학술논문
miRTil: An Extensive Repository for Nile Tilapia microRNA Next Generation Sequencing Data.
Document Type
Academic Journal
Author
Bovolenta LA; Department of Biophysics and Pharmacology, Institute of Biosciences of Botucatu, São Paulo State University-UNESP, Botucatu SP CEP:18618-689, Brazil.; Pinhal D; Department of Chemical and Biological Sciences, Institute of Biosciences of Botucatu, São Paulo State University-UNESP, Botucatu SP CEP:18618-689, Brazil.; Acencio ML; Luxembourg Centre for Systems Biomedicine, Université du Luxembourg, Campus Belval, 7, Avenue das Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg.; Oliveira AC; Department of Chemical and Biological Sciences, Institute of Biosciences of Botucatu, São Paulo State University-UNESP, Botucatu SP CEP:18618-689, Brazil.; Moxon S; School of Biological Sciences, University of East Anglia (UEA), Norwich Research Park, Norwich NR4 7TJ, UK.; Martins C; Department of Structural and Functional Biology, Institute of Biosciences of Botucatu, São Paulo State University-UNESP, Botucatu SP CEP:18618-689, Brazil.; Lemke N; Department of Biophysics and Pharmacology, Institute of Biosciences of Botucatu, São Paulo State University-UNESP, Botucatu SP CEP:18618-689, Brazil.
Source
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101600052 Publication Model: Electronic Cited Medium: Internet ISSN: 2073-4409 (Electronic) Linking ISSN: 20734409 NLM ISO Abbreviation: Cells Subsets: MEDLINE
Subject
Language
English
Abstract
Nile tilapia is the third most cultivated fish worldwide and a novel model species for evolutionary studies. Aiming to improve productivity and contribute to the selection of traits of economic impact, biotechnological approaches have been intensively applied to species enhancement. In this sense, recent studies have focused on the multiple roles played by microRNAs (miRNAs) in the post-transcriptional regulation of protein-coding genes involved in the emergence of phenotypes with relevance for aquaculture. However, there is still a growing demand for a reference resource dedicated to integrating Nile Tilapia miRNA information, obtained from both experimental and in silico approaches, and facilitating the analysis and interpretation of RNA sequencing data. Here, we present an open repository dedicated to Nile Tilapia miRNAs: the "miRTil database". The database stores data on 734 mature miRNAs identified in 11 distinct tissues and five key developmental stages. The database provides detailed information about miRNA structure, genomic context, predicted targets, expression profiles, and relative 5p/3p arm usage. Additionally, miRTil also includes a comprehensive pre-computed miRNA-target interaction network containing 4936 targets and 19,580 interactions.