Evidence map›Paper›PMID 40389446›Full record

ArticleScientific data2025

A cell type-specific expression atlas of small and total RNA in the heart after myocardial infarction.

Ranjan Kumar Maji, Ariane Fischer, Eva-Maria Rogg, Melanie Möller, Gilles Gasparoni, Martin Simon, Stefanie Dimmeler, Marcel H Schulz

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Ranjan Kumar MajiInstitute for Cardiovascular Regeneration, Goethe-University; German Centre for Cardiovascular Research (DZHK), Partner site Rhine-Main, 60590, Frankfurt, Germany.
Ariane FischerInstitute for Cardiovascular Regeneration, Goethe-University; German Centre for Cardiovascular Research (DZHK), Partner site Rhine-Main, 60590, Frankfurt, Germany.
Eva-Maria RoggInstitute for Cardiovascular Regeneration, Goethe-University; German Centre for Cardiovascular Research (DZHK), Partner site Rhine-Main, 60590, Frankfurt, Germany.
Melanie MöllerMolecular Cell Biology & Microbiology, Wuppertal University, Wuppertal, Germany.
Gilles GasparoniEpigenetics, Saarland University, 66123, Saarbrücken, Germany.
Martin SimonMolecular Cell Biology & Microbiology, Wuppertal University, Wuppertal, Germany.ORCID http://orcid.org/0000-0002-0962-7788
Stefanie DimmelerInstitute for Cardiovascular Regeneration, Goethe-University; German Centre for Cardiovascular Research (DZHK), Partner site Rhine-Main, 60590, Frankfurt, Germany. dimmeler@em.uni-frankfurt.de.
Marcel H SchulzInstitute for Cardiovascular Regeneration, Goethe-University; German Centre for Cardiovascular Research (DZHK), Partner site Rhine-Main, 60590, Frankfurt, Germany. marcel.schulz@em.uni-frankfurt.de.ORCID http://orcid.org/0000-0002-1252-3656

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) SFB902Deutsche Forschungsgemeinschaft (German Research Foundation) TRR267
6 · The paper itself

Abstract

Acute myocardial infarction (AMI) is a leading cause of mortality worldwide. MicroRNAs (miRNAs), among other small non-coding RNAs, shape the transcriptome and control cellular functions. Although single-cell technologies are now available to study myocardial ischemia response, the study of small RNA regulation is limited by depth of expression, capture efficiency and lack of full coverage of transcripts. In addition, the kinetic expression of miRNAs is unknown. Using paired small and total RNA sequencing, we built an expression atlas to study the temporal dynamics of miRNAs and genes in four major heart cell types after AMI. Expression dynamics reveal enriched functions highlighting cell type-specific AMI stress responses. Many deregulated mouse genes after AMI overlap with known human cardiovascular disease genes. The dataset is highly valuable for additional research on small and long non-coding RNAs, such as regulation of RNA variants by splicing or alternative ORFs. All in all, the RNA expression atlas provides a useful resource to study different roles of RNAs in major cell types of the heart after AMI.

Indexed as

MicroRNAsMyocardial InfarctionMyocardiumTranscriptomeAnimalsHumansMiceRNA, Long NoncodingSequence Analysis, RNAMicroRNAsRNA, Long Noncoding

Identifiers

PMID40389446
PMCPMC12089340

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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.