Bridging the gap between reference and real transcriptomes
Abstract Genetic, transcriptional, and post-transcriptional variations shape the transcriptome of individual cells, rendering establishing an exhaustive set of reference RNAs a complicated matter. Current reference transcriptomes, which are based on carefully curated transcripts, are lagging behind...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-06-01
|
Series: | Genome Biology |
Online Access: | http://link.springer.com/article/10.1186/s13059-019-1710-7 |
id |
doaj-97dcd0292ff84de1b7d21965532da6ba |
---|---|
record_format |
Article |
spelling |
doaj-97dcd0292ff84de1b7d21965532da6ba2020-11-25T03:29:46ZengBMCGenome Biology1474-760X2019-06-012011710.1186/s13059-019-1710-7Bridging the gap between reference and real transcriptomesAntonin Morillon0Daniel Gautheret1ncRNA, Epigenetic and Genome Fluidity, CNRS UMR 3244, Sorbonne Université, PSL University, Institut Curie, Centre de RechercheInstitute for Integrative Biology of the Cell, CEA, CNRS, Université Paris-Sud, Université Paris SaclayAbstract Genetic, transcriptional, and post-transcriptional variations shape the transcriptome of individual cells, rendering establishing an exhaustive set of reference RNAs a complicated matter. Current reference transcriptomes, which are based on carefully curated transcripts, are lagging behind the extensive RNA variation revealed by massively parallel sequencing. Much may be missed by ignoring this unreferenced RNA diversity. There is plentiful evidence for non-reference transcripts with important phenotypic effects. Although reference transcriptomes are inestimable for gene expression analysis, they may turn limiting in important medical applications. We discuss computational strategies for retrieving hidden transcript diversity.http://link.springer.com/article/10.1186/s13059-019-1710-7 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Antonin Morillon Daniel Gautheret |
spellingShingle |
Antonin Morillon Daniel Gautheret Bridging the gap between reference and real transcriptomes Genome Biology |
author_facet |
Antonin Morillon Daniel Gautheret |
author_sort |
Antonin Morillon |
title |
Bridging the gap between reference and real transcriptomes |
title_short |
Bridging the gap between reference and real transcriptomes |
title_full |
Bridging the gap between reference and real transcriptomes |
title_fullStr |
Bridging the gap between reference and real transcriptomes |
title_full_unstemmed |
Bridging the gap between reference and real transcriptomes |
title_sort |
bridging the gap between reference and real transcriptomes |
publisher |
BMC |
series |
Genome Biology |
issn |
1474-760X |
publishDate |
2019-06-01 |
description |
Abstract Genetic, transcriptional, and post-transcriptional variations shape the transcriptome of individual cells, rendering establishing an exhaustive set of reference RNAs a complicated matter. Current reference transcriptomes, which are based on carefully curated transcripts, are lagging behind the extensive RNA variation revealed by massively parallel sequencing. Much may be missed by ignoring this unreferenced RNA diversity. There is plentiful evidence for non-reference transcripts with important phenotypic effects. Although reference transcriptomes are inestimable for gene expression analysis, they may turn limiting in important medical applications. We discuss computational strategies for retrieving hidden transcript diversity. |
url |
http://link.springer.com/article/10.1186/s13059-019-1710-7 |
work_keys_str_mv |
AT antoninmorillon bridgingthegapbetweenreferenceandrealtranscriptomes AT danielgautheret bridgingthegapbetweenreferenceandrealtranscriptomes |
_version_ |
1724577191659831296 |