piRNAs may regulate expression of candidate genes of esophageal adenocarcinoma

Elucidation of ways to regulate the expression of candidate cancer genes will contribute to the development of methods for cancer diagnosis and therapy. The aim of the present study was to show the role of piRNAs as efficient regulators of mRNA translation of esophageal adenocarcinoma (EAC) candidat...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in genetics Vol. 13; p. 1069637
Main Authors Akimniyazova, A N, Niyazova, T K, Yurikova, O Yu, Pyrkova, A Yu, Zhanuzakov, M A, Ivashchenko, A T
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 30.11.2022
Subjects
candidate genes
diagnostic
esophageal adenocarcinoma
Genetics
mRNA
piRNA
mRNA
diagnostic
esophageal adenocarcinoma
candidate genes
piRNA
Online AccessGet full text

Cover

More Information
Summary:Elucidation of ways to regulate the expression of candidate cancer genes will contribute to the development of methods for cancer diagnosis and therapy. The aim of the present study was to show the role of piRNAs as efficient regulators of mRNA translation of esophageal adenocarcinoma (EAC) candidate genes. We used bioinformatic methods to study the interaction characteristics of up to 200 thousand piRNAs with mRNAs of 38 candidate EAC genes. The piRNAs capable of binding to mRNA of and genes with high free energy by the formation of hydrogen bonds between canonical (G-C, A-U) and noncanonical (G-U, A-C) piRNA and mRNA nucleotide pairs were revealed. The organization of piRNA binding sites (BSs) in the mRNA of candidate genes was found to overlap nucleotide sequences to form clusters. Clusters of piRNA BSs were detected in the 5'-untranslated region, coding domain sequence, and 3'-untranslated region of mRNA. Due to the formation of piRNA binding site clusters, compaction of BSs occurs and competition between piRNAs for binding to mRNA of candidate EAC genes occurs. Associations of piRNA and candidate genes were selected for use as markers for the diagnosis of EAC.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Reviewed by: Stepan Nersisyan, National Research University Higher School of Economics, Russia
This article was submitted to Computational Genomics, a section of the journal Frontiers in Genetics
Mikhail P. Ponomarenko, Institute of Cytology and Genetics (RAS), Russia
Edited by: Yuriy L. Orlov, I. M. Sechenov First Moscow State Medical University, Russia
Elvira Galieva, Novosibirsk State University, Russia
ISSN:1664-8021
1664-8021
DOI:10.3389/fgene.2022.1069637