Murugesan Manikandan, Premkumar Kumpati
Cancer Genetics and Nanomedicine Laboratory, Department of Biomedical Science, School of Basic Medical Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India.
Cancer Genetics and Nanomedicine Laboratory, Department of Biomedical Science, School of Basic Medical Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India.
Biochem Biophys Res Commun. 2018 Apr 6;498(3):437-444. doi: 10.1016/j.bbrc.2018.02.194. Epub 2018 Feb 28.
Despite, several lines of evidence suggesting the possible role of hypoxia in stem cell development and differentiation its significance in conferring the stemness and pluripotency remains elusive. In the present study we sought to delineate the candidate genes and molecular pathways imposed during hypoxic microenvironment and its physiological relevance in tipping the balance between the niche and cellular differentiation. Integrated meta-analysis was performed between the hypoxia exposed and normal human embryonic stem cells, employing three transcriptomic cohorts (GSE35819, GSE9510 and GSE37761) retrieved from Gene expression omnibus (GEO) database. Results reveal that a total number of 12 genes were consistently differentially expressed (6up regulated and 6 down regulated) with FDR <0.05 and fold change >1.5. The Gene Ontology (GO) functions and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis was performed using DAVID. The GO analysis showed DEG significantly enriched in terms of Cellular process (GO:0009987), protein binding (GO:0005515) and cell part (GO:0044464). KEGG analysis indicated participation of genes associated with circadian rthyum regulation and PPAR signalling pathway. Further, gene-set signature (MsigDB) enrichment analysis showed positive regulation with inflammatory signals and negative association with PPAR and p53 pathway. Protein-protein network of gene modules suggests significant hub proteins viz. CTTNB1 (Degree = 18), IL8 (Degree = 15), NFKB1 (Degree = 15) and RELA (Degree = 15) in the PPI network. MCODE algorithm was used for subnetworks of the PPI network. Our integrative analysis documents the potential candidate genes which serves distinct roles influencing metabolic shift and induce inflammatory effectors contributing to hypoxic mediated stem cell niche.
尽管有几条证据表明缺氧在干细胞发育和分化中可能发挥作用,但其在赋予干性和多能性方面的意义仍然难以捉摸。在本研究中,我们试图描绘在缺氧微环境中施加的候选基因和分子途径,以及其在调节生态位和细胞分化之间平衡方面的生理相关性。我们对缺氧处理的和正常的人类胚胎干细胞进行了综合荟萃分析,使用从基因表达综合数据库(GEO)检索到的三个转录组队列(GSE35819、GSE9510和GSE37761)。结果显示,共有12个基因持续差异表达(6个上调和6个下调),错误发现率(FDR)<0.05且变化倍数>1.5。使用DAVID进行基因本体(GO)功能和京都基因与基因组百科全书(KEGG)通路分析。GO分析表明,差异表达基因在细胞过程(GO:0009987)、蛋白质结合(GO:0005515)和细胞部分(GO:0044464)方面显著富集。KEGG分析表明,与昼夜节律调节和PPAR信号通路相关的基因参与其中。此外,基因集特征(MsigDB)富集分析显示与炎症信号呈正调控,与PPAR和p53通路呈负相关。基因模块的蛋白质-蛋白质网络表明,在蛋白质-蛋白质相互作用(PPI)网络中有重要的枢纽蛋白,即CTTNB1(度=18)、IL8(度=15)、NFKB1(度=15)和RELA(度=15)。使用MCODE算法分析PPI网络的子网。我们的综合分析记录了潜在的候选基因,这些基因在影响代谢转变和诱导炎症效应因子方面发挥着不同作用,有助于缺氧介导的干细胞生态位。