Evidence map›Paper›PMID 25732134›Full record

ArticleJournal of proteome research2015

Most highly expressed protein-coding genes have a single dominant isoform.

Iakes Ezkurdia, Jose Manuel Rodriguez, Enrique Carrillo-de Santa Pau, Jesús Vázquez, Alfonso Valencia, Michael L Tress

Abstract read
In one paragraph

Article in Journal of proteome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

82 citing papers in PubMed.

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  19. Global impact of aberrant splicing on human gene expression levels.bioRxiv : the preprint server for biology · 2023
    Article
  20. Detecting differential transcript usage in complex diseases with SPIT.bioRxiv : the preprint server for biology · 2023
    Article

22 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

6 authors.

Iakes Ezkurdia†Unidad de Proteómica and ‡Laboratorio de Proteómica Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares, 28029 Madrid, Spain.
Jose Manuel Rodriguez†Unidad de Proteómica and ‡Laboratorio de Proteómica Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares, 28029 Madrid, Spain.
Enrique Carrillo-de Santa Pau†Unidad de Proteómica and ‡Laboratorio de Proteómica Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares, 28029 Madrid, Spain.
Jesús Vázquez†Unidad de Proteómica and ‡Laboratorio de Proteómica Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares, 28029 Madrid, Spain.
Alfonso Valencia†Unidad de Proteómica and ‡Laboratorio de Proteómica Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares, 28029 Madrid, Spain.
Michael L Tress†Unidad de Proteómica and ‡Laboratorio de Proteómica Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares, 28029 Madrid, Spain.

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
NHGRI NIH HHS U41 HG007234
6 · The paper itself

Abstract

Although eukaryotic cells express a wide range of alternatively spliced transcripts, it is not clear whether genes tend to express a range of transcripts simultaneously across cells, or produce dominant isoforms in a manner that is either tissue-specific or regardless of tissue. To date, large-scale investigations into the pattern of transcript expression across distinct tissues have produced contradictory results. Here, we attempt to determine whether genes express a dominant splice variant at the protein level. We interrogate peptides from eight large-scale human proteomics experiments and databases and find that there is a single dominant protein isoform, irrespective of tissue or cell type, for the vast majority of the protein-coding genes in these experiments, in partial agreement with the conclusions from the most recent large-scale RNAseq study. Remarkably, the dominant isoforms from the experimental proteomics analyses coincided overwhelmingly with the reference isoforms selected by two completely orthogonal sources, the consensus coding sequence variants, which are agreed upon by separate manual genome curation teams, and the principal isoforms from the APPRIS database, predicted automatically from the conservation of protein sequence, structure, and function.

Indexed as

Computational BiologyDatabases, ProteinHumansOpen Reading FramesPeptidesProtein IsoformsProteomicsPeptidesProtein IsoformsAlternative splicingDominant isoformsLarge-scale proteomicsProtein functionProtein structureRNAseq

Identifiers

PMID25732134
PMCPMC4768900

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Registered trials

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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.