ArticleJournal of molecular cell biology2022
Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage.
Article in Journal of molecular cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Mechanisms underlying the protective effects of San-Bai decoction against UV radiation on the skin.International journal of cosmetic science · 2026Article
- Quantifying Individual Health Status from Multi-omics Data by Health State Manifold.Phenomics (Cham, Switzerland) · 2025Article
- Dynamic Network Driver Analysis Identifies Master Factors Associated with Progression of Solar Lentigines.Biology · 2025Article
- A Triple-Precursor Blend as a Topical Solution to Protect the Skin Against Environmental Damage.Biology · 2025Article
- Osteopenia Metabolomic Biomarkers for Early Warning of Osteoporosis.Metabolites · 2025Article
- Using single-sample networks to identify the contrasting patterns of gene interactions and reveal the radiation dose-dependent effects in multiple tissues of spaceflight mice.NPJ microgravity · 2024Article
- Multi-modal molecular determinants of clinically relevant osteoporosis subtypes.Cell discovery · 2024Article
- Establishing Monoclonal Gammopathy of Undetermined Significance as an Independent Pre-Disease State of Multiple Myeloma Using Raman Spectroscopy, Dynamical Network Biomarker Theory, and Energy Landscape Analysis.International journal of molecular sciences · 2024Article
- Assessment of Recovery Time Effects on Human Primary Neonatal Dermal Fibroblasts After Exposure to Solar-Simulated Ultraviolet Radiation.Journal of lasers in medical sciences · 2024Article
- Review
- Oxidative stress-triggered Wnt signaling perturbation characterizes the tipping point of lung adeno-to-squamous transdifferentiation.Signal transduction and targeted therapy · 2023Article
- The single-sample network module biomarkers (sNMB) method reveals the pre-deterioration stage of disease progression.Journal of molecular cell biology · 2022Article
- Application of the Dynamical Network Biomarker Theory to Raman Spectra.Biomolecules · 2022Article
- Molecular biomarkers, network biomarkers, and dynamic network biomarkers for diagnosis and prediction of rare diseases.Fundamental research · 2022Review
- Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning.Nature communications · 2022Article
- Coevolutionary insights between promoters and transcription factors in the plant and animal kingdoms.Zoological research · 2022Article
- Intrinsic entropy model for feature selection of scRNA-seq data.Journal of molecular cell biology · 2022Article
- Single-cell entropy network detects the activity of immune cells based on ribosomal protein genes.Computational and structural biotechnology journal · 2022Article
- Identification of Key Genes as Early Warning Signals of Acute Myocardial Infarction Based on Weighted Gene Correlation Network Analysis and Dynamic Network Biomarker Algorithm.Frontiers in immunology · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.