ArticleBasic research in cardiology2024
Single-cell transcriptome unveils unique transcriptomic signatures of human organ-specific endothelial cells.
Article in Basic research in cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution.Nature metabolism · 2025Guideline
- Reimagining VEGF Therapy: The Role of PLCγ2 in Pan-Organ Endothelial Networks.Advances in wound care · 2026Article
- Lymphatic Endothelial Cells in Health and Disease.MedComm · 2026Review
- Endothelial dysfunction in human diabetic vascular complications: translating single-cell transcriptomics into therapeutic opportunities.Molecular medicine (Cambridge, Mass.) · 2026Review
- Blood and lymphatic vascular network in bone injury repair: from molecular mechanisms to therapeutic strategies.Science China. Life sciences · 2026Review
- Vascularized Cardiac Tissue Engineering: From Advances in Biofabrication to Translational Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Cardiac lymphatics: functional plasticity in development, disease, and precision-targeted therapies.Basic research in cardiology · 2026Review
- Sex differences in endothelial cell biology: cellular phenotypes and molecular regulators.Frontiers in physiology · 2026Review
- Single cell and spatial transcriptomic profiling of the type 2 diabetic coronary microcirculation and myocardium.Basic research in cardiology · 2025Article
- Retinal Neurovascular Coupling: From Mechanisms to a Diagnostic Window into Brain Disorders.Cells · 2025Review
- Cross-Species Insights from Single-Nucleus Sequencing Highlight Aging-Related Hippocampal Features in Tree Shrew.Molecular biology and evolution · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The heterogeneity of endothelial cells (ECs) across human tissues remains incompletely inventoried. We constructed an atlas of > 210,000 ECs derived from 38 regions across 24 human tissues. Our analysis reveals significant differences in transcriptome, phenotype, metabolism and transcriptional regulation among ECs from various tissues. Notably, arterial, venous, and lymphatic ECs shared more common markers in multiple tissues than capillary ECs, which exhibited higher heterogeneity. This diversity in capillary ECs suggests their greater potential as targets for drug development. ECs from different tissues and vascular beds were found to be associated with specific diseases. Importantly, tissue specificity of EC senescence is more determined by somatic site than by tissue type (e.g. subcutaneus adipose tissue and visceral adipose tissue). Additionally, sex-specific differences in brain EC senescence were observed. Our EC atlas offers valuble resoursce for identifying EC subclusters in single-cell datasets from body tissues or organoids, facilitating the screen of tissue-specific targeted therapies, and serving as a powerful tool for future discoveries.
Indexed as
Identifiers
39508863What OpenQuestion holds
Registered trials
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.