Evidence map›Paper›PMID 38843288›Full record

ReviewCirculation research2024

Revisiting Cardiac Biology in the Era of Single Cell and Spatial Omics.

Jack A Palmer, Nadia Rosenthal, Sarah A Teichmann, Monika Litvinukova

Abstract readReview
In one paragraph

Review in Circulation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Human cardiovascular organoids: Biomedical applications and ethical challenges.American heart journal plus : cardiology research and practice · 2026
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  5. Next-generation molecular imaging of cardiac fibrosis.The international journal of cardiovascular imaging · 2026
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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

4 authors.

Jack A PalmerWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom (J.A.P., S.A.T.).
Nadia RosenthalThe Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME (N.R.).
Sarah A TeichmannWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom (J.A.P., S.A.T.).ORCID 0000-0002-6294-6366
Monika LitvinukovaUniversity Hospital Würzburg, Germany (M.L.).ORCID 0000-0002-6713-3647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Throughout our lifetime, each beat of the heart requires the coordinated action of multiple cardiac cell types. Understanding cardiac cell biology, its intricate microenvironments, and the mechanisms that govern their function in health and disease are crucial to designing novel therapeutical and behavioral interventions. Recent advances in single-cell and spatial omics technologies have significantly propelled this understanding, offering novel insights into the cellular diversity and function and the complex interactions of cardiac tissue. This review provides a comprehensive overview of the cellular landscape of the heart, bridging the gap between suspension-based and emerging in situ approaches, focusing on the experimental and computational challenges, comparative analyses of mouse and human cardiac systems, and the rising contextualization of cardiac cells within their niches. As we explore the heart at this unprecedented resolution, integrating insights from both mouse and human studies will pave the way for novel diagnostic tools and therapeutic interventions, ultimately improving outcomes for patients with cardiovascular diseases.

Indexed as

Single-Cell AnalysisAnimalsGenomicsHumansMiceMyocardiumMyocytes, Cardiaccardiovascular diseasesgenomicshearthumansingle-cell analysisspatial analysis

Identifiers

PMID38843288
PMCPMC11149945

What Socratic 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 Socratic graph.