Evidence map›Paper›PMID 38818408›Full record

ReviewFrontiers in cell and developmental biology2024

RNA binding proteins as mediators of pathological cardiac remodeling.

Pooja Acharya, Sharon Parkins, Michael Tranter

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
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

3 authors.

Pooja AcharyaDepartment of Molecular Medicine and Therapeutics, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
Sharon ParkinsDepartment of Molecular Medicine and Therapeutics, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
Michael TranterDepartment of Molecular Medicine and Therapeutics, The Ohio State University Wexner Medical Center, Columbus, OH, United States.

Funding

Post-transcriptional control of adipose tissue gene expression as an endocrine mediator of cardiac pathologyR01HL158671 · NHLBI · UNIVERSITY OF CINCINNATI · PI Michael Tranter · 2022 to 2026
$3.1M
Functional and mechanistic delineation of HuR-Wisp1 signaling on myofibroblast activityR01HL166326 · NHLBI · UNIVERSITY OF CINCINNATI · PI Onur Kanisicak, Michael Tranter · 2023 to 2026
$2.6M
HuR-Wisp1 signaling in cardiac fibroblastsF31HL170636 · NHLBI · UNIVERSITY OF CINCINNATI · PI PARKINS, SHARON · 2023 to 2024
$97k
NHLBI NIH HHS F31 HL170636NHLBI NIH HHS R01 HL158671NHLBI NIH HHS R01 HL166326
6 · The paper itself

Abstract

RNA binding proteins (RBPs) play a central in the post-transcriptional regulation of gene expression, which can account for up to 50% of all variations in protein expression within a cell. Following their binding to target RNAs, RBPs most typically confer changes in gene expression through modulation of alternative spicing, RNA stabilization/degradation, or ribosome loading/translation rate. All of these post-transcriptional regulatory processes have been shown to play a functional role in pathological cardiac remodeling, and a growing body of evidence is beginning to identify the mechanistic contribution of individual RBPs and their cardiac RNA targets. This review highlights the mechanisms of RBP-dependent post-transcriptional gene regulation in cardiomyocytes and fibroblasts and our current understanding of how RNA binding proteins functionally contribute to pathological cardiac remodeling.

Indexed as

cardiacfibrosishypertrophypost-transcriptional gene regulationRNA binding proteins (RBPs)

Identifiers

PMID38818408
PMCPMC11137256

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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.