Literature DB >> 29914851

Integrative methylome and transcriptome analysis to dissect key biological pathways for psoriasis in Chinese Han population.

Lili Tang1, Yuyan Cheng1, Caihong Zhu1, Chao Yang1, Lu Liu1, Yuanjing Zhang1, Leilei Wen1, Xuejun Zhang2, Fusheng Zhou3, Sen Yang4.   

Abstract

BACKGROUND: Recent studies have revealed that DNA methylation (DNAm) could modulate gene expression in psoriasis (Ps). However, the relationship between whole-genome DNAm and gene expression in Ps has not been studied yet.
OBJECTIVES: To better characterize the relationship between DNAm and gene expression, and to identify biological pathways triggered by changes in methylation involved in the pathogenesis of Ps.
METHODS: Differentially methylated sites (DMSs) and differentially expressed genes (DEGs) were analysed by comparing 20 involved psoriatic (PP) skin, 20 uninvolved psoriatic (PN) skin and 20 normal (NN) skin biopsies. DEGs in negative correlation with the methylation were entered into further Gene Ontology (GO) and pathway analysis by clusterProfiler package in R program.
RESULTS: A total of 290 genes with reverse correlation overlapped in PP vs PN and PP vs NN comparisons. GO categories of reversely-associated genes mainly enriched in T cell activation, type I interferon signaling pathway and defense response to other organism. Pathway analysis revealed superior NOD-like receptor signaling pathway and Measles enriched in the differentially up-regulated transcripts and regulation of lipolysis in adipocytes in the down-regulated transcripts.
CONCLUSIONS: Our results provided a comprehensive correlation analysis of transcriptome and methylome in Ps. Increased innate immunity and decreased lipid biosynthesis play important roles in the development of psoriatic skin. This integrated analysis shed light on novel insights into the pathogenic mechanisms involved in Ps.
Copyright © 2018 Japanese Society for Investigative Dermatology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gene expression; Methylation; Pathway; Psoriasis; RNA sequencing

Mesh:

Year:  2018        PMID: 29914851     DOI: 10.1016/j.jdermsci.2018.06.001

Source DB:  PubMed          Journal:  J Dermatol Sci        ISSN: 0923-1811            Impact factor:   4.563


  6 in total

1.  Variants in PRKCE and KLC1, Potential Regulators of Type I Psoriasis.

Authors:  Jianxiao Xing; Ying Wang; Xincheng Zhao; Junqin Li; Ruixia Hou; Xuping Niu; Guohua Yin; Xinhua Li; Kaiming Zhang
Journal:  Clin Cosmet Investig Dermatol       Date:  2022-07-01

Review 2.  Epigenetics in psoriasis: perspective of DNA methylation.

Authors:  Ying Luo; Keshen Qu; Le Kuai; Yi Ru; Keke Huang; Xiaoning Yan; Meng Xing
Journal:  Mol Genet Genomics       Date:  2021-06-17       Impact factor: 3.291

Review 3.  NOD-like receptors in autoimmune diseases.

Authors:  Li Chen; Shi-Qi Cao; Ze-Min Lin; Shi-Jun He; Jian-Ping Zuo
Journal:  Acta Pharmacol Sin       Date:  2021-02-15       Impact factor: 6.150

4.  Variation at ACOT12 and CT62 locus represents susceptibility to psoriasis in Han population.

Authors:  Jianxiao Xing; Xincheng Zhao; Xiaofang Li; Ying Wang; Junqin Li; Ruixia Hou; Xuping Niu; Guohua Yin; Xinhua Li; Kaiming Zhang
Journal:  Mol Genet Genomic Med       Date:  2019-12-20       Impact factor: 2.183

5.  Unbiased transcriptome mapping and modeling identify candidate genes and compounds of osteoarthritis.

Authors:  Hui Cao; Yifan Fu; Zhenzhen Zhang; Weichun Guo
Journal:  Front Pharmacol       Date:  2022-08-10       Impact factor: 5.988

6.  Unbiased comparison and modularization identify time-related transcriptomic reprogramming in exercised rat cartilage: Integrated data mining and experimental validation.

Authors:  Jiarui Cui; Yo Shibata; Keiji Itaka; Jun Zhou; Jiaming Zhang
Journal:  Front Physiol       Date:  2022-09-15       Impact factor: 4.755

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.