Mis-splicing in Huntington's disease: harnessing the power of comparative transcriptomics

Yi Xing; Robert Wang; Beverly L Davidson

doi:10.1016/j.tins.2021.10.009

Mis-splicing in Huntington's disease: harnessing the power of comparative transcriptomics

Trends Neurosci. 2022 Feb;45(2):91-93. doi: 10.1016/j.tins.2021.10.009. Epub 2021 Nov 6.

Authors

Yi Xing¹, Robert Wang², Beverly L Davidson³

Affiliations

¹ Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: XINGYI@chop.edu.
² Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Graduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
³ Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Raymond G. Perelman Center for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, PA 19104, USA. Electronic address: DAVIDSONBL@chop.edu.

Abstract

A recent paper by Elorza et al. describes an 'intersect-RNA-seq' analysis of Huntington's disease (HD) by parallel RNA sequencing (RNA-seq) profiling of HD brain tissues from humans and mice. This work illustrates a broadly applicable strategy to elucidate splicing alterations in neurological diseases by integrating the transcriptome profiles of human patient tissues and animal models.

Keywords: RNA-seq; alternative splicing; exon; neurodegeneration; neurodegenerative disease.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Animals
Humans
Huntington Disease* / genetics
Mice
Sequence Analysis, RNA
Transcriptome* / genetics

Abstract

Publication types

MeSH terms

Grants and funding