SMAD7 and SERPINE1 as novel dynamic network biomarkers detect and regulate the tipping point of TGF-beta induced EMT
SMAD7 and SERPINE1 as novel dynamic network biomarkers detect and regulate the tipping point of TGF-beta induced EMT
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SMAD7 和 SERPINE1 作为新型动态网络生物标志物检测和调节 TGF-β 诱导的 EMT 临界点
DOI:
10.1016/j.scib.2020.01.013
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发表时间:
2020-05-30
期刊:
影响因子:
18.9
通讯作者:
Chen, Luonan
中科院分区:
文献类型:
--
作者:
Jiang, Zhonglin;Lu, Lina;Chen, Luonan
Epithelial-mesenchymal transition (EMT) is a complex nonlinear biological process that plays essential roles in fundamental biological processes such as embryogenesis, wounding healing, tissue regeneration, and cancer metastasis. A hallmark of EMT is the switch-like behavior during state transition, which is characteristic of phase transitions. Hence, detecting the tipping point just before mesenchymal state transition is critical for understanding molecular mechanism of EMT. Through dynamic network biomarkers (DNB) model, a DNB group with 37 genes was identified which can provide the early-warning signals of EMT. Particularly, we found that two DNB genes, i.e., SMAD7 and SERPINE1 promoted EMT by switching their regulatory network which was further validated by biological experiments. Survival analyses revealed that SMAD7 and SERPINE1 as DNB genes further acted as prognostic biomarkers for lung adenocarcinoma. (C) 2020 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.