Comprehensive and Combined Omics Analysis Reveals Factors of Ischemia-Reperfusion Injury in Liver Transplantation

作者：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 Zhou, Zhiyong Guo, Xiaoshun He · 发表于：Epigenomics · 年份：2019 · DOI：10.2217/epi-2018-0189 · 被引用次数：33 · 研究领域：Organ Transplantation Techniques and Outcomes、Liver Disease Diagnosis and Treatment、Metabolomics and Mass Spectrometry Studies

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.