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The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations

2017; Elsevier BV; Volume: 6; Issue: 1 Linguagem: Inglês

10.1016/j.cels.2017.11.001

2639-5460

Alexandra Keenan, Sherry L. Jenkins, Kathleen M. Jagodnik, Simon Koplev, Edward He, Denis Torre, Zichen Wang, Anders B. Dohlman, Moshe C. Silverstein, Alexander Lachmann, Maxim V. Kuleshov, Avi Ma’ayan, Vasileios Stathias, Raymond Terryn, Daniel J. Cooper, Michele Forlin, Amar Koleti, D. Vidović, Caty Chung, Stephan C. Schürer, Jouzas Vasiliauskas, Marcin Pilarczyk, Behrouz Shamsaei, Mehdi Fazel, Yan Ren, Wen Niu, Nicholas A. Clark, Shana White, Naim Al Mahi, Lixia Zhang, Michal Kouril, John F. Reichard, Siva Sivaganesan, Mario Medvedovic, Jarek Meller, Rick J. Koch, Marc R. Birtwistle, Ravi Iyengar, Eric A. Sobie, Evren U. Azeloglu, Julia Kaye, Jeannette M. Osterloh, Kelly Haston, Jaslin Kalra, Steve Finkbiener, Jonathan Li, Pamela Milani, Miriam Adam, Renan Escalante-Chong, Karen Sachs, Alex Lenail, Divya Ramamoorthy, Ernest Fraenkel, Gavin Daigle, Uzma Hussain, Alyssa Coye, Jeffrey Rothstein, Dhruv Sareen, Loren Ornelas, Maria G. Bañuelos, Berhan Mandefro, Ritchie Ho, Clive N. Svendsen, Ryan G. Lim, Jennifer Stocksdale, Malcolm Casale, Terri G. Thompson, Jie Wu, Leslie M. Thompson, Victoria Dardov, Vidya Venkatraman, Andrea Matlock, Jennifer E. Van Eyk, Jacob D. Jaffe, Malvina Papanastasiou, Aravind Subramanian, Todd R. Golub, Sean D. Erickson, Mohammad Fallahi‐Sichani, Marc Hafner, Nathanael S. Gray, Jia‐Ren Lin, Caitlin E. Mills, Jeremy Muhlich, Mario Niepel, Caroline E. Shamu, Elizabeth H. Williams, David M. Wrobel, Peter K. Sorger, Laura M. Heiser, Joe W. Gray, James E. Korkola, Gordon B. Mills, Mark A. LaBarge, Heidi S. Feiler, Mark Dane, Elmar Bucher, Michel Nederlof, Damir Sudar, Sean M. Gross, David Kilburn, Rebecca Smith, Kaylyn L. Devlin, Ron Margolis, Leslie Derr, Albert Lee, Ajay Pillai,

Biomedical and Engineering Education

The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. Resources generated by LINCS include experimental and computational methods, visualization tools, molecular and imaging data, and signatures. By assembling an integrated picture of the range of responses of human cells exposed to many perturbations, the LINCS program aims to better understand human disease and to advance the development of new therapies. Perturbations under study include drugs, genetic perturbations, tissue micro-environments, antibodies, and disease-causing mutations. Responses to perturbations are measured by transcript profiling, mass spectrometry, cell imaging, and biochemical methods, among other assays. The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders. This Perspective describes LINCS technologies, datasets, tools, and approaches to data accessibility and reusability.