Evidence map›Paper›PMID 39773891›Full record

ArticleRNA (New York, N.Y.)2025

Alternative splicing factors and cardiac disease: more than just missplicing?

Zachery R Gregorich, Wei Guo

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Zachery R GregorichDepartment of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
Wei GuoDepartment of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA wguo2@wisc.edu.

Funding

Posttranscriptional Regulation of RNA Binding Proteins in Heart FailureR01HL148733 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GUO, WEI · 2020 to 2023
$1.5M
American Heart Association-American Stroke Association 19TPA34830072American Heart Association-American Stroke Association 23TPA1069731NHLBI NIH HHS R01 HL148733
6 · The paper itself

Abstract

Alternative splicing (AS) is the process wherein the exons from a single gene are joined in different combinations to produce nonidentical, albeit related, RNA transcripts. This process is important for the development and physiological function of many organs and is particularly important in the heart. Notably, AS has been implicated in cardiac disease and failure, and a growing number of genetic variants in AS factors have been identified in association with cardiac malformation and/or disease. With the field poised to interrogate how these variants affect cardiac development and disease, an understandable point of emphasis will undoubtedly be on downstream target gene missplicing. In this Perspective article, we would like to encourage consideration not only of the potential for novel disease mechanisms, but also for contributions from disruption of the ever-expanding list of nonsplicing functions ascribed to many AS factors. We discuss the emergence of a novel cardiac disease mechanism based on pathogenic RNA granules and speculate on the generality of such a mechanism among localization-disrupting AS factor genetic variants. We also highlight emerging nonsplicing functions attributed to several AS factors with cardiac disease-associated genetic variants in the hopes of pointing to avenues for exploration of mechanisms that may contribute to disease alongside target gene missplicing.

Indexed as

Alternative SplicingHeart DiseasesRNA Splicing FactorsAnimalsExonsHumansRNA Splicing Factorsalternative splicingcardiomyopathyRBM20RNA granules

Identifiers

PMID39773891
PMCPMC11874993

What OpenQuestion holds

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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.