Impact of MICA 3'UTR allelic variability on miRNA binding prediction, a bioinformatic approach

Karen Toledo-Stuardo, Karen Dubois-Camacho, Carolina H Ribeiro, Ivo Campos, Samantha Tello, Yesenia Latorre, Claudia Altamirano, María Carmen Molina

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 host’s innate immune response to several disease settings, including cancer. MICA harbors various single nucleotide polymorphisms (SNPs) located in its 3?-untranslated region (3?UTR), 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 3?UTR 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 3?UTR 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 ?8.62 and ?18.14 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. © © 2023 Toledo-Stuardo, Ribeiro, Campos, Tello, Latorre, Altamirano, Dubois-Camacho and Molina.

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 3?UTR 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