Evidence map›Paper›PMID 41863304›Full record

ArticleGenomics, proteomics & bioinformatics2026

Human Single-cell Atlas Analysis Reveals Heterogeneous Endothelial Signaling.

Zimo Zhu, Rongbin Zheng, Yang Yu, Lili Zhang, Kaifu Chen

Abstract read
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In one paragraph

Article in Genomics, proteomics & bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Zimo ZhuDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0009-0004-3170-9220
Rongbin ZhengDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0001-9928-2463
Yang YuDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-2870-5729
Lili ZhangDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-5032-7031
Kaifu ChenDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0003-1009-4357

Funding

Targeting Endothelial Epsins to Ameliorate Myocardial IschemiaR01HL174928 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI Hong Chen, Kaifu Chen · 2024 to 2026
$2.4M
Computational Technology for Single-Cell Functional GenomicsK99HG013662 · NHGRI · BOSTON CHILDREN'S HOSPITAL · PI Rongbin Zheng · 2025 to 2026
$261k
NHGRI NIH HHS K99 HG013662NHLBI NIH HHS R01 HL174928
6 · The paper itself

Abstract

Endothelial cells (ECs) play complex roles across tissues and vessel types. Yet, systematic investigations of EC heterogeneity in the combined context of vessel type and tissue microenvironment are still largely lacking. We integrated over three million single cells from single-cell RNA-seq datasets in 15 human tissues. We found that ECs in some tissues (e.g., heart and kidney) exhibited greater tissue specificity, whereas others showed greater vessel specificity. We developed a computational pipeline to analyze cell-cell communications (CCC) mediated by metabolites or proteins to explore microenvironmental regulation. Interestingly, our results showed that CCC events involving ECs varied vastly across tissues, highlighting tissue-specific EC interactions. Using topic modeling, we identified CCC patterns, termed CCC topics, representing metabolite- and protein-mediated interactions between ECs and other tissue-resident cells. Most CCC topics showed high tissue specificity, potentially explaining the microenvironmental regulation of EC heterogeneity. The work systematically investigates EC heterogeneity and provides insights into its regulation across diverse tissue microenvironments. The script to reproduce all analyses in this study is available at https://github.com/zhuzimoo/EC_project.

Indexed as

Cell–cell communicationHeterogeneityHuman endothelialSingle-cellSpecificity

Identifiers

PMID41863304

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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.