Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Looking for a needle in a haystack: de novo phenotypic target identification reveals Hippo pathway-mediated miR-202 regulation of egg production

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Understanding microRNA (miRNA) functions has been hampered by major difficulties in identifying their biological target(s). Currently, the main limitation is the lack of a suitable strategy to identify biologically relevant targets among a high number of putative targets. Here we provide a proof of concept of successful de novo (i.e. without prior knowledge of its identity) miRNA phenotypic target (i.e. target whose de-repression contributes to the phenotypic outcomes) identification from RNA-seq data. Using the medaka mir-202 knock-out (KO) model in which inactivation leads to a major organism-level reproductive phenotype, including reduced egg production, we introduced novel criteria including limited fold-change in KO and low interindividual variability in gene expression to reduce the list of 2853 putative targets to a short list of 5. We selected tead3b, a member of the evolutionarily-conserved Hippo pathway, known to regulate ovarian functions, due to its remarkably strong and evolutionarily conserved binding affinity for miR-202-5p. Deleting the miR-202-5p binding site in the 3′ UTR of tead3b, but not of other Hippo pathway members sav1 and vgll4b, triggered a reduced egg production phenotype. This is one of the few successful examples of de novo functional assignment of a miRNA phenotypic target in vivo in vertebrates.

          Graphical Abstract

          Graphical Abstract

          Related collections

          Most cited references45

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference

            We introduce Salmon, a method for quantifying transcript abundance from RNA-seq reads that is accurate and fast. Salmon is the first transcriptome-wide quantifier to correct for fragment GC content bias, which we demonstrate substantially improves the accuracy of abundance estimates and the reliability of subsequent differential expression analysis. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              MicroRNAs: target recognition and regulatory functions.

              MicroRNAs (miRNAs) are endogenous approximately 23 nt RNAs that play important gene-regulatory roles in animals and plants by pairing to the mRNAs of protein-coding genes to direct their posttranscriptional repression. This review outlines the current understanding of miRNA target recognition in animals and discusses the widespread impact of miRNAs on both the expression and evolution of protein-coding genes.
                Bookmark

                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                25 January 2024
                07 December 2023
                07 December 2023
                : 52
                : 2
                : 738-754
                Affiliations
                INRAE, UR1037, LPGP , Rennes, France
                INRAE, UR1037, LPGP , Rennes, France
                Sigenae, GenPhySE, Université de Toulouse, INRAE, ENVT , Castanet Tolosan, France
                INRAE, UR1037, LPGP , Rennes, France
                INRAE, UR1037, LPGP , Rennes, France
                Institut de Génétique Humaine, UMR 9002 CNRS and University of Montpellier , Montpellier, France
                INRAE, UR1037, LPGP , Rennes, France
                INRAE, UR1037, LPGP , Rennes, France
                MGX-Montpellier GenomiX, University of Montpellier, CNRS, INSERM , Montpellier, France
                INRAE, UR1037, LPGP , Rennes, France
                INRAE, UR1037, LPGP , Rennes, France
                INRAE, UR1037, LPGP , Rennes, France
                Institut de Génétique Humaine, UMR 9002 CNRS and University of Montpellier , Montpellier, France
                INRAE, UR1037, LPGP , Rennes, France
                Author notes
                To whom correspondence should be addressed. Tel: +33 223487007; Email: julien.bobe@ 123456inrae.fr
                Correspondence may also be addressed to Hervé Seitz. Email: herve.seitz@ 123456cnrs.fr

                The first two authors should be regarded as Joint First Authors.

                Author information
                https://orcid.org/0000-0003-2707-2541
                https://orcid.org/0000-0002-0838-4155
                https://orcid.org/0000-0001-8172-5393
                https://orcid.org/0000-0002-9355-8227
                Article
                gkad1154
                10.1093/nar/gkad1154
                10810276
                38059397
                b59d606f-0236-4a5e-882a-84d8bfe129b5
                © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 15 November 2023
                : 07 November 2023
                : 08 September 2023
                Page count
                Pages: 17
                Funding
                Funded by: Agence Nationale de la Recherche, DOI 10.13039/501100001665;
                Award ID: ANR-21-CE20-0023
                Categories
                AcademicSubjects/SCI00010
                Genomics

                Genetics
                Genetics

                Comments

                Comment on this article