Comprehensive and combined omics analysis reveals factors of ischemia-reperfusion injury in liver transplantation

Shanzhou Huang, Weiqiang Ju, Zebin Zhu, Ming Han, Chengjun Sun, Yunhua Tang, Yuchen Hou, Zhiheng Zhang, Jie Yang, Yixi Zhang, Linhe Wang, Fanxiong Lin, Haitian Chen, Rongxing Xie, Caihui Zhu, Dongping Wang, Linwei Wu, Qiang Zhao, Maogen Chen, Qi ZhouZhiyong Guo, Xiaoshun He

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Aim: To explore molecular mechanisms underlying liver ischemia-reperfusion injury (IRI). Materials & methods: Four Gene Expression Omnibus datasets comprising liver transplantation data were collected for a comprehensive analysis. A proteomic analysis was performed and used for correlations analysis with transcriptomic. Results & conclusion: Ten differentially expressed genes were co-upregulated in four Gene Expression Omnibus datasets, including ATF3, CCL4, DNAJB1, DUSP5, JUND, KLF6, NFKBIA, PLAUR, PPP1R15A and TNFAIP3. The combined analysis demonstrated ten coregulated genes/proteins, including HBB, HBG2, CA1, SLC4A1, PLIN2, JUNB, HBA1, MMP9, SLC2A1 and PADI4. The coregulated differentially expressed genes and coregulated genes/proteins formed a tight interaction network and could serve as the core factors underlying IRI. Comprehensive and combined omics analyses revealed key factors underlying liver IRI, and thus having potential clinical significance.

Original languageEnglish (US)
Pages (from-to)527-542
Number of pages16
JournalEpigenomics
Volume11
Issue number5
DOIs
StatePublished - Apr 2019

Keywords

  • combined analysis
  • comprehensive analysis
  • ischemia-reperfusion injury
  • liver transplantation
  • proteome
  • transcriptome

ASJC Scopus subject areas

  • Genetics
  • Cancer Research

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