Computational prediction of miRNA/mRNA duplexomes at the whole human genome scale reveals functional subnetworks of interacting genes with embedded miRNA annealing motifs.
RNA annealing
mRNA collection
miRNA
subclasses of mRNA
Journal
Computational biology and chemistry
ISSN: 1476-928X
Titre abrégé: Comput Biol Chem
Pays: England
ID NLM: 101157394
Informations de publication
Date de publication:
Oct 2020
Oct 2020
Historique:
received:
27
07
2020
revised:
18
08
2020
accepted:
19
08
2020
pubmed:
30
8
2020
medline:
21
5
2021
entrez:
30
8
2020
Statut:
ppublish
Résumé
Perfect annealing between microRNAs (miRNAs) and messenger RNAs (mRNAs) was computationally searched at a broad scale in the human genome to determine whether theoretical pairing is restrictively represented in functional subnetworks or is randomly distributed. Massive RNA interference (RNAi) pairing motifs in genes constitute a remarkable subnetwork that displays highly genetically and biochemically interconnected genes. These analyses show unexpected repertoires of genes defined by their congruence in comatching with miRNAs at numerous sites and by their interconnection based on protein/protein interactions or proteins regulating the activity of others. This offers insights into the putatively coregulated homeostasis of large networks of genes by RNAi, whereas other networks seem to be independent of this regulatory mode. Genes accordingly defined by theoretical RNAi pairing cluster mainly in subnetworks related to cellular, metabolic and developmental processes and their regulation. Indeed, genes harboring numerous potential sites of hybridization with miRNAs are highly enriched with GO terms depicting the abovementioned processes and are grouped in a subnetwork of genes that are significantly more highly connected than they would be according to a random distribution. The significant number of interacting genes that present numerous potential comatches with miRNAs suggests that they may be under the control of the integrative and concerted action of multiple miRNAs.
Identifiants
pubmed: 32861159
pii: S1476-9271(20)30927-0
doi: 10.1016/j.compbiolchem.2020.107366
pii:
doi:
Substances chimiques
MicroRNAs
0
RNA, Messenger
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
107366Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.