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Träuble, K. ; Munz, M.* ; Pauli, J.* ; Sachs, N.* ; Vafadarnejad, E.* ; Carrillo-Roa, T.* ; Maegdefessel, L.* ; Kastner, P.* ; Heinig, M.

Integrated single-cell atlas of human atherosclerotic plaques.

Nat. Commun. 16:8255 (2025)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Atherosclerosis, a major cause of cardiovascular diseases, is characterized by the buildup of lipids and chronic inflammation in the arteries, leading to plaque formation and potential rupture. Despite recent advances in single-cell transcriptomics (scRNA-seq), the underlying immune mechanisms and transformations in structural cells driving plaque progression remain incompletely defined. Existing datasets often lack comprehensive coverage and consistent annotations, limiting the utility of downstream analyses. Here, we present an integrated single-cell atlas of human atherosclerotic plaques, covering roughly 250k high-quality annotated cells. We achieve robust cell type annotations validated by expert consensus and surface protein measurements. Using this atlas, we introduce distinct markers for plaque neutrophils, identify a proangiogenic endothelial cell cluster enriched in advanced lesions, and specialized macrophage subsets. We also establish that fibromyocytes are exclusive to vascular tissue. This comprehensive atlas enables accurate automatic cell type annotation of new datasets, improves experimental design by guiding sample size and detection power, and supports the deconvolution of bulk RNA-seq data. An interactive WebUI makes these resources widely accessible.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Vascular-lesions; Histological Classification; Arteriosclerosis; Macrophages; Definition; Committee; Council; Expression; Landscape; Arteries
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 16, Heft: 1, Seiten: , Artikelnummer: 8255 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
Förderungen Projekt DEAL
DZHK (German Center for Cardiovascular Research)
Chan Zuckerberg Foundation
DFG
Bavarian State Ministry of Health and Care through the DigiMed Bayern project on P4 medicine
ERC Consolidator Grant LongTX
Helmholtz Association