Evidence map›Paper›PMID 23815980›Full record

ArticleGenome biology2013

Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene.

Mar Gonzàlez-Porta, Adam Frankish, Johan Rung, Jennifer Harrow, Alvis Brazma

Abstract read
In one paragraph

Article in Genome biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

164 citing papers in PubMed.

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  20. The annotation ofScience advances · 2024
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104 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mar Gonzàlez-Porta
Adam Frankish
Johan Rung
Jennifer Harrow
Alvis Brazma

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Integrated human genome annotation: generation of a reference gene setU54HG004555 · NHGRI · SANGER INSTITUTE · PI HUBBARD, TIMOTHY JOHN · 2007 to 2012
$11.2M
NHGRI NIH HHS 5U54HG004555NHGRI NIH HHS U41 HG007234NHGRI NIH HHS U54 HG004555Wellcome Trust 098051
6 · The paper itself

Abstract

backgroundRNA sequencing has opened new avenues for the study of transcriptome composition. Significant evidence has accumulated showing that the human transcriptome contains in excess of a hundred thousand different transcripts. However, it is still not clear to what extent this diversity prevails when considering the relative abundances of different transcripts from the same gene.

resultsHere we show that, in a given condition, most protein coding genes have one major transcript expressed at significantly higher level than others, that in human tissues the major transcripts contribute almost 85 percent to the total mRNA from protein coding loci, and that often the same major transcript is expressed in many tissues. We detect a high degree of overlap between the set of major transcripts and a recently published set of alternatively spliced transcripts that are predicted to be translated utilizing proteomic data. Thus, we hypothesize that although some minor transcripts may play a functional role, the major ones are likely to be the main contributors to the proteome. However, we still detect a non-negligible fraction of protein coding genes for which the major transcript does not code a protein.

conclusionsOverall, our findings suggest that the transcriptome from protein coding loci is dominated by one transcript per gene and that not all the transcripts that contribute to transcriptome diversity are equally likely to contribute to protein diversity. This observation can help to prioritize candidate targets in proteomics research and to predict the functional impact of the detected changes in variation studies.

Indexed as

GenesCell LineGene Expression ProfilingGene Expression RegulationHumansOpen Reading FramesOrgan SpecificityRNA, MessengerRNA, UntranslatedRNA, MessengerRNA, Untranslated

Identifiers

PMID23815980
PMCPMC4053754

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.