MicroRNA Target Identification: Revisiting Accessibility and Seed Anchoring - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Genes Year : 2023

MicroRNA Target Identification: Revisiting Accessibility and Seed Anchoring

Abstract

By pairing to messenger RNAs (mRNAs for short), microRNAs (miRNAs) regulate gene expression in animals and plants. Accurately identifying which mRNAs interact with a given miRNA and the precise location of the interaction sites is crucial to reaching a more complete view of the regulatory network of an organism. Only a few experimental approaches, however, allow the identification of both within a single experiment. Computational predictions of miRNA–mRNA interactions thus remain generally the first step used, despite their drawback of a high rate of false-positive predictions. The major computational approaches available rely on a diversity of features, among which anchoring the miRNA seed and measuring mRNA accessibility are the key ones, with the first being universally used, while the use of the second remains controversial. Revisiting the importance of each is the aim of this paper, which uses Cross-Linking, Ligation, And Sequencing of Hybrids (CLASH) datasets to achieve this goal. Contrary to what might be expected, the results are more ambiguous regarding the use of the seed match as a feature, while accessibility appears to be a feature worth considering, indicating that, at least under some conditions, it may favour anchoring by miRNAs.
Fichier principal
Vignette du fichier
2023_Homberg_Genes.pdf (7.41 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Licence : CC BY - Attribution

Dates and versions

hal-04297957 , version 1 (21-11-2023)

Licence

Attribution

Identifiers

Cite

Nicolas Homberg, Mariana Galvão Ferrarini, Christine Gaspin, Marie-France Sagot. MicroRNA Target Identification: Revisiting Accessibility and Seed Anchoring. Genes, 2023, 14 (3), pp.664. ⟨10.3390/genes14030664⟩. ⟨hal-04297957⟩
56 View
5 Download

Altmetric

Share

Gmail Facebook X LinkedIn More