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20 results on '"Dresdner, G."'

1. Boosting Black Box Variational Inference

Author

Francesco Locatello, Dresdner, G., Khanna, R., Valera, I., and Rätsch, G.

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Machine Learning (stat.ML), Machine Learning (cs.LG)
Abstract

Approximating a probability density in a tractable manner is a central task in Bayesian statistics. Variational Inference (VI) is a popular technique that achieves tractability by choosing a relatively simple variational family. Borrowing ideas from the classic boosting framework, recent approaches attempt to \emph{boost} VI by replacing the selection of a single density with a greedily constructed mixture of densities. In order to guarantee convergence, previous works impose stringent assumptions that require significant effort for practitioners. Specifically, they require a custom implementation of the greedy step (called the LMO) for every probabilistic model with respect to an unnatural variational family of truncated distributions. Our work fixes these issues with novel theoretical and algorithmic insights. On the theoretical side, we show that boosting VI satisfies a relaxed smoothness assumption which is sufficient for the convergence of the functional Frank-Wolfe (FW) algorithm. Furthermore, we rephrase the LMO problem and propose to maximize the Residual ELBO (RELBO) which replaces the standard ELBO optimization in VI. These theoretical enhancements allow for black box implementation of the boosting subroutine. Finally, we present a stopping criterion drawn from the duality gap in the classic FW analyses and exhaustive experiments to illustrate the usefulness of our theoretical and algorithmic contributions.

Published
2018

2. Comprehensive molecular characterization of gastric adenocarcinoma

Author

Bass, AJ, Thorsson, V, Shmulevich, I, Reynolds, SM, Miller, M, Bernard, B, Hinoue, T, Laird, PW, Curtis, C, Shen, H, Weisenberger, DJ, Schultz, N, Shen, R, Weinhold, N, Keiser, DP, Bowlby, R, Sipahimalani, P, Cherniack, AD, Getz, G, Liu, Y, Noble, MS, Pedamallu, C, Sougnez, C, Taylor-Weiner, A, Akbani, R, Lee, J-S, Liu, W, Mills, GB, Yang, D, Zhang, W, Pantazi, A, Parfenov, M, Gulley, M, Piazuelo, MB, Schneider, BG, Kim, J, Boussioutas, A, Sheth, M, Demchok, JA, Rabkin, CS, Willis, JE, Ng, S, Garman, K, Beer, DG, Pennathur, A, Raphael, BJ, Wu, H-T, Odze, R, Kim, HK, Bowen, J, Leraas, KM, Lichtenberg, TM, Weaver, L, McLellan, M, Wiznerowicz, M, Sakai, R, Lawrence, MS, Cibulskis, K, Lichtenstein, L, Fisher, S, Gabriel, SB, Lander, ES, Ding, L, Niu, B, Ally, A, Balasundaram, M, Birol, I, Brooks, D, Butterfield, YSN, Carlsen, R, Chu, A, Chu, J, Chuah, E, Chun, H-JE, Clarke, A, Dhalla, N, Guin, R, Holt, RA, Jones, SJM, Kasaian, K, Lee, D, Li, HA, Lim, E, Ma, Y, Marra, MA, Mayo, M, Moore, RA, Mungall, AJ, Mungall, KL, Nip, KM, Robertson, AG, Schein, JE, Tam, A, Thiessen, N, Beroukhim, R, Carter, SL, Cho, J, DiCara, D, Frazer, S, Gehlenborg, N, Heiman, DI, Jung, J, Lin, P, Meyerson, M, Ojesina, AI, Pedamallu, CS, Saksena, G, Schumacher, SE, Stojanov, P, Tabak, B, Voet, D, Rosenberg, M, Zack, TI, Zhang, H, Zou, L, Protopopov, A, Santoso, N, Lee, S, Zhang, J, Mahadeshwar, HS, Tang, J, Ren, X, Seth, S, Yang, L, Xu, AW, Song, X, Xi, R, Bristow, CA, Hadjipanayis, A, Seidman, J, Chin, L, Park, PJ, Kucherlapati, R, Ling, S, Rao, A, Weinstein, JN, Kim, S-B, Lu, Y, Mills, G, Bootwalla, MS, Lai, PH, Triche, T, Van Den Berg, DJ, Baylin, SB, Herman, JG, Murray, BA, Askoy, BA, Ciriello, G, Dresdner, G, Gao, J, Gross, B, Jacobsen, A, Lee, W, Ramirez, R, Sander, C, Senbabaoglu, Y, Sinha, R, Sumer, SO, Sun, Y, Iype, L, Kramer, RW, Kreisberg, R, Rovira, H, Tasman, N, Haussler, D, Stuart, JM, Verhaak, RGW, Leiserson, MDM, Taylor, BS, Black, AD, Carney, JA, Gastier-Foster, JM, Helsel, C, McAllister, C, Ramirez, NC, Tabler, TR, Wise, L, Zmuda, E, Penny, R, Crain, D, Gardner, J, Lau, K, Curely, E, Mallery, D, Morris, S, Paulauskis, J, Shelton, T, Shelton, C, Sherman, M, Benz, C, Lee, J-H, Fedosenko, K, Manikhas, G, Voronina, O, Belyaev, D, Dolzhansky, O, Rathmell, WK, Brzezinski, J, Ibbs, M, Korski, K, Kycler, W, Lazniak, R, Leporowska, E, Mackiewicz, A, Murawa, D, Murawa, P, Spychala, A, Suchorska, WM, Tatka, H, Teresiak, M, Abdel-Misih, R, Bennett, J, Brown, J, Iacocca, M, Rabeno, B, Kwon, S-Y, Kemkes, A, Curley, E, Alexopoulou, I, Engel, J, Bartlett, J, Albert, M, Park, D-Y, Dhir, R, Luketich, J, Landreneau, R, Janjigian, YY, Kelsen, DP, Cho, E, Ladanyi, M, Tang, L, McCall, SJ, Park, YS, Cheong, J-H, Ajani, J, Camargo, MC, Alonso, S, Ayala, B, Jensen, MA, Pihl, T, Raman, R, Walton, J, Wan, Y, Eley, G, Shaw, KRM, Tarnuzzer, R, Wang, Z, Zenklusen, JC, Davidsen, T, Hutter, CM, Sofia, HJ, Burton, R, Chudamani, S, Liu, J, Bass, AJ, Thorsson, V, Shmulevich, I, Reynolds, SM, Miller, M, Bernard, B, Hinoue, T, Laird, PW, Curtis, C, Shen, H, Weisenberger, DJ, Schultz, N, Shen, R, Weinhold, N, Keiser, DP, Bowlby, R, Sipahimalani, P, Cherniack, AD, Getz, G, Liu, Y, Noble, MS, Pedamallu, C, Sougnez, C, Taylor-Weiner, A, Akbani, R, Lee, J-S, Liu, W, Mills, GB, Yang, D, Zhang, W, Pantazi, A, Parfenov, M, Gulley, M, Piazuelo, MB, Schneider, BG, Kim, J, Boussioutas, A, Sheth, M, Demchok, JA, Rabkin, CS, Willis, JE, Ng, S, Garman, K, Beer, DG, Pennathur, A, Raphael, BJ, Wu, H-T, Odze, R, Kim, HK, Bowen, J, Leraas, KM, Lichtenberg, TM, Weaver, L, McLellan, M, Wiznerowicz, M, Sakai, R, Lawrence, MS, Cibulskis, K, Lichtenstein, L, Fisher, S, Gabriel, SB, Lander, ES, Ding, L, Niu, B, Ally, A, Balasundaram, M, Birol, I, Brooks, D, Butterfield, YSN, Carlsen, R, Chu, A, Chu, J, Chuah, E, Chun, H-JE, Clarke, A, Dhalla, N, Guin, R, Holt, RA, Jones, SJM, Kasaian, K, Lee, D, Li, HA, Lim, E, Ma, Y, Marra, MA, Mayo, M, Moore, RA, Mungall, AJ, Mungall, KL, Nip, KM, Robertson, AG, Schein, JE, Tam, A, Thiessen, N, Beroukhim, R, Carter, SL, Cho, J, DiCara, D, Frazer, S, Gehlenborg, N, Heiman, DI, Jung, J, Lin, P, Meyerson, M, Ojesina, AI, Pedamallu, CS, Saksena, G, Schumacher, SE, Stojanov, P, Tabak, B, Voet, D, Rosenberg, M, Zack, TI, Zhang, H, Zou, L, Protopopov, A, Santoso, N, Lee, S, Zhang, J, Mahadeshwar, HS, Tang, J, Ren, X, Seth, S, Yang, L, Xu, AW, Song, X, Xi, R, Bristow, CA, Hadjipanayis, A, Seidman, J, Chin, L, Park, PJ, Kucherlapati, R, Ling, S, Rao, A, Weinstein, JN, Kim, S-B, Lu, Y, Mills, G, Bootwalla, MS, Lai, PH, Triche, T, Van Den Berg, DJ, Baylin, SB, Herman, JG, Murray, BA, Askoy, BA, Ciriello, G, Dresdner, G, Gao, J, Gross, B, Jacobsen, A, Lee, W, Ramirez, R, Sander, C, Senbabaoglu, Y, Sinha, R, Sumer, SO, Sun, Y, Iype, L, Kramer, RW, Kreisberg, R, Rovira, H, Tasman, N, Haussler, D, Stuart, JM, Verhaak, RGW, Leiserson, MDM, Taylor, BS, Black, AD, Carney, JA, Gastier-Foster, JM, Helsel, C, McAllister, C, Ramirez, NC, Tabler, TR, Wise, L, Zmuda, E, Penny, R, Crain, D, Gardner, J, Lau, K, Curely, E, Mallery, D, Morris, S, Paulauskis, J, Shelton, T, Shelton, C, Sherman, M, Benz, C, Lee, J-H, Fedosenko, K, Manikhas, G, Voronina, O, Belyaev, D, Dolzhansky, O, Rathmell, WK, Brzezinski, J, Ibbs, M, Korski, K, Kycler, W, Lazniak, R, Leporowska, E, Mackiewicz, A, Murawa, D, Murawa, P, Spychala, A, Suchorska, WM, Tatka, H, Teresiak, M, Abdel-Misih, R, Bennett, J, Brown, J, Iacocca, M, Rabeno, B, Kwon, S-Y, Kemkes, A, Curley, E, Alexopoulou, I, Engel, J, Bartlett, J, Albert, M, Park, D-Y, Dhir, R, Luketich, J, Landreneau, R, Janjigian, YY, Kelsen, DP, Cho, E, Ladanyi, M, Tang, L, McCall, SJ, Park, YS, Cheong, J-H, Ajani, J, Camargo, MC, Alonso, S, Ayala, B, Jensen, MA, Pihl, T, Raman, R, Walton, J, Wan, Y, Eley, G, Shaw, KRM, Tarnuzzer, R, Wang, Z, Zenklusen, JC, Davidsen, T, Hutter, CM, Sofia, HJ, Burton, R, Chudamani, S, and Liu, J

Abstract

Gastric cancer is a leading cause of cancer deaths, but analysis of its molecular and clinical characteristics has been complicated by histological and aetiological heterogeneity. Here we describe a comprehensive molecular evaluation of 295 primary gastric adenocarcinomas as part of The Cancer Genome Atlas (TCGA) project. We propose a molecular classification dividing gastric cancer into four subtypes: tumours positive for Epstein-Barr virus, which display recurrent PIK3CA mutations, extreme DNA hypermethylation, and amplification of JAK2, CD274 (also known as PD-L1) and PDCD1LG2 (also known as PD-L2); microsatellite unstable tumours, which show elevated mutation rates, including mutations of genes encoding targetable oncogenic signalling proteins; genomically stable tumours, which are enriched for the diffuse histological variant and mutations of RHOA or fusions involving RHO-family GTPase-activating proteins; and tumours with chromosomal instability, which show marked aneuploidy and focal amplification of receptor tyrosine kinases. Identification of these subtypes provides a roadmap for patient stratification and trials of targeted therapies.

Published
2014

3. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin

Author

Hoadley, K., Yau, C., Wolf, D., Cherniack, A., Tamborero, D., Ng, S., Leiserson, M., Niu, B., McLellan, M., Uzunangelov, V., Zhang, J., Kandoth, C., Akbani, R., Shen, H., Omberg, L., Chu, A., Margolin, A., van't Veer, L., Lopez-Bigas, N., Laird, P., Raphael, B., Ding, L., Robertson, A., Byers, L., Mills, G., Weinstein, J., Van Waes, C., Chen, Z., Collisson, E., Benz, C., Perou, C., Stuart, J., Abbott, R., Abbott, S., Aksoy, B., Aldape, K., Ally, A., Amin, S., Anastassiou, D., Auman, J., Baggerly, K., Balasundaram, M., Balu, S., Baylin, S., Benz, S., Berman, B., Bernard, B., Bhatt, A., Birol, I., Black, A., Bodenheimer, T., Bootwalla, M., Bowen, J., Bressler, R., Bristow, C., Brooks, A., Broom, B., Buda, E., Burton, R., Butterfield, Y., Carlin, D., Carter, S., Casasent, T., Chang, K., Chanock, S., Chin, L., Cho, D., Cho, J., Chuah, E., Chun, H., Cibulskis, K., Ciriello, G., Cleland, J., Cline, M., Craft, B., Creighton, C., Danilova, L., Davidsen, T., Davis, C., Dees, N., Delehaunty, K., Demchok, J., Dhalla, N., DiCara, D., Dinh, H., Dobson, J., Dodda, D., Doddapaneni, H., Donehower, L., Dooling, D., Dresdner, G., Drummond, J., Eakin, A., Edgerton, M., Eldred, J., Eley, G., Ellrott, K., Fan, C., Fei, S., Felau, I., Frazer, S., Freeman, S., Frick, J., Fronick, C., Fulton, L., Fulton, R., Gabriel, S., Gao, J., Gastier-Foster, J., Gehlenborg, N., George, M., Getz, G., Gibbs, R., Goldman, M., Gonzalez-Perez, A., Gross, B., Guin, R., Gunaratne, P., Hadjipanayis, A., Hamilton, M., Hamilton, S., Han, L., Han, Y., Harper, H., Haseley, P., Haussler, D., Hayes, D., Heiman, D., Helman, E., Helsel, C., Herbrich, S., Herman, J., Hinoue, T., Hirst, C., Hirst, M., Holt, R., Hoyle, A., Iype, L., Jacobsen, A., Jeffreys, S., Jensen, M., Jones, C., Jones, S., Ju, Z., Jung, J., Kahles, A., Kahn, A., Kalicki-Veizer, J., Kalra, D., Kanchi, K., Kane, D., Kim, H., Kim, J., Knijnenburg, T., Koboldt, D., Kovar, C., Kramer, R., Kreisberg, R., Kucherlapati, R., Ladanyi, M., Lander, E., Larson, D., Lawrence, M., Lee, D., Lee, E., Lee, S., Lee, W., Lehmann, K., Leinonen, K., Leraas, K., Lerner, S., Levine, D., Lewis, L., Ley, T., Li, H., Li, J., Li, W., Liang, H., Lichtenberg, T., Lin, J., Lin, L., Lin, P., Liu, W., Liu, Y., Lorenzi, P., Lu, C., Lu, Y., Luquette, L., Ma, S., Magrini, V., Mahadeshwar, H., Mardis, E., Marra, M., Mayo, M., McAllister, C., McGuire, S., McMichael, J., Melott, J., Meng, S., Meyerson, M., Mieczkowski, P., Miller, C., Miller, M., Moore, R., Morgan, M., Morton, D., Mose, L., Mungall, A., Muzny, D., Nguyen, L., Noble, M., Noushmehr, H., O'Laughlin, M., Ojesina, A., Yang, T., Ozenberger, B., Pantazi, A., Parfenov, M., Park, P., Parker, J., Paull, E., Pedamallu, C., Pihl, T., Pohl, C., Pot, D., Protopopov, A., Przytycka, T., Radenbaugh, A., Ramirez, N., Ramirez, R., Ratsch, G., Reid, J., Ren, X., Reva, B., Reynolds, S., Rhie, S., Roach, J., Rovira, H., Ryan, M., Saksena, G., Salama, S., Sander, C., Santoso, N., Schein, J., Schmidt, H., Schultz, N., Schumacher, S., Seidman, J., Senbabaoglu, Y., Seth, S., Sharpe, S., Shen, R., Sheth, M., Shi, Y., Shmulevich, I., Silva, G., Simons, J., Sinha, R., Sipahimalani, P., Smith, S., Sofia, H., Sokolov, A., Soloway, M., Song, X., Sougnez, C., Spellman, P., Staudt, L., Stewart, C., Stojanov, P., Su, X., Sumer, S., Sun, Y., Swatloski, T., Tabak, B., Tam, A., Tan, D., Tang, J., Tarnuzzer, R., Taylor, B., Thiessen, N., Thorsson, V., Triche, T., Van Den Berg, D., Vandin, F., Varhol, Richard, Vaske, C., Veluvolu, U., Verhaak, R., Voet, D., Walker, J., Wallis, J., Waltman, P., Wan, Y., Wang, M., Wang, W., Wang, Z., Waring, S., Weinhold, N., Weisenberger, D., Wendl, M., Wheeler, D., Wilkerson, M., Wilson, R., Wise, L., Wong, A., Wu, C., Wu, H., Wu, J., Wylie, T., Xi, L., Xi, R., Xia, Z., Xu, A., Yang, D., Yang, L., Yang, Y., Yao, J., Yao, R., Ye, K., Yoshihara, K., Yuan, Y., Yung, A., Zack, T., Zeng, D., Zenklusen, J., Zhang, H., Zhang, N., Zhang, Q., Zhang, W., Zhao, W., Zheng, S., Zhu, J., Zmuda, E., Zou, L., Hoadley, K., Yau, C., Wolf, D., Cherniack, A., Tamborero, D., Ng, S., Leiserson, M., Niu, B., McLellan, M., Uzunangelov, V., Zhang, J., Kandoth, C., Akbani, R., Shen, H., Omberg, L., Chu, A., Margolin, A., van't Veer, L., Lopez-Bigas, N., Laird, P., Raphael, B., Ding, L., Robertson, A., Byers, L., Mills, G., Weinstein, J., Van Waes, C., Chen, Z., Collisson, E., Benz, C., Perou, C., Stuart, J., Abbott, R., Abbott, S., Aksoy, B., Aldape, K., Ally, A., Amin, S., Anastassiou, D., Auman, J., Baggerly, K., Balasundaram, M., Balu, S., Baylin, S., Benz, S., Berman, B., Bernard, B., Bhatt, A., Birol, I., Black, A., Bodenheimer, T., Bootwalla, M., Bowen, J., Bressler, R., Bristow, C., Brooks, A., Broom, B., Buda, E., Burton, R., Butterfield, Y., Carlin, D., Carter, S., Casasent, T., Chang, K., Chanock, S., Chin, L., Cho, D., Cho, J., Chuah, E., Chun, H., Cibulskis, K., Ciriello, G., Cleland, J., Cline, M., Craft, B., Creighton, C., Danilova, L., Davidsen, T., Davis, C., Dees, N., Delehaunty, K., Demchok, J., Dhalla, N., DiCara, D., Dinh, H., Dobson, J., Dodda, D., Doddapaneni, H., Donehower, L., Dooling, D., Dresdner, G., Drummond, J., Eakin, A., Edgerton, M., Eldred, J., Eley, G., Ellrott, K., Fan, C., Fei, S., Felau, I., Frazer, S., Freeman, S., Frick, J., Fronick, C., Fulton, L., Fulton, R., Gabriel, S., Gao, J., Gastier-Foster, J., Gehlenborg, N., George, M., Getz, G., Gibbs, R., Goldman, M., Gonzalez-Perez, A., Gross, B., Guin, R., Gunaratne, P., Hadjipanayis, A., Hamilton, M., Hamilton, S., Han, L., Han, Y., Harper, H., Haseley, P., Haussler, D., Hayes, D., Heiman, D., Helman, E., Helsel, C., Herbrich, S., Herman, J., Hinoue, T., Hirst, C., Hirst, M., Holt, R., Hoyle, A., Iype, L., Jacobsen, A., Jeffreys, S., Jensen, M., Jones, C., Jones, S., Ju, Z., Jung, J., Kahles, A., Kahn, A., Kalicki-Veizer, J., Kalra, D., Kanchi, K., Kane, D., Kim, H., Kim, J., Knijnenburg, T., Koboldt, D., Kovar, C., Kramer, R., Kreisberg, R., Kucherlapati, R., Ladanyi, M., Lander, E., Larson, D., Lawrence, M., Lee, D., Lee, E., Lee, S., Lee, W., Lehmann, K., Leinonen, K., Leraas, K., Lerner, S., Levine, D., Lewis, L., Ley, T., Li, H., Li, J., Li, W., Liang, H., Lichtenberg, T., Lin, J., Lin, L., Lin, P., Liu, W., Liu, Y., Lorenzi, P., Lu, C., Lu, Y., Luquette, L., Ma, S., Magrini, V., Mahadeshwar, H., Mardis, E., Marra, M., Mayo, M., McAllister, C., McGuire, S., McMichael, J., Melott, J., Meng, S., Meyerson, M., Mieczkowski, P., Miller, C., Miller, M., Moore, R., Morgan, M., Morton, D., Mose, L., Mungall, A., Muzny, D., Nguyen, L., Noble, M., Noushmehr, H., O'Laughlin, M., Ojesina, A., Yang, T., Ozenberger, B., Pantazi, A., Parfenov, M., Park, P., Parker, J., Paull, E., Pedamallu, C., Pihl, T., Pohl, C., Pot, D., Protopopov, A., Przytycka, T., Radenbaugh, A., Ramirez, N., Ramirez, R., Ratsch, G., Reid, J., Ren, X., Reva, B., Reynolds, S., Rhie, S., Roach, J., Rovira, H., Ryan, M., Saksena, G., Salama, S., Sander, C., Santoso, N., Schein, J., Schmidt, H., Schultz, N., Schumacher, S., Seidman, J., Senbabaoglu, Y., Seth, S., Sharpe, S., Shen, R., Sheth, M., Shi, Y., Shmulevich, I., Silva, G., Simons, J., Sinha, R., Sipahimalani, P., Smith, S., Sofia, H., Sokolov, A., Soloway, M., Song, X., Sougnez, C., Spellman, P., Staudt, L., Stewart, C., Stojanov, P., Su, X., Sumer, S., Sun, Y., Swatloski, T., Tabak, B., Tam, A., Tan, D., Tang, J., Tarnuzzer, R., Taylor, B., Thiessen, N., Thorsson, V., Triche, T., Van Den Berg, D., Vandin, F., Varhol, Richard, Vaske, C., Veluvolu, U., Verhaak, R., Voet, D., Walker, J., Wallis, J., Waltman, P., Wan, Y., Wang, M., Wang, W., Wang, Z., Waring, S., Weinhold, N., Weisenberger, D., Wendl, M., Wheeler, D., Wilkerson, M., Wilson, R., Wise, L., Wong, A., Wu, C., Wu, H., Wu, J., Wylie, T., Xi, L., Xi, R., Xia, Z., Xu, A., Yang, D., Yang, L., Yang, Y., Yao, J., Yao, R., Ye, K., Yoshihara, K., Yuan, Y., Yung, A., Zack, T., Zeng, D., Zenklusen, J., Zhang, H., Zhang, N., Zhang, Q., Zhang, W., Zhao, W., Zheng, S., Zhu, J., Zmuda, E., and Zou, L.

Abstract

© 2014 Elsevier Inc. Recent genomic analyses of pathologically defined tumor types identify 'within-a-tissue' disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-oforigin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head and neck, and a subset of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pancancer subtypes. The multiplatform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All data sets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies.

Published
2014

5. Preparation and properties of spin-labeled lecithin-cholesterol liposomes.

Author

Dresdner, George and Dresdner, G

Subjects
CHOLESTEROL, COMPARATIVE studies, FREE radicals, LECITHIN, RESEARCH methodology, MEDICAL cooperation, ARTIFICIAL membranes, NUCLEAR magnetic resonance spectroscopy, RESEARCH, EVALUATION research
Abstract

Lecithin-cholesterol vesicles of various compositions containing membrane-bound spin-labeled cholestane can be prepared by appropriate choice of initial concentrations of components during sonication. Increasing incorporation of spin label increases incorporation of cholesterol and decreases incorporation of lecithin, with the result that liposomes with cholesterol-lecithin molar ratios larger than 2 can be obtained. Besides associating with cholesterol-lecithin complexes in the liposome, the spin label seems to associate with cholesterol. Changes of the paramagnetic resonance spectrum of the liposome-bound spin label due to changes in liposomal cholesterol and spin label mole fractions - assessed by three parameters - can be used in cell-liposome interaction studies. [ABSTRACT FROM AUTHOR]

Published
1982
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6. Binding and incorporation of lecithin-cholesterol vesicles to lymphocytes: a spin-label study.

Author

Dresdner, George, Hammarström, Lennart, Smith, C., Dresdner, G, Hammarström, L, and Smith, C I

Abstract

When lecithin-cholesterol vesicles, containing the membrane-bound spin probe 3-doxyl-cholestane, were set in contact with mouse lymphocytes, the vesicles adsorbed to the cell and vesicle-membrane components were transferred to it. The spin probe was enzymatically reduced at the inside of the cell membrane. The spin-label method provided a means to determine quantitatively the extent of vesicles adsorption and vesicle-cell fusion by measuring the transfer of vesicles membrane material to the cell. This method, together with the reduction of spin label by the cell, allowed also a quantitative estimate to the extent of endocytosis during cell-liposome interaction. [ABSTRACT FROM AUTHOR]

Published
1982
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7. Stochastic frank-wolfe for constrained finite-sum minimization

Author

Négiar, G., Dresdner, G., Yi-Ting Tsai, A., El Ghaoui, L., Francesco Locatello, Freund, R. M., and Pedregosa, F.

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Machine Learning (cs.LG)
Abstract

We propose a novel Stochastic Frank-Wolfe (a.k.a. conditional gradient) algorithm for constrained smooth finite-sum minimization with a generalized linear prediction/structure. This class of problems includes empirical risk minimization with sparse, low-rank, or other structured constraints. The proposed method is simple to implement, does not require step-size tuning, and has a constant per-iteration cost that is independent of the dataset size. Furthermore, as a byproduct of the method we obtain a stochastic estimator of the Frank-Wolfe gap that can be used as a stopping criterion. Depending on the setting, the proposed method matches or improves on the best computational guarantees for Stochastic Frank-Wolfe algorithms. Benchmarks on several datasets highlight different regimes in which the proposed method exhibits a faster empirical convergence than related methods. Finally, we provide an implementation of all considered methods in an open-source package., Proceedings of the 37th International Conference on Machine Learning, 2020

8. Comprehensive molecular profiling of lung adenocarcinoma

Author

Amie Radenbaugh, Noreen Dhalla, Christina Williamson, Charles Saller, James Suh, Ramaswamy Govindan, Travis I. Zack, Paul T. Spellman, Daniel DiCara, Harvey I. Pass, Deepak Srinivasan, William G. Richards, Robert J. Cerfolio, Igor Letovanec, A. Gordon Robertson, Gabriel Sica, Chad J. Creighton, Hendrik Dienemann, Jeffrey A. Borgia, Boris Reva, Bryan F. Meyers, Yiling Lu, Nikolaus Schultz, Christopher I. Amos, Dante Trusty, Carmelo Gaudioso, Michael Meister, James T. Robinson, Lihua Zou, James Shin, Jeremy Parfitt, Darlene Lee, Junyuan Wu, Carl Morrison, Scott L. Carter, Giovanni Ciriello, Nils Weinhold, Elena Nemirovich-Danchenko, Andrew Wei Xu, Christopher G. Maher, Lori Boice, Irina Zaytseva, Dennis A. Wigle, Kenna R. Mills Shaw, Matthew G. Soloway, Matthew Meyerson, Peng Chieh Chen, Frank Schneider, Troy Shelton, Douglas Voet, Steven E. Schumacher, D L Rotin, Saianand Balu, Stuart R. Jefferys, Tom Bodenheimer, Bradley A. Ozenberger, Eric S. Lander, Edward Gabrielson, Konstantin V. Fedosenko, Rehan Akbani, William D. Travis, Ari B. Kahn, Marcin Imielinski, Jacqueline E. Schein, Thomas L. Bauer, Kai Ye, Samuel A. Yousem, Robert C. Onofrio, Thomas Muley, Ayesha S. Bryant, Michael K. Asiedu, Monique Albert, Pei Lin, Corbin D. Jones, Edwina Duhig, Jean C. Zenklusen, Lucinda Fulton, Christina Yau, J. Todd Auman, Leigh B. Thorne, Elena Helman, Richard T. Cheney, William Lee, Patrick K. Kimes, Juok Cho, Alexei Protopopov, Wenbin Liu, Lee Lichtenstein, Jing Wang, Lixing Yang, W. Kimryn Rathmell, Jo Ellen Weaver, David A. Wheeler, Leslie Cope, Mark A. Watson, Heidi J. Sofia, Angeliki Pantazi, Ronglai Shen, Jeffrey Roach, Eric A. Collisson, Patrick Kwok Shing Ng, Angela Hadjipanayis, Peter S. Hammerman, David Van Den Berg, Kwun M. Fong, Nils Gehlenborg, Natasha Rekhtman, William K. Funkhouser, D. Neil Hayes, Harshad S. Mahadeshwar, Semin Lee, Martin Peifer, David Mallery, Piotr A. Mieczkowski, Ranabir Guin, Madhusmita Behera, Philipp A. Schnabel, Jill M. Siegfried, Carmen Gomez-Fernandez, Johanna Gardner, Lynn M. Herbert, Hailei Zhang, Robert S. Fulton, Travis Sullivan, Sahil Seth, Sam Ng, Chandra Sekhar Pedamallu, Barry S. Taylor, Venkatraman E. Seshan, Valerie W. Rusch, Jinze Liu, Daniel P. Raymond, Jianjiong Gao, Nathan A. Pennell, Marco A. Marra, Jan F. Prins, Payal Sipahimalani, Janae V. Simons, Joel S. Parker, Rileen Sinha, Lindy Hunter, Raju Kucherlapati, Dennis T. Maglinte, Fedor Moiseenko, Eric E. Snyder, Roy Tarnuzzer, Beverly Lee, James Stephen Marron, Kristian Cibulskis, Jerome Myers, Haiyan I. Li, Robert Penny, Hartmut Juhl, Richard K. Wilson, Zhining Wang, Eran Hodis, Carrie Sougnez, Jiabin Tang, William Mallard, Bryan Hernandez, Liming Yang, Jennifer Brown, Gad Getz, Farhad Kosari, Catrina Fronick, Juliann Chmielecki, Jianhua Zhang, Suresh S. Ramalingam, Michael Parfenov, Peter J. Park, Tanja Davidsen, Philip H. Lai, Jeff Boyd, Dang Huy Quoc Thinh, Harmanjatinder S. Sekhon, Malcolm V. Brock, Mark Pool, Margi Sheth, Kimberly M. Rieger-Christ, Michael J. Liptay, E. Getz, S. Onur Sumer, Ian A. Yang, B. Arman Aksoy, Douglas B. Flieder, Bradley M. Broom, Carrie Hirst, Solange Peters, Joshua M. Stuart, Khurram Z. Khan, Scott Morris, Donghui Tan, Andrew J. Mungall, Ming-Sound Tsao, Gordon B. Mills, Stephen B. Baylin, Rebecca Carlsen, Sanja Dacic, Julien Baboud, Brenda Rabeno, Richard A. Hajek, Lauren Averett Byers, Yaron S.N. Butterfield, Miruna Balasundaram, Chip Stewart, Katherine Tarvin, Peter B. Illei, James G. Herman, David J. Kwiatkowski, Andy Chu, David Haussler, Natasja Wye, Charles M. Perou, Peter W. Laird, Timothy J. Triche, Yan Shi, Jill P. Mesirov, Angela N. Brooks, Lori Huelsenbeck-Dill, Steven J.M. Jones, Antonia H. Holway, Lixia Diao, Anthony A. Gal, David G. Beer, Angela Tam, Ashley H. Salazar, Mark A. Jensen, Robert A. Holt, Katherine A. Hoadley, John A. Demchok, Sandra McDonald, Chandra Goparaju, David Pot, Belinda E. Clarke, Gordon Robertson, Michael C. Wendl, Helga Thorvaldsdottir, Kristen Rogers, Joshua D. Campbell, Chris Sander, Rayleen V. Bowman, Marc Danie Nazaire, Michael Mayo, Olga Voronina, Ludmila Danilova, Paul Zippile, Netty Santoso, John V. Heymach, Matthew D. Wilkerson, John Eckman, Morgan Windsor, Cureline Oleg Dolzhanskiy, Nina Thiessen, Mara Rosenberg, Gideon Dresdner, Levi A. Garraway, Eric Chuah, Richard Varhol, Elizabeth Buda, Li Ding, Alice H. Berger, Xingzhi Song, John M. S. Bartlett, Michael D. McLellan, Olga Potapova, Joseph Paulauskis, Igor Jurisica, Benjamin Gross, Jaegil Kim, John N. Weinstein, Kevin Lau, Christopher R. Cabanski, Philip Bonomi, Michael S. Noble, Maureen F. Zakowski, George E. Sandusky, Mary Iacocca, Eric J. Burks, Erin Curley, Lynda Chin, Rajiv Dhir, Singer Ma, Sophie C. Egea, Umadevi Veluvolu, Sugy Kodeeswaran, Christopher A. Miller, Moiz S. Bootwalla, Daniel J. Weisenberger, Shaowu Meng, Mei Huang, Elaine R. Mardis, Gordon Saksena, Nicholas J. Petrelli, Yvonne Owusu-Sarpong, Christopher C. Benz, Bernard Kohl, Jingchun Zhu, David I. Heiman, Carol Farver, Scot Waring, Richard A. Moore, Darshan Singh, Andrew D. Cherniack, Rameen Beroukhim, Michael S. Lawrence, Xiaojia Ren, Marc Ladanyi, Stacey Gabriel, Christine Czerwinski, Alan P. Hoyle, Cancer Genome Atlas Research Network, Collisson, E. A., Campbell, J.D., Brooks, A.N., Berger, A.H., Lee, W., Chmielecki, J., Beer, D.G., Cope, L., Creighton, C.J., Danilova, L., Ding, L., Getz, G., Hammerman, P.S., Hayes, D.N., Hernandez, B., Herman, J.G., Heymach, J.V., Jurisica, I., Kucherlapati, R., Kwiatkowski, D., Ladanyi, M., Robertson, G., Schultz, N., Shen, R., Sinha, R., Sougnez, C., Tsao, M.S., Travis, W.D., Weinstein, J.N., Wigle, D.A., Wilkerson, M.D., Chu, A., Cherniack, A.D., Hadjipanayis, A., Rosenberg, M., Weisenberger, D.J., Laird, P.W., Radenbaugh, A., Ma, S., Stuart, J.M., Averett Byers, L., Baylin, S.B., Govindan, R., Meyerson, M., Gabriel, S.B., Cibulskis, K., Kim, J., Stewart, C., Lichtenstein, L., Lander, E.S., Lawrence, M.S., Kandoth, C., Fulton, R., Fulton, L.L., McLellan, M.D., Wilson, R.K., Ye, K., Fronick, C.C., Maher, C.A., Miller, C.A., Wendl, M.C., Cabanski, C., Mardis, E., Wheeler, D., Balasundaram, M., Butterfield, Y.S., Carlsen, R., Chuah, E., Dhalla, N., Guin, R., Hirst, C., Lee, D., Li, H.I., Mayo, M., Moore, R.A., Mungall, A.J., Schein, J.E., Sipahimalani, P., Tam, A., Varhol, R., Robertson, A., Wye, N., Thiessen, N., Holt, R.A., Jones, S.J., Marra, M.A., Imielinski, M., Onofrio, R.C., Hodis, E., Zack, T., Helman, E., Sekhar Pedamallu, C., Mesirov, J., Saksena, G., Schumacher, S.E., Carter, S.L., Garraway, L., Beroukhim, R., Lee, S., Mahadeshwar, H.S., Pantazi, A., Protopopov, A., Ren, X., Seth, S., Song, X., Tang, J., Yang, L., Zhang, J., Chen, P.C., Parfenov, M., Wei Xu, A., Santoso, N., Chin, L., Park, P.J., Hoadley, K.A., Auman, J.T., Meng, S., Shi, Y., Buda, E., Waring, S., Veluvolu, U., Tan, D., Mieczkowski, P.A., Jones, C.D., Simons, J.V., Soloway, M.G., Bodenheimer, T., Jefferys, S.R., Roach, J., Hoyle, A.P., Wu, J., Balu, S., Singh, D., Prins, J.F., Marron, J.S., Parker, J.S., Perou, C.M., Liu, J., Maglinte, D.T., Lai, P.H., Bootwalla, M.S., Van Den Berg, D.J., Triche, T., Cho, J., DiCara, D., Heiman, D., Lin, P., Mallard, W., Voet, D., Zhang, H., Zou, L., Noble, M.S., Gehlenborg, N., Thorvaldsdottir, H., Nazaire, M.D., Robinson, J., Aksoy, B.A., Ciriello, G., Taylor, B.S., Dresdner, G., Gao, J., Gross, B., Seshan, V.E., Reva, B., Sumer, S.O., Weinhold, N., Sander, C., Ng, S., Zhu, J., Benz, C.C., Yau, C., Haussler, D., Spellman, P.T., Kimes, P.K., Broom, B.M., Wang, J., Lu, Y., Kwok Shing Ng, P., Diao, L., Liu, W., Amos, C.I., Akbani, R., Mills, G.B., Curley, E., Paulauskis, J., Lau, K., Morris, S., Shelton, T., Mallery, D., Gardner, J., Penny, R., Saller, C., Tarvin, K., Richards, W.G., Cerfolio, R., Bryant, A., Raymond, D.P., Pennell, N.A., Farver, C., Czerwinski, C., Huelsenbeck-Dill, L., Iacocca, M., Petrelli, N., Rabeno, B., Brown, J., Bauer, T., Dolzhanskiy, O., Potapova, O., Rotin, D., Voronina, O., Nemirovich-Danchenko, E., Fedosenko, K.V., Gal, A., Behera, M., Ramalingam, S.S., Sica, G., Flieder, D., Boyd, J., Weaver, J., Kohl, B., Huy Quoc Thinh, D., Sandusky, G., Juhl, H., Duhig, E., Illei, P., Gabrielson, E., Shin, J., Lee, B., Rodgers, K., Trusty, D., Brock, M.V., Williamson, C., Burks, E., Rieger-Christ, K., Holway, A., Sullivan, T., Asiedu, M.K., Kosari, F., Rekhtman, N., Zakowski, M., Rusch, V.W., Zippile, P., Suh, J., Pass, H., Goparaju, C., Owusu-Sarpong, Y., Bartlett, J.M., Kodeeswaran, S., Parfitt, J., Sekhon, H., Albert, M., Eckman, J., Myers, J.B., Cheney, R., Morrison, C., Gaudioso, C., Borgia, J.A., Bonomi, P., Pool, M., Liptay, M.J., Moiseenko, F., Zaytseva, I., Dienemann, H., Meister, M., Schnabel, P.A., Muley, T.R., Peifer, M., Gomez-Fernandez, C., Herbert, L., Egea, S., Huang, M., Thorne, L.B., Boice, L., Hill Salazar, A., Funkhouser, W.K., Rathmell, W.K., Dhir, R., Yousem, S.A., Dacic, S., Schneider, F., Siegfried, J.M., Hajek, R., Watson, M.A., McDonald, S., Meyers, B., Clarke, B., Yang, I.A., Fong, K.M., Hunter, L., Windsor, M., Bowman, R.V., Peters, S., Letovanec, I., Khan, K.Z., Jensen, M.A., Snyder, E.E., Srinivasan, D., Kahn, A.B., Baboud, J., Pot, D.A., Mills Shaw, K.R., Sheth, M., Davidsen, T., Demchok, J.A., Wang, Z., Tarnuzzer, R., Zenklusen, J.C., Ozenberger, B.A., Sofia, H.J., Massachusetts Institute of Technology. Department of Biology, and Lander, Eric S.

Subjects
Male, Lung Neoplasms, Adenocarcinoma/genetics, Adenocarcinoma/pathology, Cell Cycle Proteins/genetics, Female, Gene Dosage, Gene Expression Regulation, Neoplastic, Genomics, Humans, Lung Neoplasms/genetics, Lung Neoplasms/pathology, Molecular Typing, Mutation/genetics, Oncogenes/genetics, Sex Factors, Transcriptome/genetics, Adenocarcinoma of Lung, Cell Cycle Proteins, Biology, Adenocarcinoma, Exon, Germline mutation, microRNA, Adenocarcinoma of the lung, medicine, Gene, Multidisciplinary, Oncogene, Oncogenes, medicine.disease, MET Exon 14 Skipping Mutation, Molecular biology, 3. Good health, Mutation, Transcriptome
Abstract

Adenocarcinoma of the lung is the leading cause of cancer death worldwide. Here we report molecular profiling of 230 resected lung adenocarcinomas using messenger RNA, microRNA and DNA sequencing integrated with copy number, methylation and proteomic analyses. High rates of somatic mutation were seen (mean 8.9 mutations per megabase). Eighteen genes were statistically significantly mutated, including RIT1 activating mutations and newly described loss-of-function MGA mutations which are mutually exclusive with focal MYC amplification. EGFR mutations were more frequent in female patients, whereas mutations in RBM10 were more common in males. Aberrations in NF1, MET, ERBB2 and RIT1 occurred in 13% of cases and were enriched in samples otherwise lacking an activated oncogene, suggesting a driver role for these events in certain tumours. DNA and mRNA sequence from the same tumour highlighted splicing alterations driven by somatic genomic changes, including exon 14 skipping in MET mRNA in 4% of cases. MAPK and PI(3)K pathway activity, when measured at the protein level, was explained by known mutations in only a fraction of cases, suggesting additional, unexplained mechanisms of pathway activation. These data establish a foundation for classification and further investigations of lung adenocarcinoma molecular pathogenesis.

Published
2013

9. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

Author

Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Sun Y, Jacobsen A, Sinha R, Larsson E, Cerami E, Sander C, and Schultz N

Subjects
Humans, Internet, Neoplasms pathology, Reproducibility of Results, Software, Gene Expression Profiling, Gene Regulatory Networks, Genetic Predisposition to Disease genetics, Genomics, Information Storage and Retrieval methods, Neoplasms genetics
Abstract

The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.

Published
2013
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11. Is cholesterol the receptor for polyene antibiotic-induced B-lymphocyte activation.

Author

Hammarström L, Smith CI, and Dresdner G

Subjects
Animals, B-Lymphocytes classification, B-Lymphocytes drug effects, Cholesterol immunology, Digitonin pharmacology, Drug Interactions, Male, Mice, Polyenes immunology, Tomatine pharmacology, B-Lymphocytes immunology, Cholesterol pharmacology, Lymphocyte Activation, Membrane Lipids metabolism, Polyenes pharmacology, Receptors, Immunologic
Published
1980
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12. Study of the bovine erythrocyte. Enzymatic activities of the cell and its membrane.

Author

Dresdner GW, Hein S, and Siegmund-Montefusco I

Subjects
Acetylcholinesterase blood, Acid Phosphatase blood, Alkaline Phosphatase blood, Animals, Aspartate Aminotransferases blood, Blood Proteins analysis, Cattle, Cell Membrane analysis, Cell Membrane enzymology, Cell Membrane ultrastructure, Creatine Kinase blood, Drug Stability, Electrophoresis, Disc, Erythrocytes analysis, Fructose-Bisphosphate Aldolase blood, Glucose-6-Phosphate Isomerase blood, Glucosephosphate Dehydrogenase blood, Hydrogen-Ion Concentration, Isocitrate Dehydrogenase blood, Kinetics, Malate Dehydrogenase blood, Microscopy, Electron, Spectrophotometry, Ultraviolet, Time Factors, Erythrocytes enzymology
Published
1974
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13. Effect of various culturing conditions of Acholeplasma laidlawii on the yield and properties of the cells and cell membrane.

Author

Dresdner G

Subjects
Acholeplasma laidlawii analysis, Aerobiosis, Bacterial Proteins analysis, Carotenoids analysis, Cell Membrane analysis, Flavins analysis, Acholeplasma laidlawii growth & development, Culture Media, Temperature
Abstract

Acholeplasma laidlawii strain B cell cultured in complex medium have an optimal temperature of growth at 31 degrees. Maximal growth at this temperature is 80% higher than at 37 degrees. By stirring of the culture, the yield of the cell mass of 4 liter-cultures increases by 200%. With these modifications the yield of cell membranes increases 3--4 times with respect to that of static culturing at 37 degrees. Membranes obtained from better aerated cultures have a lower flavin and carotenoid content. Membranes obtained from agitated cultures show a higher content of the more insoluble membrane-core proteins. It is suggested that these proteins play a role in membrane and cell adhesiveness.

Published
1977

14. Wide-angle x-ray-diffraction studies of the bovine-erythrocyte membrane. Treatment with sodium chloride, deoxycholate, and lipid solvents.

Author

Dresdner GW, Cid-Dresdner H, Meza L, and Cardemil E

Subjects
Animals, Blood Proteins analysis, Cattle, Cell Membrane ultrastructure, Cholesterol blood, Copper, Densitometry, Deoxycholic Acid, Egg Yolk, Erythrocytes ultrastructure, Female, Lipids analysis, Molecular Conformation, Phosphatidylcholines, Phospholipids blood, Sodium Chloride, Sphingomyelins, Time Factors, Water, X-Ray Diffraction, Cell Membrane analysis, Erythrocytes analysis
Published
1974
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15. Rapid spectrophotometric determination of Acholeplasma laidlawii membranes.

Author

Dresdner G

Subjects
Acholeplasma laidlawii analysis, Membranes analysis, Spectrophotometry, Ultraviolet, Acholeplasma laidlawii ultrastructure, Membrane Proteins analysis
Abstract

The amount of Acholeplasma laidlawii membranes can be accurately, rapidly, and simply determined by spectrophotometric measurements after solubilization in 0.02 M SDS, 0.02 M Tris-HCl (pH 8.0). Extinction coefficients from the 260- to 300-nm-absorption region are adequate for quantitative membrane determination. The following values were found: E1%1cm,280 = 9.11 +/- 0.63, E1%,S1cm,280 = 8.52 +/- 0.40 (corrected for light scattering), E1%1cm,280--310 = 8.15 +/- 0.35. The last value is the most satisfactory for routine analysis. These coefficients are not affected by large differences in the carotene and flavin contents of the membranes or by spectral changes that occur when the membranes are exposed to light. The precision obtained with this method is comparable with that achieved in spectrophotometric determinations of proteins. As little as 6 microgram of membrane can be measured in 50-microliter samples.

Published
1978
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16. Tween 20-soluble membrane proteins of a Choleplasma laidlawii. Fractionation in the presence of a tween 20 concentration slightly above its critical micelle concentration and in the absence of detergent by means of agarose-suspension electrophoresis.

Author

Dresdner G and Cid-Dresdner H

Subjects
Bacterial Proteins chemistry, Electrophoresis, Agar Gel methods, Membrane Proteins chemistry, Micelles, Acholeplasma laidlawii chemistry, Bacterial Proteins isolation & purification, Membrane Proteins isolation & purification, Polysorbates chemistry
Published
1976
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17. The removal of the neutral detergent Tween 20 from solubilized membrane proteins of Acholeplasma laidlawii and other proteins by agarose-suspension electrophoresis.

Author

Dresdner G and Cid-Dresdner H

Subjects
Electrophoresis, Agar Gel methods, Solubility, Spectrophotometry, Ultraviolet, Surface Tension, Acholeplasma laidlawii analysis, Membrane Proteins isolation & purification, Polyethylene Glycols, Polysorbates, Proteins isolation & purification
Published
1977
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20. Core polymers of casein micelles.

Author

Waugh DF, Creamer LK, Slattery CW, and Dresdner GW

Subjects
Animals, Calcium, Cattle, Chemical Phenomena, Chemical Precipitation, Chemistry, Cold Temperature, Electrophoresis, Hydrogen-Ion Concentration, Mathematics, Milk, Molecular Weight, Osmolar Concentration, Sodium Chloride, Solvents, Ultracentrifugation, Viscosity, Caseins, Polymers
Published
1970
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