Evidence map›Paper›PMID 36624836›Full record

ArticleiScience2023

High cardiomyocyte diversity in human early prenatal heart development.

Christer Sylvén, Eva Wärdell, Agneta Månsson-Broberg, Eugenio Cingolani, Konstantinos Ampatzis, Ludvig Larsson, Åsa Björklund, Stefania Giacomello

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Synthetic embryology of the human heart.Frontiers in cell and developmental biology · 2024
    Review
  9. Review
  10. 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 at 4 institutions in 2 countries.

Christer SylvénDepartment of Medicine, Karolinska Institute, Huddinge, Sweden.
Eva WärdellDepartment of Medicine, Karolinska Institute, Huddinge, Sweden.
Agneta Månsson-BrobergDepartment of Medicine, Karolinska Institute, Huddinge, Sweden.
Eugenio CingolaniCedars-Sinai, Smidt Heart Institute, Los Angeles, CA, USA.
Konstantinos AmpatzisDepartment of Neuroscience, Karolinska Institute, Stockholm, Sweden.
Ludvig LarssonScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Åsa BjörklundDepartment of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Stefania GiacomelloScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Karolinska Institutet · SEScience for Life Laboratory · SECedars-Sinai Smidt Heart Institute · USUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiomyocytes play key roles during cardiogenesis, but have poorly understood features, especially in prenatal stages. Here, we characterized human prenatal cardiomyocytes, 6.5-7 weeks post-conception, by integrating single-cell RNA sequencing, spatial transcriptomics, and ligand-receptor interaction information. Using a computational workflow developed to dissect cell type heterogeneity, localize cell types, and explore their molecular interactions, we identified eight types of developing cardiomyocyte, more than double compared to the ones identified in the

Indexed as

BioinformaticsBiological sciencesCell biologyTranscriptomics

Identifiers

PMID36624836
PMCPMC9823232
OpenAlexW4313455851

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.