Target gene prediction and bioinformatics characteristics analysis of human miR-425
Abstract:Objecit ve To investigate the transcriptional regulation ,target gene function and protein-protein interaction of the human miR-425 ( has-miR-425 ) by bioinformatics tools in order to provide theoretical basis for researching its role in cell regulation and control .Methods The has-miR-425 sequences in different species ,the distribution of CpG island within 10 KB upstream and downstream in genome , the transcription start sites ( TSS ) and transcription factor binding position ( TFBS) were analyzed by using miRBase ,UCSC Genome Browser database .The three calculation methods of targetscan ,pictar and miRanda were adopted to predict the target gene of has-miR-425 .The intersectional target genes of the three prediction results were analyzed by annotation description and enrichment analysis .The STRING software was used to analyze the intersectional target genes , protein-protein interaction .Results The has-miR-425 sequences were highly conserved among human,rat,rhesus monkey and chimpanzee ,and has-miR-425 might have independent promoter .The 319 potential target genes were forecasted ,and these target genes were mainly involved in the biological processes such as protein dephosphorylation , cellular response to nitrogen compound and response to nitrogen compound .The molecular functions mainly included enzyme binding,transferase activity, metal ion binding and so on, however, the main cell components were membrane-bounded organelle,intracellular membrane-bounded organelle and nucleus .The protein-protein interaction analysis showed that the correlation degree between PAFAH1B1 and DYNC1I2 and between MAP2K6 and ZAK was the highest .Conclusion The research resullts provide an important theoretical basis for the researches about function and regulation mechanism of has-miR-425 in cell regulation and control through the analysis of has-miR-425 transcriptional regulatory elements and target genes.
Keywords:miR-425transcriptional controltarget gene predictionbioinformatics
Publication Date:2017-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 977-980 )
