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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Label-free LC–MS profiles nearly 5,000 cells, resolving smooth muscle subtypes and disease-associated phenotypes
A label-free single-cell proteomics workflow enables detailed characterization of cell states in complex vascular tissue.
Researchers profiled nearly 5,000 individual cells from mouse aortic tissue, quantifying around 500 proteins per cell.
Clustering identified major aortic cell types and distinct smooth muscle cell phenotypes, with some linked to Marfan syndrome.
Endothelial cells in Marfan mice showed reduced adhesion proteins and increased smooth muscle-associated proteins.
Integrating transcriptomic and proteomic data revealed additional clusters, highlighting potential disease markers.
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.
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