Evidence map›Paper›PMID 34046593›Full record

ArticleNAR genomics and bioinformatics2021

Assessing the functional relevance of splice isoforms.

Fernando Pozo, Laura Martinez-Gomez, Thomas A Walsh, José Manuel Rodriguez, Tomas Di Domenico, Federico Abascal, Jesús Vazquez, Michael L Tress

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
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

33 citing papers in PubMed, 48 citations in OpenAlex.

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  19. Protein language models learn evolutionary statistics of interacting sequence motifs.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

8 authors at 3 institutions in 2 countries.

Fernando PozoBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Laura Martinez-GomezBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Thomas A WalshBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
José Manuel RodriguezCardiovascular Proteomics Laboratory, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Tomas Di DomenicoBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Federico AbascalSomatic Evolution Group, Wellcome Sanger Institute, Hinxton CB10 1SA, UK.
Jesús VazquezCardiovascular Proteomics Laboratory, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Michael L TressBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.ORCID https://orcid.org/0000-0001-9046-6370
Spanish National Cancer Research Centre · ESSpanish National Centre for Cardiovascular Research · ESWellcome Sanger Institute · GB

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

Alternative splicing of messenger RNA can generate an array of mature transcripts, but it is not clear how many go on to produce functionally relevant protein isoforms. There is only limited evidence for alternative proteins in proteomics analyses and data from population genetic variation studies indicate that most alternative exons are evolving neutrally. Determining which transcripts produce biologically important isoforms is key to understanding isoform function and to interpreting the real impact of somatic mutations and germline variations. Here we have developed a method, TRIFID, to classify the functional importance of splice isoforms. TRIFID was trained on isoforms detected in large-scale proteomics analyses and distinguishes these biologically important splice isoforms with high confidence. Isoforms predicted as functionally important by the algorithm had measurable cross species conservation and significantly fewer broken functional domains. Additionally, exons that code for these functionally important protein isoforms are under purifying selection, while exons from low scoring transcripts largely appear to be evolving neutrally. TRIFID has been developed for the human genome, but it could in principle be applied to other well-annotated species. We believe that this method will generate valuable insights into the cellular importance of alternative splicing.

Identifiers

PMID34046593
PMCPMC8140736
OpenAlexW3164601156

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.