Literature DB >> 29239787

Deciphering psoriasis. A bioinformatic approach.

Juan L Melero1, Sergi Andrades1, Lluís Arola1, Antoni Romeu2.   

Abstract

BACKGROUND: Psoriasis is an immune-mediated, inflammatory and hyperproliferative disease of the skin and joints. The cause of psoriasis is still unknown. The fundamental feature of the disease is the hyperproliferation of keratinocytes and the recruitment of cells from the immune system in the region of the affected skin, which leads to deregulation of many well-known gene expressions.
OBJECTIVE: Based on data mining and bioinformatic scripting, here we show a new dimension of the effect of psoriasis at the genomic level.
METHODS: Using our own pipeline of scripts in Perl and MySql and based on the freely available NCBI Gene Expression Omnibus (GEO) database: DataSet Record GDS4602 (Series GSE13355), we explore the extent of the effect of psoriasis on gene expression in the affected tissue.
RESULTS: We give greater insight into the effects of psoriasis on the up-regulation of some genes in the cell cycle (CCNB1, CCNA2, CCNE2, CDK1) or the dynamin system (GBPs, MXs, MFN1), as well as the down-regulation of typical antioxidant genes (catalase, CAT; superoxide dismutases, SOD1-3; and glutathione reductase, GSR). We also provide a complete list of the human genes and how they respond in a state of psoriasis.
CONCLUSION: Our results show that psoriasis affects all chromosomes and many biological functions. If we further consider the stable and mitotically inheritable character of the psoriasis phenotype, and the influence of environmental factors, then it seems that psoriasis has an epigenetic origin. This fit well with the strong hereditary character of the disease as well as its complex genetic background.
Copyright © 2017 Japanese Society for Investigative Dermatology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Epigenetics; Gene expression; Keratinocyte; Psoriasis

Mesh:

Year:  2017        PMID: 29239787     DOI: 10.1016/j.jdermsci.2017.11.010

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


  5 in total

1.  Full-Length Transcriptome Sequencing Analysis of Differentially Expressed Genes and Pathways After Treatment of Psoriasis With Oxymatrine.

Authors:  Xiaoxiao Xue; Jiayu Yu; Cheng Li; Fang Wang; Yatao Guo; Yongwen Li; Huijuan Shi
Journal:  Front Pharmacol       Date:  2022-06-03       Impact factor: 5.988

2.  CCNB1 and CCNB2 involvement in the pathogenesis of psoriasis: a bioinformatics study.

Authors:  An-Hai Li; Yong-Qing Chen; Yu-Qian Chen; Yun Song; Ding Li
Journal:  J Int Med Res       Date:  2022-08       Impact factor: 1.573

Review 3.  Advances in the modulation of ROS and transdermal administration for anti-psoriatic nanotherapies.

Authors:  Jiangmei Xu; Hao Chen; Haisheng Qian; Fei Wang; Yunsheng Xu
Journal:  J Nanobiotechnology       Date:  2022-10-14       Impact factor: 9.429

4.  The paeonol target gene autophagy-related 5 has a potential therapeutic value in psoriasis treatment.

Authors:  Qian Zhang; Hongqiao Shi; Jiaan Zhang; Chenxue Jiang; Chunxiang Zhou
Journal:  PeerJ       Date:  2021-05-25       Impact factor: 2.984

5.  Is there a relationship between psoriasis and hepatitis C? A meta-analysis and bioinformatics investigation.

Authors:  Yong Liu; Sheng Nan Cui; Meng Yao Duan; Zhi Li Dou; Yi Zhen Li; Yi Xing Liu; Ye Xia; Jia Wei Zhang; Xiao Ning Yan; Dong Ran Han
Journal:  Virol J       Date:  2021-07-02       Impact factor: 4.099

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.