ZNF362 神经发育 神经系统疾病

… but cause profound 54 neurodevelopmental phenotypes in … that neutralizes the 180 upstream ZNF362 activator site. However, … 184 This suggests that the factor(s) binding to the ZNF362 …

Abstract Purpose Duchenne muscular dystrophy (DMD) is currently the most commonly diagnosed form of muscular dystrophy due to mutations in the dystrophin gene. However, its pathological process remains unknown and there is a lack of specific molecular biomarkers. The aim of our study is to explore key regulatory connections underlying the progression of DMD. Materials and methods The gene expression profile dataset GSE38417 of DMD was obtained from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between DMD patients and healthy controls were screened using geo2R, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) pathway enrichment analyses. Then a protein–protein interaction (PPI) network and sub-network of modules were constructed. To investigate the regulatory network underlying DMD, a global triple network including miRNAs, mRNAs and transcription factors (TFs) was constructed. Results A total of 1811 DEGs were found between the DMD and control groups, among which HERC5, SKP2 and FBXW5 were defined as hub genes with a degree of connectivity >35 in the PPI network. Furthermore, the five TFs ZNF362, ATAT1, SPI1, TCF12 and ABCF2, as well as the eight miRNAs miR-124a, miR-200b/200c/429, miR-19a/b, miR-23a/b, miR-182, miR-144, miR-498 and miR-18a/b were identified as playing crucial roles in the molecular pathogenesis of DMD. Conclusions This paper provides a comprehensive perspective on the miRNA–TF–mRNA co-regulatory network underlying DMD, although the bioinformatic findings need further validation in future studies.

… In addition to PRKACA, one additional gene, ZNF362, harboring a recurrent somatic mutation found in three individuals (Table S3), was found to be significantly enriched genome wide …