Literature DB >> 29737531

Specific expression network analysis of diabetic nephropathy kidney tissue revealed key methylated sites.

Yan-Zhe Wang1, Wen-Wei Xu1, Ding-Yu Zhu1, Nan Zhang1, Yong-Lan Wang1, Miao Ding1, Xin-Miao Xie1, Lin-Lin Sun1, Xiao-Xia Wang1.   

Abstract

Diabetic nephropathy (DN) is one of the most common and serious complication in diabetes patients. However, the evidences of gene regulation mechanism and epigenetic modification with DN remain unclear. Therefore, it is necessary to search regulating genes for early diagnosis on DN. We identified tissue specific genes through mining the gene expression omnibus (GEO) public database, enriched function by gene ontology (GO), and kyoto encyclopedia of genes and genomes (KEGG) analysis, and further compared tissue-specific network. Meanwhile, combining with differentially methylated sites, we explored the association epigenetic modification with the pathogenesis of DN. Glomeruli (Glom) may be the main tissue of signal recognition and tubulointerstitium (Tub) is mainly associated with energy metabolism in the occurrence of DN. By comparing tissue-specific networks between Glom and Tub, we screened 319 genes, which played an important role in multiple tissue on kidney. Among them, ANXA2, UBE2L6, MME, IQGAP, SLC7A7, and PLG played a key role in regulating the incidence of DN. Besides, we also identified 1 up-regulated gene (PIK3C2B) and 39 down-regulated genes (POLR2G, DDB1, and ZNF230, etc.) in the methylated data of Glom specific genes. In the Tub specific expressed genes, we identified two hypo-methylated genes (PPARA and GLS). Tub mainly caused abnormal energy metabolism, and Glom caused the changes in cell connections and histone modification. By analyzing differentially methylated sites and tissue-specific expressed genes, we found the change of methylated status about the core regulating genes may be a potential factor in the pathogenesis of DN.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  GEO; diabetic nephropathy; methylated site

Mesh:

Substances:

Year:  2018        PMID: 29737531     DOI: 10.1002/jcp.26638

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  11 in total

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