21 results on '"Daga N"'
Search Results
2. GRaNIE and GRaNPA: inference and evaluation of enhancer-mediated gene regulatory networks
- Author
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Kamal, A., Arnold, C., Claringbould, A., Moussa, R., Servaas, N.H., Kholmatov, M., Daga, N., Nogina, D., Mueller-Dott, S., Reyes-Palomares, A., Palla, G., Sigalova, O., Bunina, D., Pabst, C., and Zaugg, J.B.
- Subjects
Cardiovascular and Metabolic Diseases - Abstract
Enhancers play a vital role in gene regulation and are critical in mediating the impact of noncoding genetic variants associated with complex traits. Enhancer activity is a cell-type-specific process regulated by transcription factors (TFs), epigenetic mechanisms and genetic variants. Despite the strong mechanistic link between TFs and enhancers, we currently lack a framework for jointly analysing them in cell-type-specific gene regulatory networks (GRN). Equally important, we lack an unbiased way of assessing the biological significance of inferred GRNs since no complete ground truth exists. To address these gaps, we present GRaNIE (Gene Regulatory Network Inference including Enhancers) and GRaNPA (Gene Regulatory Network Performance Analysis). GRaNIE (https://git.embl.de/grp-zaugg/GR aNIE) builds enhancer-mediated GRNs based on covariation of chromatin accessibility and RNA-seq across samples (e.g. individuals), while GRaNPA (https://git.embl.de/grp-zaugg/GRaNPA) assesses the performance of GRNs for predicting cell-type-specific differential expression. We demonstrate their power by investigating gene regulatory mechanisms underlying the response of macrophages to infection, cancer and common genetic traits including autoimmune diseases. Finally, our methods identify the TF PURA as a putative regulator of pro-inflammatory macrophage polarisation.
- Published
- 2023
3. The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases
- Author
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Bultet, LA, Aguilar-Rodriguez, J, Ahrens, CH, Ahrne, EL, Ai, N, Aimo, L, Akalin, A, Aleksiev, T, Alocci, D, Altenhoff, A, Alves, I, Ambrosini, G, Pedone, PA, Angelina, P, Anisimova, M, Appel, R, Argoud-Puy, G, Arnold, K, Arpat, B, Artimo, P, Ascencao, K, Auchincloss, A, Axelsen, K, Gerritsen, VB, Bairoch, A, Barisal, P, Baratin, D, Barbato, A, Barbie, V, Barras, D, Barreiro, M, Barret, S, Bastian, F, Batista Neto, TM, Baudis, M, Beaudoing, E, Beckmann, JS, Bekkar, AK, Cammoun, LBH, Benmohammed, S, Bernard, M, Bertelli, C, Bertoni, M, Bienert, S, Bignucolo, O, Bilbao, A, Bilican, A, Blank, D, Blatter, M-C, Blum, L, Bocquet, J, Boeckmann, B, Bolleman, JT, Bordoli, L, Bosshard, L, Boucher, G, Bougueleret, L, Boutet, E, Bovigny, C, Bratulic, S, Breuza, L, Bridge, AJ, Britan, A, Brito, F, Frazao, JB, Bruggmann, R, Bucher, P, Burdet, F, Burger, L, Cabello, EM, Gomez, RMC, Calderon, S, Cannarozzi, G, Carl, S, Casas, CC, Catherinet, S, Perier, RC, Charpilloz, C, Chaskar, PD, Chen, W, Pepe, AC, Chopard, B, Chu, HY, Civic, N, Claassen, M, Clottu, S, Colombo, M, Cosandier, I, Coudert, E, Crespo, I, Creus, M, Cuche, B, Cuendet, MA, Cusin, I, Daga, N, Daina, A, Dauvillier, J, David, F, Davydov, I, Ferreira, MDSRM, de Beer, T, de Castro, E, de Santana, C, Delafontaine, J, Delorenzi, M, Delucinge-Vivier, C, Demirel, O, Derham, R, Dermitzakis, EM, Dib, L, Diene, S, Dilek, N, Dilmi, J, Domagalski, MJ, Dorier, J, Dornevil, D, Dousse, A, Dreos, R, Duchen, P, Roggli, PD, Duperret, ID, Durinx, C, Duvaud, S, Engler, R, Frkek, S, Lopez, PE, Fstreicher, A, Excoffier, L, Fabbretti, R, Falcone, J-L, Falquet, L, Famiglietti, ML, Ferreira, A-M, Feuermann, M, Filliettaz, M, Hegel, V, Foucal, A, Franceschini, A, Fucile, G, Gaidatzis, D, Garcia, V, Gasteiger, E, Gateau, A, Gatti, L, Gaudet, P, Gaudinat, A, Gehant, S, Gfeller, D, Gharib, WH, Ghraichy, M, Gidoin, C, Gil, M, Gleizes, A, Gobeill, J, Gonnet, G, Gos, A, Gotz, L, Gouy, A, Grbic, D, Groux, R, Gruaz-Gumowski, N, Grun, D, Gschwind, A, Guex, N, Gupta, S, Getaz, M, Haake, D, Haas, J, Hatzimanikatis, V, Heckel, G, Gardiol, DFH, Hinard, V, Hinz, U, Homicsko, K, Horlacher, O, Hosseini, S-R, Hotz, H-R, Hulo, C, Hundsrucker, C, Ibberson, M, Ilmjarv, S, Ioannidis, V, Ioannidis, P, Iseli, C, Ivanek, R, Iwaszkiewicz, J, Jacquet, P, Jacquot, M, Jagannathan, V, Jan, M, Jensen, J, Johansson, MU, Johner, N, Jungo, F, Junier, T, Kahraman, A, Katsantoni, M, Keller, G, Kerhornou, A, Khalid, F, Klingbiel, D, Kimljenovic, A, Kriventseva, E, Kryuchkova, N, Kumar, S, Kutalik, Z, Kuznetsov, D, Kuzyakiv, R, Lane, L, Lara, V, Ledesma, L, Leleu, M, Lemercier, P, Lew, D, Lieberherr, D, Liechti, R, Lisacek, F, Fischer, H, Litsios, G, Liu, J, Lombardot, T, Mace, A, Maffioletti, S, Mahi, M-A, Maiolo, M, Majjigapu, SR, Malmstrom, L, Mangold, V, Marek, D, Mariethoz, J, Marin, R, Martin, O, Martin, X, Martin-Campos, T, Mary, C, Masclaux, F, Masson, P, Meier, C, Messina, A, Lenoir, MM, Meyer, X, Michel, P-A, Michielin, O, Milanese, A, Missiaglia, E, Perez, JM, Caria, VM, Moret, P, Moretti, S, Morgat, A, Mottaz, A, Mottin, L, Mouscaz, Y, Mueller, M, Murri, R, Mylonas, R, Neuenschwander, S, Nikitin, F, Niknejad, A, Nouspikel, N, Nso, LN, Okoniewski, M, Omasits, U, Paccaud, B, Pachkov, M, Paesano, SG, Pagni, M, Palagi, PM, Pasche, E, Payne, JL, Pedruzzi, I, Peischl, S, Peitsch, M, Perlini, S, Pilbout, S, Podvinec, M, Pohlmann, R, Polizzi, D, Potter, D, Poux, S, Pozzato, M, Pradervand, S, Praz, V, Pruess, M, Pujadas, E, Racle, J, Raschi, M, Ratib, O, Rausell, A, de Laval, VR, Redaschi, N, Rempfer, C, Ren, G, Vandati, RAR, Rib, L, Grognuz, OR, Altimiras, ER, Rivoire, C, Robin, T, Robinson-Rechavi, M, Rodrigues, J, Roechert, B, Roelli, P, Romano, V, Rossier, G, Roth, A, Rougemont, J, Roux, J, Royo, H, Ruch, P, Ruinelli, M, Rustom, M, Sates, A, Roehrig, UF, Rueeger, S, Salamin, N, Sankar, M, Sarkar, N, Saxenhofer, M, Schaeffer, M, Schaerli, Y, Schaper, E, Schmid, A, Schmid, E, Schmid, C, Schmid, M, Schmidt, S, Schmocker, D, Schneider, M, Schuepbach, T, Schwede, T, Schuetz, F, Sengstag, T, Serrano, M, Sethi, A, Shahmirzadi, O, Sigrist, C, Silvestro, D, Simao Neto, FA, Simillion, C, Simonovic, M, Skunca, N, Sluzek, K, Soneson, C, Sprouffske, K, Stadler, M, Staehli, S, Stevenson, B, Stockinger, H, Straszewski, J, Stricker, T, Studer, G, Stutz, A, Suffiotti, M, Sundaram, S, Szklarczyk, D, Szovenyi, P, Tegenfeldt, F, Teixeira, D, Tellenbach, S, Smith, AAT, Tognolli, M, Topolsky, I, Thuong, VDT, Tsantoulis, P, Tzika, AC, Agote, AU, van Nimwegen, E, von Mering, C, Varadarajan, A, Veranneman, M, Verbregue, L, Veuthey, A-L, Vishnyakova, D, Vyas, R, Wagner, A, Walther, D, Wan, HW, Wang, M, Waterhouse, R, Waterhouse, A, Wicki, A, Wigger, L, Wirapati, P, Witschi, U, Wyder, S, Wyler, K, Wuethrich, D, Xenarios, I, Yamada, K, Yan, Z, Yasrebi, H, Zahn, M, Zangger, N, Zdobnov, E, Zerzion, D, Zoete, V, Zoller, S, Bultet, LA, Aguilar-Rodriguez, J, Ahrens, CH, Ahrne, EL, Ai, N, Aimo, L, Akalin, A, Aleksiev, T, Alocci, D, Altenhoff, A, Alves, I, Ambrosini, G, Pedone, PA, Angelina, P, Anisimova, M, Appel, R, Argoud-Puy, G, Arnold, K, Arpat, B, Artimo, P, Ascencao, K, Auchincloss, A, Axelsen, K, Gerritsen, VB, Bairoch, A, Barisal, P, Baratin, D, Barbato, A, Barbie, V, Barras, D, Barreiro, M, Barret, S, Bastian, F, Batista Neto, TM, Baudis, M, Beaudoing, E, Beckmann, JS, Bekkar, AK, Cammoun, LBH, Benmohammed, S, Bernard, M, Bertelli, C, Bertoni, M, Bienert, S, Bignucolo, O, Bilbao, A, Bilican, A, Blank, D, Blatter, M-C, Blum, L, Bocquet, J, Boeckmann, B, Bolleman, JT, Bordoli, L, Bosshard, L, Boucher, G, Bougueleret, L, Boutet, E, Bovigny, C, Bratulic, S, Breuza, L, Bridge, AJ, Britan, A, Brito, F, Frazao, JB, Bruggmann, R, Bucher, P, Burdet, F, Burger, L, Cabello, EM, Gomez, RMC, Calderon, S, Cannarozzi, G, Carl, S, Casas, CC, Catherinet, S, Perier, RC, Charpilloz, C, Chaskar, PD, Chen, W, Pepe, AC, Chopard, B, Chu, HY, Civic, N, Claassen, M, Clottu, S, Colombo, M, Cosandier, I, Coudert, E, Crespo, I, Creus, M, Cuche, B, Cuendet, MA, Cusin, I, Daga, N, Daina, A, Dauvillier, J, David, F, Davydov, I, Ferreira, MDSRM, de Beer, T, de Castro, E, de Santana, C, Delafontaine, J, Delorenzi, M, Delucinge-Vivier, C, Demirel, O, Derham, R, Dermitzakis, EM, Dib, L, Diene, S, Dilek, N, Dilmi, J, Domagalski, MJ, Dorier, J, Dornevil, D, Dousse, A, Dreos, R, Duchen, P, Roggli, PD, Duperret, ID, Durinx, C, Duvaud, S, Engler, R, Frkek, S, Lopez, PE, Fstreicher, A, Excoffier, L, Fabbretti, R, Falcone, J-L, Falquet, L, Famiglietti, ML, Ferreira, A-M, Feuermann, M, Filliettaz, M, Hegel, V, Foucal, A, Franceschini, A, Fucile, G, Gaidatzis, D, Garcia, V, Gasteiger, E, Gateau, A, Gatti, L, Gaudet, P, Gaudinat, A, Gehant, S, Gfeller, D, Gharib, WH, Ghraichy, M, Gidoin, C, Gil, M, Gleizes, A, Gobeill, J, Gonnet, G, Gos, A, Gotz, L, Gouy, A, Grbic, D, Groux, R, Gruaz-Gumowski, N, Grun, D, Gschwind, A, Guex, N, Gupta, S, Getaz, M, Haake, D, Haas, J, Hatzimanikatis, V, Heckel, G, Gardiol, DFH, Hinard, V, Hinz, U, Homicsko, K, Horlacher, O, Hosseini, S-R, Hotz, H-R, Hulo, C, Hundsrucker, C, Ibberson, M, Ilmjarv, S, Ioannidis, V, Ioannidis, P, Iseli, C, Ivanek, R, Iwaszkiewicz, J, Jacquet, P, Jacquot, M, Jagannathan, V, Jan, M, Jensen, J, Johansson, MU, Johner, N, Jungo, F, Junier, T, Kahraman, A, Katsantoni, M, Keller, G, Kerhornou, A, Khalid, F, Klingbiel, D, Kimljenovic, A, Kriventseva, E, Kryuchkova, N, Kumar, S, Kutalik, Z, Kuznetsov, D, Kuzyakiv, R, Lane, L, Lara, V, Ledesma, L, Leleu, M, Lemercier, P, Lew, D, Lieberherr, D, Liechti, R, Lisacek, F, Fischer, H, Litsios, G, Liu, J, Lombardot, T, Mace, A, Maffioletti, S, Mahi, M-A, Maiolo, M, Majjigapu, SR, Malmstrom, L, Mangold, V, Marek, D, Mariethoz, J, Marin, R, Martin, O, Martin, X, Martin-Campos, T, Mary, C, Masclaux, F, Masson, P, Meier, C, Messina, A, Lenoir, MM, Meyer, X, Michel, P-A, Michielin, O, Milanese, A, Missiaglia, E, Perez, JM, Caria, VM, Moret, P, Moretti, S, Morgat, A, Mottaz, A, Mottin, L, Mouscaz, Y, Mueller, M, Murri, R, Mylonas, R, Neuenschwander, S, Nikitin, F, Niknejad, A, Nouspikel, N, Nso, LN, Okoniewski, M, Omasits, U, Paccaud, B, Pachkov, M, Paesano, SG, Pagni, M, Palagi, PM, Pasche, E, Payne, JL, Pedruzzi, I, Peischl, S, Peitsch, M, Perlini, S, Pilbout, S, Podvinec, M, Pohlmann, R, Polizzi, D, Potter, D, Poux, S, Pozzato, M, Pradervand, S, Praz, V, Pruess, M, Pujadas, E, Racle, J, Raschi, M, Ratib, O, Rausell, A, de Laval, VR, Redaschi, N, Rempfer, C, Ren, G, Vandati, RAR, Rib, L, Grognuz, OR, Altimiras, ER, Rivoire, C, Robin, T, Robinson-Rechavi, M, Rodrigues, J, Roechert, B, Roelli, P, Romano, V, Rossier, G, Roth, A, Rougemont, J, Roux, J, Royo, H, Ruch, P, Ruinelli, M, Rustom, M, Sates, A, Roehrig, UF, Rueeger, S, Salamin, N, Sankar, M, Sarkar, N, Saxenhofer, M, Schaeffer, M, Schaerli, Y, Schaper, E, Schmid, A, Schmid, E, Schmid, C, Schmid, M, Schmidt, S, Schmocker, D, Schneider, M, Schuepbach, T, Schwede, T, Schuetz, F, Sengstag, T, Serrano, M, Sethi, A, Shahmirzadi, O, Sigrist, C, Silvestro, D, Simao Neto, FA, Simillion, C, Simonovic, M, Skunca, N, Sluzek, K, Soneson, C, Sprouffske, K, Stadler, M, Staehli, S, Stevenson, B, Stockinger, H, Straszewski, J, Stricker, T, Studer, G, Stutz, A, Suffiotti, M, Sundaram, S, Szklarczyk, D, Szovenyi, P, Tegenfeldt, F, Teixeira, D, Tellenbach, S, Smith, AAT, Tognolli, M, Topolsky, I, Thuong, VDT, Tsantoulis, P, Tzika, AC, Agote, AU, van Nimwegen, E, von Mering, C, Varadarajan, A, Veranneman, M, Verbregue, L, Veuthey, A-L, Vishnyakova, D, Vyas, R, Wagner, A, Walther, D, Wan, HW, Wang, M, Waterhouse, R, Waterhouse, A, Wicki, A, Wigger, L, Wirapati, P, Witschi, U, Wyder, S, Wyler, K, Wuethrich, D, Xenarios, I, Yamada, K, Yan, Z, Yasrebi, H, Zahn, M, Zangger, N, Zdobnov, E, Zerzion, D, Zoete, V, and Zoller, S
- Abstract
The SIB Swiss Institute of Bioinformatics (www.isb-sib.ch) provides world-class bioinformatics databases, software tools, services and training to the international life science community in academia and industry. These solutions allow life scientists to turn the exponentially growing amount of data into knowledge. Here, we provide an overview of SIB's resources and competence areas, with a strong focus on curated databases and SIB's most popular and widely used resources. In particular, SIB's Bioinformatics resource portal ExPASy features over 150 resources, including UniProtKB/Swiss-Prot, ENZYME, PROSITE, neXtProt, STRING, UniCarbKB, SugarBindDB, SwissRegulon, EPD, arrayMap, Bgee, SWISS-MODEL Repository, OMA, OrthoDB and other databases, which are briefly described in this article.
- Published
- 2016
4. Challenges in Designing Fibers and Operating High Power CW and Pulsed Fiber Lasers
- Author
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Ghiringhelli, F., primary, Welch, M., additional, Malinowski, A., additional, Daga, N., additional, Codemard, C. A., additional, Durkin, M. K., additional, and Zervas, M. N., additional
- Published
- 2014
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5. Human TYK2 pseudokinase domain bound to a kinase inhibitor
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Elkins, J.M., primary, Wang, J., additional, Krojer, T., additional, Savitsky, P., additional, Chalk, R., additional, Daga, N., additional, Salah, E., additional, Berridge, G., additional, Picaud, S., additional, von Delft, F., additional, Bountra, C., additional, Edwards, A., additional, and Knapp, S., additional
- Published
- 2013
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6. CRYSTAL STRUCTURE OF THE HUMAN CDKL2 KINASE DOMAIN WITH BOUND TCS 2312
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Canning, P., primary, Elkins, J.M., additional, Cooper, C.D.O., additional, Mahajan, P., additional, Daga, N., additional, Berridge, G., additional, Burgess-Brown, N., additional, Muniz, J.R.C., additional, Krojer, T., additional, Arrowsmith, C.H., additional, Edwards, A.M., additional, Bountra, C., additional, von Delft, F., additional, and Bullock, A., additional
- Published
- 2012
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7. Crystal structure of the human CDKL2 kinase domain
- Author
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Canning, P., primary, Vollmar, M., additional, Cooper, C.D.O., additional, Mahajan, P., additional, Daga, N., additional, Berridge, G., additional, Burgess-Brown, N., additional, Muniz, J.R.C., additional, Krojer, T., additional, von Delft, F., additional, Weigelt, J., additional, Arrowsmith, C.H., additional, Edwards, A.M., additional, Bountra, C., additional, and Bullock, A., additional
- Published
- 2011
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8. Structure of Human YSK1 (Yeast Sps1-Ste20-related Kinase 1)
- Author
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Muniz, J.R.C., primary, Rellos, P., additional, Ugochukwu, E., additional, Vollmar, M., additional, Allerston, C., additional, Chaikuad, A., additional, Savitsky, P., additional, Berridge, G., additional, Brenner, B., additional, Elkins, J.M., additional, Daga, N., additional, Gileadi, O., additional, Mahajan, P., additional, Shrestha, B., additional, von Delft, F., additional, Arrowsmith, C.H., additional, Edwards, A.M., additional, Weigelt, J., additional, Bountra, C., additional, and Knapp, S., additional
- Published
- 2010
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9. The Crystal Structure of the human myosin light chain kinase LOC340156.
- Author
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Muniz, J.R.C., primary, Mahajan, P., additional, Rellos, P., additional, Fedorov, O., additional, Shrestha, B., additional, Wang, J., additional, Elkins, J.M., additional, Daga, N., additional, Cocking, R., additional, Chaikuad, A., additional, Krojer, T., additional, Ugochukwu, E., additional, Yue, W., additional, von Delft, F., additional, Arrowsmith, C.H., additional, Edwards, A.M., additional, Weigelt, J., additional, Bountra, C., additional, Gileadi, O., additional, and Knapp, S., additional
- Published
- 2010
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10. High energy femtosecond fiber chirped pulse amplification system with adaptive phase control
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He, F., primary, Hung, H. S. S., additional, Price, J. H. V., additional, Daga, N. K., additional, Naz, N., additional, Prawiharjo, J., additional, Hanna, D. C., additional, Shepherd, D. P., additional, Richardson, D. J., additional, Dawson, J. W., additional, Siders, C. W., additional, and Barty, C. P., additional
- Published
- 2008
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11. High energy femtosecond fiber chirped pulse amplification system with adaptive phase control
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He, F., Hung, H. S. S., Daga, N. K., Naz, N., Prawiharjo, J., Price, J. H. V., Hanna, D. C., Shepherd, D. P., David Richardson, Dawson, J. W., Siders, C. W., and Barty, C. P. J.
12. Large-bore Mechanical Thrombectomy Versus Catheter-directed Thrombolysis in the Management of Intermediate-risk Pulmonary Embolism: Primary Results of the PEERLESS Randomized Controlled Trial.
- Author
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Jaber WA, Gonsalves CF, Stortecky S, Horr S, Pappas O, Gandhi RT, Pereira K, Giri J, Khandhar SJ, Ammar KA, Lasorda DM, Stegman B, Busch L, Dexter Ii DJ, Azene EM, Daga N, Elmasri F, Kunavarapu CR, Rea ME, Rossi JS, Campbell J, Lindquist J, Raskin A, Smith JC, Tamlyn TM, Hernandez GA, Rali P, Schmidt TR, Bruckel JT, Camacho JC, Li J, Selim S, Toma C, Basra SS, Bergmark BA, Khalsa B, Zlotnick DM, Castle J, O'Connor DJ, and Gibson CM
- Abstract
Background: There is a lack of randomized controlled trial (RCT) data comparing outcomes of different catheter-based interventions for intermediate-risk pulmonary embolism (PE)., Methods: PEERLESS is a prospective, multicenter, RCT that enrolled 550 intermediate-risk PE patients with right ventricular dilatation and additional clinical risk factors randomized 1:1 to treatment with large-bore mechanical thrombectomy (LBMT) or catheter-directed thrombolysis (CDT). The primary endpoint was a hierarchal win ratio (WR) composite of the following: 1) all-cause mortality, 2) intracranial hemorrhage, 3) major bleeding, 4) clinical deterioration and/or escalation to bailout, and 5) postprocedural intensive care unit (ICU) admission and length of stay, assessed at the sooner of hospital discharge or 7 days post-procedure. Assessments at the 24-hour visit included respiratory rate, mMRC dyspnea score, NYHA classification, right ventricle (RV)/left ventricle (LV) ratio reduction, and RV function. Endpoints through 30 days included total hospital stay, all-cause readmission, and all-cause mortality., Results: The primary endpoint occurred significantly less frequently with LBMT vs CDT (WR 5.01 [95% CI: 3.68-6.97]; P <0.001). There were significantly fewer episodes of clinical deterioration and/or bailout (1.8% vs 5.4%; P =0.04) with LBMT vs CDT and less postprocedural ICU utilization ( P <0.001), including admissions (41.6% vs 98.6%) and stays >24 hours (19.3% vs 64.5%). There was no significant difference in mortality, intracranial hemorrhage, or major bleeding between strategies, nor in a secondary WR endpoint including the first 4 components (WR 1.34 [95% CI: 0.78-2.35]; P =0.30). At the 24-hour visit, respiratory rate was lower for LBMT patients (18.3±3.3 vs 20.1±5.1; P <0.001) and fewer had moderate to severe mMRC dyspnea scores (13.5% vs 26.4%; P <0.001), NYHA classifications (16.3% vs 27.4%; P =0.002), and RV dysfunction (42.1% vs 57.9%; P =0.004). RV/LV ratio reduction was similar (0.32±0.24 vs 0.30±0.26; P =0.55). LBMT patients had shorter total hospital stays (4.5±2.8 vs 5.3±3.9 overnights; P =0.002) and fewer all-cause readmissions (3.2% vs 7.9%; P =0.03), while 30-day mortality was similar (0.4% vs 0.8%; P =0.62)., Conclusions: PEERLESS met its primary endpoint in favor of LBMT vs CDT in treatment of intermediate-risk PE. LBMT had lower rates of clinical deterioration and/or bailout and postprocedural ICU utilization compared with CDT, with no difference in mortality or bleeding.
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- 2024
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13. Integration of genetic and chromatin modification data pinpoints autoimmune-specific remodeling of enhancer landscape in CD4 + T cells.
- Author
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Daga N, Servaas NH, Kisand K, Moonen D, Arnold C, Reyes-Palomares A, Kaleviste E, Kingo K, Kuuse R, Ulst K, Steinmetz L, Peterson P, Nakic N, and Zaugg JB
- Subjects
- Humans, Polymorphism, Single Nucleotide, Autoimmune Diseases genetics, Autoimmune Diseases immunology, Autoimmune Diseases pathology, Gene Regulatory Networks, Chromatin Assembly and Disassembly, Autoimmunity genetics, CD4-Positive T-Lymphocytes immunology, CD4-Positive T-Lymphocytes metabolism, Enhancer Elements, Genetic genetics, Chromatin metabolism
- Abstract
CD4
+ T cells play a crucial role in adaptive immune responses and have been implicated in the pathogenesis of autoimmune diseases (ADs). Despite numerous studies, the molecular mechanisms underlying T cell dysregulation in ADs remain incompletely understood. Here, we used chromatin immunoprecipitation (ChIP)-sequencing of active chromatin and transcriptomic data from CD4+ T cells of healthy donors and patients with systemic lupus erythematosus (SLE), psoriasis, juvenile idiopathic arthritis (JIA), and Graves' disease to investigate the role of enhancers in AD pathogenesis. By generating enhancer-based gene regulatory networks (eGRNs), we identified disease-specific dysregulated pathways and potential downstream target genes of enhancers harboring AD-associated single-nucleotide polymorphisms (SNPs), which we also validated using chromatin-capture (HiC) data and CRISPR interference (CRISPRi) in primary CD4+ T cells. Our results suggest that alterations in the regulatory landscapes of CD4+ T cells, including enhancers, contribute to the development of ADs and provide a basis for developing new therapeutic approaches., Competing Interests: Declaration of interests The authors declare no conflict of interest., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)- Published
- 2024
- Full Text
- View/download PDF
14. GRaNIE and GRaNPA: inference and evaluation of enhancer-mediated gene regulatory networks.
- Author
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Kamal A, Arnold C, Claringbould A, Moussa R, Servaas NH, Kholmatov M, Daga N, Nogina D, Mueller-Dott S, Reyes-Palomares A, Palla G, Sigalova O, Bunina D, Pabst C, and Zaugg JB
- Subjects
- Humans, Gene Expression Regulation, Transcription Factors genetics, Transcription Factors metabolism, Chromatin, Enhancer Elements, Genetic genetics, Gene Regulatory Networks, Neoplasms genetics
- Abstract
Enhancers play a vital role in gene regulation and are critical in mediating the impact of noncoding genetic variants associated with complex traits. Enhancer activity is a cell-type-specific process regulated by transcription factors (TFs), epigenetic mechanisms and genetic variants. Despite the strong mechanistic link between TFs and enhancers, we currently lack a framework for jointly analysing them in cell-type-specific gene regulatory networks (GRN). Equally important, we lack an unbiased way of assessing the biological significance of inferred GRNs since no complete ground truth exists. To address these gaps, we present GRaNIE (Gene Regulatory Network Inference including Enhancers) and GRaNPA (Gene Regulatory Network Performance Analysis). GRaNIE (https://git.embl.de/grp-zaugg/GRaNIE) builds enhancer-mediated GRNs based on covariation of chromatin accessibility and RNA-seq across samples (e.g. individuals), while GRaNPA (https://git.embl.de/grp-zaugg/GRaNPA) assesses the performance of GRNs for predicting cell-type-specific differential expression. We demonstrate their power by investigating gene regulatory mechanisms underlying the response of macrophages to infection, cancer and common genetic traits including autoimmune diseases. Finally, our methods identify the TF PURA as a putative regulator of pro-inflammatory macrophage polarisation., (© 2023 The Authors. Published under the terms of the CC BY 4.0 license.)
- Published
- 2023
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- View/download PDF
15. Republished: Denosumab-induced severe hypocalcaemia in a patient with vitamin D deficiency.
- Author
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Daga N and Joseph F
- Abstract
Competing Interests: Competing interests: None declared.
- Published
- 2021
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16. Denosumab-induced severe hypocalcaemia in a patient with vitamin D deficiency.
- Author
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Daga N and Joseph F
- Subjects
- Female, Humans, Middle Aged, Severity of Illness Index, Bone Density Conservation Agents adverse effects, Denosumab adverse effects, Hypocalcemia chemically induced, Vitamin D Deficiency complications
- Abstract
Postmenopausal women are at increased risk of osteoporosis. Osteoporotic fractures carry an increased risk of morbidity and mortality. Denosumab is a monoclonal antibody widely used for the treatment of osteoporosis by inhibiting osteoclast-induced bone resorption. Hypocalcaemia is a known side-effect of denosumab treatment. The majority of such cases have been described in patients with underlying metastatic cancer or chronic kidney disease. We present a patient who developed severe hypocalcaemia after administration of denosumab in the context of severe vitamin D deficiency and a normal kidney function. The management was further complicated by hypophosphatemia. Following replacement of vitamin D, the patient's calcium and phosphate levels stabilised. The patient required intensive care monitoring for replacement of electrolytes. This case report emphasises the importance of screening and ongoing monitoring of risk factors for iatrogenic hypocalcaemia with denosumab treatment., Competing Interests: Competing interests: None declared., (© BMJ Publishing Group Limited 2020. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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- View/download PDF
17. Growth-restricting effects of siRNA transfections: a largely deterministic combination of off-target binding and hybridization-independent competition.
- Author
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Daga N, Eicher S, Kannan A, Casanova A, Low SH, Kreibich S, Andritschke D, Emmenlauer M, Jenkins JL, Hardt WD, Greber UF, Dehio C, and von Mering C
- Subjects
- A549 Cells, Animals, Cell Line, Cell Survival genetics, Cells, Cultured, Embryo, Mammalian cytology, Fibroblasts cytology, Fibroblasts metabolism, Gene Expression, HeLa Cells, Humans, Mice, Transfection, Cell Proliferation genetics, MicroRNAs genetics, Nucleic Acid Hybridization, RNA Interference, RNA, Small Interfering genetics
- Abstract
Perturbation of gene expression by means of synthetic small interfering RNAs (siRNAs) is a powerful way to uncover gene function. However, siRNA technology suffers from sequence-specific off-target effects and from limitations in knock-down efficiency. In this study, we assess a further problem: unintended effects of siRNA transfections on cellular fitness/proliferation. We show that the nucleotide compositions of siRNAs at specific positions have reproducible growth-restricting effects on mammalian cells in culture. This is likely distinct from hybridization-dependent off-target effects, since each nucleotide residue is seen to be acting independently and additively. The effect is robust and reproducible across different siRNA libraries and also across various cell lines, including human and mouse cells. Analyzing the growth inhibition patterns in correlation to the nucleotide sequence of the siRNAs allowed us to build a predictor that can estimate growth-restricting effects for any arbitrary siRNA sequence. Competition experiments with co-transfected siRNAs further suggest that the growth-restricting effects might be linked to an oversaturation of the cellular miRNA machinery, thus disrupting endogenous miRNA functions at large. We caution that competition between siRNA molecules could complicate the interpretation of double-knockdown or epistasis experiments, and potential interactions with endogenous miRNAs can be a factor when assaying cell growth or viability phenotypes.
- Published
- 2018
- Full Text
- View/download PDF
18. Specific inhibition of diverse pathogens in human cells by synthetic microRNA-like oligonucleotides inferred from RNAi screens.
- Author
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Franceschini A, Meier R, Casanova A, Kreibich S, Daga N, Andritschke D, Dilling S, Rämö P, Emmenlauer M, Kaufmann A, Conde-Álvarez R, Low SH, Pelkmans L, Helenius A, Hardt WD, Dehio C, and von Mering C
- Subjects
- Base Sequence, Brucella abortus genetics, Bunyaviridae genetics, Genes, Bacterial, HeLa Cells, Humans, RNA, Small Interfering genetics, Salmonella typhimurium genetics, Brucella abortus drug effects, Bunyaviridae drug effects, MicroRNAs genetics, Oligonucleotides pharmacology, RNA Interference, Salmonella typhimurium drug effects
- Abstract
Systematic genetic perturbation screening in human cells remains technically challenging. Typically, large libraries of chemically synthesized siRNA oligonucleotides are used, each designed to degrade a specific cellular mRNA via the RNA interference (RNAi) mechanism. Here, we report on data from three genome-wide siRNA screens, conducted to uncover host factors required for infection of human cells by two bacterial and one viral pathogen. We find that the majority of phenotypic effects of siRNAs are unrelated to the intended "on-target" mechanism, defined by full complementarity of the 21-nt siRNA sequence to a target mRNA. Instead, phenotypes are largely dictated by "off-target" effects resulting from partial complementarity of siRNAs to multiple mRNAs via the "seed" region (i.e., nucleotides 2-8), reminiscent of the way specificity is determined for endogenous microRNAs. Quantitative analysis enabled the prediction of seeds that strongly and specifically block infection, independent of the intended on-target effect. This prediction was confirmed experimentally by designing oligos that do not have any on-target sequence match at all, yet can strongly reproduce the predicted phenotypes. Our results suggest that published RNAi screens have primarily, and unintentionally, screened the sequence space of microRNA seeds instead of the intended on-target space of protein-coding genes. This helps to explain why previously published RNAi screens have exhibited relatively little overlap. Our analysis suggests a possible way of identifying "seed reagents" for controlling phenotypes of interest and establishes a general strategy for extracting valuable untapped information from past and future RNAi screens.
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- 2014
- Full Text
- View/download PDF
19. Prevalence and severity of coronary artery calcium in young persons with diabetes.
- Author
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Daga N, Nasir K, Hamirani Y, Tayek J, Bach P, Li D, and Budoff MJ
- Subjects
- Adult, Age Factors, California epidemiology, Chi-Square Distribution, Coronary Angiography, Coronary Artery Disease diagnostic imaging, Cross-Sectional Studies, Diabetic Angiopathies diagnostic imaging, Female, Humans, Logistic Models, Male, Multivariate Analysis, Odds Ratio, Predictive Value of Tests, Prevalence, Retrospective Studies, Risk Factors, Severity of Illness Index, Vascular Calcification diagnostic imaging, Coronary Artery Disease epidemiology, Diabetes Mellitus epidemiology, Diabetic Angiopathies epidemiology, Vascular Calcification epidemiology
- Abstract
Background: Currently, American Diabetes Association guidelines suggest statin use among persons with diabetes mellitus aged >40 years. The presence of calcified plaque in coronary arteries is a sensitive surrogate of coronary artery disease and has been shown to be an independent predictor of mortality and cardiac events., Objective: We aimed to assess the prevalence and severity of calcified plaque in coronary arteries in patients aged <40 years with and without diabetes., Methods: We included 3723 asymptomatic patients aged <40 years who had undergone coronary calcium scanning. Clinical and demographic data were collected. Agatston score was categorized into Agatston score 0 as normal, 1 to 99 as low, 100 to 399 as intermediate, and ≥400 as severe; and statistical analysis was performed., Results: The study population consisted of 4% persons with diabetes (n = 142) and 56% men with a mean age of 35 ± 5 years. Young persons with diabetes had greater prevalence of Agatston score > 0 than persons without diabetes (43% vs 24%; P < .0001). In addition, 12% of persons with diabetes vs 2.5% of persons without diabetes had an Agatston score ≥ 100 (P < .0001). The prevalence of calcified plaque in coronary arteries was >50% in persons with diabetes aged >35 years. After taking into account risk factors, the presence of diabetes was associated with a 4-fold higher odds of an Agatston score ≥ 100 (odds ratio, 4.19; 95% CI, 2.29-7.65; P < .0001)., Conclusion: Our study found that 43% of young patients with diabetes have detectable coronary atherosclerosis. Given the known clinical implications of calcified plaque in coronary arteries, future studies are needed to evaluate interventions in persons aged <40 years who exhibit subclinical atherosclerosis to reduce future cardiovascular disease events in this vulnerable population., (Copyright © 2013 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.)
- Published
- 2013
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20. Expressing the human proteome for affinity proteomics: optimising expression of soluble protein domains and in vivo biotinylation.
- Author
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Keates T, Cooper CD, Savitsky P, Allerston CK, Phillips C, Hammarström M, Daga N, Berridge G, Mahajan P, Burgess-Brown NA, Müller S, Gräslund S, and Gileadi O
- Subjects
- Animals, Biotin metabolism, Biotinylation, Crystallization, Culture Media, Genes, Humans, Mass Spectrometry, Plasmids metabolism, Protein Structure, Tertiary, Proteome genetics, Proteome isolation & purification, Solubility, Chromatography, Affinity methods, Proteome chemistry, Proteome metabolism, Proteomics methods
- Abstract
The generation of affinity reagents to large numbers of human proteins depends on the ability to express the target proteins as high-quality antigens. The Structural Genomics Consortium (SGC) focuses on the production and structure determination of human proteins. In a 7-year period, the SGC has deposited crystal structures of >800 human protein domains, and has additionally expressed and purified a similar number of protein domains that have not yet been crystallised. The targets include a diversity of protein domains, with an attempt to provide high coverage of protein families. The family approach provides an excellent basis for characterising the selectivity of affinity reagents. We present a summary of the approaches used to generate purified human proteins or protein domains, a test case demonstrating the ability to rapidly generate new proteins, and an optimisation study on the modification of >70 proteins by biotinylation in vivo. These results provide a unique synergy between large-scale structural projects and the recent efforts to produce a wide coverage of affinity reagents to the human proteome., (Copyright © 2011 Elsevier B.V. All rights reserved.)
- Published
- 2012
- Full Text
- View/download PDF
21. Determinants of left main calcifications in a cohort of 2136 diabetes patients.
- Author
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Isma'eel H, Hamirani YS, Daga N, Kadakia J, Mao S, Ahmadi N, and Budoff MJ
- Subjects
- Aged, Cohort Studies, Female, Humans, Male, Middle Aged, Prevalence, Risk Factors, Calcinosis epidemiology, Coronary Artery Disease epidemiology, Diabetes Mellitus epidemiology
- Abstract
Introduction: Left main (LM) calcification has been shown to be an independent predictor of mortality. Diabetes accelerates atherosclerosis and coronary artery calcification (CAC). In this study we aimed to describe the predictors of LM calcification in diabetes patients., Methods: From a database of >25,000 patients who have undergone CAC scanning at our institution, consecutive diabetic patients (n=2136) were evaluated for demographic data, CAC scores and coronary risk factors., Results: In our cohort 29.1% of patients had LM CAC. Of the classical atherosclerosis risk factors, in binary regression analysis, only age (OR 1.03 [1.017-1.043]), male gender (OR 1.59; p<0.05), hypertension (OR 1.73; p<0.05), and CAC score (OR 1.001; p<0.05) were found to be independently associated with LM disease., Conclusion: The prevalence of LM CAC is high amongst diabetics (29.1%); associated with increased age, HTN and male sex., (Published by Elsevier Ireland Ltd.)
- Published
- 2010
- Full Text
- View/download PDF
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