Published March 31, 2023 | Version v4
Dataset Open

Splicing accuracy varies across human introns, tissues, age and disease

  • 1. Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK.; NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
  • 2. Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
  • 3. Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815; Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King's College London, London, UK
  • 4. Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK; Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London, UK
  • 5. Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Spain
  • 6. Lieber Institute for Brain Development, Baltimore, MD, USA , 21205

Description

Alternative splicing impacts most multi-exonic human genes. Inaccuracies during this process may have an important role in ageing and disease. Here, we investigated 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 primarily affected by the abundance of core components of the spliceosome assembly and its regulators. Using publicly available data from RNA-knockdowns and CLIP-seq binding sites of numerous spliceosomal components and related regulators, we demonstrated the importance of RNA-binding proteins in splicing accuracy. We found that age is positively correlated with a global decline in splicing fidelity, mostly affecting genes implicated in neurodegenerative diseases. We found further 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. This in-depth characterisation of splicing has important implications for our understanding of the role of inaccuracies in ageing and human disease, particularly in neurodegenerative disorders.

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Additional details

Related works

Is derived from
Software: 10.5281/zenodo.7717150 (DOI)

Dates

Submitted
2023-03-31
Submitted to biorxiv

Software

Repository URL
https://github.com/SoniaRuiz/splicing-accuracy-manuscript
Programming language
R
Development Status
Active