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Splicing accuracy varies across human introns, tissues and age

Output Details

Alternative splicing impacts most multi-exonic human genes. Inaccuracies during this process may have an important role in ageing and disease. Here, we investigated mis-splicing using RNA-sequencing data from ~14K control samples and 42 human body sites, focusing on split reads partially mapping to known transcripts in annotation. We show that mis-splicing occurs at different rates across introns and tissues and that these splicing inaccuracies are primarily affected by the abundance of core components of the spliceosome assembly and its regulators. Using publicly available data on short-hairpin RNA-knockdowns of numerous spliceosomal components and related regulators, we found support for the importance of RNA-binding proteins in mis-splicing. We also demonstrated that age is positively correlated with mis-splicing, and it affects genes implicated in neurodegenerative diseases. This in-depth characterisation of mis-splicing can have important implications for our understanding of the role of splicing inaccuracies in human disease and the interpretation of long-read RNA-sequencing data.
Tags
  • Human
  • Intron
  • Mis-splicing
  • Neurodegenerative disorders
  • Regulators
  • RNA binding proteins
  • RNA Bulk
  • RNA-knockdown
  • RNA-seq
  • Spliceosome
  • Tissue

Meet the Authors

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    Sonia García-Ruiz

    External Collaborator

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    David Zhang

    External Collaborator

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    Emil Gustavsson

    External Collaborator

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    Guillermo Rocamora-Perez

    External Collaborator

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    Melissa Grant-Peters

    External Collaborator

  • User avatar fallback logo

    Aine Fairbrother-Browne

    External Collaborator

  • User avatar fallback logo

    Regina H. Reynolds

    External Collaborator

  • User avatar fallback logo

    Jonathan Brenton

    External Collaborator

  • User avatar fallback logo

    Ana Luisa Gil Martinez

    External Collaborator

  • User avatar fallback logo

    Zhongbo Chen

    External Collaborator

  • Donald Rio, PhD

    Lead PI (Core Leadership): Team Rio

    University of California, Berkeley

  • User avatar fallback logo

    Juan A. Botía

    External Collaborator

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    Sebastian Guelfi

    External Collaborator

  • User avatar fallback logo

    Leonardo Collado-Torres

    External Collaborator

  • Mina Ryten

    Co-PI (Core Leadership): Team Hardy Team Wood

    University College London

Aligning Science Across Parkinson's
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