PTEN公司
基因
恶性转化
转化(遗传学)
肺癌
基因调控网络
癌症研究
化学
基因表达
引爆点(物理)
生物
细胞生物学
遗传学
信号转导
医学
肿瘤科
PI3K/AKT/mTOR通路
电气工程
工程类
作者
Shen Chen,Daochuan Li,Dianke Yu,Miao Li,Lizhu Ye,Jiang Yue,Shijie Tang,Rui Zhang,Chi Xu,Shuyun Jiang,Ziwei Wang,Michael Aschner,Yuxin Zheng,Liping Chen,Wen Chen
标识
DOI:10.1016/j.jhazmat.2021.128089
摘要
The dynamic network biomarkers (DNBs) are designed to identify the tipping point and specific molecules in initiation of PM2.5-induced lung cancers. To discover early-warning signals, we analyzed time-series gene expression datasets over a course of PM2.5 organic extraction-induced human bronchial epithelial (HBE) cell transformation (0th~16th week). A composition index of DNB (CIDNB) was calculated to determine correlations and fluctuations in molecule clusters at each timepoint. We identified a group of genes with the highest CIDNB at the 10th week, implicating a tipping point and corresponding DNBs. Functional experiments revealed that manipulating respective DNB genes at the tipping point led to remarkable changes in malignant phenotypes, including four promoters (GAB2, NCF1, MMP25, LAPTM5) and three suppressors (BATF2, DOK3, DAP3). Notably, co-altered expression of seven core DNB genes resulted in an enhanced activity of malignant transformation compared to effects of single-gene manipulation. Perturbation of pathways (EMT, HMGB1, STAT3, NF-κB, PTEN) appeared in HBE cells at the tipping point. The core DNB genes were involved in regulating lung cancer cell growth and associated with poor survival, indicating their synergistic effects in initiation and development of lung cancers. These findings provided novel insights into the mechanism of dynamic networks attributable to PM2.5-induced cell transformation.
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