Shanzhou Huang1,2,3, Weiqiang Ju1,2,3, Zebin Zhu1,2,3, Ming Han1,2,3, Chengjun Sun1,2,3, Yunhua Tang1,2,3, Yuchen Hou1,2,3, Zhiheng Zhang1,2,3, Jie Yang1,2,3, Yixi Zhang1,2,3, Linhe Wang1,2,3, Fanxiong Lin1,2,3, Haitian Chen1,2,3, Rongxing Xie1,2,3, Caihui Zhu1,2,3, Dongping Wang1,2,3, Linwei Wu1,2,3, Qiang Zhao1,2,3, Maogen Chen1,2,3, Qi Zhou4,5, Zhiyong Guo1,2,3, Xiaoshun He1,2,3. 1. Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China. 2. Guangdong Provincial Key Laboratory of Organ Donation & Transplant Immunology, Guangzhou 510080, PR China. 3. Guangdong Provincial International Cooperation Base of Science & Technology (Organ Transplantation), Guangzhou 510080, PR China. 4. Department of General Surgery, Hui Ya Hospital of The First Affiliated Hospital, Sun Yat-sen University, Huizhou, Guangdong 516081, PR China. 5. Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, PR China.
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.
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.