Search for binding sites for micro RNA in cisregulatory sequences and in SNP in the lipid, carbohydrate metabolism, oxidative and antiinflammatory homeostasis genes

Abstract

Background: Polymorphisms and disruption of the expression profile of miRNA genes are associated with systemic diseases (autoimmune and cardiovascular diseases). The aim of the study: To study the localization of miRNA binding sites to mRNA in cis-regulatory regions of genes and in the coding sequences of DNA (CDS) associated in our studies with early and late atherosclerosis, and to search for possible localization of binding sites to microRNAs with gene sites (PPARGC1A; LIPC; PON1; APOE; LPL; APOC3; EDN; TNFα; SERPINE1). Materials and methods: The search for homologous micro RNA motifs was carried out in the cisregulatory regions of the studied genes with the help of the bio-information package MEME Suite. Known miRNAs were taken from the miRBase database (http://mirbase.org/). Nucleotide sequences of cis-regulatory regions and gene introns were obtained from the NCBI database (http://www.ncbi.nlm.nih.gov/) using a set of scripts, IFITCH, designed to automatically retrieve data from NCBI sequences. The "miRBase" database was analyzed using automated search for binding sites in the original sequence using the MScanner classifier. 28645 microRNAs were registered (http://www.mirbase.org). Results: The results of the bioinformational search for the localization of motifs homologous to known microRNAs before and after the gene, as well as in the coding protein sequences and introns of the following genes: PON1, APOC3, LIPC, LPL, APOE, PPARGC1A, TNF, EDN, SERPIN showed that in genes and intergenic spaces there are a large number of motifs homologous to mature micro-RNA. The greatest absolute number of motifs is localized within the PPARGC1A gene-22 microRNAs. However, if we consider the relative frequency

Insilico Test of Functional Role of rs8068318 Polymorphism of Arterial Hypertension-Associated TBX2 Candidate Gene

“…The results were considered significant at p 510 -8 . In addition, the researchers examined the presence of associations with phenotypes having arterial hypertension, common biological pathways; regulatory potential (regSNP) and effects on gene expression (eSNP); association with non-synonymous substitutions (nsSNPs), as well as the functional effects of these nsSNPs; the frequency of occurrence of polymorphic loci in the study population minimum 5%; functional effects (regSNP, eSNP, with SNPs selected for analysis [Neskubina et al, 2019]. Regulatory potential was estimated using the HaploReg online software (v4.1) (http://archive.broadinstitute.org/mammals/haploreg/haplo reg.php), GTExportal (http://www.gtexportal.org/) and Ensembl (www.ensembl.org).…”