Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage

• 作者: Chengming Zhang Hong Zhang Jing Ge Tingyan Mi Xiao Cui Fengjuan Tu Xuelan Gu Tao Zeng Luonan Chen
• 来源期刊: 分子细胞生物学报（英文版）
• 年，卷（期）: 2021,（11）
• 所属期刊栏目: Articles
• 页码范围: 822-833
• 页数: 12页
• 语种: 英文
• DOI: 10.1093/jmcb/mjab060

摘要

Skin,as the outmost layer of human body,is frequently exposed to environmental stressors including pollutants and ultraviolet(UV),which could lead to skin disorders.Generally,skin response process to ultraviolet B (UVB) irradiation is a nonlinear dynamic process,with unknown underlying molecular mechanism of critical transition.Here,the landscape dynamic network biomarker (l-DNB) analysis of time series transcdptome data on 3D skin model was conducted to reveal the complicated process of skin response to UV irradiation at both molecular and network levels.The advanced bDNB analysis approach showed that:(i) there was a tipping point before critical transition state during pigmentation process,validated by 3D skin model;(ii) 13 core DNB genes were identified to detect the tipping point as a network biomarker,supported by computational assessment;(iii) core DNB genes such as COL7A1 and CTNNB1 can effectively predict skin lightening,validated by independent human skin data.Overall,this study provides new insights for skin response to repetitive UVB irradiation,including dynamic pathway pattem,biphasic response,and DNBs for skin lightening change,and enables us to further understand the skin resilience process after external stress.