Literature DB >> 30205399

A Time-Series Analysis of Severe Burned Injury of Skin Gene Expression Profiles.

Hai-Ting Xu1, Jian-Chun Guo2, Hua-Zhen Liu3, Wan-Wan Jin4.   

Abstract

BACKGROUND/AIMS: Major burn injury is one of the main severe forms of wound which lead to a mass of clinical debilitation, this study was to identify core biomarkers for the recovery of severe burned injury.
METHODS: Gene expression profiles (GSE19743) from the Gene Expression Omnibus (GEO) was downloaded, followed by background correction, normalization of raw microarray dataset and identification of differential expression genes (DEGs) . Soft clustering of DEGs was used for the screening of gene clusters that with sustained increasing (SIG) and decreasing expression (SDG) profiles along with the recovery process of burned injury. The significantly enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of SIGs and SDGs were obtained through the Database for Annotation, Visualization, and Integrated Discovery (DAVID), based on which the miRNA-gene regulation network for SIGs and SDGs were constructed from the miRWalk database.
RESULTS: Ten clusters were obtained through soft clustering. The SIGs and SDGs were found to be closely associated with the biological processes of immune system. The miRNA-gene regulation network analysis suggested different roles between SIGs and SDGs in the recovery of severe burned injury. Furthermore, a bunch of important biomarkers were identified, which would be helpful in the treatment of burned patients.
CONCLUSION: Our current findings suggest an interesting molecular link between transcriptional regulation potentially involved in immunosuppressive state after major burn injury, which warrants further exploration for their utilization in the treatment of major burn injury.
© 2018 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  Burned ; DAVID ; Geo ; R; Soft clustering

Mesh:

Substances:

Year:  2018        PMID: 30205399     DOI: 10.1159/000493451

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  3 in total

1.  Identification of Key Genes Associated with Changes in the Host Response to Severe Burn Shock: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database.

Authors:  Xiao Fang; Shu-Fang Duan; Yu-Zhou Gong; Fei Wang; Xu-Lin Chen
Journal:  J Inflamm Res       Date:  2020-12-01

2.  Bioinformatics analysis combined with experiments to verify potential autophagy genes in wound healing.

Authors:  Yong-Fang Wu; Da-Lang Fang; Jie Wei
Journal:  Ann Transl Med       Date:  2022-06

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

Authors:  Chengming Zhang; Hong Zhang; Jing Ge; Tingyan Mi; Xiao Cui; Fengjuan Tu; Xuelan Gu; Tao Zeng; Luonan Chen
Journal:  J Mol Cell Biol       Date:  2022-01-21       Impact factor: 6.216

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.