The DOI matches its Crossref record; 216 of the 216 references it cites were found in a registry or an index.
Epithelial–mesenchymal transition and its transcription factors
Open accessAbstract
Epithelial–mesenchymal transition or EMT is an extremely dynamic process involved in conversion of epithelial cells into mesenchymal cells, stimulated by an ensemble of signaling pathways, leading to change in cellular morphology, suppression of epithelial characters and acquisition of properties such as enhanced cell motility and invasiveness, reduced cell death by apoptosis, resistance to chemotherapeutic drugs etc. Significantly, EMT has been found to play a crucial role during embryonic development, tissue fibrosis and would healing, as well as during cancer metastasis. Over the years, work from various laboratories have identified a rather large number of transcription factors (TFs) including the master regulators of EMT, with the ability to regulate the EMT process directly. In this review, we put together these EMT TFs and discussed their role in the process. We have also tried to focus on their mechanism of action, their interdependency, and the large regulatory network they form. Subsequently, it has become clear that the composition and structure of the transcriptional regulatory network behind EMT probably varies based upon various physiological and pathological contexts, or even in a cell/tissue type-dependent manner.
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Cites
3 retracted
Gong, C., Shen, J., Fang, Z., Qiao, L., Feng, R., Lin, X., & Li, S. (2018) · Bioscience Reports · doi:10.1042/bsr20180532 · Cited by 35
RetractedFan, D., Feng, X., Qi, P., & Chen, Y. (2014) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-014-2185-1 · Cited by 29
RetractedZheng, X., Lin, J., Wu, H., Mo, Z., Lian, Y., Wang, P., Hu, Z., Gao, Z., Peng, L., & Xie, C. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1433-3 · Cited by 28
RetractedThe basics of epithelial-mesenchymal transition
Kalluri, R., & Weinberg, R. A. (2009) · Journal of Clinical Investigation · doi:10.1172/jci39104 · Cited by 10,196
Epithelial-Mesenchymal Transitions in Development and Disease
Thiery, J. P., Acloque, H., Huang, R. Y. J., & Nieto, M. A. (2009) · Cell · doi:10.1016/j.cell.2009.11.007 · Cited by 9,931
Molecular mechanisms of epithelial–mesenchymal transition
Lamouille, S., Xu, J., & Derynck, R. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3758 · Cited by 8,091
Twist, a Master Regulator of Morphogenesis, Plays an Essential Role in Tumor Metastasis
Yang, J., Mani, S. A., Donaher, J. L., Ramaswamy, S., Itzykson, R. A., Come, C., Savagner, P., Gitelman, I., Richardson, A., & Weinberg, R. A. (2004) · Cell · doi:10.1016/j.cell.2004.06.006 · Cited by 3,855
Cano, A., Pérez-Moreno, M. A., Rodrigo, I., Locascio, A., Blanco, M. J., del Barrio, M. G., Portillo, F., & Nieto, M. A. (2000) · Nature Cell Biology · doi:10.1038/35000025 · Cited by 3,668
Snail, Zeb and bHLH factors in tumour progression: An alliance against the epithelial phenotype?
Peinado, H., Olmeda, D., & Cano, A. (2007) · Nature reviews. Cancer · doi:10.1038/nrc2131 · Cited by 3,121
Epithelial-Mesenchymal Transition: At the Crossroads of Development and Tumor Metastasis
Yang, J., & Weinberg, R. A. (2008) · Developmental Cell · doi:10.1016/j.devcel.2008.05.009 · Cited by 3,012
Cited by
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Zhou, Y., Tao, L., Qiu, J., Xu, J., Yang, X., Zhang, Y., Tian, X., Guan, X., Cen, X., & Zhao, Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01823-2 · Cited by 720
Metadata
- Authors
- Debnath, P., Huirem, R. S., Dutta, P., & Palchaudhuri, S.
- Venue
- Bioscience Reports
- Publisher
- Portland Press Ltd.
- Published
- 2021-12-23
- Volume
- 42
- Issue
- 1
- ISSN
- 0144-8463 (ISSN-L)
- 1573-4935
- OpenAlex
- W3210953958
- Cited by
- 281
- References
- 216
- FWCI
- 11.17
- Type
- journal article
- Language
- en
- Open access
- gold
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- Debnath, P., Huirem, R. S., Dutta, P., & Palchaudhuri, S. (2022). Epithelial–mesenchymal transition and its transcription factors. Bioscience Reports. https://doi.org/10.1042/bsr20211754
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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.