biostudies-literatureGross SMU.S. Department of Health & Human Services | National Institutes of Health (NIH)1066https://www.ebi.ac.uk/biostudies/studies/S-EPMC9546880biostudies-literatureUnknown5(1)The phenotype of a cell and its underlying molecular state is strongly influenced by extracellular signals, including growth factors, hormones, and extracellular matrix proteins. While these signals are normally tightly controlled, their dysregulation leads to phenotypic and molecular states associated with diverse diseases. To develop a detailed understanding of the linkage between molecular and phenotypic changes, we generated a comprehensive dataset that catalogs the transcriptional, proteomic, epigenomic and phenotypic responses of MCF10A mammary epithelial cells after exposure to the ligands EGF, HGF, OSM, IFNG, TGFB and BMP2. Systematic assessment of the molecular and cellular phenotypes induced by these ligands comprise the LINCS Microenvironment (ME) perturbation dataset, which hasCommunications biologyA multi-omic analysis of MCF10A cells provides a resource for integrative assessment of ligand-mediated molecular and phenotypic responses.PMC9546880U54-HG008097U54HL127366U54HL127624U54-HG008100U54NS091046Jaffe JDJacobson CLu XAdam MLu YMullahoo JWassie BSubramanian AKorkola JEEvangelista JEClarke DJBPillai ASubramanian KMcLean ICWang YYapp CLi JPapanastasiou MXie ZFraenkel EHeiser LMPessa SMa'ayan ABucher ELyons NVidovic DGross SMTorre DDerrick DSErdem CLiu MSanchez-Aguila CDane MADaily KKilburn DFLee AFeiler HSSchurer SLondon ABSmith RLOmberg LSorger PKNatoli TChung MDevlin KLMills CELiby TAGray JWBirtwistle MRMills GBfalseA multi-omic analysis of MCF10A cells provides a resource for integrative assessment of ligand-mediated molecular and phenotypic responses.The phenotype of a cell and its underlying molecular state is strongly influenced by extracellular signals, including growth factors, hormones, and extracellular matrix proteins. While these signals are normally tightly controlled, their dysregulation leads to phenotypic and molecular states associated with diverse diseases. To develop a detailed understanding of the linkage between molecular and phenotypic changes, we generated a comprehensive dataset that catalogs the transcriptional, proteomic, epigenomic and phenotypic responses of MCF10A mammary epithelial cells after exposure to the ligands EGF, HGF, OSM, IFNG, TGFB and BMP2. Systematic assessment of the molecular and cellular phenotypes induced by these ligands comprise the LINCS Microenvironment (ME) perturbation dataset, which has2022-01-01T00:00:00Z2022 Oct2025-04-25T17:37:44.69Z2024-11-08T20:52:11.089ZS-EPMC95468803620758010.1038/s42003-022-03975-9