Proteomic Profiling Defines Vascular Cell States
Label-free LC–MS profiles nearly 5,000 cells, resolving smooth muscle subtypes and disease-associated phenotypes
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A label-free single-cell proteomics workflow enables detailed characterization of cell states in complex vascular tissue.
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Researchers profiled nearly 5,000 individual cells from mouse aortic tissue, quantifying around 500 proteins per cell.
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Clustering identified major aortic cell types and distinct smooth muscle cell phenotypes, with some linked to Marfan syndrome.
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Endothelial cells in Marfan mice showed reduced adhesion proteins and increased smooth muscle-associated proteins.
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Integrating transcriptomic and proteomic data revealed additional clusters, highlighting potential disease markers.
