| Literature DB >> 29199020 |
Alexandra B Keenan1, Sherry L Jenkins1, Kathleen M Jagodnik1, Simon Koplev1, Edward He1, Denis Torre1, Zichen Wang1, Anders B Dohlman1, Moshe C Silverstein1, Alexander Lachmann1, Maxim V Kuleshov1, Avi Ma'ayan2, Vasileios Stathias3, Raymond Terryn3, Daniel Cooper3, Michele Forlin3, Amar Koleti3, Dusica Vidovic3, Caty Chung3, Stephan C Schürer3, Jouzas Vasiliauskas4, Marcin Pilarczyk4, Behrouz Shamsaei4, Mehdi Fazel4, Yan Ren4, Wen Niu4, Nicholas A Clark4, Shana White4, Naim Mahi4, Lixia Zhang4, Michal Kouril4, John F Reichard4, Siva Sivaganesan4, Mario Medvedovic4, Jaroslaw Meller4, Rick J Koch5, Marc R Birtwistle5, Ravi Iyengar5, Eric A Sobie5, Evren U Azeloglu5, Julia Kaye6, Jeannette Osterloh6, Kelly Haston6, Jaslin Kalra6, Steve Finkbiener6, Jonathan Li7, Pamela Milani7, Miriam Adam7, Renan Escalante-Chong7, Karen Sachs7, Alex Lenail7, Divya Ramamoorthy7, Ernest Fraenkel7, Gavin Daigle8, Uzma Hussain8, Alyssa Coye8, Jeffrey Rothstein8, Dhruv Sareen9, Loren Ornelas9, Maria Banuelos9, Berhan Mandefro9, Ritchie Ho9, Clive N Svendsen9, Ryan G Lim10, Jennifer Stocksdale10, Malcolm S Casale10, Terri G Thompson10, Jie Wu10, Leslie M Thompson10, Victoria Dardov9, Vidya Venkatraman9, Andrea Matlock9, Jennifer E Van Eyk9, Jacob D Jaffe11, Malvina Papanastasiou11, Aravind Subramanian12, Todd R Golub13, Sean D Erickson14, Mohammad Fallahi-Sichani14, Marc Hafner14, Nathanael S Gray14, Jia-Ren Lin14, Caitlin E Mills14, Jeremy L Muhlich14, Mario Niepel14, Caroline E Shamu14, Elizabeth H Williams14, David Wrobel14, Peter K Sorger14, Laura M Heiser15, Joe W Gray15, James E Korkola15, Gordon B Mills16, Mark LaBarge17, Heidi S Feiler15, Mark A Dane15, Elmar Bucher15, Michel Nederlof18, Damir Sudar18, Sean Gross15, David F Kilburn15, Rebecca Smith15, Kaylyn Devlin15, Ron Margolis19, Leslie Derr19, Albert Lee19, Ajay Pillai19.
Abstract
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.Entities:
Keywords: BD2K; L1000; MCF10A; MEMA; P100; data integration; lincsprogram; lincsproject; systems biology; systems pharmacology
Mesh：
Year: 2017 PMID： 29199020 PMCID： PMC5799026 DOI： 10.1016/j.cels.2017.11.001
Source DB: PubMed Journal: Cell Syst ISSN： 2405-4712 Impact factor: 10.304