Impact of MICA 3'UTR allelic variability on miRNA binding prediction, a bioinformatic approach
Keywords: MICA, SNP, miRNA, post-transcriptional regulation, allelic variation, 3'UTR
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs that participate as powerful genetic regulators. MiRNAs can interfere with cellular processes by interacting with a broad spectrum of target genes under physiological and pathological states, including cancer development and progression. Major histocompatibility complex major histocompatibility complex class I-related chain A (MICA) belongs to a family of proteins that bind the natural-killer group 2, member D (NKG2D) receptor on Natural Killer cells and other cytotoxic lymphocytes. MICA plays a crucial role in the hostâs innate immune response to several disease settings, including cancer. MICA harbors various single nucleotide polymorphisms (SNPs) located in its 3â²-untranslated region (3â²UTR), a characteristic that increases the complexity of MICA regulation, favoring its post-transcriptional modulation by miRNAs under physiological and pathological conditions. Here, we conducted an in-depth analysis of MICA 3â²UTR sequences according to each MICA allele described to date using NCBI database. We also systematically evaluated interactions between miRNAs and their putative targets on MICA 3â²UTR containing SNPs using in silico analysis. Our in silico results showed that MICA SNPs rs9266829, rs 1880, and rs9266825, located in the target sequence of miRNAs hsa-miR-106a-5p, hsa-miR-17-5p, hsa-miR-20a-5p, hsa-miR-20b-5p, hsa-miR-93, hsa-miR-1207.5p, and hsa-miR-711 could modify the binding free energy between â8.62 and â18.14Â kcal/mol, which may affect the regulation of MICA expression. We believe that our results may provide a starting point for further exploration of miRNA regulatory effects depending on MICA allelic variability; they may also be a guide to conduct miRNA in silico analysis for other highly polymorphic genes.
Más información
| Título según WOS: | Impact of MICA 3′UTR allelic variability on miRNA binding prediction, a bioinformatic approach |
| Título según SCOPUS: | Impact of MICA 3â²UTR allelic variability on miRNA binding prediction, a bioinformatic approach |
| Título de la Revista: | Frontiers in Genetics |
| Volumen: | 14 |
| Editorial: | FRONTIERS MEDIA SA |
| Fecha de publicación: | 2023 |
| Idioma: | English |
| DOI: |
10.3389/fgene.2023.1273296 |
| Notas: | ISI, SCOPUS |