Bioinformatics Analysis of Key Differentially Expressed Genes in Nonalcoholic Fatty Liver Disease Mice Models
Bioinformatics Analysis of Key Differentially Expressed Genes in Nonalcoholic Fatty Liver Disease Mice Models
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DOI：
10.3727/105221618x15341831737687
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发表时间：
2018-01-01
期刊：
影响因子：
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通讯作者：
Zheng, Kuiyang
中科院分区：
文献类型：
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作者：
Hou, Chao;Feng, Wenwen;Zheng, Kuiyang
非酒精性脂肪性肝病（NAFLD）是一种全球性的健康问题，其特征是肝脏中脂肪的过度积累，而不受其他病理因素的影响，包括肝炎感染和酒精滥用。目前的研究表明，基因因素在NAFLD的发生发展中起重要作用。然而，差异表达基因（DEG）的分子特征和NAFLD相关机制尚未得到很好的阐明。利用两个与NAFLD小鼠模型肝组织基因表达谱相关的微阵列数据，我们鉴定并选择了几个导致NAFLD的常见关键DEG。基于生物信息学分析，我们发现DEG与多种生物学过程、细胞组分和分子功能相关，还与几条重要的通路相关。通过基于重叠DEG的通路串扰分析，我们观察到所识别的通路可以形成大而复杂的串扰网络。此外，还进一步构建了大规模、复杂的DEG蛋白质相互作用网络。此外，许多具有高度连接性的枢纽主机因素被确定的基础上的相互作用网络。此外，在相互作用网络中的重要模块被发现，并在所确定的模块中的DEG被发现是丰富的独特的途径。总之，这些结果表明，关键的DEG，相关的途径和模块有助于NAFLD的发展，并可能用作治疗NAFLD的新的分子靶点。
Nonalcoholic fatty liver disease (NAFLD) is a global health problem characterized by excessive accumulation of fat in the liver without effect of other pathological factors including hepatitis infection and alcohol abuse. Current studies indicate that gene factors play important roles in the development of NAFLD. However, the molecular characteristics of differentially expressed genes (DEGs) and associated mechanisms with NAFLD have not been well elucidated. Using two microarray data associated with the gene expression profiling in liver tissues of NAFLD mice models, we identified and selected several common key DEGs that contributed to NAFLD. Based on bioinformatics analysis, we discovered that the DEGs were associated with a variety of biological processes, cellular components, and molecular functions and were also related to several significant pathways. Via pathway crosstalk analysis based on overlapping DEGs, we observed that the identified pathways could form large and complex crosstalk networks. Besides, large and complex protein interaction networks of DEGs were further constructed. In addition, many hub host factors with a high degree of connectivity were identified based on interaction networks. Furthermore, significant modules in interaction networks were found, and the DEGs in the identified modules were found to be enriched with distinct pathways. Taken together, these results suggest that the key DEGs, associated pathways, and modules contribute to the development of NAFLD and might be used as novel molecular targets for the treatment of NAFLD.