Splicing accuracy varies across human introns, tissues, age and disease
S. García-Ruiz,
D. Zhang,
E. K. Gustavsson,
G. Rocamora-Perez,
M. Grant-Peters,
A. Fairbrother-Browne,
R. H. Reynolds,
J. W. Brenton,
A. L. Gil-Martínez,
Z. Chen,
D. C. Rio,
J. A. Botia,
S. Guelfi,
L. Collado-Torres and
M. Ryten ()
Additional contact information
S. García-Ruiz: UK Dementia Research Institute, University of Cambridge
D. Zhang: UCL GOS Institute of Child Health
E. K. Gustavsson: UK Dementia Research Institute, University of Cambridge
G. Rocamora-Perez: UCL GOS Institute of Child Health
M. Grant-Peters: UK Dementia Research Institute, University of Cambridge
A. Fairbrother-Browne: UK Dementia Research Institute, University of Cambridge
R. H. Reynolds: UCL GOS Institute of Child Health
J. W. Brenton: UK Dementia Research Institute, University of Cambridge
A. L. Gil-Martínez: UCL
Z. Chen: UCL GOS Institute of Child Health
D. C. Rio: Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network
J. A. Botia: Universidad de Murcia
S. Guelfi: UCL
L. Collado-Torres: Lieber Institute for Brain Development
M. Ryten: UK Dementia Research Institute, University of Cambridge
Nature Communications, 2025, vol. 16, issue 1, 1-22
Abstract:
Abstract Alternative splicing impacts most multi-exonic human genes. Inaccuracies during this process may have an important role in ageing and disease. Here, we investigate splicing accuracy using RNA-sequencing data from >14k control samples and 40 human body sites, focusing on split reads partially mapping to known transcripts in annotation. We show that splicing inaccuracies occur at different rates across introns and tissues and are affected by the abundance of core components of the spliceosome assembly and its regulators. We find that age is positively correlated with a global decline in splicing fidelity, mostly affecting genes implicated in neurodegenerative diseases. We find support for the latter by observing a genome-wide increase in splicing inaccuracies in samples affected with Alzheimer’s disease as compared to neurologically normal individuals. In this work, we provide an in-depth characterisation of splicing accuracy, with implications for our understanding of the role of inaccuracies in ageing and neurodegenerative disorders.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55607-x
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DOI: 10.1038/s41467-024-55607-x
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