ArticleInternational journal of molecular medicine2020
Prediction of crucial epigenetically‑associated, differentially expressed genes by integrated bioinformatics analysis and the identification of S100A9 as a novel biomarker in psoriasis.
Article in International journal of molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Pooled it
- Zonula occludens-1 distribution and barrier functions are affected by epithelial proliferation and turnover rates.Cell proliferation · 2023Article
- Pan-cancer investigation of psoriasis-related BUB1B gene: genetical alteration and oncogenic immunology.Scientific reports · 2023Article
- Identification of Novel Hub Genes Associated with Psoriasis Using Integrated Bioinformatics Analysis.International journal of molecular sciences · 2022Article
- Interleukin-17 Links Inflammatory Cross-Talks Between Comorbid Psoriasis and Atherosclerosis.Frontiers in immunology · 2022Review
- Identification of Diagnostic Biomarkers in Systemic Lupus Erythematosus Based on Bioinformatics Analysis and Machine Learning.Frontiers in genetics · 2022Article
- Updated Perspectives on Keratinocytes and Psoriasis: Keratinocytes are More Than Innocent Bystanders.Psoriasis (Auckland, N.Z.) · 2022Review
- Pregnancy exposure to synthetic phenols and placental DNA methylation - An epigenome-wide association study in male infants from the EDEN cohort.Environmental pollution (Barking, Essex : 1987) · 2021Article
- Contribution of Dysregulated DNA Methylation to Autoimmunity.International journal of molecular sciences · 2021Review
- Skin Barrier Dysregulation in Psoriasis.International journal of molecular sciences · 2021Review
- Comprehensive Analysis of the Transcriptome-Wide m6A Methylation Modification Difference in Liver Fibrosis Mice by High-Throughput m6A Sequencing.Frontiers in cell and developmental biology · 2021Article
- Transcriptome-Wide High-Throughput m6A Sequencing of Differential m6A Methylation Patterns in the Human Rheumatoid Arthritis Fibroblast-Like Synoviocytes Cell Line MH7A.Journal of inflammation research · 2021Article
- Transcriptomic landscaping of core genes and pathways of mild and severe psoriasis vulgaris.International journal of molecular medicine · 2021Article
- TET2 is involved in DNA hydroxymethylation, cell proliferation and inflammatory response in keratinocytes.Molecular medicine reports · 2020Article
- Review-Current Concepts in Inflammatory Skin Diseases Evolved by Transcriptome Analysis: In-Depth Analysis of Atopic Dermatitis and Psoriasis.International journal of molecular sciences · 2020Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Psoriasis is one of the most common immune‑mediated inflammatory diseases of the skin. The identification of the pivotal molecular mechanisms responsible for the disease pathogenesis may lead to the development of novel therapeutic options. The present study aimed to identify pivotal differentially expressed genes (DEGs) and methylated DEGs in psoriasis. The raw data from gene microarrays were obtained from the Gene Expression Omnibus database. The data were processed using packages in Bioconductor. In total, 352 upregulated and 137 downregulated DEGs were identified. The upregulated DEGs were primarily enriched in the 'innate immune defense' response and the 'cell cycle'. The downregulated DEGs were primarily enriched in 'cell adhesion' and 'tight junction pathways'. A total of 95 methylated DEGs were identified, which were significantly enriched in the 'interleukin (IL)‑17 signaling pathway' and the 'response to interferon'. Based on a comprehensive evaluation of all algorithms in cytoHubba, the key epigenetic‑associated hub genes (S100A9, SELL, FCGR3B, MMP9, S100A7, IL7R, IRF7, CCR7, IFI44, CXCL1 and LCN2) were screened out. In order to further validate these genes, the present study constructed a model of imiquimod (IMQ)‑induced psoriasiform dermatitis using mice. The levels of these hub genes were increased in the IMQ group. The knockdown of methylation‑regulating enzyme ten‑eleven translocation (TET) 2 expression in mice attenuated the expression levels of S100A9, SELL, IL7R, MMP9, CXCL1 and LCN2. Furthermore, the hydroxymethylated level of S100A9 was highly expressed in the IMQ group and was significantly decreased by TET2 deficiency in mice. On the whole, using an integrative system bioinformatics approach, the present study identified a series of characteristic enrichment pathways and key genes that may serve as potential biomarkers in psoriasis.
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Registered trials
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