Evidence map›Paper›PMID 34979593›Full record

ReviewWiley interdisciplinary reviews. RNA2022

Uncovering the impacts of alternative splicing on the proteome with current omics techniques.

Marina Reixachs-Solé, Eduardo Eyras

Open access · hybridAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. RNA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 62 citations in OpenAlex.

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  16. Targeting RNA splicing modulation: new perspectives for anticancer strategy?Journal of experimental & clinical cancer research : CR · 2025
    Review
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  19. Splice Variant ofGenes · 2024
    Article
  20. Review
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

2 authors at 1 institution in 2 countries.

Marina Reixachs-SoléThe John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-9446-8082
Eduardo EyrasThe John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-0793-6218
Australian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high-throughput sequencing of cellular RNAs has underscored a broad effect of isoform diversification through alternative splicing on the transcriptome. Moreover, the differential production of transcript isoforms from gene loci has been recognized as a critical mechanism in cell differentiation, organismal development, and disease. Yet, the extent of the impact of alternative splicing on protein production and cellular function remains a matter of debate. Multiple experimental and computational approaches have been developed in recent years to address this question. These studies have unveiled how molecular changes at different steps in the RNA processing pathway can lead to differences in protein production and have functional effects. New and emerging experimental technologies open exciting new opportunities to develop new methods to fully establish the connection between messenger RNA expression and protein production and to further investigate how RNA variation impacts the proteome and cell function. This article is categorized under: RNA Processing > Splicing Regulation/Alternative Splicing Translation > Regulation RNA Evolution and Genomics > Computational Analyses of RNA.

Indexed as

Alternative SplicingProteomeProtein IsoformsRNARNA, MessengerProtein IsoformsProteomeRNARNA, Messengeralternative splicingproteomeRNA processingtranscriptomicstranslatomics

Identifiers

PMID34979593
PMCPMC9542554
OpenAlexW4206373129

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.