Getting the Entire Message: Progress in Isoform Sequencing.

RNA epitranscriptome isoforms long-read splicing

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2019
Historique:
received: 31 01 2019
accepted: 04 07 2019
entrez: 3 9 2019
pubmed: 3 9 2019
medline: 3 9 2019
Statut: epublish

Résumé

The advent of second-generation sequencing and its application to RNA sequencing have revolutionized the field of genomics by allowing quantification of gene expression, as well as the definition of transcription start/end sites, exons, splice sites and RNA editing sites. However, due to the sequencing of fragments of cDNAs, these methods have not given a reliable picture of complete RNA isoforms. Third-generation sequencing has filled this gap and allows end-to-end sequencing of entire RNA/cDNA molecules. This approach to transcriptomics has been a "niche" technology for a couple of years but now is becoming mainstream with many different applications. Here, we review the background and progress made to date in this rapidly growing field. We start by reviewing the progressive realization that alternative splicing is omnipresent. We then focus on long-noncoding RNA isoforms and the distinct combination patterns of exons in noncoding and coding genes. We consider the implications of the recent technologies of direct RNA sequencing and single-cell isoform RNA sequencing. Finally, we discuss the parameters that define the success of long-read RNA sequencing experiments and strategies commonly used to make the most of such data.

Identifiants

pubmed: 31475029
doi: 10.3389/fgene.2019.00709
pmc: PMC6706457
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

709

Subventions

Organisme : NHGRI NIH HHS
ID : U41 HG007234
Pays : United States

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Auteurs

Simon A Hardwick (SA)

Brain and Mind Research Institute, Weill Cornell Medicine, NY, United States.
Garvan Institute of Medical Research, Sydney, NSW, Australia.

Anoushka Joglekar (A)

Brain and Mind Research Institute, Weill Cornell Medicine, NY, United States.

Paul Flicek (P)

European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, United Kingdom.

Adam Frankish (A)

European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, United Kingdom.

Hagen U Tilgner (HU)

Brain and Mind Research Institute, Weill Cornell Medicine, NY, United States.

Classifications MeSH