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通过生物信息学分析鉴定免疫球蛋白A肾病肾小球区室中的主要基因。

Identification of primary genes in glomeruli compartment of immunoglobulin A nephropathy by bioinformatic analysis.

作者信息

Miraji Mohammed Khamis, Cheng Yichun, Ge Shuwang, Xu Gang

机构信息

Department of Nephrology, Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

出版信息

PeerJ. 2019 Jul 19;7:e7067. doi: 10.7717/peerj.7067. eCollection 2019.

Abstract

The current study is aimed to explore the specific genes which are responsible for the manifestation of Immunoglobulin A nephropathy (IgAN). Gene expression profiles GSE37460, GSE93798 and GSE104948 were analyzed using biological informatics methods to identify differentially expressed genes (DEGs) in IgAN glomeruli samples which were then compared to normal control samples. Subsequently, the DEGs were overlapped to explore genes with significant expression in at least two profiles. Finally, the enrichment analysis was conducted and the protein-protein interaction (PPI) network was constructed for the overlapping DEGs. A total of 28 genes were up-regulated and 10 genes were down-regulated. The up-regulated genes including CD44 and FN1 were chiefly involved in extracellular matrix receptors interaction pathway. In addition, CX3CR1 and CCL4 were associated with chemokine signaling pathway. ITGB2, PTPRC, FN1, and FCER1G were hub genes with a high degree of interaction in the PPI network. Therefore, this study identified many significant genes associated with extracellular matrix expansion and inflammatory mechanism which may be the novel biomarker and target candidates in IgAN.

摘要

本研究旨在探索导致免疫球蛋白A肾病(IgAN)表现的特定基因。使用生物信息学方法分析基因表达谱GSE37460、GSE93798和GSE104948,以鉴定IgAN肾小球样本中的差异表达基因(DEG),然后将其与正常对照样本进行比较。随后,对DEG进行重叠分析,以探索在至少两个表达谱中具有显著表达的基因。最后,进行富集分析,并为重叠的DEG构建蛋白质-蛋白质相互作用(PPI)网络。共有28个基因上调,10个基因下调。上调的基因包括CD44和FN1,主要参与细胞外基质受体相互作用途径。此外,CX3CR1和CCL4与趋化因子信号通路相关。ITGB2、PTPRC、FN1和FCER1G是PPI网络中具有高度相互作用的枢纽基因。因此,本研究鉴定了许多与细胞外基质扩张和炎症机制相关的重要基因,这些基因可能是IgAN的新型生物标志物和候选靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad6c/6645034/c7d419ae821a/peerj-07-7067-g001.jpg

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