Data- and theory-driven approaches for understanding paths of epithelial-mesenchymal transition

被引:0
|
作者
Hong, Tian [1 ]
Xing, Jianhua [2 ,3 ,4 ]
机构
[1] Univ Tennessee, Dept Biochem & Cellular & Mol Biol, Knoxville, TN 37996 USA
[2] Univ Pittsburgh, Dept Computat & Syst Biol, Pittsburgh, PA 15260 USA
[3] Univ Pittsburgh, UPMC Hillman Canc Ctr, Pittsburgh, PA USA
[4] Univ Pittsburgh, Dept Phys & Astron, Pittsburgh, PA USA
基金
美国国家科学基金会;
关键词
fate specification process; genomics process; transcription process; EMT; METASTASIS; MODULARITY; CONTINUUM; SURVIVAL; PROGRAM; CELLS;
D O I
10.1002/dvg.23591
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Reversible transitions between epithelial and mesenchymal cell states are a crucial form of epithelial plasticity for development and disease progression. Recent experimental data and mechanistic models showed multiple intermediate epithelial-mesenchymal transition (EMT) states as well as trajectories of EMT underpinned by complex gene regulatory networks. In this review, we summarize recent progress in quantifying EMT and characterizing EMT paths with computational methods and quantitative experiments including omics-level measurements. We provide perspectives on how these studies can help relating fundamental cell biology to physiological and pathological outcomes of EMT.
引用
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页数:9
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