ReviewPhysical biology2019
Investigating epithelial-to-mesenchymal transition with integrated computational and experimental approaches.
Review in Physical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Conservation of Epithelial-to-Mesenchymal Transition Process in Neural Crest Cells and Metastatic Cancer.Cells, tissues, organs · 2021Pooled it
- Haikun Shenxi Capsule Ameliorates Renal Fibrosis by Modulating Gut Microbiota and Metabolism.Current medical science · 2026Article
- Lung tumour secretome and extracellular vesicles: mechanisms, biomarkers, and therapeutic opportunities.Cancer metastasis reviews · 2026Review
- KDM8 acts as a co-regulator of transcription factor SOX2 for promoting cell pluripotency.Stem cell reports · 2026Article
- Modeling the dynamics of EMT reveals genes associated with pan-cancer intermediate states and plasticity.NPJ systems biology and applications · 2025Article
- Review
- Population dynamics of EMT elucidates the timing and distribution of phenotypic intra-tumoral heterogeneity.iScience · 2023Article
- Review
- Review
- Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells.Frontiers in physiology · 2022Article
- Control of tissue homeostasis, tumorigenesis, and degeneration by coupled bidirectional bistable switches.PLoS computational biology · 2021Article
- Computational systems-biology approaches for modeling gene networks driving epithelial-mesenchymal transitions.Computational and systems oncology · 2021Article
- Interplay between tumor microenvironment and partial EMT as the driver of tumor progression.iScience · 2021Review
- Article
- Urolithin A Inhibits Epithelial-Mesenchymal Transition in Lung Cancer Cells via P53-Mdm2-Snail Pathway.OncoTargets and therapy · 2021Article
- Inference and multiscale model of epithelial-to-mesenchymal transition via single-cell transcriptomic data.Nucleic acids research · 2020Article
- Sequential Wnt Agonist Then Antagonist Treatment Accelerates Tissue Repair and Minimizes Fibrosis.iScience · 2020Article
- A plausible accelerating function of intermediate states in cancer metastasis.PLoS computational biology · 2020Article
- Bidirectional interplay between physical and biological approaches on studying the epithelial-to-mesenchymal transition.Physical biology · 2020Article
- Cancer stem-like cells with hybrid epithelial/mesenchymal phenotype leading the collective invasion.Cancer science · 2020Article
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 at 2 institutions in 1 country.
Funding
Abstract
The transition between epithelial and mesenchymal (EMT) is a fundamental cellular process that plays critical roles in development, cancer metastasis, and tissue wound healing. EMT is not a binary process but involves multiple partial EMT states that give rise to a high degree of cell state plasticity. Here, we first reviewed several studies on theoretical predictions and experimental verification of these intermediate states, the role of partial EMT on kidney fibrosis development, and how quantitative signaling information controls cell commitment to partial or full EMT upon transient signals. Next, we summarized existing knowledge and open questions on the coupling between EMT and other biological processes, such as the cell cycle, epigenetic regulation, stemness, and apoptosis. Taken together, EMT is a model system that has attracted increasing interests for quantitative experimental and theoretical studies.
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What OpenQuestion holds
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.