Comprehensive transcriptome analysis reveals altered mRNA splicing and post-transcriptional changes in the aged mouse brain.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
12 Mar 2024
Historique:
accepted: 01 03 2024
revised: 18 01 2024
received: 17 10 2023
medline: 13 3 2024
pubmed: 13 3 2024
entrez: 12 3 2024
Statut: aheadofprint

Résumé

A comprehensive understanding of molecular changes during brain aging is essential to mitigate cognitive decline and delay neurodegenerative diseases. The interpretation of mRNA alterations during brain aging is influenced by the health and age of the animal cohorts studied. Here, we carefully consider these factors and provide an in-depth investigation of mRNA splicing and dynamics in the aging mouse brain, combining short- and long-read sequencing technologies with extensive bioinformatic analyses. Our findings encompass a spectrum of age-related changes, including differences in isoform usage, decreased mRNA dynamics and a module showing increased expression of neuronal genes. Notably, our results indicate a reduced abundance of mRNA isoforms leading to nonsense-mediated RNA decay and suggest a regulatory role for RNA-binding proteins, indicating that their regulation may be altered leading to the reshaping of the aged brain transcriptome. Collectively, our study highlights the importance of studying mRNA splicing events during brain aging.

Identifiants

pubmed: 38471806
pii: 7627472
doi: 10.1093/nar/gkae172
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Schram Stiftung
ID : T0287/35359/2020
Organisme : Deutsche Forschungsgemeinschaft
ID : FO 1342/1-3
Organisme : Collaborative Research Center 1286 on Quantitative Synaptologie
ID : CRC/SFB1286
Organisme : Göttingen, Germany
Organisme : Italian Association for Cancer Research
ID : 24784
Organisme : Giorgio Boglio
ID : 26611
Organisme : Deutsche DFG under Germanys Excellence Strategy EXC 2051
ID : 390713860
Organisme : Federal state of Thuringia via the Thüringer Aufbaubank
ID : 2021 FGI 0009
Organisme : TMWWDG
Organisme : Landesprogramm ProDigital
ID : DigLeben-5575/10-9

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.

Auteurs

Nisha Hemandhar Kumar (NH)

Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, 37073 Göttingen, Germany.

Verena Kluever (V)

Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, 37073 Göttingen, Germany.

Emanuel Barth (E)

Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, 07743 Jena, Germany.
Bioinformatics Core Facility, Friedrich Schiller University Jena, 07743 Jena, Germany.

Sebastian Krautwurst (S)

Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, 07743 Jena, Germany.

Mattia Furlan (M)

Center for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia (IIT), 20139 Milan, Italy.

Mattia Pelizzola (M)

Center for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia (IIT), 20139 Milan, Italy.
Department of Biotechnology and Biosciences, University of Milano-Bicocca, 20126 Milan, Italy.

Manja Marz (M)

Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, 07743 Jena, Germany.
Leibniz Institute for Age Research, FLI, Beutenbergstraße 11, Jena 07743, Germany.
European Virus Bioinformatics Center, Friedrich Schiller University, Leutragraben 1, Jena 07743, Germany.
German Center for Integrative Biodiversity Research (iDiv), Puschstraße 4, Leipzig 04103, Germany.
Michael Stifel Center Jena, Friedrich Schiller University, Ernst-Abbe-Platz 2, Jena 07743, Germany.
Cluster of Excellence Balance of the Microverse, Friedrich Schiller University, Fuerstengraben 1, Jena 07743, Germany.

Eugenio F Fornasiero (EF)

Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, 37073 Göttingen, Germany.
Department of Life Sciences, University of Trieste, 34127 Trieste, Italy.

Classifications MeSH