ArticleCommunications biology2022
A multi-omic analysis of MCF10A cells provides a resource for integrative assessment of ligand-mediated molecular and phenotypic responses.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Oncogenic cell fate decision in breast epithelial cells I: growth factors and mechanisms.Research square · 2026Article
- Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state change.Cell systems · 2026Article
- QSAR Modeling for Predicting ICInternational journal of molecular sciences · 2025Article
- SIRT1/DNMT3B-mediated epigenetic gene silencing in response to phytoestrogens in mammary epithelial cells.Epigenetics · 2025Article
- Oncostatin M orchestrates collective epithelial migration via HIF1A activation.bioRxiv : the preprint server for biology · 2025Article
- Microenvironmental signals combine to induce non-additive molecular and phenotypic responses in mammary epithelial cells.iScience · 2025Article
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- Nucleosome dynamics render heterochromatin accessible in living human cells.Nature communications · 2025Article
- Novel determinants of NOTCH1 trafficking and signaling in breast epithelial cells.Life science alliance · 2025Article
- TNBC response to paclitaxel phenocopies interferon response which reveals cell cycle-associated resistance mechanisms.Scientific reports · 2025Article
- The structure is the message: Preserving experimental context through tensor decomposition.Cell systems · 2024Review
- Multiomics2Targets identifies targets from cancer cohorts profiled with transcriptomics, proteomics, and phosphoproteomics.Cell reports methods · 2024Article
- TNBC response to paclitaxel phenocopies interferon response which reveals cell cycle-associated resistance mechanisms.bioRxiv : the preprint server for biology · 2024Article
- Low-frequency ERK and Akt activity dynamics are predictive of stochastic cell division events.NPJ systems biology and applications · 2024Article
- Outlook and opportunities for engineered environments of breast cancer dormancy.Science advances · 2024Review
- Article
- MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms.Nature communications · 2023Article
- Morphodynamical cell state description via live-cell imaging trajectory embedding.Communications biology · 2023Article
- MEMMAL: A tool for expanding large-scale mechanistic models with machine learned associations and big datasets.Frontiers in systems biology · 2023Article
- Application of perturbation gene expression profiles in drug discovery-From mechanism of action to quantitative modelling.Frontiers in systems biology · 2023Review
Corrections and comments
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50 authors.
Funding
Abstract
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 has been curated and made publicly available for community-wide analysis and development of novel computational methods ( synapse.org/LINCS_MCF10A ). In illustrative analyses, we demonstrate how this dataset can be used to discover functionally related molecular features linked to specific cellular phenotypes. Beyond these analyses, this dataset will serve as a resource for the broader scientific community to mine for biological insights, to compare signals carried across distinct molecular modalities, and to develop new computational methods for integrative data analysis.
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Registered trials
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