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Cited by 560

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Epithelial–mesenchymal transition (EMT): A biological process in the development, stem cell differentiation, and tumorigenesis

Open access
Chen, Tong, You, Yanan, Jiang, Hua, Wang, Zack Z.·2017·Journal of Cellular Physiology

Abstract

The lineage transition between epithelium and mesenchyme is a process known as epithelial–mesenchymal transition (EMT), by which polarized epithelial cells lose their adhesion property and obtain mesenchymal cell phenotypes. EMT is a biological process that is often involved in embryogenesis and diseases, such as cancer invasion and metastasis. The EMT and the reverse process, mesenchymal–epithelial transition (MET), also play important roles in stem cell differentiation and de‐differentiation (or reprogramming). In this review, we will discuss current research progress of EMT in embryonic development, cellular differentiation and reprogramming, and cancer progression, all of which are representative models for researches of stem cell biology in normal and in diseases. Understanding of EMT and MET may help to identify specific markers to distinguish normal stem cells from cancer stem cells in future.

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Registry

Crossref · 10.1002/jcp.25797

Cites

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Citations

Cites

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Metadata

Authors
Chen, T., You, Y., Jiang, H., & Wang, Z. Z.
Venue
Journal of Cellular Physiology
Publisher
Wiley
Published
2017-04-10
Volume
232
Issue
12
Pages
3261-3272
ISSN
  • 0021-9541 (ISSN-L)
  • 1097-4652
OpenAlex
W2573970795
Cited by
560
References
123
FWCI
21.54
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Epithelial–mesenchymal transition (EMT): A biological process in the development, stem cell differentiation, and tumorigenesis. https://app.cochat.ai/papers/10.1002/jcp.25797
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Chen, T., You, Y., Jiang, H., & Wang, Z. Z. (2017). Epithelial–mesenchymal transition (EMT): A biological process in the development, stem cell differentiation, and tumorigenesis. Journal of Cellular Physiology. https://doi.org/10.1002/jcp.25797

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.