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NOTES
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, CatySchurer, 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, SeanKilburn, David FSmith, RebeccaDevlin, KaylynMargolis, RonDerr, LeslieLee, AlbertPillai, AjayengK99 AG056678/AG/NIA NIH HHS/U54 HL127624/HL/NHLBI NIH HHS/OT3 OD025467/OD/NIH HHS/U54 HG008100/HG/NHGRI NIH HHS/S10 OD018522/OD/NIH HHS/T32 GM087237/GM/NIGMS NIH HHS/T32 HL007824/HL/NHLBI NIH HHS/U54 HG008097/HG/NHGRI NIH HHS/U54 HL127366/HL/NHLBI NIH HHS/U54 HG008098/HG/NHGRI NIH HHS/U54 HL127365/HL/NHLBI NIH HHS/U54 NS091046/NS/NINDS NIH HHS/Research Support, N.I.H., ExtramuralReviewCell Syst. 2018 Jan 24;6(1):13-24. doi: 10.1016/j.cels.2017.11.001. Epub 2017 Nov 29.
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.
Last updated on 02/17/2021