Human Single-cell Atlas Analysis Reveals Heterogeneous Endothelial Signaling

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.

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Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2026-03-20
DOI
https://doi.org/10.1093/gpbjnl/qzag025
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

Human Single-cell Atlas Analysis Reveals Heterogeneous Endothelial Signaling

Yang Yu, Rongbin Zheng, Lili Zhang, Zimo Zhu et al.
Genomics Proteomics & Bioinformatics
Single-cell and spatial transcriptomics
article

Human Single-cell Atlas Analysis Reveals Heterogeneous Endothelial Signaling

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

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.

Genomics Proteomics & Bioinformatics
Boston Children's Hospital (US), Harvard University (US), Boston Children's Museum (US)
Openalex Percentile: Top 14%
Single-cell and spatial transcriptomics
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