Suppr超能文献

大鼠肝细胞加权基因共表达网络分析确定了与部分肝切除术后肝脏再生相关的特定模块和枢纽基因。

Rat hepatocytes weighted gene co-expression network analysis identifies specific modules and hub genes related to liver regeneration after partial hepatectomy.

作者信息

Zhou Yun, Xu Jiucheng, Liu Yunqing, Li Juntao, Chang Cuifang, Xu Cunshuan

机构信息

College of Life Science, Henan Normal University, Xinxiang, Henan, China; Key Laboratory of Cell Differentiation and Regulation, Henan Normal University, Xinxiang, Henan, China; College of Computer and Information Engineering, Henan Normal University, Xinxiang, Henan, China.

College of Computer and Information Engineering, Henan Normal University, Xinxiang, Henan, China.

出版信息

PLoS One. 2014 Apr 17;9(4):e94868. doi: 10.1371/journal.pone.0094868. eCollection 2014.

Abstract

The recovery of liver mass is mainly mediated by proliferation of hepatocytes after 2/3 partial hepatectomy (PH) in rats. Studying the gene expression profiles of hepatocytes after 2/3 PH will be helpful to investigate the molecular mechanisms of liver regeneration (LR). We report here the first application of weighted gene co-expression network analysis (WGCNA) to analyze the biological implications of gene expression changes associated with LR. WGCNA identifies 12 specific gene modules and some hub genes from hepatocytes genome-scale microarray data in rat LR. The results suggest that upregulated MCM5 may promote hepatocytes proliferation during LR; BCL3 may play an important role by activating or inhibiting NF-kB pathway; MAPK9 may play a permissible role in DNA replication by p38 MAPK inactivation in hepatocytes proliferation stage. Thus, WGCNA can provide novel insight into understanding the molecular mechanisms of LR.

摘要

在大鼠进行2/3肝部分切除术(PH)后,肝脏质量的恢复主要由肝细胞增殖介导。研究2/3 PH术后肝细胞的基因表达谱将有助于探究肝再生(LR)的分子机制。我们在此报告首次应用加权基因共表达网络分析(WGCNA)来分析与LR相关的基因表达变化的生物学意义。WGCNA从大鼠LR的肝细胞基因组规模微阵列数据中识别出12个特定的基因模块和一些枢纽基因。结果表明,上调的MCM5可能在LR期间促进肝细胞增殖;BCL3可能通过激活或抑制NF-κB途径发挥重要作用;MAPK9可能在肝细胞增殖阶段通过使p38 MAPK失活在DNA复制中发挥允许作用。因此,WGCNA可为理解LR的分子机制提供新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d78/3990548/05dda193a941/pone.0094868.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验