Evidence map›Paper›PMID 40655014›Full record

ArticlebioRxiv : the preprint server for biology2025

The epigenomic landscape of single vascular cells reflects developmental origin and identifies disease risk loci.

Chad S Weldy, Soumya Kundu, João Monteiro, Wenduo Gu, Albert J Pedroza, Alex R Dalal, Matthew D Worssam, Daniel Li, Brian Palmisano, Quanyi Zhao and 8 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

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

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

18 authors.

Chad S WeldyDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.ORCID 0000-0003-4652-6422
Soumya KunduDepartment of Computer Science, Stanford University.
João MonteiroDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.
Wenduo GuDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.ORCID 0000-0002-3859-3150
Albert J PedrozaStanford Cardiovascular Institute, Stanford University.ORCID 0000-0001-5291-5980
Alex R DalalStanford Cardiovascular Institute, Stanford University.ORCID 0000-0002-9993-3817
Matthew D WorssamDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.ORCID 0000-0003-4391-5377
Daniel LiDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.
Brian PalmisanoDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.
Quanyi ZhaoDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.
Disha SharmaDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.
Trieu NguyenDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.
Ramendra KunduDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.
Michael P FischbeinDepartment of Cardiothoracic Surgery, Stanford University.ORCID 0000-0002-0638-2025
Jesse EngreitzDepartment of Genetics, Stanford University.ORCID 0000-0002-5754-1719
Anshul B KundajeDepartment of Computer Science, Stanford University.
Paul P ChengDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.ORCID 0000-0003-3429-2702
Thomas QuertermousDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University.ORCID 0000-0002-7645-9067

Funding

Stanford Center for Connecting DNA Variants to Function and PhenotypeUM1HG011972 · NHGRI · STANFORD UNIVERSITY · PI JESSE M ENGREITZ, THOMAS QUERTERMOUS · 2021 to 2026
$10.5M
Causal variant association mechanisms in TCF21 binding coronary disease lociR01HL134817 · NHLBI · STANFORD UNIVERSITY · PI THOMAS QUERTERMOUS · 2017 to 2026
$6.2M
The SMAD3 signaling network in coronary artery disease riskR01HL139478 · NHLBI · STANFORD UNIVERSITY · PI THOMAS QUERTERMOUS · 2018 to 2026
$3.7M
PDGFD regulates a transcriptional network to modulate smooth muscle cell transition and coronary artery disease riskR01HL156846 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2021 to 2024
$2.7M
Identifying tobacco-genetic interactions through study of the aryl hydrocarbon receptor pathway.R01HL151535 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2021 to 2024
$2.7M
LncRNA Transcriptional Mechanisms of Coronary Artery Disease RiskR01HL145708 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2019 to 2022
$1.6M
Adventitial Fibroblast Phenotypic Modulation in AtherosclerosisR01HL179083 · NHLBI · STANFORD UNIVERSITY · PI Paul Po Sheng cheng · 2025 to 2026
$1.4M
From Locus to Function: Role of ZEB2 in Human Risk of Coronary Artery DiseaseK08HL153798 · NHLBI · STANFORD UNIVERSITY · PI CHENG, PAUL PO SHENG · 2020 to 2024
$933k
ADAR mediated RNA editing is a causal mechanism in coronary artery diseaseK08HL167699 · NHLBI · STANFORD UNIVERSITY · PI Chad S Weldy · 2023 to 2026
$664k
A transcriptional network which governs smooth muscle transition is mediated by causal coronary artery disease gene PDGFDF32HL160067 · NHLBI · STANFORD UNIVERSITY · PI WELDY, CHAD S · 2021 to 2022
$135k
NHGRI NIH HHS UM1 HG011972NHLBI NIH HHS F32 HL160067NHLBI NIH HHS K08 HL153798NHLBI NIH HHS K08 HL167699NHLBI NIH HHS L30 HL159413NHLBI NIH HHS R01 HL134817NHLBI NIH HHS R01 HL139478NHLBI NIH HHS R01 HL145708NHLBI NIH HHS R01 HL151535NHLBI NIH HHS R01 HL156846NHLBI NIH HHS R01 HL179083
6 · The paper itself

Abstract

Vascular sites have distinct susceptibility to atherosclerosis and aneurysm, yet the biological underpinning of vascular site-specific disease risk is largely unknown. Vascular tissues have different developmental origins that may influence global chromatin accessibility, and understanding differential chromatin accessibility, gene expression profiles, and gene regulatory networks (GRN) on single cell resolution may give key insight into vascular site-specific disease risk. Here, we performed single cell chromatin accessibility (scATACseq) and gene expression profiling (scRNAseq) of healthy adult mouse vascular tissue from three vascular sites, 1) aortic root and ascending aorta, 2) brachiocephalic and carotid artery, and 3) descending thoracic aorta. Through a comprehensive analysis at single cell resolution, we discovered key regulatory enhancers to not only be cell type, but vascular site specific in vascular smooth muscle (SMC), fibroblasts, and endothelial cells. We identified epigenetic markers of embryonic origin with differential chromatin accessibility of key developmental transcription factors such as

Identifiers

PMID40655014
PMCPMC12247710

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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.