학술논문

The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations
Document Type
article
Author
Keenan, Alexandra BJenkins, Sherry LJagodnik, Kathleen MKoplev, SimonHe, EdwardTorre, DenisWang, ZichenDohlman, Anders BSilverstein, Moshe CLachmann, AlexanderKuleshov, Maxim VMa'ayan, AviStathias, VasileiosTerryn, RaymondCooper, DanielForlin, MicheleKoleti, AmarVidovic, DusicaChung, CatySchürer, Stephan CVasiliauskas, JouzasPilarczyk, MarcinShamsaei, BehrouzFazel, MehdiRen, YanNiu, WenClark, Nicholas AWhite, ShanaMahi, NaimZhang, LixiaKouril, MichalReichard, John FSivaganesan, SivaMedvedovic, MarioMeller, JaroslawKoch, Rick JBirtwistle, Marc RIyengar, RaviSobie, Eric AAzeloglu, Evren UKaye, JuliaOsterloh, JeannetteHaston, KellyKalra, JaslinFinkbiener, SteveLi, JonathanMilani, PamelaAdam, MiriamEscalante-Chong, RenanSachs, KarenLenail, AlexRamamoorthy, DivyaFraenkel, ErnestDaigle, GavinHussain, UzmaCoye, AlyssaRothstein, JeffreySareen, DhruvOrnelas, LorenBanuelos, MariaMandefro, BerhanHo, RitchieSvendsen, Clive NLim, Ryan GStocksdale, JenniferCasale, Malcolm SThompson, Terri GWu, JieThompson, Leslie MDardov, VictoriaVenkatraman, VidyaMatlock, AndreaVan Eyk, Jennifer EJaffe, Jacob DPapanastasiou, MalvinaSubramanian, AravindGolub, Todd RErickson, Sean DFallahi-Sichani, MohammadHafner, MarcGray, Nathanael SLin, Jia-RenMills, Caitlin EMuhlich, Jeremy LNiepel, MarioShamu, Caroline EWilliams, Elizabeth HWrobel, DavidSorger, Peter KHeiser, Laura MGray, Joe WKorkola, James EMills, Gordon BLaBarge, MarkFeiler, Heidi SDane, Mark ABucher, ElmarNederlof, MichelSudar, DamirGross, Sean
Source
Cell Systems. 6(1)
Subject
Bioengineering
Cancer
Genetics
Biotechnology
2.1 Biological and endogenous factors
Aetiology
Generic health relevance
Good Health and Well Being
Cataloging
Computational Biology
Databases
Chemical
Gene Expression Profiling
Gene Library
Humans
Information Storage and Retrieval
National Health Programs
National Institutes of Health (U.S.)
Systems Biology
Transcriptome
United States
BD2K
L1000
MCF10A
MEMA
P100
data integration
lincsprogram
lincsproject
systems biology
systems pharmacology
Biochemistry and Cell Biology
Language
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.