Evidence map›Paper›PMID 41675513›Full record

ArticleQuantitative biology (Beijing, China)2025

CASHeart: A database of single cells chromatin accessibility for the human heart.

Qun Jiang, Xiaoyang Chen, Zijing Gao, Jinmeng Jia, Shengquan Chen, Rui Jiang

Abstract read
In one paragraph

Article in Quantitative biology (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Qun JiangMinistry of Education Key Laboratory of Bioinformatics Bioinformatics Division at the Beijing National Research Center for Information Science and Technology Center for Synthetic and Systems Biology Department of Automation Tsinghua University Beijing China.ORCID https://orcid.org/0009-0007-5442-7906
Xiaoyang ChenMinistry of Education Key Laboratory of Bioinformatics Bioinformatics Division at the Beijing National Research Center for Information Science and Technology Center for Synthetic and Systems Biology Department of Automation Tsinghua University Beijing China.
Zijing GaoMinistry of Education Key Laboratory of Bioinformatics Bioinformatics Division at the Beijing National Research Center for Information Science and Technology Center for Synthetic and Systems Biology Department of Automation Tsinghua University Beijing China.
Jinmeng JiaMinistry of Education Key Laboratory of Bioinformatics Bioinformatics Division at the Beijing National Research Center for Information Science and Technology Center for Synthetic and Systems Biology Department of Automation Tsinghua University Beijing China.
Shengquan ChenSchool of Mathematical Sciences and LPMC Nankai University Tianjin China.
Rui JiangMinistry of Education Key Laboratory of Bioinformatics Bioinformatics Division at the Beijing National Research Center for Information Science and Technology Center for Synthetic and Systems Biology Department of Automation Tsinghua University Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human heart single-cell chromatin accessibility data reveal the diversity and complexity of heart cells at the epigenomic level, providing a detailed perspective for understanding the molecular mechanisms of heart development, function maintenance, disease occurrence, and therapeutic response. However, the current human heart single-cell chromatin accessibility data are relatively scarce, lacking large-scale, high-quality, and integrated datasets. To facilitate research and utilization, we have established a comprehensive database of human heart single-cell chromatin accessibility data, CASHeart. This database collects sequencing fragment files from publicly available papers, processes and counts data for 212,600 human heart cells, and provides transformed gene activity scores. All data are accessible for browsing and download via the online platform. We demonstrate that the data provided by CASHeart reveal heart cell type heterogeneity more effectively than the original data, aiding in the analysis of differentially accessible chromatin regions and activated genes. Moreover, we show that the incorporation of single-cell chromatin accessibility data and transformed gene activity scores from CASHeart as reference datasets enhances the analysis of heart single-cell epigenomic and transcriptomic data, whereas the unified chromatin accessible regions provided by CASHeart can assist in the study of gene regulation and genetic variation in human cardiac cells.

Indexed as

chromatin accessibilitydatabasehuman heartsingle cell

Identifiers

PMID41675513
PMCPMC12806100

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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.