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

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 molecu...

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Autores principales: Zhang, Chengming, Zhang, Hong, Ge, Jing, Mi, Tingyan, Cui, Xiao, Tu, Fengjuan, Gu, Xuelan, Zeng, Tao, Chen, Luonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782598/
https://www.ncbi.nlm.nih.gov/pubmed/34609489
http://dx.doi.org/10.1093/jmcb/mjab060
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author Zhang, Chengming
Zhang, Hong
Ge, Jing
Mi, Tingyan
Cui, Xiao
Tu, Fengjuan
Gu, Xuelan
Zeng, Tao
Chen, Luonan
author_facet Zhang, Chengming
Zhang, Hong
Ge, Jing
Mi, Tingyan
Cui, Xiao
Tu, Fengjuan
Gu, Xuelan
Zeng, Tao
Chen, Luonan
author_sort Zhang, Chengming
collection PubMed
description 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 transcriptome 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 l-DNB 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 pattern, biphasic response, and DNBs for skin lightening change, and enables us to further understand the skin resilience process after external stress.
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spelling pubmed-87825982022-01-24 Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage Zhang, Chengming Zhang, Hong Ge, Jing Mi, Tingyan Cui, Xiao Tu, Fengjuan Gu, Xuelan Zeng, Tao Chen, Luonan J Mol Cell Biol Articles 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 transcriptome 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 l-DNB 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 pattern, biphasic response, and DNBs for skin lightening change, and enables us to further understand the skin resilience process after external stress. Oxford University Press 2021-10-05 /pmc/articles/PMC8782598/ /pubmed/34609489 http://dx.doi.org/10.1093/jmcb/mjab060 Text en © The Author(s) (2021). Published by Oxford University Press on behalf of Journal of Molecular Cell Biology, CEMCS, CAS. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Zhang, Chengming
Zhang, Hong
Ge, Jing
Mi, Tingyan
Cui, Xiao
Tu, Fengjuan
Gu, Xuelan
Zeng, Tao
Chen, Luonan
Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage
title Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage
title_full Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage
title_fullStr Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage
title_full_unstemmed Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage
title_short Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage
title_sort landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782598/
https://www.ncbi.nlm.nih.gov/pubmed/34609489
http://dx.doi.org/10.1093/jmcb/mjab060
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