Evidence map›Paper›PMID 41530494›Full record

ArticleEMBO molecular medicine2026

Sarcomeric remodelling in human heart failure unraveled by single molecule long read sequencing.

Jan Haas, Sarah Schudy, Benedikt Rauscher, Ana Muñoz Verdú, Steffen Roßkopf, Christoph Reich, Gizem Donmez Yalcin, Abdullah Yalcin, Timon Seeger, Christoph Dieterich and 8 more

Abstract read
In one paragraph

Article in EMBO molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

18 authors.

Jan Haas *Precision Digital Health Unit of the Department of Internal Medicine III, Heidelberg University, Heidelberg, Germany.
Sarah Schudy *Precision Digital Health Unit of the Department of Internal Medicine III, Heidelberg University, Heidelberg, Germany.
Benedikt Rauscher *Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Ana Muñoz VerdúPrecision Digital Health Unit of the Department of Internal Medicine III, Heidelberg University, Heidelberg, Germany.
Steffen RoßkopfPrecision Digital Health Unit of the Department of Internal Medicine III, Heidelberg University, Heidelberg, Germany.
Christoph ReichPrecision Digital Health Unit of the Department of Internal Medicine III, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-2683-1369
Gizem Donmez YalcinPrecision Digital Health Unit of the Department of Internal Medicine III, Heidelberg University, Heidelberg, Germany.
Abdullah YalcinPrecision Digital Health Unit of the Department of Internal Medicine III, Heidelberg University, Heidelberg, Germany.ORCID 0000-0001-8604-4749
Timon SeegerGerman Center for Cardiovascular Research (DZHK), partner site Heidelberg, Heidelberg, Germany.
Christoph DieterichGerman Center for Cardiovascular Research (DZHK), partner site Heidelberg, Heidelberg, Germany.ORCID 0000-0001-9468-6311
Manuel H TaftInstitute for Biophysical Chemistry, Hannover Medical School, Fritz-Hartmann-Centre for Medical Research, 30625, Hannover, Germany.ORCID 0000-0001-5853-8629
Marc FreichelGerman Center for Cardiovascular Research (DZHK), partner site Heidelberg, Heidelberg, Germany.ORCID 0000-0003-1387-2636
Dirk GrimmGerman Center for Infection Research (DZIF) and German Center for Cardiovascular Research (DZHK), partner site Heidelberg, Heidelberg, Germany.ORCID 0000-0001-6227-5665
Dietmar MansteinDivision for Structural Biochemistry, Hannover Medical School, 30625, Hannover, Germany.
Johannes BacksGerman Center for Cardiovascular Research (DZHK), partner site Heidelberg, Heidelberg, Germany.ORCID 0000-0002-2322-2699
Norbert FreyGerman Center for Cardiovascular Research (DZHK), partner site Heidelberg, Heidelberg, Germany.
Lars SteinmetzGenome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Benjamin MederPrecision Digital Health Unit of the Department of Internal Medicine III, Heidelberg University, Heidelberg, Germany. Benjamin.meder@med.uni-heidelberg.de.ORCID 0000-0003-0741-2633

Funding

Bundesministerium für Bildung und Forschung (BMBF) 01GM1922BDeutsche Forschungsgemeinschaft (DFG) 462266917Deutsche Forschungsgemeinschaft (DFG) CRC1550Fondation Leducq (Leducq Foundation) 21CVD02
6 · The paper itself

Abstract

Dysregulation of alternative splicing - mediated by factors such as RBM20 or SLM2 - can affect proper gene isoform control, disrupting gene isoform homeostasis and underpins severe cardiomyopathy in both animal models and patients. Although innovative therapies target various sarcomeric components, the impact of isoform switching in cardiac disease remains poorly understood. Here, we applied nanopore long-read sequencing to map the full-length transcriptome of left ventricular tissue from thirteen nonfailing controls, ten patients with dilated cardiomyopathy (DCM), and ten with ischemic cardiomyopathy (ICM). Our analysis identified 78,520 transcripts, 31% of which represent novel isoforms of known genes. Notably, the transcriptomes of DCM and ICM were largely indistinguishable, indicating that end-stage heart failure is characterized by a convergent isoform landscape, irrespective of disease etiology. Among 11 prototypical sarcomere genes, 10 displayed highly significant isoform shifts (p = 5.23 × 10

Indexed as

Heart FailureSarcomeresAlternative SplicingCardiomyopathy, DilatedFemaleGene Expression ProfilingHumansMaleProtein IsoformsTranscriptomeTropomyosinProtein IsoformsTropomyosinHeart-FailureLong-ReadSarcomereTranscript IsoformsTropomyosin

Identifiers

PMID41530494
PMCPMC12905364

What OpenQuestion holds

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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.