237 results on '"Rathmell JC"'
Search Results
2. MYC and MCL1 Cooperatively Promote Chemotherapy-Resistant Breast Cancer Stem Cells via Regulation of Mitochondrial Oxidative Phosphorylation
- Author
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Lee KM, Giltnane JM, Balko JM, Schwarz LJ, Guerrero-Zotano AL, Hutchinson KE, Nixon MJ, Estrada MV, Sánchez V, Sanders ME, Lee T, Gómez H, Lluch A, Pérez-Fidalgo JA, Wolf MM, Andrejeva G, Rathmell JC, Fesik SW, and Arteaga CL
- Published
- 2017
3. Abstract ES6-1: How tumor metabolism contributes to the immunosuppressive microenvironment
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Rathmell, JC, primary
- Published
- 2018
- Full Text
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4. IgG-Immune Complexes Promote B Cell Memory by Inducing BAFF
- Author
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Kang S, Keener AB, Jones SZ, Benschop RJ, Caro-Maldonado A, Rathmell JC, Clarke SH, Matsushima GK, Whitmire JK, and Vilen BJ. J Immunol.
- Published
- 2015
- Full Text
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5. Control of PI(3) kinase in Tregcells maintains homeostasis and lineage stability
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Huynh, A, Dupage, M, Priyadharshini, B, Sage, PT, Quiros, J, Borges, CM, Townamchai, N, Gerriets, VA, Rathmell, JC, Sharpe, AH, Bluestone, JA, and Turka, LA
- Abstract
© 2015 Nature America, Inc. Foxp3+regulatory T cells (Tregcells) are required for immunological homeostasis. One notable distinction between conventional T cells (T conv cells) and Tregcells is differences in the activity of phosphatidylinositol-3-OH kinase (PI(3)K); only T conv cells downregulate PTEN, the main negative regulator of PI(3)K, upon activation. Here we found that control of PI(3)K in Tregcells was essential for lineage homeostasis and stability. Mice lacking Pten in Tregcells developed an autoimmune-lymphoproliferative disease characterized by excessive T helper type 1 (TH1) responses and B cell activation. Diminished control of PI(3)K activity in Tregcells led to reduced expression of the interleukin-2 (IL-2) receptor α subunit CD25, accumulation of Foxp3+CD2+cells and, ultimately, loss of expression of the transcription factor Foxp3 in these cells. Collectively, our data demonstrate that control of PI(3)K signaling by PTEN in Tregcells is critical for maintaining their homeostasis, function and stability.
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- 2015
- Full Text
- View/download PDF
6. Measurement of the bottom-strange meson mixing phase in the full CDF data set
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Aaltonen, T., Alvarez, González, Amerio, B., Amidei, S., Anastassov, D., Annovi, A., Antos, A., Apollinari, J., Appel, G., J. A., Arisawa, Artikov, T., Asaadi, A., Ashmanskas, J., Auerbach, W., Aurisano, B., Azfar, A., Badgett, F., Bae, W., Barbaro, Galtieri, Barnes, A., V. E., Barnett, B. A., Barria, Bartos, P., Bauce, P., Bedeschi, M., Behari, F., Bellettini, S., Bellinger, G., Benjamin, J., Beretvas, D., Bhatti, A., Bisello, A., Bizjak, D., Bland, I., K. R., Blumenfeld, Bocci, B., Bodek, A., Bortoletto, A., Boudreau, D., Boveia, J., Brigliadori, A., Bromberg, L., Brucken, C., Budagov, E., Budd, J., H. S., Burkett, Busetto, K., Bussey, G., Buzatu, P., Calamba, A., Calancha, A., Camarda, C., Campanelli, S., Campbell, M., Canelli, M., Carls, F., Carlsmith, B., Carosi, D., Carrillo, R., Carron, S., Casal, S., Casarsa, B., Castro, M., Catastini, A., Cauz, P., Cavaliere, D., Cavalli, Sforza, Cerri, M., Cerrito, A., Chen, L., Y. C., Chertok, Chiarelli, M., Chlachidze, G., Chlebana, G., Cho, F., Chokheli, K., Chung, D., W. H., Chung, Y. S., Ciocci, M. A., Clark, Clarke, A., Compostella, C., Convery, G., M. E., Conway, Corbo, J., Cordelli, M., Cox, M., C. A., Cox, D. J., Crescioli, Cuevas, F., Culbertson, J., Dagenhart, R., D'Ascenzo, D., Datta, N., Barbaro, De, Dell'Orso, Mauro, Demortier, M., Deninno, L., Devoto, M., D'Errico, F., Canto, Di, Ruzza, Di, Dittmann, B., J. R., D'Onofrio, Donati, Simone, Dong, P., Dorigo, M., Dorigo, T., Ebina, K., Elagin, A., Eppig, A., Erbacher, R., Errede, S., Ershaidat, N., Eusebi, R., Farrington, S., Feindt, M., Fernandez, J. P., Field, R., Flanagan, G., Forrest, R., Frank, M. J., Franklin, M., Freeman, J. C., Funakoshi, Y., Furic, I., Gallinaro, M., Garcia, J. E., Garfinkel, A. F., Garosi, P., Gerberich, H., Gerchtein, E., Giagu, S., Giakoumopoulou, V., Giannetti, P., Gibson, K., Ginsburg, C. M., Giokaris, N., Giromini, P., Giurgiu, G., Glagolev, V., Glenzinski, D., Gold, M., Goldin, D., Goldschmidt, N., Golossanov, A., Gomez, G., Gomez, Ceballos, Goncharov, G., González, M., Gorelov, O., Goshaw, I., A. T., Goulianos, Grillo, K., Grinstein, L., Grosso, Pilcher, Group, C., R. C., Guimaraes Da Costa, Hahn, J., S. R., Halkiadakis, Hamaguchi, E., Han, A., J. Y., Happacher, Hara, F., Hare, K., Hare, D., Harr, M., R. F., Hatakeyama, Hays, K., Heck, C., Heinrich, M., Herndon, J., Hewamanage, M., Hocker, S., Hopkins, A., Horn, W., Hou, D., Hughes, S., R. E., Hurwitz, Husemann, M., Hussain, U., Hussein, N., Huston, M., Introzzi, J., Iori, G., Ivanov, M., James, A., Jang, E., Jayatilaka, D., Jeon, B., E. J., Jindariani, Jones, S., Joo, M., K. K., Jun, S. Y., Junk, T. R., Kamon, Karchin, T., P. E., Kasmi, Kato, A., Ketchum, Y., Keung, W., Khotilovich, J., Kilminster, V., Kim, B., D. H., Kim, H. S., Kim, J. E., Kim, M. J., Kim, S. B., Kim, S. H., Kim, Y. K., Kim, Y. J., Kimura, Kirby, N., Klimenko, M., Knoepfel, S., Kondo, K., Kong, K., D. J., Konigsberg, Kotwal, J., A. V., Kreps, Kroll, M., Krop, J., Kruse, D., Krutelyov, M., Kuhr, V., Kurata, T., Kwang, M., Laasanen, S., A. T., Lami, Lammel, S., Lancaster, S., Lander, M., R. L., Lannon, Lath, K., Latino, A., Lecompte, G., Lee, T., Lee, E., H. S., Lee, J. S., Lee, S. W., Leo, Leone, S., Lewis, S., J. D., Limosani, Lin, A., C. J., Lindgren, Lipeles, M., Lister, E., Litvintsev, A., D. O., Liu, Liu, C., Liu, H., Liu, Q., Lockwitz, T., Loginov, S., Lucchesi, A., Lueck, D., Lujan, J., Lukens, P., Lungu, P., Lys, G., Lysak, J., Madrak, R., Maeshima, R., Maestro, K., Malik, P., Manca, S., Manousakis, Katsikakis, Margaroli, A., Marino, F., Martínez, C., Mastrandrea, M., Matera, P., Mattson, K., M. E., Mazzacane, Mazzanti, A., Mcfarland, P., K. S., Mcintyre, Mcnulty, P., Mehta, R., Mehtala, A., Mesropian, P., Miao, C., Mietlicki, T., Mitra, D., Miyake, A., Moed, H., Moggi, S., Mondragon, N., M. N., Moon, C. S., Moore, Morello, R., M. J., Morlock, Movilla, Fernandez, Mukherjee, P., Muller, A., Murat, T., Mussini, P., Nachtman, M., Nagai, J., Naganoma, Y., Nakano, J., Napier, I., Nett, A., Neu, J., Neubauer, C., M. S., Nielsen, Nodulman, J., Noh, L., S. Y., Norniella, Oakes, O., Oh, L., S. H., Oh, Y. D., Oksuzian, Okusawa, I., Orava, T., Ortolan, R., Pagan, Griso, Pagliarone, S., Palencia, C., Papadimitriou, E., Paramonov, V., A. A., Patrick, Pauletta, J., Paulini, G., Paus, M., Pellett, C., D. E., Penzo, Phillips, A., T. J., Piacentino, Pianori, G., Pilot, E., Pitts, J., Plager, K., Pondrom, C., Poprocki, L., Potamianos, S., Prokoshin, K., Pranko, F., Ptohos, A., Punzi, Giovanni, Rahaman, G., Ramakrishnan, A., Ranjan, V., Redondo, N., Renton, I., Rescigno, P., Riddick, M., Rimondi, T., Ristori, F., Robson, L., Rodrigo, A., Rodriguez, T., Rogers, T., Rolli, E., Roser, S., Ruffini, R., Ruiz, F., Russ, A., Rusu, J., Safonov, V., Sakumoto, A., W. K., Sakurai, Santi, Y., Sato, L., Saveliev, K., Savoy, Navarro, Schlabach, A., Schmidt, P., Schmidt, A., E. E., Schwarz, Scodellaro, T., Scribano, L., Scuri, A., Seidel, F., Seiya, S., Semenov, Y., Sforza, A., Shalhout, F., S. Z., Shears, Shepard, T., P. F., Shimojima, Shochet, M., Shreyber, Tecker, Simonenko, I., Sinervo, A., Sliwa, P., Smith, K., J. R., Snider, F. D., Soha, Sorin, A., Song, V., Squillacioti, H., Stancari, P., Denis, S. t., Stelzer, R., Stelzer, Chilton, Stentz, O., Strologas, D., Strycker, J., G. L., Sudo, Sukhanov, Y., Suslov, A., Takemasa, I., Takeuchi, K., Tang, Y., Tecchio, J., Teng, M., P. K., Thom, Thome, J., Thompson, J., G. A., Thomson, Toback, E., Tokar, D., Tollefson, S., Tomura, K., Tonelli, T., Torre, D., Torretta, S., Totaro, D., Trovato, P., Ukegawa, M., Uozumi, F., Varganov, S., Vázquez, A., Velev, F., Vellidis, G., Vidal, C., Vila, M., Vilar, I., Vizán, R., Vogel, J., Volpi, M., Wagner, G., Wagner, P., R. L., Wakisaka, Wallny, T., Wang, R., S. M., Warburton, Waters, A., Wester, D., W. C., Whiteson, Wicklund, D., A. B., Wicklund, Wilbur, E., Wick, S., Williams, F., H. H., Wilson, J. S., Wilson, Winer, P., B. L., Wittich, Wolbers, P., Wolfe, S., Wright, H., Wu, T., Wu, X., Yamamoto, Z., Yamato, K., Yang, D., Yang, T., U. K., Yang, Y. C., Yao, W. M., Yeh, G. P., Yi, Yoh, K., Yorita, J., Yoshida, K., Yu, T., G. B., Yu, Yu, I., S. S., Yun, J. C., Zanetti, Zeng, A., Zhou, Y., Zucchelli, C., Jy, S., Koh, Yh, Koike, M, Komatsu, M, Kominami, E, Kong, Hj, Kong, Wj, Korolchuk, Vi, Kotake, Y, Koukourakis, Mi, Kouri Flores JB, Kovács, Al, Kraft, C, Krainc, D, Krämer, H, Kretz Remy, C, Krichevsky, Am, Kroemer, G, Krüger, R, Krut, O, Ktistakis, Nt, Kuan, Cy, Kucharczyk, R, Kumar, A, Kumar, R, Kumar, S, Kundu, M, Kung, Hj, Kurz, T, Kwon, Hj, La Spada AR, Lafont, F, Lamark, T, Landry, J, Lane, Jd, Lapaquette, P, Laporte, Jf, László, L, Lavandero, S, Lavoie, Jn, Layfield, R, Lazo, Pa, Le, W, Le Cam, L, Ledbetter, Dj, Lee, Aj, Lee, Bw, Lee, Gm, Lee, J, Lee, Jh, Lee, M, Lee, Ms, Lee, Sh, Leeuwenburgh, C, Legembre, P, Legouis, R, Lehmann, M, Lei, Hy, Lei, Qy, Leib, Da, Leiro, J, Lemasters, Jj, Lemoine, A, Lesniak, Ms, Lev, D, Levenson, Vv, Levine, B, Levy, E, Li, F, Li, Jl, Li, L, Li, S, Li, W, Li, Xj, Li, Yb, Li, Yp, Liang, C, Liang, Q, Liao, Yf, Liberski, Pp, Lieberman, A, Lim, Hj, Lim, Kl, Lim, K, Lin, Cf, Lin, Fc, Lin, J, Lin, Jd, Lin, K, Lin, Ww, Lin, Wc, Lin, Yl, Linden, R, Lingor, P, Lippincott Schwartz, J, Lisanti, Mp, Liton, Pb, Liu, B, Liu, Cf, Liu, K, Liu, L, Liu, Qa, Liu, W, Liu, Yc, Liu, Y, Lockshin, Ra, Lok, Cn, Lonial, S, Loos, B, Lopez Berestein, G, López Otín, C, Lossi, L, Lotze, Mt, Lőw, P, Lu, B, Lu, Z, Luciano, F, Lukacs, Nw, Lund, Ah, Lynch Day MA, Ma, Y, Macian, F, Mackeigan, Jp, Macleod, Kf, Madeo, F, Maiuri, L, Maiuri, Mc, Malagoli, D, Malicdan, Mc, Malorni, W, Man, N, Mandelkow, Em, Manon, S, Manov, I, Mao, K, Mao, X, Mao, Z, Marambaud, P, Marazziti, D, Marcel, Yl, Marchbank, K, Marchetti, P, Marciniak, Sj, Marcondes, M, Mardi, M, Marfe, G, Mariño, G, Markaki, M, Marten, Mr, Martin, Sj, Martinand Mari, C, Martinet, W, Martinez Vicente, M, Masini, M, Matarrese, P, Matsuo, S, Matteoni, R, Mayer, A, Mazure, Nm, Mcconkey, Dj, Mcconnell, Mj, Mcdermott, C, Mcdonald, C, Mcinerney, Gm, Mckenna, Sl, Mclaughlin, B, Mclean, Pj, Mcmaster, Cr, Mcquibban, Ga, Meijer, Aj, Meisler, Mh, Meléndez, A, Melia, Tj, Melino, G, Mena, Ma, Menendez, Ja, Menna Barreto RF, Menon, Mb, Menzies, Fm, Mercer, Ca, Merighi, A, Merry, De, Meschini, S, Meyer, Cg, Meyer, Tf, Miao, Cy, Miao, Jy, Michels, Pa, Michiels, C, Mijaljica, D, Milojkovic, A, Minucci, S, Miracco, C, Miranti, Ck, Mitroulis, I, Miyazawa, K, Mizushima, N, Mograbi, B, Mohseni, S, Molero, X, Mollereau, B, Mollinedo, F, Momoi, T, Monastyrska, I, Monick, Mm, Monteiro, Mj, Moore, Mn, Mora, R, Moreau, K, Moreira, Pi, Moriyasu, Y, Moscat, J, Mostowy, S, Mottram, Jc, Motyl, T, Moussa, Ce, Müller, S, Muller, S, Münger, K, Münz, C, Murphy, Lo, Murphy, Me, Musarò, A, Mysorekar, I, Nagata, E, Nagata, K, Nahimana, A, Nair, U, Nakagawa, T, Nakahira, K, Nakano, H, Nakatogawa, H, Nanjundan, M, Naqvi, Ni, Narendra, Dp, Narita, M, Navarro, M, Nawrocki, St, Nazarko, Ty, Nemchenko, A, Netea, Mg, Neufeld, Tp, Ney, Pa, Nezis, Ip, Nguyen, Hp, Nie, D, Nishino, I, Nislow, C, Nixon, Ra, Noda, T, Noegel, Aa, Nogalska, A, Noguchi, S, Notterpek, L, Novak, I, Nozaki, T, Nukina, N, Nürnberger, T, Nyfeler, B, Obara, K, Oberley, Td, Oddo, S, Ogawa, M, Ohashi, T, Okamoto, K, Oleinick, Nl, Oliver, Fj, Olsen, Lj, Olsson, S, Opota, O, Osborne, Tf, Ostrander, Gk, Otsu, K, Ou, Jh, Ouimet, M, Overholtzer, M, Ozpolat, B, Paganetti, P, Pagnini, U, Pallet, N, Palmer, Ge, Palumbo, C, Pan, T, Panaretakis, T, Pandey, Ub, Papackova, Z, Papassideri, I, Paris, I, Park, J, Park, Ok, Parys, Jb, Parzych, Kr, Patschan, S, Patterson, C, Pattingre, S, Pawelek, Jm, Peng, J, Perlmutter, Dh, Perrotta, I, Perry, G, Pervaiz, S, Peter, M, Peters, Gj, Petersen, M, Petrovski, G, Phang, Jm, Piacentini, M, Pierre, P, Pierrefite Carle, V, Pierron, G, Pinkas Kramarski, R, Piras, A, Piri, N, Platanias, Lc, Pöggeler, S, Poirot, M, Poletti, A, Poüs, C, Pozuelo Rubio, M, Prætorius Ibba, M, Prasad, A, Prescott, M, Priault, M, Produit Zengaffinen, N, Progulske Fox, A, Proikas Cezanne, T, Przedborski, S, Przyklenk, K, Puertollano, R, Puyal, J, Qian, Sb, Qin, L, Qin, Zh, Quaggin, Se, Raben, N, Rabinowich, H, Rabkin, Sw, Rahman, I, Rami, A, Ramm, G, Randall, G, Randow, F, Rao, Va, Rathmell, Jc, Ravikumar, B, Ray, Sk, Reed, Bh, Reed, Jc, Reggiori, F, Régnier Vigouroux, A, Reichert, As, Reiners JJ Jr, Reiter, Rj, Ren, J, Revuelta, Jl, Rhodes, Cj, Ritis, K, Rizzo, E, Robbins, J, Roberge, M, Roca, H, Roccheri, Mc, Rocchi, S, Rodemann, Hp, Rodríguez de Córdoba, S, Rohrer, B, Roninson, Ib, Rosen, K, Rost Roszkowska MM, Rouis, M, Rouschop, Km, Rovetta, F, Rubin, Bp, Rubinsztein, Dc, Ruckdeschel, K, Rucker EB 3rd, Rudich, A, Rudolf, E, Ruiz Opazo, N, Russo, R, Rusten, Te, Ryan, Km, Ryter, Sw, Sabatini, Dm, Sadoshima, J, Saha, T, Saitoh, T, Sakagami, H, Sakai, Y, Salekdeh, Gh, Salomoni, P, Salvaterra, Pm, Salvesen, G, Salvioli, R, Sanchez, Am, Sánchez Alcázar JA, Sánchez Prieto, R, Sandri, M, Sankar, U, Sansanwal, P, Santambrogio, L, Saran, S, Sarkar, S, Sarwal, M, Sasakawa, C, Sasnauskiene, A, Sass, M, Sato, K, Sato, M, Schapira, Ah, Scharl, M, Schätzl, Hm, Scheper, W, Schiaffino, S, Schneider, C, Schneider, Me, Schneider Stock, R, Schoenlein, Pv, Schorderet, Df, Schüller, C, Schwartz, Gk, Scorrano, L, Sealy, L, Seglen, Po, Segura Aguilar, J, Seiliez, I, Seleverstov, O, Sell, C, Seo, Jb, Separovic, D, Setaluri, V, Setoguchi, T, Settembre, C, Shacka, Jj, Shanmugam, M, Shapiro, Im, Shaulian, E, Shaw, Rj, Shelhamer, Jh, Shen, Hm, Shen, Wc, Sheng, Zh, Shi, Y, Shibuya, K, Shidoji, Y, Shieh, Jj, Shih, Cm, Shimada, Y, Shimizu, S, Shintani, T, Shirihai, Os, Shore, Gc, Sibirny, Aa, Sidhu, Sb, Sikorska, B, Silva Zacarin EC, Simmons, A, Simon, Ak, Simon, Hu, Simone, C, Simonsen, A, Sinclair, Da, Singh, R, Sinha, D, Sinicrope, Fa, Sirko, A, Siu, Pm, Sivridis, E, Skop, V, Skulachev, Vp, Slack, Rs, Smaili, Ss, Smith, Dr, Soengas, Ms, Soldati, T, Song, X, Sood, Ak, Soong, Tw, Sotgia, F, Spector, Sa, Spies, Cd, Springer, W, Srinivasula, Sm, Stefanis, L, Steffan, Js, Stendel, R, Stenmark, H, Stephanou, A, Stern, St, Sternberg, C, Stork, B, Strålfors, P, Subauste, Cs, Sui, X, Sulzer, D, Sun, J, Sun, Sy, Sun, Zj, Sung, Jj, Suzuki, K, Suzuki, T, Swanson, Ms, Swanton, C, Sweeney, St, Sy, Lk, Szabadkai, G, Tabas, I, Taegtmeyer, H, Tafani, M, Takács Vellai, K, Takano, Y, Takegawa, K, Takemura, G, Takeshita, F, Talbot, Nj, Tan, Ks, Tanaka, K, Tang, D, Tanida, I, Tannous, Ba, Tavernarakis, N, Taylor, Gs, Taylor, Ga, Taylor, Jp, Terada, Ls, Terman, A, Tettamanti, G, Thevissen, K, Thompson, Cb, Thorburn, A, Thumm, M, Tian, F, Tian, Y, Tocchini Valentini, G, Tolkovsky, Am, Tomino, Y, Tönges, L, Tooze, Sa, Tournier, C, Tower, J, Towns, R, Trajkovic, V, Travassos, Lh, Tsai, Tf, Tschan, Mp, Tsubata, T, Tsung, A, Turk, B, Turner, Ls, Tyagi, Sc, Uchiyama, Y, Ueno, T, Umekawa, M, Umemiya, Shira, T., Aaltonen, B. A., Gonzalez, S., Amerio, D., Amidei, A., Anastassov, A., Annovi, J., Anto, G., Apollinari, J. A., Appel, T., Arisawa, A., Artikov, J., Asaadi, W., Ashmanska, B., Auerbach, A., Aurisano, F., Azfar, W., Badgett, T., Bae, A., Barbaro Galtieri, V. E., Barne, B. A., Barnett, P., Barria, P., Barto, M., Bauce, F., Bedeschi, S., Behari, G., Bellettini, J., Bellinger, D., Benjamin, A., Beretva, A., Bhatti, D., Bisello, I., Bizjak, K. R., Bland, B., Blumenfeld, A., Bocci, A., Bodek, D., Bortoletto, J., Boudreau, A., Boveia, L., Brigliadori, C., Bromberg, E., Brucken, J., Budagov, H. S., Budd, K., Burkett, G., Busetto, P., Bussey, A., Buzatu, A., Calamba, C., Calancha, S., Camarda, M., Campanelli, M., Campbell, F., Canelli, B., Carl, D., Carlsmith, R., Carosi, S., Carrillo, S., Carron, B., Casal, M., Casarsa, A., Castro, P., Catastini, D., Cauz, V., Cavaliere, M., Cavalli Sforza, A., Cerri, L., Cerrito, Y. 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Velev, C. Vellidi, M. Vidal, I. Vila, R. Vilar, J. Vizán, M. Vogel, G. Volpi, P. Wagner, R. Wagner, T. Wakisaka, R. Wallny, S. Wang, A. Warburton, D. Water, W. Wester, D. Whiteson, A. Wicklund, E. Wicklund, S. Wilbur, F. Wick, H. William, J. Wilson, P. Wilson, B. Winer, P. Wittich, S. Wolber, H. Wolfe, T. Wright, X. Wu, Z. Wu, K. Yamamoto, D. Yamato, T. Yang, U. Yang, Y. Yang, W.-M. Yao, G. Yeh, K. Yi, J. Yoh, K. Yorita, T. Yoshida, G. Yu, I. Yu, S. Yu, J. Yun, A. Zanetti, Y. Zeng, C. Zhou, S. Zucchelli, and Universidad de Cantabria
- Subjects
FERMILAB TEVATRON COLLIDER ,Particle physics ,CP-violating asymmetries ,Meson ,B physic ,General Physics and Astronomy ,FOS: Physical sciences ,B physics ,Angle distribution, Branching ratio, CDF experiments, CP violations, CP-violating asymmetries, Data sample, Fermilab Tevatron collider, Integrated luminosity, Longitudinal polarization, Vector meson ,Longitudinal polarization ,7. Clean energy ,01 natural sciences ,High Energy Physics - Experiment ,Vector meson ,Physics and Astronomy (all) ,High Energy Physics - Experiment (hep-ex) ,High Energy Physics - Phenomenology (hep-ph) ,Mixing (mathematics) ,Strange b mesons ,Phase (matter) ,0103 physical sciences ,STRANGE QUARK ,mixing ,Bottom-Strange Meson Mixing Phase ,proton antiproton collisions ,010306 general physics ,TEVATRON ,Nuclear Experiment ,BOTTOM QUARK ,Physics ,Integrated luminosity ,010308 nuclear & particles physics ,Branching ratio ,High Energy Physics - Phenomenology ,CDF experiments ,CP violations ,Full data ,Content (measure theory) ,Angle distribution ,CDF ,Production (computer science) ,High Energy Physics::Experiment ,Data sample - Abstract
We report a measurement of the bottom-strange meson mixing phase βs using the time evolution of Bs0→J/ψ(→μ+μ-)ϕ(→K+K-) decays in which the quark-flavor content of the bottom-strange meson is identified at production. This measurement uses the full data set of proton-antiproton collisions at s=1.96 TeV collected by the Collider Detector experiment at the Fermilab Tevatron, corresponding to 9.6 fb-1 of integrated luminosity. We report confidence regions in the two-dimensional space of βs and the Bs0 decay-width difference ΔΓs and measure βs∈[-π/2,-1.51]∪[-0.06,0.30]∪[1.26,π/2] at the 68% confidence level, in agreement with the standard model expectation. Assuming the standard model value of βs, we also determine ΔΓs=0.068±0.026(stat)±0.009(syst) ps-1 and the mean Bs0 lifetime τs=1.528±0.019(stat)±0.009(syst) ps, which are consistent and competitive with determinations by other experiments., This work was supported by the U.S. Department of Energy and National Science Foundation; the Italian Istituto Nazionale di Fisica Nucleare; the Ministry of Education, Culture, Sports, Science and Technology of Japan; the Natural Sciences and Engineering Research Council of Canada; the National Science Council of the Republic of China; the Swiss National Science Foundation; the A. P. Sloan Foundation; the Bundesministerium für Bildung und Forschung, Germany; the Korean World Class University Program, the National Research Foundation of Korea; the Science and Technology Facilities Council and the Royal Society, UK; the Russian Foundation for Basic Research; the Ministerio de Ciencia e Innovación, and Programa Consolider-Ingenio 2010, Spain; the Slovak R&D Agency; the Academy of Finland; and the Australian Research Council (ARC).
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- 2012
7. Guidelines for the use and interpretation of assays for monitoring autophagy.
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Weiss, Wa, Welford, Sm, Wen, Lp, Whitehouse, Ca, Whitton, Jl, Whitworth, Aj, Wileman, T, Wiley, Jw, Wilkinson, S, Willbold, D, Williams, Rl, Williamson, Pr, Wouters, Bg, Wu, C, Wu, Dc, Wu, Wk, Wyttenbach, A, Xavier, Rj, Xi, Z, Xia, P, Xiao, G, Xie, Z, Xu, Dz, Xu, J, Xu, L, Xu, X, Yamamoto, A, Yamashina, S, Yamashita, M, Yan, X, Yanagida, M, Yang, D, Yang, E, Yang, Jm, Yang, Sy, Yang, W, Yang, Wy, Yang, Z, Yao, Mc, Yao, Tp, Yeganeh, B, Yen, Wl, Yin, Jj, Yin, Xm, Yoo, Oj, Yoon, G, Yoon, Sy, Yorimitsu, T, Yoshikawa, Y, Yoshimori, T, Yoshimoto, K, You, Hj, Youle, Rj, Younes, A, Yu, L, Yu, Sw, Yu, Wh, Yuan, Zm, Yue, Z, Yun, Ch, Yuzaki, M, Zabirnyk, O, Silva-Zacarin, E, Zacks, D, Zacksenhaus, E, Zaffaroni, N, Zakeri, Z, Zeh HJ, 3rd, Zeitlin, So, Zhang, H, Zhang, Hl, Zhang, J, Zhang, Jp, Zhang, L, Zhang, My, Zhang, Xd, Zhao, M, Zhao, Yf, Zhao, Y, Zhao, Zj, Zheng, X, Zhivotovsky, B, Zhong, Q, Zhou, Cz, Zhu, C, Zhu, Wg, Zhu, Xf, Zhu, X, Zhu, Y, Zoladek, T, Zong, Wx, Zorzano, A, Zschocke, J, Zuckerbraun, B., and Viscomi M. T. (ORCID:0000-0002-9096-4967)
- Abstract
In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused o
- Published
- 2012
8. Designing a broad-spectrum integrative approach for cancer prevention and treatment
- Author
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Chandra S. Boosani, William K. Decker, Punita Dhawan, Georgia Zhuo Chen, Mark E. Prince, Balakrishna L. Lokeshwar, Nagi B. Kumar, Michelle F. Green, Alan Bilsland, Michael P. Murphy, Dong M. Shin, H.P. Vasantha Rupasinghe, Paul Yaswen, Anupam Bishayee, Christian Frezza, John Stagg, Mahin Khatami, Lynnette R. Ferguson, R. Brooks Robeydf, Kanya Honoki, Alan K. Meeker, A.R.M. Ruhul Amin, Huanjie Yang, Eoin McDonnell, Virginia R. Parslow, Phuoc T. Tran, Patricia Hentosh, Frank Gieseler, Gloria S. Huang, Sulma I. Mohammed, Ho Young Lee, Giovanna Damia, Alexandra Arreola, Wamidh H. Talib, Mark A. Feitelson, Luigi Ricciardiello, Massimo Zollo, Sarallah Rezazadeh, Diana M. Stafforini, Katia Aquilano, Phillip Karpowicz, Markus D. Siegelin, Neetu Singh, Alexandros G. Georgakilas, Domenico Ribatti, Neeraj K. Saxena, Carl Smythe, Beom K. Choi, Mark M. Fuster, Gian Luigi Russo, Amedeo Amedei, Anna Mae Diehl, Terry Lichtor, D. James Morré, Charlotte Gyllenhaal, Vasundara Venkateswaran, Colleen S. Curran, Ramzi M. Mohammad, Jiyue Zhu, Anne Leb, Lizzia Raffaghello, Fabian Benencia, Sid P. Kerkar, Eddy S. Yang, Wen Guo Jiang, Jason W. Locasale, Alla Arzumanyan, W. Nicol Keith, Dorota Halicka, Gunjan Guhal, Xin Yin, Helen Chen, Irfana Muqbil, Gary L. Firestone, Panagiotis J. Vlachostergios, Maria Marino, Meenakshi Malhotra, Stacy W. Blain, Amancio Carnero, Liang Tzung Lin, Dass S. Vinay, Satya Prakash, Hsue-Yin Hsu, María L. Martínez-Chantar, Daniele Generali, Jeffrey C. Rathmell, Karen L. MacKenzie, Valter D. Longo, Dipita Bhakta, Ralph J. DeBerardinis, S. Salman Ashraf, Elena Niccolai, Hendrik Ungefroren, Carmela Fimognari, Mahya Mehrmohamadi, Zongwei Wang, Clement G. Yedjou, Costas A. Lyssiotis, Lasse Jensen, Jörg Reichrath, Sarah K. Thompson, Rita Nahta, David Sidransky, Q. Ping Dou, Brendan Grue, Isidro Sánchez-García, Brad Poore, Helen M. Coley, Bassel F. El-Rayes, Sophie Chen, Randall F. Holcombe, Dipali Sharma, Mrinmay Chakrabarti, Asfar S. Azmi, William G. Helferich, Gregory A. Michelotti, H. M. C. Shantha Kumara, Petr Heneberg, Rodney E. Shackelford, Andrew James Sanders, Daniel Sliva, Swapan K. Ray, Omer Kucuk, Christopher Maxwellx, Abbas Samadi, Leroy Lowe, Sarah Crawford, Daniele Santini, Andrew Collins, Yi Charlie Chen, Santanu Dasgupta, Kathryn E. Wellen, Richard L. Whelan, Janice E. Drewa, Ander Matheu, Sharanya Sivanand, Tetsuro Sasada, Xujuan Yang, Lee W. Jones, Byoung S. Kwon, Amr Amin, Francis Rodierdh, Ganji Purnachandra Nagaraju, Charlotta Dabrosin, Graham Pawelec, Rob J. Kulathinal, Elizabeth P. Ryan, Hiromasa Fujii, Thomas E. Carey, Somaira Nowsheen, Young Hee Ko, Deepak Poudyal, Eyad Elkord, Emanuela Signori, Rupesh Chaturvedi, Peter L. Pedersen, Carmela Spagnuolo, Keith I. Block, Marianeve Carotenuto, Vinayak Muralidharcq, Stephanie C. Casey, Kapil Mehta, Tabetha Sundin, Dean W. Felsheru, Matthew D. Hirschey, Matthew G. Vander Heiden, Lorne J. Hofseth, Francesco Pantano, Maria Rosa Ciriolo, Michael A. Leab, Carolina Panis, Marisa Connell, Gazala Khan, W. Kimryn Rathmell, Malancha Sarkar, Michael Gilbertson, Jack L. Arbiser, Penny B. Block, Pochi R. Subbarayan, Jin-Tang Dong, Frezza, Christian [0000-0002-3293-7397], Murphy, Mike [0000-0003-1115-9618], Apollo - University of Cambridge Repository, National Institutes of Health (US), Ministerio de Economía y Competitividad (España), Instituto de Salud Carlos III, Junta de Andalucía, Associazione Italiana per la Ricerca sul Cancro, Avon Foundation for Women, Junta de Castilla y León, Ministerio de Ciencia e Innovación (España), Federal Ministry of Education and Research (Germany), Canadian Institutes of Health Research, Ikerbasque Basque Foundation for Science, American Cancer Society, European Commission, Swedish Research Council, University of Glasgow, Block, Keith I, Gyllenhaal, Charlotte, Lowe, Leroy, Amedei, Amedeo, Amin, A. R. M. Ruhul, Amin, Amr, Aquilano, Katia, Arbiser, Jack, Arreola, Alexandra, Arzumanyan, Alla, Ashraf, S. Salman, Azmi, Asfar S, Benencia, Fabian, Bhakta, Dipita, Bilsland, Alan, Bishayee, Anupam, Blain, Stacy W, Block, Penny B, Boosani, Chandra S, Carey, Thomas E, Carnero, Amancio, Carotenuto, Marianeve, Casey, Stephanie C, Chakrabarti, Mrinmay, Chaturvedi, Rupesh, Chen, Georgia Zhuo, Chen, Helen, Chen, Sophie, Chen, Yi Charlie, Choi, Beom K, Ciriolo, Maria Rosa, Coley, Helen M, Collins, Andrew R, Connell, Marisa, Crawford, Sarah, Curran, Colleen S, Dabrosin, Charlotta, Damia, Giovanna, Dasgupta, Santanu, Deberardinis, Ralph J, Decker, William K, Dhawan, Punita, Diehl, Anna Mae E, Dong, Jin Tang, Dou, Q. Ping, Drew, Janice E, Elkord, Eyad, El Rayes, Bassel, Feitelson, Mark A, Felsher, Dean W, Ferguson, Lynnette R, Fimognari, Carmela, Firestone, Gary L, Frezza, Christian, Fujii, Hiromasa, Fuster, Mark M, Generali, Daniele, Georgakilas, Alexandros G, Gieseler, Frank, Gilbertson, Michael, Green, Michelle F, Grue, Brendan, Guha, Gunjan, Halicka, Dorota, Helferich, William G, Heneberg, Petr, Hentosh, Patricia, Hirschey, Matthew D, Hofseth, Lorne J, Holcombe, Randall F, Honoki, Kanya, Hsu, Hsue Yin, Huang, Gloria S, Jensen, Lasse D, Jiang, Wen G, Jones, Lee W, Karpowicz, Phillip A, Keith, W. Nicol, Kerkar, Sid P, Khan, Gazala N, Khatami, Mahin, Ko, Young H, Kucuk, Omer, Kulathinal, Rob J, Kumar, Nagi B, Kwon, Byoung S, Le, Anne, Lea, Michael A, Lee, Ho Young, Lichtor, Terry, Lin, Liang Tzung, Locasale, Jason W, Lokeshwar, Bal L, Longo, Valter D, Lyssiotis, Costas A, Mackenzie, Karen L, Malhotra, Meenakshi, Marino, Maria, Martinez Chantar, Maria L, Matheu, Ander, Maxwell, Christopher, Mcdonnell, Eoin, Meeker, Alan K, Mehrmohamadi, Mahya, Mehta, Kapil, Michelotti, Gregory A, Mohammad, Ramzi M, Mohammed, Sulma I, Morre, D. Jame, Muralidhar, Vinayak, Muqbil, Irfana, Murphy, Michael P, Nagaraju, Ganji Purnachandra, Nahta, Rita, Niccolai, Elena, Nowsheen, Somaira, Panis, Carolina, Pantano, Francesco, Parslow, Virginia R, Pawelec, Graham, Pedersen, Peter L, Poore, Brad, Poudyal, Deepak, Prakash, Satya, Prince, Mark, Raffaghello, Lizzia, Rathmell, Jeffrey C, Rathmell, W. Kimryn, Ray, Swapan K, Reichrath, Jörg, Rezazadeh, Sarallah, Ribatti, Domenico, Ricciardiello, Luigi, Robey, R. Brook, Rodier, Franci, Rupasinghe, H. P. Vasantha, Russo, Gian Luigi, Ryan, Elizabeth P, Samadi, Abbas K, Sanchez Garcia, Isidro, Sanders, Andrew J, Santini, Daniele, Sarkar, Malancha, Sasada, Tetsuro, Saxena, Neeraj K, Shackelford, Rodney E, Shantha Kumara, H. M. C, Sharma, Dipali, Shin, Dong M, Sidransky, David, Siegelin, Markus David, Signori, Emanuela, Singh, Neetu, Sivanand, Sharanya, Sliva, Daniel, Smythe, Carl, Spagnuolo, Carmela, Stafforini, Diana M, Stagg, John, Subbarayan, Pochi R, Sundin, Tabetha, Talib, Wamidh H, Thompson, Sarah K, Tran, Phuoc T, Ungefroren, Hendrik, Vander Heiden, Matthew G, Venkateswaran, Vasundara, Vinay, Dass S, Vlachostergios, Panagiotis J, Wang, Zongwei, Wellen, Kathryn E, Whelan, Richard L, Yang, Eddy S, Yang, Huanjie, Yang, Xujuan, Yaswen, Paul, Yedjou, Clement, Yin, Xin, Zhu, Jiyue, Zollo, Massimo, Amin, A R M Ruhul, Ashraf, S Salman, Dong, Jin-Tang, Dou, Q Ping, El-Rayes, Bassel, Hsu, Hsue-Yin, Keith, W Nicol, Lee, Ho-Young, Lin, Liang-Tzung, Martinez-Chantar, Maria L, Morre, D Jame, Rathmell, W Kimryn, Robey, R Brook, Rupasinghe, H P Vasantha, Sanchez-Garcia, Isidro, Shantha Kumara, H M C, Block, Ki, Gyllenhaal, C, Lowe, L, Amedei, A, Amin, Ar, Amin, A, Aquilano, K, Arbiser, J, Arreola, A, Arzumanyan, A, Ashraf, S, Azmi, A, Benencia, F, Bhakta, D, Bilsland, A, Bishayee, A, Blain, Sw, Block, Pb, Boosani, C, Carey, Te, Carnero, A, Casey, Sc, Chakrabarti, M, Chaturvedi, R, Chen, Gz, Chen, H, Chen, S, Chen, Yc, Choi, Bk, Ciriolo, Mr, Coley, Hm, Collins, Ar, Connell, M, Crawford, S, Curran, C, Dabrosin, C, Damia, G, Dasgupta, S, Deberardinis, Rj, Decker, Wk, Dhawan, P, Diehl, Am, Dong, Jt, Dou, Qp, Drew, Je, Elkord, E, El Rayes, B, Feitelson, Ma, Felsher, Dw, Ferguson, Lr, Fimognari, C, Firestone, Gl, Frezza, C, Fujii, H, Fuster, Mm, Generali, D, Georgakilas, Ag, Gieseler, F, Gilbertson, M, Green, Mf, Grue, B, Guha, G, Halicka, D, Helferich, Wg, Heneberg, P, Hentosh, P, Hirschey, Md, Hofseth, Lj, Holcombe, Rf, Honoki, K, Hsu, Hy, Huang, G, Jensen, Ld, Jiang, Wg, Jones, Lw, Karpowicz, Pa, Keith, Wn, Kerkar, Sp, Khan, Gn, Khatami, M, Ko, Yh, Kucuk, O, Kulathinal, Rj, Kumar, Nb, Kwon, B, Le, A, Lea, Ma, Lee, Hy, Lichtor, T, Lin, Lt, Locasale, Jw, Lokeshwar, Bl, Longo, Vd, Lyssiotis, Ca, Mackenzie, Kl, Malhotra, M, Marino, M, Martinez Chantar, Ml, Matheu, A, Maxwell, C, Mcdonnell, E, Meeker, Ak, Mehrmohamadi, M, Mehta, K, Michelotti, Ga, Mohammad, Rm, Mohammed, Si, Morre, Dj, Muralidhar, V, Muqbil, I, Murphy, Mp, Nagaraju, Gp, Nahta, R, Niccolai, E, Nowsheen, S, Panis, C, Pantano, F, Parslow, Vr, Pawelec, G, Pedersen, Pl, Poore, B, Poudyal, D, Prakash, S, Prince, M, Raffaghello, L, Rathmell, Jc, Rathmell, Wk, Ray, Sk, Reichrath, J, Rezazadeh, S, Ribatti, D, Ricciardiello, L, Robey, Rb, Rodier, F, Rupasinghe, Hp, Russo, Gl, Ryan, Ep, Samadi, Ak, Sanchez Garcia, I, Sanders, Aj, Santini, D, Sarkar, M, Sasada, T, Saxena, Nk, Shackelford, Re, Shantha Kumara, Hm, Sharma, D, Shin, Dm, Sidransky, D, Siegelin, Md, Signori, E, Singh, N, Sivanand, S, Sliva, D, Smythe, C, Spagnuolo, C, Stafforini, Dm, Stagg, J, Subbarayan, Pr, Sundin, T, Talib, Wh, Thompson, Sk, Tran, Pt, Ungefroren, H, Vander Heiden, Mg, Venkateswaran, V, Vinay, D, Vlachostergios, Pj, Wang, Z, Wellen, Ke, Whelan, Rl, Yang, E, Yang, H, Yang, X, Yaswen, P, Yedjou, C, Yin, X, Zhu, J, Massachusetts Institute of Technology. Department of Biology, Koch Institute for Integrative Cancer Research at MIT, Vander Heiden, Matthew G., Ruhul Amin, A. R. M., Salman Ashraf, S., Azmi, Asfar S., Blain, Stacy W., Block, Penny B., Boosani, Chandra S., Carey, Thomas E., Casey, Stephanie C., Choi, Beom K., Coley, Helen M., Collins, Andrew R., Curran, Colleen S., Deberardinis, Ralph J., Decker, William K., Diehl, Anna Mae E., Drewa, Janice E., Feitelson, Mark A., Felsheru, Dean W., Ferguson, Lynnette R., Firestone, Gary L., Fuster, Mark M., Georgakilas, Alexandros G., Green, Michelle F., Guhal, Gunjan, Helferich, William G., Hirschey, Matthew D., Hofseth, Lorne J., Holcombe, Randall F., Huang, Gloria S., Jensen, Lasse D., Jiang, Wen G., Jones, Lee W., Karpowicz, Phillip A., Kerkar, Sid P., Khan, Gazala N., Ko, Young H., Kulathinal, Rob J., Kumar, Nagi B., Kwon, Byoung S., Leb, Anne, Leab, Michael A., Locasale, Jason W., Lokeshwar, Bal L., Longo, Valter D., Lyssiotis, Costas A., Maxwellx, Christopher, Meeker, Alan K., Michelotti, Gregory A., Mohammad, Ramzi M., Mohammed, Sulma I., Muralidharcq, Vinayak, Murphy, Michael P., Parslow, Virginia R., Pedersen, Peter L., Rathmell, Jeffrey C., Ray, Swapan K., Robeydf, R. Brook, Rodierdh, Franci, Ryan, Elizabeth P., Samadi, Abbas K., Sanders, Andrew J., Saxena, Neeraj K., Shackelford, Rodney E., Shantha Kumara, H. M. C., Shin, Dong M., Stafforini, Diana M., Subbarayan, Pochi R., Talib, Wamidh H., Thompson, Sarah K., Tran, Phuoc T., Vinay, Dass S., Vlachostergios, Panagiotis J., Wellen, Kathryn E., Whelan, Richard L., and Yang, Eddy S.
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Cancer Research ,medicine.medical_treatment ,Phytochemicals ,ComputingMilieux_LEGALASPECTSOFCOMPUTING ,Pharmacology ,Bioinformatics ,Targeted therapy ,Broad spectrum ,0302 clinical medicine ,Cancer hallmark ,Neoplasms ,Tumor Microenvironment ,Molecular Targeted Therapy ,Precision Medicine ,ComputingMilieux_MISCELLANEOUS ,0303 health sciences ,Cancer hallmarks ,Integrative medicine ,Multi-targeted ,1. No poverty ,Life Sciences ,3. Good health ,030220 oncology & carcinogenesis ,Signal Transduction ,Phytochemical ,Article ,RC0254 ,03 medical and health sciences ,Therapeutic approach ,Genetic Heterogeneity ,medicine ,Humans ,Settore BIO/10 ,Biology ,030304 developmental biology ,Tumor microenvironment ,Cancer och onkologi ,Cancer prevention ,business.industry ,Cancer ,Precision medicine ,medicine.disease ,Antineoplastic Agents, Phytogenic ,Drug Resistance, Neoplasm ,Data_GENERAL ,Cancer and Oncology ,business - Abstract
Under a Creative Commons license.-- Review.-- et al., Targeted therapies and the consequent adoption of >personalized> oncology have achieved notablesuccesses in some cancers; however, significant problems remain with this approach. Many targetedtherapies are highly toxic, costs are extremely high, and most patients experience relapse after a fewdisease-free months. Relapses arise from genetic heterogeneity in tumors, which harbor therapy-resistantimmortalized cells that have adopted alternate and compensatory pathways (i.e., pathways that are notreliant upon the same mechanisms as those which have been targeted). To address these limitations, aninternational task force of 180 scientists was assembled to explore the concept of a low-toxicity >broad-spectrum> therapeutic approach that could simultaneously target many key pathways and mechanisms. Using cancer hallmark phenotypes and the tumor microenvironment to account for the various aspectsof relevant cancer biology, interdisciplinary teams reviewed each hallmark area and nominated a widerange of high-priority targets (74 in total) that could be modified to improve patient outcomes. For thesetargets, corresponding low-toxicity therapeutic approaches were then suggested, many of which werephytochemicals. Proposed actions on each target and all of the approaches were further reviewed forknown effects on other hallmark areas and the tumor microenvironment. Potential contrary or procar-cinogenic effects were found for 3.9% of the relationships between targets and hallmarks, and mixedevidence of complementary and contrary relationships was found for 7.1%. Approximately 67% of therelationships revealed potentially complementary effects, and the remainder had no known relationship. Among the approaches, 1.1% had contrary, 2.8% had mixed and 62.1% had complementary relationships. These results suggest that a broad-spectrum approach should be feasible from a safety standpoint. Thisnovel approach has potential to be relatively inexpensive, it should help us address stages and types ofcancer that lack conventional treatment, and it may reduce relapse risks. A proposed agenda for futureresearch is offered., Amr Amin was funded by Terry Fox Foundation Grant # TF-13-20 and UAEU Program for Advanced Research (UPAR) #31S118; Jack Arbiser was funded by NIHAR47901; Alexandra Arreola was funded by NIH NRSA Grant F31CA154080; Alla Arzumanyan was funded by NIH (NIAID) R01: Combination therapies for chronic HBV, liver disease, and cancer (AI076535); Work in the lab of Asfar S. Azmi is supported by NIH R21CA188818 as well as from Sky Foundation Inc. Michigan; Fabian Benencia was supported by NIH Grant R15 CA137499-01; Alan Bilsland was supported by the University of Glasgow, Beatson Oncology Centre Fund, CRUK (www.cancerresearchuk.org) Grant C301/A14762; Amancio Carnero was supported by grants from the Spanish Ministry of Economy and Competitivity, ISCIII (Fis: PI12/00137, RTICC: RD12/0036/0028) co-funded by FEDER from Regional Development European Funds (European Union), Consejeria de Ciencia e Innovacion (CTS-6844 and CTS-1848) and Consejeria de Salud of the Junta de Andalucia (PI-0135-2010 and PI-0306-2012). His work on this project has also been made possible thanks to the Grant PIE13/0004 co-funded by the ISCIII and FEDER funds; Stephanie C. Casey was supported by NIH Grant F32CA177139; Mrinmay Chakrabarti was supported by the United Soybean Board; Rupesh Chaturvedi was supported by an NIH NCCAM Grant (K01AT007324); Georgia Zhuo Chen was supported by an NIH NCI Grant (R33 CA161873-02); Helen Chen acknowledges financial support from the Michael Cuccione Childhood Cancer Foundation Graduate Studentship; Sophie Chen acknowledges financial support from the Ovarian and Prostate Cancer Research Trust, UK; Yi Charlie Chen acknowledges financial support from the West Virginia Higher Education Policy Commission/Division of Science Research, his research was also supported by NIH grants (P20RR016477 and P20GM103434) from the National Institutes of Health awarded to the West Virginia IDeA Network of Biomedical Research Excellence; Maria Rosa Ciriolo was partially supported by the Italian Association for Cancer Research (AIRC) Grants #IG10636 and #15403; Helen M. Coley acknowledges financial support from the GRACE Charity, UK and the Breast Cancer Campaign, UK; Marisa Connell was supported by a Michael Cuccione Childhood Cancer Foundation Postdoctoral Fellowship; Sarah Crawford was supported by a research grant from Connecticut State University; Charlotta Dabrosin acknowledges financial support from the Swedish Research Council and the Swedish Research Society; Giovanna Damia gratefully acknowledges the generous contributions of The Italian Association for Cancer Research (IG14536 to G.D.), Santanu Dasgupta gratefully acknowledges the support of the University of Texas Health Science Centre at Tyler, Elsa U. Pardee Foundation; William K. Decker was supported in part by CPRIT, the Cancer Prevention and Research Institute of Texas; Anna Mae E. Diehl was supported by NIH National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the NIH National Institute on Alcohol Abuse and Alcoholism (NIAAA), Gilead and Shire Pharmaceuticals; Q. Ping Dou was partially supported by NIH/NCI (1R01CA20009, 5R01CA127258-05 and R21CA184788), and NIH P30 CA22453 (to Karmanos Cancer Institute); Janice E. Drew was supported by the Scottish Government's Rural and Environment Science and Analytical Services Division; Eyad Elkord thanks the National Research Foundation, United Arab Emirates University and the Terry Fox Foundation for supporting research projects in his lab; Bassel El-Rayes was supported by Novartis Pharmaceutical, Aveo Pharmaceutical, Roche, Bristol Myers Squibb, Bayer Pharmaceutical, Pfizer, and Kyowa Kirin; Mark A. Feitelson was supported by NIH/NIAID Grant AI076535, Dean W. Felsher was supported by NIH grants (R01CA170378, U54CA149145, and U54CA143907); Lynnette R Ferguson was financially supported by the Auckland Cancer Society and the Cancer Society of New Zealand; Gary L. Firestone was supported by NIH Public Service Grant CA164095 awarded from the National Cancer Institute; Christian Frezza “would like to acknowledge funding from a Medical Research Council CCU-Program Grant on cancer metabolism, and a unique applicant AICR project grant”; Mark M. Fuster was supported by NIH Grant R01-HL107652; Alexandros G. Georgakilas was supported by an EU Marie Curie Reintegration Grant MC-CIG-303514, Greek National funds through the Operational Program ‘Educational and Lifelong Learning of the National Strategic Reference Framework (NSRF)-Research Funding Program THALES (Grant number MIS 379346) and COST Action CM1201 ‘Biomimetic Radical Chemistry’; Michelle F. Green was supported by a Duke University Molecular Cancer Biology T32 Training Grant; Brendan Grue was supported by a National Sciences Engineering and Research Council Undergraduate Student Research Award in Canada; Dorota Halicka was supported by by NIH NCI grant NCI RO1 28704; Petr Heneberg was supported by the Charles University in Prague projects UNCE 204015 and PRVOUK P31/2012, by the Czech Science Foundation projects 15-03834Y and P301/12/1686, by the Czech Health Research Council AZV project 15-32432A, and by the Internal Grant Agency of the Ministry of Health of the Czech Republic project NT13663-3/2012; Matthew D. Hirschey wishes to acknowledge Duke University Institutional Support, the Duke Pepper Older Americans Independence Center (OAIC) Program in Aging Research supported by the National Institute of Aging (P30AG028716-01) and NIH/NCI training grants to Duke University (T32-CA059365-19 and 5T32-CA059365), Lorne J. Hofseth was supported by NIH grants (1R01CA151304, 1R03CA1711326, and 1P01AT003961); Kanya Honoki was supported in part by the grant from the Ministry of Education, Culture, Sports, Science and Technology, Japan (No. 24590493); Hsue-Yin Hsu was supported in part by grants from the Ministry of Health and Welfare (CCMP101-RD-031 and CCMP102-RD-112) and Tzu-Chi University (61040055-10) of Taiwan; Lasse D. Jensen was supported by Svenska Sallskapet for Medicinsk Forskning, Gosta Fraenkels Stiftelse, Ak.e Wibergs Stiftelse, Ollie och Elof Ericssons Stiftelse, Linkopings Universitet and the Karolinska Institute, Sweden; Wen G. Jiang wishes to acknowledge the support by Cancer Research Wales, the Albert Hung Foundation, the Fong Family Foundation, and Welsh Government A4B scheme; Lee W. Jones was supported in part by grants from the NIH NCI; W Nicol Keith was supported by the University of Glasgow, Beatson Oncology Centre Fund, CRUK (www.cancerresearchuk.org) Grant C301/A14762; Sid P. Kerkar was supported by the NIH Intramural Research Program; Rob J. Kulathinal was supported by the National Science Foundation, and the American Cancer Society; Byoung S. Kwon was supported in part by National Cancer Center (NCC-1310430-2) and National Research Foundation (NRF-2005-0093837); Anne Le was supported by Sol Goldman Pancreatic Cancer Research Fund Grant 80028595, a Lustgarten Fund Grant 90049125 and Grant NIHR21CA169757 (to Anne Le); Michael A. Lea was funded by the The Alma Toorock Memorial for Cancer Research; Ho-Young Lee., This work was supported by grants from the National Research Foundation of Korea (NRF), the Ministry of Science, ICT & Future Planning (MSIP), Republic of Korea (Nos. 2011-0017639 and 2011-0030001) and by a NIH Grant R01 CA100816; Liang-Tzung Lin was supported in part by a grant from the Ministry of Education of Taiwan (TMUTOP103005-4); Jason W. Locasale acknowledges support from NIH awards (CA168997 and AI110613) and the International Life Sciences Institute; Bal L. Lokeshwar was supported in part by United States’ Public Health Services Grants: NIH R01CA156776 and VA-BLR&D Merit Review Grant No. 5I01-BX001517-02; Valter D. Longo acknowledges support from NIH awards (P01AG034906 and R01AG020642) and from the V Foundation; Costas A. Lyssiotis was funded in part by the Pancreatic Cancer Action Network as a Pathway to Leadership Fellow and through a Dale F. Frey Breakthrough award from the Damon Runyon Cancer Research Foundation; Karen L. MacKenzie wishes to acknowledge the support from the Children's Cancer Institute Australia (affiliated with the University of New South Wales, Australia and the Sydney Children's Hospital Network); Maria Marino was supported by grant from University Roma Tre to M.M. (CLA 2013) and by the Italian Association for Cancer Research (AIRC-Grant #IG15221), Ander Matheu is funded by Carlos III Health Institute (AM: CP10/00539), Basque Foundation for Science (IKERBASQUE) and Marie Curie CIG Grant (AM: 2012/712404); Christopher Maxwell was supported by funding from the Canadian Institutes of Health Research, in partnership with the Avon Foundation for Women (OBC-134038) and the Canadian Institutes of Health Research New Investigator Salary Award (MSH-136647); Eoin McDonnell received Duke University Institutional Support; Kapil Mehta was supported by Bayer Healthcare System G4T (Grants4Targets); Gregory A. Michelotti received support from NIH NIDDK, NIH NIAAA, and Shire Pharmaceuticals; Vinayak Muralidhar was supported by the Harvard-MIT Health Sciences and Technology Research Assistantship Award; Elena Niccolai was supported by the Italian Ministry of University and the University of Italy; Virginia R. Parslow gratefully acknowledges the financial support of the Auckland Cancer Society Research Centre (ACSRC); Graham Pawelec was supported by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) Grant number 16SV5536K, and by the European Commission (FP7 259679 “IDEAL”); Peter L. Pedersen was supported by NIH Grant CA-10951; Brad Poore was supported by Sol Goldman Pancreatic Cancer Research Fund Grant 80028595, the Lustgarten Fund Grant 90049125, and Grant NIHR21CA169757 (to Anne Le); Satya Prakash was supported by a Canadian Institutes of Health Research Grant (MOP 64308); Lizzia Raffaghello was supported by an NIH Grant (P01AG034906-01A1) and Cinque per Mille dell’IRPEF–Finanziamento della Ricerca Sanitaria; Jeffrey C. Rathmell was supported by an NIH Grant (R01HL108006); Swapan K. Ray was supported by the United Soybean Board; Domenico Ribatti received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under Grant agreement n°278570; Luigi Ricciardiello was supported by the AIRC Investigator Grants 10216 and 13837, and the European Community's Seventh Framework Program FP7/2007–2013 under Grant agreement 311876; Francis Rodier acknowledges the support of the Canadian Institute for Health Research (FR: MOP114962, MOP125857), Fonds de Recherche Québec Santé (FR: 22624), and the Terry Fox Research Institute (FR: 1030), Gian Luigi Russo contributed to this effort while participating in the Fulbright Research Scholar Program 2013–14; Isidro Sanchez-Garcia is partially supported by FEDER and by MICINN (SAF2012-32810), by NIH Grant (R01 CA109335-04A1), by Junta de Castilla y León (BIO/SA06/13) and by the ARIMMORA project (FP7-ENV-2011, European Union Seventh Framework Program). Isidro Sanchez-Garcia's lab is also a member of the EuroSyStem and the DECIDE Network funded by the European Union under the FP7 program; Andrew J. Sanders wishes to acknowledge the support by Cancer Research Wales, the Albert Hung Foundation, the Fong Family Foundation, and Welsh Government A4B scheme; Neeraj K. Saxena was supported by grant funding from NIH NIDDK (K01DK077137, R03DK089130); Dipali Sharma was partially funded by NIH NCI grants (R01CA131294, R21 CA155686), the Avon Foundation and a Breast Cancer Research Foundation Grant (90047965); Markus David Siegelin received funding from National Institute of Health, NINDS Grant K08NS083732, and the 2013 AACR-National Brain Tumor Society Career Development Award for Translational Brain Tumor Research, Grant Number 13-20-23-SIEG; Neetu Singh was supported by funds from the Department of Science and Technology (SR/FT/LS-063/2008), New Delhi, India; Carl Smythe was supported by Yorkshire Cancer Research and The Wellcome Trust, UK; Carmela Spagnuolo was supported by funding from Project C.I.S.I.A., act n. 191/2009 from the Italian Ministry of Economy and Finance Project CAMPUS-QUARC, within program FESR Campania Region 2007/2013, objectives 2.1, 2.2; Diana M. Stafforini was supported by grants from the National Cancer Institute (5P01CA073992), IDEA Award W81XWH-12-1-0515 from the Department of Defense, and by the Huntsman Cancer Foundation; John Stagg was supported by the Canadian Institutes of Health Research; Pochi R. Subbarayan was supported by the University of Miami Clinical and Translational Science Institute (CTSI) Pilot Research Grant (CTSI-2013-P03) and SEEDS You Choose Awards; Phuoc T. Tran was funded by the DoD (W81XWH-11-1-0272 and W81XWH-13-1-0182), a Kimmel Translational Science Award (SKF-13-021), an ACS Scholar award (122688-RSG-12-196-01-TBG) and the NIH (R01CA166348); Kathryn E. Wellen receives funding from the National Cancer Institute, Pancreatic Cancer Action Network, Pew Charitable Trusts, American Diabetes Association, and Elsa U. Pardee Foundation; Huanjie Yang was partially supported by the Scientific Research Foundation for the Returned Oversea Scholars, State Education Ministry and Scientific and Technological Innovation Project, Harbin (2012RFLXS011), Paul Yaswen was supported by funding from the United States National Institutes of Health (ES019458) and the California Breast Cancer Research Program (17UB-8708); Clement Yedjou was supported by a grant from the National Institutes of Health (Grant # G1200MD007581), through the RCMI-Center for Environmental Health; Xin Yin was supported by NIH/National Heart, Lung, and Blood Institute Training Grant T32HL098062.; Jiyue Zhu was supported by NIH Grant R01GM071725; Massimo Zollo was supported by the European FP7-TuMIC HEALTH-F2-2008-201662, the Italian Association for Cancer research (AIRC) Grant IG # 11963 and the Regione Campania L.R:N.5, the European National Funds PON01-02388/1 2007-2013.
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- 2015
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9. Single-cell RNA-sequencing identifies unique cell-specific gene expression profiles in high-grade cardiac allograft vasculopathy.
- Author
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Amancherla K, Schlendorf KH, Chow N, Sheng Q, Freedman JE, and Rathmell JC
- Abstract
Background: Cardiac allograft vasculopathy (CAV) is the leading cause of late graft failure and mortality after heart transplantation (HT). Current strategies for early diagnosis and effective treatment of CAV are lacking. Using single-cell RNA-sequencing in peripheral blood mononuclear cells (PBMCs), we sought to investigate cell-specific gene expression profiles and T cell receptor repertoires in CAV that may inform novel biomarkers and pathways to interrupt CAV pathogenesis., Methods: Whole blood was collected from 22 HT recipients with angiographically-confirmed CAV and 18 HT recipients without CAV. PBMCs were isolated and subjected to single-cell RNA-sequencing using a 10X Genomics microfluidic platform. Downstream analyses focused on differential expression of genes, cell compositional changes, and T cell receptor repertoire analyses., Results: Across 40 PBMC samples, we isolated 134,984 cells spanning 31 cell types. Compositional analyses showed subtle, but significant increases in CD4+ T central memory cells, and CD14+ and CD16+ monocytes in high-grade CAV (CAV-2 and CAV-3). 745 genes were differentially expressed in a cell-specific manner in high-grade CAV, enriched for putative pathways involved in inflammation and angiogenesis. Intersection with the druggable genome prioritized 68 targets, including targets with approved drugs in cardiovascular disease (e.g., canakinumab). There were no significant differences in T cell clonality or diversity with increasing CAV severity., Conclusions: Unbiased whole transcriptomic analyses at single-cell resolution identify unique, cell-specific gene expression patterns in CAV, suggesting the potential utility of peripheral gene expression biomarkers in diagnosing CAV. Furthermore, precision targeting of these pathways may offer opportunities to mitigate CAV pathogenesis., (Copyright © 2024 International Society for the Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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10. Temporal recording of mammalian development and precancer.
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Islam M, Yang Y, Simmons AJ, Shah VM, Musale KP, Xu Y, Tasneem N, Chen Z, Trinh LT, Molina P, Ramirez-Solano MA, Sadien ID, Dou J, Rolong A, Chen K, Magnuson MA, Rathmell JC, Macara IG, Winton DJ, Liu Q, Zafar H, Kalhor R, Church GM, Shrubsole MJ, Coffey RJ, and Lau KS
- Subjects
- Animals, Female, Humans, Male, Mice, Adenoma pathology, Adenoma genetics, Carcinogenesis genetics, Carcinogenesis pathology, Clone Cells cytology, Clone Cells metabolism, Clone Cells pathology, Colonic Neoplasms genetics, Colonic Neoplasms pathology, CRISPR-Cas Systems genetics, Organ Specificity, Time Factors, Multiomics, Polyps genetics, Polyps pathology, Cell Lineage genetics, Embryonic Development genetics, Precancerous Conditions pathology, Precancerous Conditions genetics, Single-Cell Analysis methods
- Abstract
Temporal ordering of cellular events offers fundamental insights into biological phenomena. Although this is traditionally achieved through continuous direct observations
1,2 , an alternative solution leverages irreversible genetic changes, such as naturally occurring mutations, to create indelible marks that enables retrospective temporal ordering3-5 . Using a multipurpose, single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo, with incorporation of cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during mouse embryonic development, unconventional developmental relationships between cell types and new epithelial progenitor states by their unique genetic histories. Analysis of mouse adenomas, coupled to multiomic and single-cell profiling of human precancers, with clonal analysis of 418 human polyps, demonstrated the occurrence of polyclonal initiation in 15-30% of colonic precancers, showing their origins from multiple normal founders. Our study presents a multimodal framework that lays the foundation for in vivo recording, integrating synthetic or natural indelible genetic changes with single-cell analyses, to explore the origins and timing of development and tumorigenesis in mammalian systems., (© 2024. The Author(s).)- Published
- 2024
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11. Androgen signaling restricts glutaminolysis to drive sex-specific Th17 metabolism in allergic airway inflammation.
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Chowdhury NU, Cephus JY, Henriquez Pilier E, Wolf MM, Madden MZ, Kuehnle SN, McKernan KE, Jennings EQ, Arner EN, Heintzman DR, Chi C, Sugiura A, Stier MT, Voss K, Ye X, Scales KL, Krystofiak ES, Gandhi VD, Guzy RD, Cahill KN, Sperling AI, Peebles RS Jr, Rathmell JC, and Newcomb DC
- Abstract
Females have an increased prevalence of many Th17 cell-mediated diseases, including asthma. Androgen signaling decreases Th17 cell-mediated airway inflammation, and Th17 cells rely on glutaminolysis. However, it remains unclear whether androgen receptor (AR) signaling modifies glutamine metabolism to suppress Th17 cell-mediated airway inflammation. We show that Th17 cells from male humans and mice had decreased glutaminolysis compared to females, and that AR signaling attenuated Th17 cell mitochondrial respiration and glutaminolysis in mice. Using allergen-induced airway inflammation mouse models, we determined females had a selective reliance upon glutaminolysis for Th17-mediated airway inflammation, and AR signaling attenuated glutamine uptake in CD4+ T cells by reducing expression of glutamine transporters. Minimal reliance on glutamine uptake in male Th17 cells compared to female Th17 cells was also found in circulating T cells from patients with asthma. AR signaling thus attenuates glutaminolysis, demonstrating sex-specific metabolic regulation of Th17 cells with implications for Th17 or glutaminolysis targeted therapeutics.
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- 2024
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12. Trem2 deficiency attenuates breast cancer tumor growth in lean, but not obese or weight loss, mice and is associated with alterations of clonal T cell populations.
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Pierro EW, Cottam MA, An H, Lehmann BD, Pietenpol JA, Wellen KE, Makowski L, Rathmell JC, Fingleton B, and Hasty AH
- Abstract
Obesity is an established risk factor for breast cancer development and worsened prognosis; however, the mechanisms for this association - and the potential benefits of weight loss - have not been fully explored. The adipose environment surrounding breast tumors, which is inflamed in obesity, has been implicated in tumor progression. An emerging therapeutic target for cancer is TREM2, a transmembrane receptor of the immunoglobulin superfamily that is expressed on macrophages in adipose tissue and tumors. We utilized genetic loss of function ( Trem2
+,+ and Trem2-/- ) models and dietary (lean, obese, and weight loss) intervention approaches to examine impacts on postmenopausal breast cancer. Remarkably, Trem2 deficiency ameliorated tumor growth in lean, but not obese or weight loss mice. Single-cell RNA sequencing, in conjunction with VDJ sequencing of tumor and tumor-adjacent mammary adipose tissue (mATTum-adj ) immune cells, revealed that tumors of lean Trem2-/- mice exhibited a shift in clonal CD8+ T cells from an exhausted to an effector memory state, accompanied with increased clonality of CD4+ Th1 cells, that was not observed in any other diet-genotype group. Notably, identical T cell clonotypes were identified in the tumor and mATTum-adj of the same mouse. Finally, an immune checkpoint study demonstrated that αPD-1 therapy restricted tumor growth in lean and weight loss, but not obese mice. We conclude that weight history is relevant when considering potential efficacy of TREM2 inhibition in postmenopausal breast cancer. This work reveals immunological interactions between tumors and surrounding adipose tissue, highlighting significant differences under obese and weight loss conditions., Competing Interests: Conflict of interest disclosure statement: JCR is a founder and consultant for Sitryx Therapeutics.- Published
- 2024
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13. Subset-specific mitochondrial stress and DNA damage shape T cell responses to fever and inflammation.
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Heintzman DR, Sinard RC, Fisher EL, Ye X, Patterson AR, Elasy JH, Voss K, Chi C, Sugiura A, Rodriguez-Garcia GJ, Chowdhury NU, Arner EN, Krystoviak ES, Mason FM, Toudji YT, Steiner KK, Khan W, Olson LM, Jones AL, Hong HS, Bass L, Beier KL, Deng W, Lyssiotis CA, Newcomb DC, Bick AG, Rathmell WK, Wilson JT, and Rathmell JC
- Subjects
- Animals, Mice, Humans, Mice, Inbred C57BL, Th1 Cells immunology, Female, Male, DNA Damage immunology, Inflammation immunology, Fever immunology, Mitochondria immunology
- Abstract
Heat is a cardinal feature of inflammation, yet its impacts on immune cells remain uncertain. We show that moderate-grade fever temperatures (39°C) increased murine CD4 T cell metabolism, proliferation, and inflammatory effector activity while decreasing regulatory T cell suppressive capacity. However, heat-exposed T helper 1 (T
H 1) cells selectively developed mitochondrial stress and DNA damage that activated Trp53 and stimulator of interferon genes pathways. Although many TH 1 cells subjected to such temperatures died, surviving TH 1 cells exhibited increased mitochondrial mass and enhanced activity. Electron transport chain complex 1 (ETC1) was rapidly impaired under fever-range temperatures, a phenomenon that was specifically detrimental to TH 1 cells. TH 1 cells with elevated DNA damage and ETC1 signatures were also detected in human chronic inflammation. Thus, fever-relevant temperatures disrupt ETC1 to selectively drive apoptosis or adaptation of TH 1 cells to maintain genomic integrity and enhance effector functions.- Published
- 2024
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14. Immunometabolic Maladaptations to the Tumor Microenvironment.
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Hathaway ES, Jennings EQ, and Rathmell JC
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- Humans, T-Lymphocytes immunology, Macrophages immunology, Macrophages metabolism, Animals, Immunotherapy, Tumor Microenvironment immunology, Neoplasms immunology, Neoplasms pathology
- Abstract
Tumors consist of cancer cells and a wide range of tissue resident and infiltrating cell types. Tumor metabolism, however, has largely been studied on whole tumors or cancer cells and the metabolism of infiltrating immune cells remains poorly understood. It is now clear from a range of analyses and metabolite rescue studies that metabolic adaptations to the tumor microenvironment (TME) directly impede T-cell and macrophage effector functions. The drivers of metabolic adaptation to the TME and metabolic immune suppression include depletion of essential nutrients, accumulation of waste products or immune suppression metabolites, and metabolic signaling through altered posttranslational modifications. Each infiltrating immune cell subset differs, however, with specific metabolic requirements and adaptations that can be maladaptive for antitumor immunity. Here, we review T-cell and macrophage adaptation and metabolic immune suppression in solid tumors. Ultimately, understanding and addressing these challenges will improve cancer immunotherapy and adoptive chimeric antigen receptor T-cell therapies., (Copyright © 2024 Cold Spring Harbor Laboratory Press; all rights reserved.)
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- 2024
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15. Cancer cell metabolism and antitumour immunity.
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De Martino M, Rathmell JC, Galluzzi L, and Vanpouille-Box C
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- Humans, Animals, Immunity, Innate immunology, Adaptive Immunity immunology, Tumor Escape immunology, Immunotherapy methods, Neoplasms immunology, Neoplasms therapy, Neoplasms metabolism, Tumor Microenvironment immunology
- Abstract
Accumulating evidence suggests that metabolic rewiring in malignant cells supports tumour progression not only by providing cancer cells with increased proliferative potential and an improved ability to adapt to adverse microenvironmental conditions but also by favouring the evasion of natural and therapy-driven antitumour immune responses. Here, we review cancer cell-intrinsic and cancer cell-extrinsic mechanisms through which alterations of metabolism in malignant cells interfere with innate and adaptive immune functions in support of accelerated disease progression. Further, we discuss the potential of targeting such alterations to enhance anticancer immunity for therapeutic purposes., (© 2024. Springer Nature Limited.)
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- 2024
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16. Functional overlap of inborn errors of immunity and metabolism genes defines T cell metabolic vulnerabilities.
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Patterson AR, Needle GA, Sugiura A, Jennings EQ, Chi C, Steiner KK, Fisher EL, Robertson GL, Bodnya C, Markle JG, Sheldon RD, Jones RG, Gama V, and Rathmell JC
- Subjects
- Animals, Humans, Mice, Mice, Inbred C57BL, T-Lymphocytes immunology, Metabolism, Inborn Errors immunology, Metabolism, Inborn Errors genetics
- Abstract
Inborn errors of metabolism (IEMs) and immunity (IEIs) are Mendelian diseases in which complex phenotypes and patient rarity have limited clinical understanding. Whereas few genes have been annotated as contributing to both IEMs and IEIs, immunometabolic demands suggested greater functional overlap. Here, CRISPR screens tested IEM genes for immunologic roles and IEI genes for metabolic effects and found considerable previously unappreciated crossover. Analysis of IEMs showed that N-linked glycosylation and the hexosamine pathway enzyme Gfpt1 are critical for T cell expansion and function. Further, T helper (T
H 1) cells synthesized uridine diphosphate N -acetylglucosamine more rapidly and were more impaired by Gfpt1 deficiency than TH 17 cells. Screening IEI genes found that Bcl11b promotes the CD4 T cell mitochondrial activity and Mcl1 expression necessary to prevent metabolic stress. Thus, a high degree of functional overlap exists between IEM and IEI genes, and immunometabolic mechanisms may underlie a previously underappreciated intersection of these disorders.- Published
- 2024
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17. Peripheral T Cell Development and Immunophenotyping of Twins with Heterozygous FOXN1 Mutations.
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Voss K, Bartkowiak T, Sewell AE, Chi C, Landis MD, Schaefer S, Pua HH, Connelly JA, Irish JM, Rathmell JC, and Kaviany S
- Subjects
- Humans, Male, Female, Lymphopenia genetics, Lymphopenia immunology, Mutation, Adult, Haploinsufficiency, T-Lymphocytes immunology, HEK293 Cells, Infant, Newborn, Thymus Gland immunology, Thymus Gland metabolism, Forkhead Transcription Factors genetics, Forkhead Transcription Factors metabolism, Immunophenotyping, Heterozygote
- Abstract
The transcription factor FOXN1 plays an established role in thymic epithelial development to mediate selection of maturing thymocytes. Patients with heterozygous loss-of-function FOXN1 variants are associated with T cell lymphopenia at birth and low TCR excision circles that can ultimately recover. Although CD4+ T cell reconstitution in these patients is not completely understood, a lower proportion of naive T cells in adults has suggested a role for homeostatic proliferation. In this study, we present an immunophenotyping study of fraternal twins with low TCR excision circles at birth. Targeted primary immunodeficiency testing revealed a heterozygous variant of uncertain significance in FOXN1 (c.1205del, p.Pro402Leufs*148). We present the immune phenotypes of these two patients, as well as their father who carries the same FOXN1 variant, to demonstrate an evolving immune environment over time. While FOXN1 haploinsufficiency may contribute to thymic defects and T cell lymphopenia, we characterized the transcriptional activity and DNA binding of the heterozygous FOXN1 variant in 293T cells and found the FOXN1 variant to have different effects across several target genes. These data suggest multiple mechanisms for similar FOXN1 variants pathogenicity that may be mutation specific. Increased understanding of how these variants drive transcriptional regulation to impact immune cell populations will guide the potential need for therapeutics, risk for infection or autoimmunity over time, and help inform clinical decisions for other variants that might arise., (Copyright © 2024 The Authors.)
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- 2024
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18. Author Correction: Cancer cell metabolism and antitumour immunity.
- Author
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De Martino M, Rathmell JC, Galluzzi L, and Vanpouille-Box C
- Published
- 2024
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19. Author Correction: Obesity induces PD-1 on macrophages to suppress anti-tumour immunity.
- Author
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Bader JE, Wolf MM, Lupica-Tondo GL, Madden MZ, Reinfeld BI, Arner EN, Hathaway ES, Steiner KK, Needle GA, Hatem Z, Landis MD, Faneuff EE, Blackman A, Wolf EM, Cottam MA, Ye X, Bates ME, Smart K, Wang W, Pinheiro LV, Christofides A, Smith D, Boussiotis VA, Haake SM, Beckermann KE, Wellen KE, Reinhart-King CA, Serezani CH, Lee CH, Aubrey C, Chen H, Rathmell WK, Hasty AH, and Rathmell JC
- Published
- 2024
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20. HIF-2α expression and metabolic signaling require ACSS2 in clear cell renal cell carcinoma.
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Bacigalupa ZA, Arner EN, Vlach LM, Wolf MM, Brown WA, Krystofiak ES, Ye X, Hongo RA, Landis M, Amason EK, Beckermann KE, Rathmell WK, and Rathmell JC
- Subjects
- Humans, Cell Line, Tumor, Animals, Mice, Von Hippel-Lindau Tumor Suppressor Protein metabolism, Von Hippel-Lindau Tumor Suppressor Protein genetics, Ubiquitin-Protein Ligases metabolism, Ubiquitin-Protein Ligases genetics, Neoplasm Proteins metabolism, Neoplasm Proteins genetics, Carcinoma, Renal Cell metabolism, Carcinoma, Renal Cell pathology, Carcinoma, Renal Cell genetics, Basic Helix-Loop-Helix Transcription Factors metabolism, Basic Helix-Loop-Helix Transcription Factors genetics, Kidney Neoplasms metabolism, Kidney Neoplasms pathology, Kidney Neoplasms genetics, Acetate-CoA Ligase metabolism, Acetate-CoA Ligase genetics, Signal Transduction, Gene Expression Regulation, Neoplastic
- Abstract
Clear cell renal cell carcinoma (ccRCC) is an aggressive cancer driven by VHL loss and aberrant HIF-2α signaling. Identifying means to regulate HIF-2α thus has potential therapeutic benefit. Acetyl-CoA synthetase 2 (ACSS2) converts acetate to acetyl-CoA and is associated with poor patient prognosis in ccRCC. Here we tested the effects of ACSS2 on HIF-2α and cancer cell metabolism and growth in ccRCC models and clinical samples. ACSS2 inhibition reduced HIF-2α levels and suppressed ccRCC cell line growth in vitro, in vivo, and in cultures of primary ccRCC patient tumors. This treatment reduced glycolytic signaling, cholesterol metabolism, and mitochondrial integrity, all of which are consistent with loss of HIF-2α. Mechanistically, ACSS2 inhibition decreased chromatin accessibility and HIF-2α expression and stability. While HIF-2α protein levels are widely regulated through pVHL-dependent proteolytic degradation, we identify a potential pVHL-independent pathway of degradation via the E3 ligase MUL1. We show that MUL1 can directly interact with HIF-2α and that overexpression of MUL1 decreased HIF-2α levels in a manner partially dependent on ACSS2. These findings identify multiple mechanisms to regulate HIF-2α stability and ACSS2 inhibition as a strategy to complement HIF-2α-targeted therapies and deplete pathogenically stabilized HIF-2α.
- Published
- 2024
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21. Cancer Cell Small Molecule Secretome Induces the Immune Checkpoint NKG2A and Dysfunction of Human CD8+ T Cells.
- Author
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Rodriguez-Garcia GJ, Graves DK, Mirza MB, Idrees K, Kim YJ, Korrer MJ, and Rathmell JC
- Subjects
- Humans, Cell Line, Tumor, Culture Media, Conditioned pharmacology, Tumor Microenvironment immunology, Lymphocyte Activation immunology, Head and Neck Neoplasms immunology, Head and Neck Neoplasms metabolism, Head and Neck Neoplasms pathology, Colorectal Neoplasms immunology, Colorectal Neoplasms metabolism, Colorectal Neoplasms pathology, CD8-Positive T-Lymphocytes immunology, CD8-Positive T-Lymphocytes metabolism, NK Cell Lectin-Like Receptor Subfamily C metabolism, NK Cell Lectin-Like Receptor Subfamily C immunology, Squamous Cell Carcinoma of Head and Neck immunology, Squamous Cell Carcinoma of Head and Neck metabolism, Squamous Cell Carcinoma of Head and Neck pathology
- Abstract
PD-1 blockade has been approved for head and neck squamous cell carcinoma (HNSCC) patients. However, many HNSCC patients do not respond to this treatment, and other tumor microenvironmental factors may promote resistance to PD-1 blockade. We previously identified increased expression of the inhibitory receptor NKG2A on CD8+ T cells in HNSCC tumors compared with T cells in matching PBMC samples. Mechanisms that promote NKG2A expression and the role of NKG2A on human T cells in the tumor microenvironment, however, are uncertain. In this study, we show that tumor-conditioned media (TCM) of HNSCC cancer cell lines or ascites fluid from colorectal carcinoma patients is sufficient to induce the expression of NKG2A and other inhibitory receptors on activated CD8+ T cells isolated from PBMCs of healthy donors. Boiling or small molecular mass cutoff filtering did not eliminate the effect of TCM, suggesting that a small molecule promotes NKG2A. T cell activation in TCM decreased the basal and maximal mitochondrial respiration to metabolically restrain CD8+ T cells. Functionally, T cell activation in TCM reduced CD8+ T cell cytotoxicity as shown by lower production of cytokines, granzyme B, and perforin. Furthermore, TCM prevented CD8+ T cells from killing cancer cells in response to an anti-CD19/anti-CD3 bispecific T cell engager. Thus, a small secreted molecule from HNSCC cells can induce NKG2A expression and promote T cell dysfunction. Our findings may lead to targets for novel cancer therapies or biomarkers for NKG2A blockade response and provide a model to study T cell dysfunction and impaired metabolism., (Copyright © 2024 The Authors.)
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- 2024
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22. Obesity induces PD-1 on macrophages to suppress anti-tumour immunity.
- Author
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Bader JE, Wolf MM, Lupica-Tondo GL, Madden MZ, Reinfeld BI, Arner EN, Hathaway ES, Steiner KK, Needle GA, Hatem Z, Landis MD, Faneuff EE, Blackman A, Wolf EM, Cottam MA, Ye X, Bates ME, Smart K, Wang W, Pinheiro LV, Christofides A, Smith D, Boussiotis VA, Haake SM, Beckermann KE, Wellen KE, Reinhart-King CA, Serezani CH, Lee CH, Aubrey C, Chen H, Rathmell WK, Hasty AH, and Rathmell JC
- Subjects
- Animals, Female, Humans, Male, Mice, Antigen Presentation drug effects, B7-2 Antigen antagonists & inhibitors, B7-2 Antigen immunology, B7-2 Antigen metabolism, CD8-Positive T-Lymphocytes immunology, CD8-Positive T-Lymphocytes metabolism, Cell Line, Tumor, Glycolysis drug effects, Histocompatibility Antigens Class I immunology, Histocompatibility Antigens Class II immunology, Immune Checkpoint Inhibitors pharmacology, Immune Checkpoint Inhibitors therapeutic use, Inflammation Mediators immunology, Inflammation Mediators metabolism, Lymphocyte Activation, Mechanistic Target of Rapamycin Complex 1 metabolism, Mechanistic Target of Rapamycin Complex 1 antagonists & inhibitors, Mice, Inbred C57BL, Phagocytosis drug effects, Neoplasms drug therapy, Neoplasms immunology, Neoplasms metabolism, Neoplasms pathology, Obesity immunology, Obesity metabolism, Programmed Cell Death 1 Receptor metabolism, Programmed Cell Death 1 Receptor antagonists & inhibitors, Tumor-Associated Macrophages immunology, Tumor-Associated Macrophages metabolism, Tumor-Associated Macrophages drug effects
- Abstract
Obesity is a leading risk factor for progression and metastasis of many cancers
1,2 , yet can in some cases enhance survival3-5 and responses to immune checkpoint blockade therapies, including anti-PD-1, which targets PD-1 (encoded by PDCD1), an inhibitory receptor expressed on immune cells6-8 . Although obesity promotes chronic inflammation, the role of the immune system in the obesity-cancer connection and immunotherapy remains unclear. It has been shown that in addition to T cells, macrophages can express PD-19-12 . Here we found that obesity selectively induced PD-1 expression on tumour-associated macrophages (TAMs). Type I inflammatory cytokines and molecules linked to obesity, including interferon-γ, tumour necrosis factor, leptin, insulin and palmitate, induced macrophage PD-1 expression in an mTORC1- and glycolysis-dependent manner. PD-1 then provided negative feedback to TAMs that suppressed glycolysis, phagocytosis and T cell stimulatory potential. Conversely, PD-1 blockade increased the level of macrophage glycolysis, which was essential for PD-1 inhibition to augment TAM expression of CD86 and major histocompatibility complex I and II molecules and ability to activate T cells. Myeloid-specific PD-1 deficiency slowed tumour growth, enhanced TAM glycolysis and antigen-presentation capability, and led to increased CD8+ T cell activity with a reduced level of markers of exhaustion. These findings show that obesity-associated metabolic signalling and inflammatory cues cause TAMs to induce PD-1 expression, which then drives a TAM-specific feedback mechanism that impairs tumour immune surveillance. This may contribute to increased cancer risk yet improved response to PD-1 immunotherapy in obesity., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)- Published
- 2024
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23. Chronic High-Salt Diet Activates Tumor-Initiating Stem Cells Leading to Breast Cancer Proliferation.
- Author
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Tucker L, Ali U, Zent R, Lannigan DA, Rathmell JC, and Tiriveedhi V
- Subjects
- Animals, Female, Mice, Cell Line, Tumor, Breast Neoplasms pathology, Breast Neoplasms metabolism, Sodium Chloride, Dietary adverse effects, Mice, Inbred C57BL, Humans, Neoplastic Stem Cells metabolism, Neoplastic Stem Cells pathology, Cell Proliferation drug effects, Mice, Inbred BALB C
- Abstract
Several chronic inflammatory diseases have been linked to high-salt (HS) diets. Chronic inflammation is an established causative hallmark of cancer. However, a direct role of HS diets in tumorigenesis is yet to be defined. Previous orthotopic murine breast tumor studies have shown that short-term HS diets caused inhibition of tumor growth through the activation of cytotoxic adaptive immune responses. However, there have been experimental challenges in developing a viable chronic HS-diet-based murine tumor model. To address this, we have developed a novel chronic HS diet tumor model through the sequential passaging of tumor cells in mice under HS dietary conditions. Two orthotopic murine triple-negative breast cancer models, 4T1 tumor cells injected into BALB/c mice and Py230 tumor cells injected into C57Bl/6 mice, were utilized in our study. For the HS diet cohort, prior to orthotopic injection with tumor cells, the mice were kept on a 4% NaCl diet for 2 weeks. For the regular salt (RS) diet cohort, the mice were kept on a 1% NaCl diet. Following syngeneic cancer cell injection, tumors were allowed to grow for 28 days, following which they were collected to isolate immune cell-depleted cancer cells (passage 1, P1). The tumor cells from P1 were reinjected into the next set of non-tumor-bearing mice. This procedure was repeated for three cycles (P2-P4). In P1, compared to the RS diet cohort, we observed reduced tumor kinetics in both murine tumor models on the HS diet. In contrast, by P4, there was significantly higher tumor progression in the HS diet cohort over the RS diet cohort. Flow cytometry analysis demonstrated an 8-fold increase in tumor-initiating stem cells (TISCs) from P1 to P4 of the HS diet cohort, while there were no significant change in TISC frequency with sequential passaging in the RS diet cohort. Molecular studies showed enhanced expression of TGFβR2 and CD80 on TISCs isolated from the P4 HS diet cohort. In vitro studies demonstrated that TGFβ stimulation of these TISCs increased the cellular expression of CD80 molecules. Further, the chronic HS diet selectively induced the glycolytic metabolic phenotype over the mitochondrial oxidative phosphorylation phenotype in TISCs, which is needed for the production of metabolites during tumor cell differentiation and proliferation. The infiltrating CD8 and CD4 T-lymphocytes in P4 tumors demonstrated increased expression of the immune checkpoint inhibitor (ICI) CTLA4, a known binding partner of CD80, to cause immune exhaustion and pro-tumorigenic effects. Interestingly, anti-TGFβ monoclonal antibodies (mAbs) played a synergistic role in further enhancing the anti-tumor effect of anti-CTLA4 mAb. In summary, our findings demonstrated that chronic HS diet increased the frequency of TISCs in tumors leading to blunting of cytotoxic adaptive immune responses causing tumor proliferation. Furthermore, a combination of anti-TGFβ with current ICI-based immunotherapies could exert more favorable anti-cancer clinical outcomes.
- Published
- 2024
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24. Molecular and clinical characterization of a founder mutation causing G6PC3 deficiency.
- Author
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Zhen X, Betti MJ, Kars ME, Patterson A, Medina-Torres EA, Scheffler Mendoza SC, Herrera Sánchez DA, Lopez-Herrera G, Svyryd Y, Mutchinick OM, Gamazon E, Rathmell JC, Itan Y, Markle J, O'Farrill Romanillos P, Lugo-Reyes SO, and Martinez-Barricarte R
- Abstract
Background: G6PC3 deficiency is a rare genetic disorder that causes syndromic congenital neutropenia. It is driven by the intracellular accumulation of a metabolite named 1,5-anhydroglucitol-6-phosphate (1,5-AG6P) that inhibits glycolysis. Patients display heterogeneous extra-hematological manifestations, contributing to delayed diagnosis., Objective: The G6PC3 c.210delC variant has been identified in patients of Mexican origin. We set out to study the origin and functional consequence of this mutation. Furthermore, we sought to characterize the clinical phenotypes caused by it., Methods: Using whole-genome sequencing data, we conducted haplotype analysis to estimate the age of this allele and traced its ancestral origin. We examined how this mutation affected G6PC3 protein expression and performed extracellular flux assays on patient-derived cells to characterize how this mutation impacts glycolysis. Finally, we compared the clinical presentations of patients with the c.210delC mutation relative to other G6PC3 deficient patients published to date., Results: Based on the length of haplotypes shared amongst ten carriers of the G6PC3 c.210delC mutation, we estimated that this variant originated in a common ancestor of indigenous American origin. The mutation causes a frameshift that introduces a premature stop codon, leading to a complete loss of G6PC3 protein expression. When treated with 1,5-anhydroglucitol (1,5-AG), the precursor to 1,5-AG6P, patient-derived cells exhibited markedly reduced engagement of glycolysis. Clinically, c.210delC carriers display all the clinical features of syndromic severe congenital neutropenia type 4 observed in prior reports of G6PC3 deficiency., Conclusion: The G6PC3 c.210delC is a loss-of-function mutation that arose from a founder effect in the indigenous Mexican population. These findings may facilitate the diagnosis of additional patients in this geographical area. Moreover, the in vitro 1,5-AG-dependent functional assay used in our study could be employed to assess the pathogenicity of additional G6PC3 variants.
- Published
- 2024
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25. Velociraptor: Cross-Platform Quantitative Search Using Hallmark Cell Features.
- Author
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Cross CE, Mayeda C, Medina S, Hayes MJ, Kaviany S, Connelly JA, Rathmell JC, Weaver KD, Thompson RC, Chambless LB, Ihrie RA, and Irish JM
- Abstract
A key challenge for single cell discovery analysis is to identify new cell types, describe them quantitatively, and seek these novel cells in new studies often using a different platform. Over the last decade, tools were developed to address identification and quantitative description of cells in human tissues and tumors. However, automated validation of populations at the single cell level has struggled due to the cytometry field's reliance on hierarchical, ordered use of features and on platform-specific rules for data processing and analysis. Here we present Velociraptor, a workflow that implements Marker Enrichment Modeling in three cross-platform modules: 1) identification of cells specific to disease states, 2) description of hallmark features for each cell and population, and 3) searching for cells matching one or more hallmark feature sets in a new dataset. A key advance is that Velociraptor registers cells between datasets, including between flow cytometry and quantitative imaging using different, overlapping feature sets. Four datasets were used to challenge Velociraptor and reveal new biological insights. Working at the individual sample level, Velociraptor tracked the abundance of clinically significant glioblastoma brain tumor cell subsets and characterized the cells that predominate in recurrent tumors as a close match for rare, negative prognostic cells originally observed in matched pre-treatment tumors. In patients with inborn errors of immunity, Velociraptor identified genotype-specific cells associated with GATA2 haploinsufficiency. Finally, in cross-platform analysis of immune cells in multiplex imaging of breast cancer, Velociraptor sought and correctly identified memory T cell subsets in tumors. Different phenotypic descriptions generated by algorithms or humans were shown to be effective as search inputs, indicating that cell identity need not be described in terms of per-feature cutoffs or strict hierarchical analyses. Velociraptor thus identifies cells based on hallmark feature sets, such as protein expression signatures, and works effectively with data from multiple sources, including suspension flow cytometry, imaging, and search text based on known or theoretical cell features.
- Published
- 2024
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26. VHL loss reprograms the immune landscape to promote an inflammatory myeloid microenvironment in renal tumorigenesis.
- Author
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Wolf MM, Madden MZ, Arner EN, Bader JE, Ye X, Vlach L, Tigue ML, Landis MD, Jonker PB, Hatem Z, Steiner KK, Gaines DK, Reinfeld BI, Hathaway ES, Xin F, Tantawy MN, Haake SM, Jonasch E, Muir A, Weiss VL, Beckermann KE, Rathmell WK, and Rathmell JC
- Subjects
- Animals, Humans, Mice, Carcinogenesis genetics, Cell Transformation, Neoplastic, Kidney, Tumor Microenvironment, Von Hippel-Lindau Tumor Suppressor Protein genetics, Carcinoma, Renal Cell genetics, Kidney Neoplasms genetics
- Abstract
Clear cell renal cell carcinoma (ccRCC) is characterized by dysregulated hypoxia signaling and a tumor microenvironment (TME) highly enriched in myeloid and lymphoid cells. Loss of the von Hippel Lindau (VHL) gene is a critical early event in ccRCC pathogenesis and promotes stabilization of HIF. Whether VHL loss in cancer cells affects immune cells in the TME remains unclear. Using Vhl WT and Vhl-KO in vivo murine kidney cancer Renca models, we found that Vhl-KO tumors were more infiltrated by immune cells. Tumor-associated macrophages (TAMs) from Vhl-deficient tumors demonstrated enhanced in vivo glucose consumption, phagocytosis, and inflammatory transcriptional signatures, whereas lymphocytes from Vhl-KO tumors showed reduced activation and a lower response to anti-programmed cell death 1 (anti-PD-1) therapy in vivo. The chemokine CX3CL1 was highly expressed in human ccRCC tumors and was associated with Vhl deficiency. Deletion of Cx3cl1 in cancer cells decreased myeloid cell infiltration associated with Vhl loss to provide a mechanism by which Vhl loss may have contributed to the altered immune landscape. Here, we identify cancer cell-specific genetic features that drove environmental reprogramming and shaped the tumor immune landscape, with therapeutic implications for the treatment of ccRCC.
- Published
- 2024
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27. Metabolite profiling of human renal cell carcinoma reveals tissue-origin dominance in nutrient availability.
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Abbott KL, Ali A, Reinfeld BI, Deik A, Subudhi S, Landis MD, Hongo RA, Young KL, Kunchok T, Nabel CS, Crowder KD, Kent JR, Madariaga MLL, Jain RK, Beckermann KE, Lewis CA, Clish CB, Muir A, Rathmell WK, Rathmell JC, and Vander Heiden MG
- Abstract
The tumor microenvironment is a determinant of cancer progression and therapeutic efficacy, with nutrient availability playing an important role. Although it is established that the local abundance of specific nutrients defines the metabolic parameters for tumor growth, the factors guiding nutrient availability in tumor compared to normal tissue and blood remain poorly understood. To define these factors in renal cell carcinoma (RCC), we performed quantitative metabolomic and comprehensive lipidomic analyses of tumor interstitial fluid (TIF), adjacent normal kidney interstitial fluid (KIF), and plasma samples collected from patients. TIF nutrient composition closely resembles KIF, suggesting that tissue-specific factors unrelated to the presence of cancer exert a stronger influence on nutrient levels than tumor-driven alterations. Notably, select metabolite changes consistent with known features of RCC metabolism are found in RCC TIF, while glucose levels in TIF are not depleted to levels that are lower than those found in KIF. These findings inform tissue nutrient dynamics in RCC, highlighting a dominant role of non-cancer driven tissue factors in shaping nutrient availability in these tumors., Competing Interests: DECLARATION OF INTERESTS C.S.N. declares royalty income from Cambridge Epigenetix and ThermoFisher (formerly Life Techologies) and stock ownership in Opko Health. R.K.J. received consultant/SAB fees from Cur, DynamiCure, Elpis, SPARC, SynDevRx; owns equity in Accurius, Enlight, SynDevRx; served on the Board of Trustees of Tekla Healthcare Investors, Tekla Life Sciences Investors, Tekla Healthcare Opportunities Fund, Tekla World Healthcare Fund, and received Research Grants from Boehringer Ingelheim and Sanofi; no funding or reagents from these organizations were used in the study. M.G.V.H. discloses that he is a scientific advisor for Agios Pharmaceuticals, iTeos Therapeutics, Sage Therapeutics, Pretzel Therapeutics, Lime Therapeutics, Faeth Therapeutics, Droia Ventures, and Auron Therapeutics. All remaining authors declare no competing interests.
- Published
- 2024
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28. Lactate Utilization Enables Metabolic Escape to Confer Resistance to BET Inhibition in Acute Myeloid Leukemia.
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Monteith AJ, Ramsey HE, Silver AJ, Brown D, Greenwood D, Smith BN, Wise AD, Liu J, Olmstead SD, Watke J, Arrate MP, Gorska AE, Fuller L, Locasale JW, Stubbs MC, Rathmell JC, and Savona MR
- Subjects
- Humans, Animals, Mice, Transcription Factors metabolism, Lactic Acid, Cell Line, Tumor, Lactate Dehydrogenases, Bromodomain Containing Proteins, Cell Cycle Proteins, Nuclear Proteins metabolism, Leukemia, Myeloid, Acute drug therapy, Leukemia, Myeloid, Acute metabolism
- Abstract
Impairing the BET family coactivator BRD4 with small-molecule inhibitors (BETi) showed encouraging preclinical activity in treating acute myeloid leukemia (AML). However, dose-limiting toxicities and limited clinical activity dampened the enthusiasm for BETi as a single agent. BETi resistance in AML myeloblasts was found to correlate with maintaining mitochondrial respiration, suggesting that identifying the metabolic pathway sustaining mitochondrial integrity could help develop approaches to improve BETi efficacy. Herein, we demonstrated that mitochondria-associated lactate dehydrogenase allows AML myeloblasts to utilize lactate as a metabolic bypass to fuel mitochondrial respiration and maintain cellular viability. Pharmacologically and genetically impairing lactate utilization rendered resistant myeloblasts susceptible to BET inhibition. Low-dose combinations of BETi and oxamate, a lactate dehydrogenase inhibitor, reduced in vivo expansion of BETi-resistant AML in cell line and patient-derived murine models. These results elucidate how AML myeloblasts metabolically adapt to BETi by consuming lactate and demonstrate that combining BETi with inhibitors of lactate utilization may be useful in AML treatment., Significance: Lactate utilization allows AML myeloblasts to maintain metabolic integrity and circumvent antileukemic therapy, which supports testing of lactate utilization inhibitors in clinical settings to overcome BET inhibitor resistance in AML. See related commentary by Boët and Sarry, p. 950., (©2024 American Association for Cancer Research.)
- Published
- 2024
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29. Nutrient inputs and social metabolic control of T cell fate.
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Bacigalupa ZA, Landis MD, and Rathmell JC
- Subjects
- Cell Differentiation, Signal Transduction, Nutrients, T-Lymphocytes, Chromatin metabolism
- Abstract
Cells in multicellular organisms experience diverse neighbors, signals, and evolving physical environments that drive functional and metabolic demands. To maintain proper development and homeostasis while avoiding inappropriate cell proliferation or death, individual cells interact with their neighbors via "social" cues to share and partition available nutrients. Metabolic signals also contribute to cell fate by providing biochemical links between cell-extrinsic signals and available resources. In addition to metabolic checkpoints that sense nutrients and directly supply molecular intermediates for biosynthetic pathways, many metabolites directly signal or provide the basis for post-translational modifications of target proteins and chromatin. In this review, we survey the landscape of T cell nutrient sensing and metabolic signaling that supports proper immunity while avoiding immunodeficiency or autoimmunity. The integration of cell-extrinsic microenvironmental cues with cell-intrinsic metabolic signaling provides a social metabolic control model to integrate cell signaling, metabolism, and fate., Competing Interests: Declaration of interests J.C.R. consults as a scientific advisory board member of Sitryx Therapeutics., (Copyright © 2023 Elsevier Inc. All rights reserved.)
- Published
- 2024
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30. Plasma Cell Differentiation, Antibody Quality, and Initial Germinal Center B Cell Population Depend on Glucose Influx Rate.
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Brookens SK, Cho SH, Paik Y, Meyer K, Raybuck AL, Park C, Greenwood DL, Rathmell JC, and Boothby MR
- Subjects
- Mice, Animals, Reactive Oxygen Species, Antibodies, Cell Differentiation, Glucose metabolism, Germinal Center
- Abstract
Serum Ab concentrations, selection for higher affinity BCRs, and generation of higher Ab affinities are important elements of immune response optimization and functions of germinal center (GC) reactions. B cell proliferation requires nutrients to support the anabolism inherent in clonal expansion. Glucose usage by mouse GC B cells has been reported to contribute little to their energy needs, with questions raised as to whether glucose uptake or glycolysis increases in GC B cells compared with their naive precursors. Indeed, metabolism can be highly flexible, such that supply shortage along one pathway may be compensated by increased flux on others. We now show that reduction of the glucose transporter GLUT1 in mice after establishment of a preimmune B cell repertoire, even after initiation of the GC B cell gene expression program, decreased initial GC B cell population numbers, affinity maturation, and plasma cell outputs. Glucose oxidation was heightened in GC B cells, but this hexose flowed more into the pentose phosphate pathway, whose activity was important in controlling reactive oxygen species (ROS) and Ab-secreting cell production. In modeling how glucose usage by B cells promotes the Ab response, the control of ROS appeared insufficient. Surprisingly, the combination of galactose, which mitigated ROS, with provision of mannose, an efficient precursor to glycosylation, supported robust production of and normal Ab secretion by Ab-secreting cells under glucose-free conditions. Collectively, the findings indicate that GCs depend on normal glucose influx, especially in plasma cell production, but reveal an unexpected metabolic flexibility in hexose requirements., (Copyright © 2023 by The American Association of Immunologists, Inc.)
- Published
- 2024
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31. Protein kinase C delta regulates mononuclear phagocytes and hinders response to immunotherapy in cancer.
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Chaib M, Holt JR, Fisher EL, Sipe LM, Bohm MS, Joseph SC, Simmons BW, Eugin Simon S, Yarbro JR, Tanveer U, Halle JL, Carson JA, Hollingsworth TJ, Wei Q, Rathmell JC, Thomas PG, Hayes DN, and Makowski L
- Subjects
- Mice, Humans, Animals, Signal Transduction, Immunotherapy, Phagocytes, Protein Kinase C-delta genetics, Protein Kinase C-delta metabolism, Neoplasms therapy
- Abstract
Mononuclear phagocytes (MPs) play a crucial role in tissue homeostasis; however, MPs also contribute to tumor progression and resistance to immune checkpoint blockade (ICB). Targeting MPs could be an effective strategy to enhance ICB efficacy. We report that protein kinase C delta (PKCδ), a serine/threonine kinase, is abundantly expressed by MPs in human and mouse tumors. PKCδ
-/- mice displayed reduced tumor progression compared to wild types, with increased response to anti-PD-1. Tumors from PKCδ-/- mice demonstrated TH 1-skewed immune response including increased antigen presentation and T cell activation. Depletion of MPs in vivo altered tumor growth in control but not PKCδ-/- mice. Coinjection of PKCδ-/- M2-like macrophages with cancer cells into wild-type mice markedly delayed tumor growth and significantly increased intratumoral T cell activation compared to PKCδ+/+ controls. PKCδ deficiency reprogrammed MPs by activating type I and type II interferon signaling. Thus, PKCδ might be targeted to reprogram MPs to augment ICB efficacy.- Published
- 2023
- Full Text
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32. Temporal recording of mammalian development and precancer.
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Islam M, Yang Y, Simmons AJ, Shah VM, Pavan MK, Xu Y, Tasneem N, Chen Z, Trinh LT, Molina P, Ramirez-Solano MA, Sadien I, Dou J, Chen K, Magnuson MA, Rathmell JC, Macara IG, Winton D, Liu Q, Zafar H, Kalhor R, Church GM, Shrubsole MJ, Coffey RJ, and Lau KS
- Abstract
Key to understanding many biological phenomena is knowing the temporal ordering of cellular events, which often require continuous direct observations [1, 2]. An alternative solution involves the utilization of irreversible genetic changes, such as naturally occurring mutations, to create indelible markers that enables retrospective temporal ordering [3-8]. Using NSC-seq, a newly designed and validated multi-purpose single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo , while incorporating assigned cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during murine embryonic development and identified new intestinal epithelial progenitor states by their unique genetic histories. NSC-seq analysis of murine adenomas and single-cell multi-omic profiling of human precancers as part of the Human Tumor Atlas Network (HTAN), including 116 scRNA-seq datasets and clonal analysis of 418 human polyps, demonstrated the occurrence of polyancestral initiation in 15-30% of colonic precancers, revealing their origins from multiple normal founders. Thus, our multimodal framework augments existing single-cell analyses and lays the foundation for in vivo multimodal recording, enabling the tracking of lineage and temporal events during development and tumorigenesis.
- Published
- 2023
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33. The glucose transporter 2 regulates CD8 + T cell function via environment sensing.
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Fu H, Vuononvirta J, Fanti S, Bonacina F, D'Amati A, Wang G, Poobalasingam T, Fankhaenel M, Lucchesi D, Coleby R, Tarussio D, Thorens B, Hearnden RJ, Longhi MP, Grevitt P, Sheikh MH, Solito E, Godinho SA, Bombardieri M, Smith DM, Cooper D, Iqbal AJ, Rathmell JC, Schaefer S, Morales V, Bianchi K, Norata GD, and Marelli-Berg FM
- Subjects
- Mice, Humans, Animals, Biological Transport physiology, Cell Differentiation, CD8-Positive T-Lymphocytes metabolism, Glucose metabolism, Glucose Transport Proteins, Facilitative genetics, Glucose Transport Proteins, Facilitative metabolism
- Abstract
T cell activation is associated with a profound and rapid metabolic response to meet increased energy demands for cell division, differentiation and development of effector function. Glucose uptake and engagement of the glycolytic pathway are major checkpoints for this event. Here we show that the low-affinity, concentration-dependent glucose transporter 2 (Glut2) regulates the development of CD8
+ T cell effector responses in mice by promoting glucose uptake, glycolysis and glucose storage. Expression of Glut2 is modulated by environmental factors including glucose and oxygen availability and extracellular acidification. Glut2 is highly expressed by circulating, recently primed T cells, allowing efficient glucose uptake and storage. In glucose-deprived inflammatory environments, Glut2 becomes downregulated, thus preventing passive loss of intracellular glucose. Mechanistically, Glut2 expression is regulated by a combination of molecular interactions involving hypoxia-inducible factor-1 alpha, galectin-9 and stomatin. Finally, we show that human T cells also rely on this glucose transporter, thus providing a potential target for therapeutic immunomodulation., (© 2023. The Author(s).)- Published
- 2023
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34. Plasma cell differentiation, antibody quality, and initial germinal center B cell population depend on glucose influx rate.
- Author
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Brookens SK, Cho SH, Paik Y, Meyer K, Raybuck AL, Park C, Greenwood DL, Rathmell JC, and Boothby MR
- Abstract
Antibody secretion into sera, selection for higher affinity BCR, and the generation of higher Ab affinities are important elements of immune response optimization, and a core function of germinal center reactions. B cell proliferation requires nutrients to support the anabolism inherent in clonal expansion. Glucose usage by GC B cells has been reported to contribute little to their energy needs, with questions raised as to whether or not glucose uptake or glycolysis increases in GC B cells compared to their naïve precursors. Indeed, metabolism can be highly flexible, such that supply shortage along one pathway may be compensated by increased flux on others. We now show that elimination of the glucose transporter GLUT1 after establishment of a pre-immune B cell repertoire, even after initiation of the GC B cell gene expression program, decreased initial GC B cell population numbers, affinity maturation, and PC outputs. Glucose oxidation was heightened in GC B cells, but this hexose flowed more into the pentose phosphate pathway (PPP), whose activity was important in controlling reactive oxygen (ROS) and ASC production. In modeling how glucose usage by B cells promotes the Ab response, the control of ROS appeared insufficient. Surprisingly, the combination of galactose, which mitigated ROS, with provision of mannose - an efficient precursor to glycosylation - supported robust production of and normal Ab secretion by ASC under glucose-free conditions. Collectively, the findings indicate that GC depend on normal glucose influx, especially in PC production, but reveal an unexpected metabolic flexibility in hexose requirements., Key Points: Glucose influx is critical for GC homeostasis, affinity maturation and the generation of Ab-secreting cells.Plasma cell development uses the Pentose Phosphate Pathway, and hexose sugars maintain redox homeostasis.PCs can develop and achieve robust Ab secretion in the absence of glucose using a combination of hexose alternatives.
- Published
- 2023
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35. Tissue-Specific Dependence of Th1 Cells on the Amino Acid Transporter SLC38A1 in Inflammation.
- Author
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Sugiura A, Beier KL, Chi C, Heintzman DR, Ye X, Wolf MM, Patterson AR, Cephus JY, Hong HS, Lyssiotis CA, Newcomb DC, and Rathmell JC
- Abstract
Amino acid (AA) uptake is essential for T cell metabolism and function, but how tissue sites and inflammation affect CD4
+ T cell subset requirements for specific AA remains uncertain. Here we tested CD4+ T cell AA demands with in vitro and multiple in vivo CRISPR screens and identify subset- and tissue-specific dependencies on the AA transporter SLC38A1 (SNAT1). While dispensable for T cell persistence and expansion over time in vitro and in vivo lung inflammation, SLC38A1 was critical for Th1 but not Th17 cell-driven Experimental Autoimmune Encephalomyelitis (EAE) and contributed to Th1 cell-driven inflammatory bowel disease. SLC38A1 deficiency reduced mTORC1 signaling and glycolytic activity in Th1 cells, in part by reducing intracellular glutamine and disrupting hexosamine biosynthesis and redox regulation. Similarly, pharmacological inhibition of SLC38 transporters delayed EAE but did not affect lung inflammation. Subset- and tissue-specific dependencies of CD4+ T cells on AA transporters may guide selective immunotherapies., Competing Interests: DECLARATION OF INTERESTS J.C.R. is a founder, scientific advisory board member, and stockholder of Sitryx Therapeutics, a scientific advisory board member and stockholder of Caribou Biosciences, a member of the scientific advisory board of Nirogy Therapeutics, has consulted for Merck, Pfizer, and Mitobridge within the past three years, and has received research support from Incyte Corp., Calithera Biosciences, and Tempest Therapeutics. In the past three years, C.A.L. has consulted for Astellas Pharmaceuticals, Odyssey Therapeutics, Third Rock Ventures, and T-Knife Therapeutics, and is an inventor on patents pertaining to Kras regulated metabolic pathways, redox control pathways in pancreatic cancer, and targeting the GOT1-ME1 pathway as a therapeutic approach (US Patent No: 2015126580-A1, 05/07/2015; US Patent No: 20190136238, 05/09/2019; International Patent No: WO2013177426-A2, 04/23/2015).- Published
- 2023
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36. Differential Effects of Glutamine Inhibition Strategies on Antitumor CD8 T Cells.
- Author
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Madden MZ, Ye X, Chi C, Fisher EL, Wolf MM, Needle GA, Bader JE, Patterson AR, Reinfeld BI, Landis MD, Hathaway ES, Muka JE, O'Neil RT, Karijolich J, Philip M, and Rathmell JC
- Subjects
- Animals, Mice, Glutamine metabolism, CD8-Positive T-Lymphocytes metabolism, Diazooxonorleucine pharmacology, Neoplasms therapy, Neoplasms metabolism
- Abstract
Activated T cells undergo metabolic reprogramming to meet anabolic, differentiation, and functional demands. Glutamine supports many processes in activated T cells, and inhibition of glutamine metabolism alters T cell function in autoimmune disease and cancer. Multiple glutamine-targeting molecules are under investigation, yet the precise mechanisms of glutamine-dependent CD8 T cell differentiation remain unclear. We show that distinct strategies of glutamine inhibition by glutaminase-specific inhibition with small molecule CB-839, pan-glutamine inhibition with 6-diazo-5-oxo-l-norleucine (DON), or by glutamine-depleted conditions (No Q) produce distinct metabolic differentiation trajectories in murine CD8 T cells. T cell activation with CB-839 treatment had a milder effect than did DON or No Q treatment. A key difference was that CB-839-treated cells compensated with increased glycolytic metabolism, whereas DON and No Q-treated cells increased oxidative metabolism. However, all glutamine treatment strategies elevated CD8 T cell dependence on glucose metabolism, and No Q treatment caused adaptation toward reduced glutamine dependence. DON treatment reduced histone modifications and numbers of persisting cells in adoptive transfer studies, but those T cells that remained could expand normally upon secondary Ag encounter. In contrast, No Q-treated cells persisted well yet demonstrated decreased secondary expansion. Consistent with reduced persistence, CD8 T cells activated in the presence of DON had reduced ability to control tumor growth and reduced tumor infiltration in adoptive cell therapy. Overall, each approach to inhibit glutamine metabolism confers distinct effects on CD8 T cells and highlights that targeting the same pathway in different ways can elicit opposing metabolic and functional outcomes., (Copyright © 2023 by The American Association of Immunologists, Inc.)
- Published
- 2023
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37. Metabolism of parathyroid organoids.
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Sekhar KR, Codreanu SG, Williams OC, Rathmell JC, Rathmell WK, McLean JA, Sherrod SD, and Baregamian N
- Subjects
- Humans, Biopsy, Fine-Needle methods, Organoids, Parathyroid Glands metabolism, Thyroid Gland
- Abstract
Introduction: We successfully developed a broad spectrum of patient-derived endocrine organoids (PDO) from benign and malignant neoplasms of thyroid, parathyroid, and adrenal glands. In this study, we employed functionally intact parathyroid PDOs from benign parathyroid tissues to study primary hyperparathyroidism (PHPT), a common endocrine metabolic disease. As proof of concept, we examined the utility of parathyroid PDOs for bioenergetic and metabolic screening and assessed whether parathyroid PDO metabolism recapitulated matched PHPT tissues., Methods: Our study methods included a fine-needle aspiration (FNA)-based technique to establish parathyroid PDOs from human PHPT tissues (n=6) in semi-solid culture conditions for organoid formation, growth, and proliferation. Mass spectrometry metabolomic analysis of PHPT tissues and patient-matched PDOs, and live cell bioenergetic profiling of parathyroid PDOs with extracellular flux analyses, were performed. Functional analysis cryopreserved and re-cultured parathyroid PDOs for parathyroid hormone (PTH) secretion was performed using ELISA hormone assays., Results and Discussion: Our findings support both the feasibility of parathyroid PDOs for metabolic and bioenergetic profiling and reinforce metabolic recapitulation of PHPT tissues by patient-matched parathyroid PDOs. Cryopreserved parathyroid PDOs exhibited preserved, rapid, and sustained secretory function after thawing. In conclusion, successful utilization of parathyroid PDOs for metabolic profiling further affirms the feasibility of promising endocrine organoid platforms for future metabolic studies and broader multiplatform and translational applications for therapeutic advancements of parathyroid and other endocrine applications., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Sekhar, Codreanu, Williams, Rathmell, Rathmell, McLean, Sherrod and Baregamian.)
- Published
- 2023
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38. STING-activating nanoparticles normalize the vascular-immune interface to potentiate cancer immunotherapy.
- Author
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Wang-Bishop L, Kimmel BR, Ngwa VM, Madden MZ, Baljon JJ, Florian DC, Hanna A, Pastora LE, Sheehy TL, Kwiatkowski AJ, Wehbe M, Wen X, Becker KW, Garland KM, Schulman JA, Shae D, Edwards D, Wolf MM, Delapp R, Christov PP, Beckermann KE, Balko JM, Rathmell WK, Rathmell JC, Chen J, and Wilson JT
- Subjects
- Mice, Animals, Humans, Immunotherapy, T-Lymphocytes, Disease Models, Animal, Tumor Microenvironment, Neoplasms, Nanoparticles
- Abstract
The tumor-associated vasculature imposes major structural and biochemical barriers to the infiltration of effector T cells and effective tumor control. Correlations between stimulator of interferon genes (STING) pathway activation and spontaneous T cell infiltration in human cancers led us to evaluate the effect of STING-activating nanoparticles (STANs), which are a polymersome-based platform for the delivery of a cyclic dinucleotide STING agonist, on the tumor vasculature and attendant effects on T cell infiltration and antitumor function. In multiple mouse tumor models, intravenous administration of STANs promoted vascular normalization, evidenced by improved vascular integrity, reduced tumor hypoxia, and increased endothelial cell expression of T cell adhesion molecules. STAN-mediated vascular reprogramming enhanced the infiltration, proliferation, and function of antitumor T cells and potentiated the response to immune checkpoint inhibitors and adoptive T cell therapy. We present STANs as a multimodal platform that activates and normalizes the tumor microenvironment to enhance T cell infiltration and function and augments responses to immunotherapy.
- Published
- 2023
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39. Hedgehog Signaling Regulates Treg to Th17 Conversion Through Metabolic Rewiring in Breast Cancer.
- Author
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Hinshaw DC, Benavides GA, Metge BJ, Swain CA, Kammerud SC, Alsheikh HA, Elhamamsy A, Chen D, Darley-Usmar V, Rathmell JC, Welner RS, Samant RS, and Shevde LA
- Subjects
- Humans, Hedgehog Proteins metabolism, Th17 Cells, Signal Transduction, Transcription Factors metabolism, Tumor Microenvironment, T-Lymphocytes, Regulatory, Neoplasms metabolism
- Abstract
The tumor immune microenvironment dynamically evolves to support tumor growth and progression. Immunosuppressive regulatory T cells (Treg) promote tumor growth and metastatic seeding in patients with breast cancer. Deregulation of plasticity between Treg and Th17 cells creates an immune regulatory framework that enables tumor progression. Here, we discovered a functional role for Hedgehog (Hh) signaling in promoting Treg differentiation and immunosuppressive activity, and when Hh activity was inhibited, Tregs adopted a Th17-like phenotype complemented by an enhanced inflammatory profile. Mechanistically, Hh signaling promoted O-GlcNAc modifications of critical Treg and Th17 transcription factors, Foxp3 and STAT3, respectively, that orchestrated this transition. Blocking Hh reprogramed Tregs metabolically, dampened their immunosuppressive activity, and supported their transdifferentiation into inflammatory Th17 cells that enhanced the recruitment of cytotoxic CD8+ T cells into tumors. Our results demonstrate a previously unknown role for Hh signaling in the regulation of Treg differentiation and activity and the switch between Tregs and Th17 cells in the tumor microenvironment., (©2023 American Association for Cancer Research.)
- Published
- 2023
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40. Immunometabolism at the crossroads of obesity and cancer-a Keystone Symposia report.
- Author
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Cable J, Rathmell JC, Pearce EL, Ho PC, Haigis MC, Mamedov MR, Wu MJ, Kaech SM, Lynch L, Febbraio MA, Bapat SP, Hong HS, Zou W, Belkaid Y, Sullivan ZA, Keller A, Wculek SK, Green DR, Postic C, Amit I, Benitah SA, Jones RG, Reina-Campos M, Torres SV, Beyaz S, Brennan D, O'Neill LAJ, Perry RJ, and Brenner D
- Subjects
- Humans, Immune System, Metabolic Networks and Pathways, Obesity therapy, Obesity metabolism, Tumor Microenvironment, Neoplasms metabolism
- Abstract
Immunometabolism considers the relationship between metabolism and immunity. Typically, researchers focus on either the metabolic pathways within immune cells that affect their function or the impact of immune cells on systemic metabolism. A more holistic approach that considers both these viewpoints is needed. On September 5-8, 2022, experts in the field of immunometabolism met for the Keystone symposium "Immunometabolism at the Crossroads of Obesity and Cancer" to present recent research across the field of immunometabolism, with the setting of obesity and cancer as an ideal example of the complex interplay between metabolism, immunity, and cancer. Speakers highlighted new insights on the metabolic links between tumor cells and immune cells, with a focus on leveraging unique metabolic vulnerabilities of different cell types in the tumor microenvironment as therapeutic targets and demonstrated the effects of diet, the microbiome, and obesity on immune system function and cancer pathogenesis and therapy. Finally, speakers presented new technologies to interrogate the immune system and uncover novel metabolic pathways important for immunity., (© 2023 New York Academy of Sciences.)
- Published
- 2023
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41. Transcriptional and metabolic programs promote the expansion of follicular helper T cells in lupus-prone mice.
- Author
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Gong M, Choi SC, Park YP, Zou X, Elshikha AS, Gerriets VA, Rathmell JC, Mohamazadeh M, and Morel L
- Abstract
The expansion of follicular helper T (Tfh) cells, which is tightly associated with the development of lupus, is reversed by the inhibition of either glycolysis or glutaminolysis in mice. Here we analyzed the gene expression and metabolome of Tfh cells and naive CD4
+ T (Tn) cells in the B6. Sle1.Sle2.Sle3 (triple congenic, TC) mouse model of lupus and its congenic B6 control. Lupus genetic susceptibility in TC mice drives a gene expression signature starting in Tn cells and expanding in Tfh cells with enhanced signaling and effector programs. Metabolically, TC Tn and Tfh cells showed multiple defective mitochondrial functions. TC Tfh cells also showed specific anabolic programs including enhanced glutamate metabolism, malate-aspartate shuttle, and ammonia recycling, as well as altered dynamics of amino acid content and their transporters. Thus, our study has revealed specific metabolic programs that can be targeted to specifically limit the expansion of pathogenic Tfh cells in lupus., Competing Interests: Dr. Jeffrey Rathmell is a founder, scientific advisory board member, and stockholder of Sitryx Therapeutics, a scientific advisory board member and stockholder of Caribou Biosciences, a member of the scientific advisory board of Nirogy Therapeutics, has consulted for Merck, Pfizer, and Mitobridge within the past three years, and has received research support from Incyte Corp., Calithera Biosciences, and Tempest Therapeutics. The other authors declare no competing interests., (© 2023 The Authors.)- Published
- 2023
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42. Neurons require glucose uptake and glycolysis in vivo.
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Li H, Guglielmetti C, Sei YJ, Zilberter M, Le Page LM, Shields L, Yang J, Nguyen K, Tiret B, Gao X, Bennett N, Lo I, Dayton TL, Kampmann M, Huang Y, Rathmell JC, Vander Heiden M, Chaumeil MM, and Nakamura K
- Subjects
- Humans, Female, Mice, Animals, Magnetic Resonance Imaging, Neurons metabolism, Glucose metabolism, Glycolysis physiology, Energy Metabolism
- Abstract
Neurons require large amounts of energy, but whether they can perform glycolysis or require glycolysis to maintain energy remains unclear. Using metabolomics, we show that human neurons do metabolize glucose through glycolysis and can rely on glycolysis to supply tricarboxylic acid (TCA) cycle metabolites. To investigate the requirement for glycolysis, we generated mice with postnatal deletion of either the dominant neuronal glucose transporter (GLUT3cKO) or the neuronal-enriched pyruvate kinase isoform (PKM1cKO) in CA1 and other hippocampal neurons. GLUT3cKO and PKM1cKO mice show age-dependent learning and memory deficits. Hyperpolarized magnetic resonance spectroscopic (MRS) imaging shows that female PKM1cKO mice have increased pyruvate-to-lactate conversion, whereas female GLUT3cKO mice have decreased conversion, body weight, and brain volume. GLUT3KO neurons also have decreased cytosolic glucose and ATP at nerve terminals, with spatial genomics and metabolomics revealing compensatory changes in mitochondrial bioenergetics and galactose metabolism. Therefore, neurons metabolize glucose through glycolysis in vivo and require glycolysis for normal function., Competing Interests: Declaration of interests M.G.V.H. discloses that he is a scientific advisor for Agios Pharmaceuticals, iTeos Therapeutics, Sage Therapeutics, Faeth Therapeutics, DRIOA Ventures, and Auron Therapeutics. Y.H. discloses that he is a co-founder and scientific advisory board member of GABAeron., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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43. Metabolic programming and immune suppression in the tumor microenvironment.
- Author
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Arner EN and Rathmell JC
- Subjects
- Humans, Immunotherapy, Lymphocytes metabolism, Tumor Microenvironment, Neoplasms drug therapy
- Abstract
Increased glucose metabolism and uptake are characteristic of many tumors and used clinically to diagnose and monitor cancer progression. In addition to cancer cells, the tumor microenvironment (TME) encompasses a wide range of stromal, innate, and adaptive immune cells. Cooperation and competition between these cell populations supports tumor proliferation, progression, metastasis, and immune evasion. Cellular heterogeneity leads to metabolic heterogeneity because metabolic programs within the tumor are dependent not only on the TME cellular composition but also on cell states, location, and nutrient availability. In addition to driving metabolic plasticity of cancer cells, altered nutrients and signals in the TME can lead to metabolic immune suppression of effector cells and promote regulatory immune cells. Here we discuss how metabolic programming of cells within the TME promotes tumor proliferation, progression, and metastasis. We also discuss how targeting metabolic heterogeneity may offer therapeutic opportunities to overcome immune suppression and augment immunotherapies., Competing Interests: Declaration of interests J.C.R. holds stock equity in Sitryx and Caribou and within the past 2 years has received unrelated research support, travel, or honoraria from Sitryx, Caribou, Nirogy, Kadmon, Calithera, Tempest, Merck, Mitobridge, and Pfizer., (Copyright © 2023 Elsevier Inc. All rights reserved.)
- Published
- 2023
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44. Functional Overlap of Inborn Errors of Immunity and Metabolism Genes Define T Cell Immunometabolic Vulnerabilities.
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Patterson AR, Needle GA, Sugiura A, Chi C, Steiner KK, Fisher EL, Robertson GL, Bodnya C, Markle JG, Gama V, and Rathmell JC
- Abstract
Inborn Errors of Metabolism (IEM) and Immunity (IEI) are Mendelian diseases in which complex phenotypes and patient rarity can limit clinical annotations. Few genes are assigned to both IEM and IEI, but immunometabolic demands suggest functional overlap is underestimated. We applied CRISPR screens to test IEM genes for immunologic roles and IEI genes for metabolic effects and found considerable crossover. Analysis of IEM showed N-linked glycosylation and the de novo hexosamine synthesis enzyme, Gfpt1 , are critical for T cell expansion and function. Interestingly, Gfpt1 -deficient T
H 1 cells were more affected than TH 17 cells, which had increased Nagk for salvage UDP-GlcNAc synthesis. Screening IEI genes showed the transcription factor Bcl11b promotes CD4+ T cell mitochondrial activity and Mcl1 expression necessary to prevent metabolic stress. These data illustrate a high degree of functional overlap of IEM and IEI genes and point to potential immunometabolic mechanisms for a previously unappreciated set of these disorders., Highlights: Inborn errors of immunity and metabolism have greater overlap than previously known Gfpt1 deficiency causes an IEM but also selectively regulates T cell subset fate Loss of Bcl11b causes a T cell deficiency IEI but also harms mitochondrial function Many IEM may have immune defects and IEI may be driven by metabolic mechanisms.- Published
- 2023
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45. Elevated transferrin receptor impairs T cell metabolism and function in systemic lupus erythematosus.
- Author
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Voss K, Sewell AE, Krystofiak ES, Gibson-Corley KN, Young AC, Basham JH, Sugiura A, Arner EN, Beavers WN, Kunkle DE, Dickson ME, Needle GA, Skaar EP, Rathmell WK, Ormseth MJ, Major AS, and Rathmell JC
- Subjects
- Animals, Mice, Interleukin-10 metabolism, Humans, Lupus Erythematosus, Systemic metabolism, Receptors, Transferrin metabolism, T-Lymphocytes, Regulatory metabolism
- Abstract
T cells in systemic lupus erythematosus (SLE) exhibit multiple metabolic abnormalities. Excess iron can impair mitochondria and may contribute to SLE. To gain insights into this potential role of iron in SLE, we performed a CRISPR screen of iron handling genes on T cells. Transferrin receptor (CD71) was identified as differentially critical for T
H 1 and inhibitory for induced regulatory T cells (iTregs ). Activated T cells induced CD71 and iron uptake, which was exaggerated in SLE-prone T cells. Cell surface CD71 was enhanced in SLE-prone T cells by increased endosomal recycling. Blocking CD71 reduced intracellular iron and mTORC1 signaling, which inhibited TH 1 and TH 17 cells yet enhanced iTregs . In vivo treatment reduced kidney pathology and increased CD4 T cell production of IL-10 in SLE-prone mice. Disease severity correlated with CD71 expression on TH 17 cells from patients with SLE, and blocking CD71 in vitro enhanced IL-10 secretion. T cell iron uptake via CD71 thus contributes to T cell dysfunction and can be targeted to limit SLE-associated pathology.- Published
- 2023
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46. Lipid kinase PIK3C3 maintains healthy brown and white adipose tissues to prevent metabolic diseases.
- Author
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Song W, Postoak JL, Yang G, Guo X, Pua HH, Bader J, Rathmell JC, Kobayashi H, Haase VH, Leaptrot KL, Schrimpe-Rutledge AC, Sherrod SD, McLean JA, Zhang J, Wu L, and Van Kaer L
- Subjects
- Animals, Mice, Class III Phosphatidylinositol 3-Kinases genetics, Class III Phosphatidylinositol 3-Kinases metabolism, Adipocytes metabolism, Lipids, Adipose Tissue, Brown metabolism, Adipocytes, Brown metabolism, Diabetes Mellitus, Type 2 metabolism, Insulin Resistance
- Abstract
Adequate mass and function of adipose tissues (ATs) play essential roles in preventing metabolic perturbations. The pathological reduction of ATs in lipodystrophy leads to an array of metabolic diseases. Understanding the underlying mechanisms may benefit the development of effective therapies. Several cellular processes, including autophagy and vesicle trafficking, function collectively to maintain AT homeostasis. Here, we investigated the impact of adipocyte-specific deletion of the lipid kinase phosphatidylinositol 3-kinase catalytic subunit type 3 (PIK3C3) on AT homeostasis and systemic metabolism in mice. We report that PIK3C3 functions in all ATs and that its absence disturbs adipocyte autophagy and hinders adipocyte differentiation, survival, and function with differential effects on brown and white ATs. These abnormalities cause loss of white ATs, whitening followed by loss of brown ATs, and impaired "browning" of white ATs. Consequently, mice exhibit compromised thermogenic capacity and develop dyslipidemia, hepatic steatosis, insulin resistance, and type 2 diabetes. While these effects of PIK3C3 largely contrast previous findings with the autophagy-related (ATG) protein ATG7 in adipocytes, mice with a combined deficiency in both factors reveal a dominant role of the PIK3C3-deficient phenotype. We have also found that dietary lipid excess exacerbates AT pathologies caused by PIK3C3 deficiency. Surprisingly, glucose tolerance is spared in adipocyte-specific PIK3C3-deficient mice, a phenotype that is more evident during dietary lipid excess. These findings reveal a crucial yet complex role for PIK3C3 in ATs, with potential therapeutic implications.
- Published
- 2023
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47. Engineering functional 3-dimensional patient-derived endocrine organoids for broad multiplatform applications.
- Author
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Baregamian N, Sekhar KR, Krystofiak ES, Vinogradova M, Thomas G, Mannoh E, Solórzano CC, Kiernan CM, Mahadevan-Jansen A, Abumrad N, Freeman ML, Weiss VL, Rathmell JC, and Rathmell WK
- Subjects
- Humans, Organoids, Tumor Microenvironment, Thyroid Neoplasms pathology, Adrenal Gland Neoplasms pathology
- Abstract
Background: Recent advancements in 3-dimensional patient-derived organoid models have revolutionized the field of cancer biology. There is an urgent need for development of endocrine tumor organoid models for medullary thyroid carcinoma, adrenocortical carcinoma, papillary thyroid carcinoma, and a spectrum of benign hyperfunctioning parathyroid and adrenal neoplasms. We aimed to engineer functionally intact 3-dimensional endocrine patient-derived organoids to expand the in vitro and translational applications for the advancement of endocrine research., Methods: Using our recently developed fine needle aspiration-based methodology, we established patient-derived 3-dimensional endocrine organoid models using prospectively collected human papillary thyroid carcinoma (n = 6), medullary thyroid carcinoma (n = 3), adrenocortical carcinoma (n = 3), and parathyroid (n = 5). and adrenal (n = 5) neoplasms. Multiplatform analyses of endocrine patient-derived organoids and applications in oncoimmunology, near-infrared autofluorescence, and radiosensitization studies under 3-dimensional in vitro conditions were performed., Results: We have successfully modeled and analyzed the complex endocrine microenvironment for a spectrum of endocrine neoplasms in 3-dimensional culture. The endocrine patient-derived organoids recapitulated complex tumor microenvironment of endocrine neoplasms morphologically and functionally and maintained cytokine production and near-infrared autofluorescence properties., Conclusion: Our novel engineered endocrine patient-derived organoid models of thyroid, parathyroid and adrenal neoplasms represent an exciting and elegant alternative to current limited 2-dimensional systems and afford future broad multiplatform in vitro and translational applications, including in endocrine oncoimmunology., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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48. Neutrophil trafficking to the site of infection requires Cpt1a-dependent fatty acid β-oxidation.
- Author
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Pham L, Komalavilas P, Eddie AM, Thayer TE, Greenwood DL, Liu KH, Weinberg J, Patterson A, Fessel JP, Boyd KL, Schafer JC, Kuck JL, Shaver AC, Flaherty DK, Matlock BK, Wijers CDM, Serezani CH, Jones DP, Brittain EL, Rathmell JC, and Noto MJ
- Subjects
- Animals, Humans, Infant, Mice, Fatty Acids metabolism, Mitochondria metabolism, Carnitine O-Palmitoyltransferase genetics, Carnitine O-Palmitoyltransferase metabolism, Lipid Metabolism, Neutrophils metabolism
- Abstract
Cellular metabolism influences immune cell function, with mitochondrial fatty acid β-oxidation and oxidative phosphorylation required for multiple immune cell phenotypes. Carnitine palmitoyltransferase 1a (Cpt1a) is considered the rate-limiting enzyme for mitochondrial metabolism of long-chain fatty acids, and Cpt1a deficiency is associated with infant mortality and infection risk. This study was undertaken to test the hypothesis that impairment in Cpt1a-dependent fatty acid oxidation results in increased susceptibility to infection. Screening the Cpt1a gene for common variants predicted to affect protein function revealed allele rs2229738_T, which was associated with pneumonia risk in a targeted human phenome association study. Pharmacologic inhibition of Cpt1a increases mortality and impairs control of the infection in a murine model of bacterial pneumonia. Susceptibility to pneumonia is associated with blunted neutrophilic responses in mice and humans that result from impaired neutrophil trafficking to the site of infection. Chemotaxis responsible for neutrophil trafficking requires Cpt1a-dependent mitochondrial fatty acid oxidation for amplification of chemoattractant signals. These findings identify Cpt1a as a potential host determinant of infection susceptibility and demonstrate a requirement for mitochondrial fatty acid oxidation in neutrophil biology., (© 2022. The Author(s).)
- Published
- 2022
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49. Acly Deficiency Enhances Myelopoiesis through Acetyl Coenzyme A and Metabolic-Epigenetic Cross-Talk.
- Author
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Greenwood DL, Ramsey HE, Nguyen PTT, Patterson AR, Voss K, Bader JE, Sugiura A, Bacigalupa ZA, Schaefer S, Ye X, Dahunsi DO, Madden MZ, Wellen KE, Savona MR, Ferrell PB, and Rathmell JC
- Subjects
- Animals, Mice, Acetyl Coenzyme A genetics, Acetyl Coenzyme A metabolism, Chromatin metabolism, ATP Citrate (pro-S)-Lyase deficiency, ATP Citrate (pro-S)-Lyase genetics, Epigenesis, Genetic, Myelopoiesis genetics, Chromatin Assembly and Disassembly
- Abstract
Hematopoiesis integrates cytokine signaling, metabolism, and epigenetic modifications to regulate blood cell generation. These processes are linked, as metabolites provide essential substrates for epigenetic marks. In this study, we demonstrate that ATP citrate lyase (Acly), which metabolizes citrate to generate cytosolic acetyl-CoA and is of clinical interest, can regulate chromatin accessibility to limit myeloid differentiation. Acly was tested for a role in murine hematopoiesis by small-molecule inhibition or genetic deletion in lineage-depleted, c-Kit-enriched hematopoietic stem and progenitor cells from Mus musculus. Treatments increased the abundance of cell populations that expressed the myeloid integrin CD11b and other markers of myeloid differentiation. When single-cell RNA sequencing was performed, we found that Acly inhibitor-treated hematopoietic stem and progenitor cells exhibited greater gene expression signatures for macrophages and enrichment of these populations. Similarly, the single-cell assay for transposase-accessible chromatin sequencing showed increased chromatin accessibility at genes associated with myeloid differentiation, including CD11b, CD11c, and IRF8. Mechanistically, Acly deficiency altered chromatin accessibility and expression of multiple C/EBP family transcription factors known to regulate myeloid differentiation and cell metabolism, with increased Cebpe and decreased Cebpa and Cebpb. This effect of Acly deficiency was accompanied by altered mitochondrial metabolism with decreased mitochondrial polarization but increased mitochondrial content and production of reactive oxygen species. The bias to myeloid differentiation appeared due to insufficient generation of acetyl-CoA, as exogenous acetate to support alternate compensatory pathways to produce acetyl-CoA reversed this phenotype. Acly inhibition thus can promote myelopoiesis through deprivation of acetyl-CoA and altered histone acetylome to regulate C/EBP transcription factor family activity for myeloid differentiation., (Copyright © 2022 The Authors.)
- Published
- 2022
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50. T cells specific for α-myosin drive immunotherapy-related myocarditis.
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Axelrod ML, Meijers WC, Screever EM, Qin J, Carroll MG, Sun X, Tannous E, Zhang Y, Sugiura A, Taylor BC, Hanna A, Zhang S, Amancherla K, Tai W, Wright JJ, Wei SC, Opalenik SR, Toren AL, Rathmell JC, Ferrell PB, Phillips EJ, Mallal S, Johnson DB, Allison JP, Moslehi JJ, and Balko JM
- Subjects
- Animals, Mice, Autoantigens immunology, CTLA-4 Antigen deficiency, CTLA-4 Antigen genetics, CD8-Positive T-Lymphocytes immunology, Immunotherapy adverse effects, Myocarditis chemically induced, Myocarditis etiology, Myocarditis mortality, Myocarditis pathology, Ventricular Myosins immunology
- Abstract
Immune-related adverse events, particularly severe toxicities such as myocarditis, are major challenges to the utility of immune checkpoint inhibitors (ICIs) in anticancer therapy
1 . The pathogenesis of ICI-associated myocarditis (ICI-MC) is poorly understood. Pdcd1-/- Ctla4+/- mice recapitulate clinicopathological features of ICI-MC, including myocardial T cell infiltration2 . Here, using single-cell RNA and T cell receptor (TCR) sequencing of cardiac immune infiltrates from Pdcd1-/- Ctla4+/- mice, we identify clonal effector CD8+ T cells as the dominant cell population. Treatment with anti-CD8-depleting, but not anti-CD4-depleting, antibodies improved the survival of Pdcd1-/- Ctla4+/- mice. Adoptive transfer of immune cells from mice with myocarditis induced fatal myocarditis in recipients, which required CD8+ T cells. The cardiac-specific protein α-myosin, which is absent from the thymus3,4 , was identified as the cognate antigen source for three major histocompatibility complex class I-restricted TCRs derived from mice with fulminant myocarditis. Peripheral blood T cells from three patients with ICI-MC were expanded by α-myosin peptides. Moreover, these α-myosin-expanded T cells shared TCR clonotypes with diseased heart and skeletal muscle, which indicates that α-myosin may be a clinically important autoantigen in ICI-MC. These studies underscore the crucial role for cytotoxic CD8+ T cells, identify a candidate autoantigen in ICI-MC and yield new insights into the pathogenesis of ICI toxicity., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)- Published
- 2022
- Full Text
- View/download PDF
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