ArticleNature communications2020
Context specificity of the EMT transcriptional response.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
167 citing papers in PubMed, 1 synthesis or guideline pooled it.
- PD-L1 Activity Is Associated with Partial EMT and Metabolic Reprogramming in Carcinomas.Current oncology (Toronto, Ont.) · 2022Pooled it
- NOTCH1 reverses immune suppression in small cell lung cancer through reactivation of STING.The Journal of clinical investigation · 2025Trial
- Response to neoadjuvant chemotherapy in early breast cancers is associated with epithelial-mesenchymal transition and tumor-infiltrating lymphocytes.Molecular oncology · 2025Trial
- Decoding epithelial-mesenchymal transitions with multi-omics.Nature reviews. Genetics · 2026Review
- Transcriptional dynamics of the murine heart during perinatal development at single-cell resolution.Biology open · 2026Article
- Fusion-driven oncogenic programs shape the immune landscape in translocation renal cell carcinoma.Nature communications · 2026Article
- Adaptive epithelial-mesenchymal bi-directional transition: A key invasive plasticity for tumor metastasis.iScience · 2026Review
- Intrinsic cellular heterogeneity directs divergent epithelial-to-mesenchymal transition outcomes.The FEBS journal · 2026Article
- Multiple distinct metastatic cell states are induced by epithelial-mesenchymal plasticity.bioRxiv : the preprint server for biology · 2026Article
- Single-cell multimodal profiling of pan-cancer cell lines uncovers gene regulatory principles underlying intrinsic cell states and environmental features.Nature communications · 2026Article
- Article
- A human induced pluripotent stem cell model for the holistic study of epithelial-to-mesenchymal transitions.Nature methods · 2026Article
- Single-cell lipidomic analysis of the epithelial-mesenchymal transition using mass spectrometry imaging.iScience · 2026Article
- Systems-level analysis identifies IRF6 as an inhibitor of epithelial-mesenchymal transition.Journal of biological engineering · 2026Article
- Single-cell multimodal profiling of pan-cancer cell lines uncovers gene regulatory principles underlying intrinsic cell states and environmental features.bioRxiv : the preprint server for biology · 2026Article
- C/EBPγ induces epithelial-mesenchymal transition and facilitates DNA double-strand break repair in lung adenocarcinoma cells.Cell death discovery · 2026Article
- CD4+ T Cells Sensitize Quasimesenchymal Breast Tumors Lacking CD73 to Anti-CTLA4 Immune Checkpoint Blockade Therapy.Cancer research communications · 2026Article
- AI-enabled label free monitoring of TGFβ1-induced remodeling in iPSC-derived alveolar organoids.Materials today. Bio · 2026Article
- Multiplexed single-cell transcriptomics reveals diverse phenotypic outcomes for pathogenic SHP2 variants.Science advances · 2026Article
- Robust identification of cell-cell communication heterogeneity in single cells.bioRxiv : the preprint server for biology · 2026Article
107 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Epithelial-mesenchymal plasticity contributes to many biological processes, including tumor progression. Various epithelial-mesenchymal transition (EMT) responses have been reported and no common, EMT-defining gene expression program has been identified. Here, we have performed a comparative analysis of the EMT response, leveraging highly multiplexed single-cell RNA sequencing (scRNA-seq) to measure expression profiles of 103,999 cells from 960 samples, comprising 12 EMT time course experiments and independent kinase inhibitor screens for each. We demonstrate that the EMT is vastly context specific, with an average of only 22% of response genes being shared between any two conditions, and over half of all response genes were restricted to 1-2 time course experiments. Further, kinase inhibitor screens revealed signaling dependencies and modularity of these responses. These findings suggest that the EMT is not simply a single, linear process, but is highly variable and modular, warranting quantitative frameworks for understanding nuances of the transition.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.