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March 6, 2026Molecular & Cellular Proteomics5 citationsOpen Access

Single Cell Proteomics Reveals Novel Cell Phenotypes in Marfan Mouse Aneurysm

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LSLouis SaddicADAshley DinhGKGiselle Kaneda

Key Points

  • The research aims to identify novel cell phenotypes linked to aortic aneurysms using single cell proteomics in Marfan mice.
  • Performed single-cell proteomic analyses using direct label-free mass spectrometry
  • Applied Leiden clustering for cell type identification
  • Compared single-cell RNA and protein profiles
  • Utilized multiplexed-fluorescence based spatial proteomics for validation
  • Identified 7 distinct smooth muscle cell subtypes in the aorta
  • Observed differences in cell proportions and protein expression based on genotype and sex
  • Demonstrated genotype-dependent enrichment of unique smooth muscle cell subtypes
  • Validated key genotype markers through spatial proteomics

Abstract

Abstract: This report describes single-cell proteomic analyses of cells dissociated from a complex mammalian tissue using direct label-free mass spectrometry (SCP-MS). The nanoDTSC approach was applied to profile individual cells from aorta of male and female wild-type and Fbn1C1041G/+ Marfan mice. Leiden clustering identified all major aortic cell types including 7 distinct smooth muscle cell subtypes, with informative differences in cell proportions and differentially expressed proteins within cell types observed for both genotype and sex. Comparisons between single-cell RNA and single-cell proteomic profiles showed similarities in detection of major subtypes but not differentiation between smooth muscle cell subtypes. Integrated multi-omics analysis further identified genotype-dependent enrichment of unique SMC subtypes, relative to either protein or RNA datasets. Multiplexed-fluorescence based spatial proteomics validated several of these key genotype markers. Overall, these studies demonstrate the power of SCP-MS to detect novel aneurysm biology and serve as a guide for future development of SCP-MS methodology as it is applied to complex tissue cell mixtures and its integration with other omic modalities.

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Cite This Study

Saddic et al. (2026) studied this question.

synapsesocial.com/papers/69aa7008531e4c4a9ff596bchttps://doi.org/10.1016/j.mcpro.2026.101549
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Combined genome and transcriptome analysis identifies molecular signatures of aortic disease in patients with Marfan syndrome2025
  2. 2Abstract 3001: Multiomics Analysis On Ascending Aorta Reveals New Potential Targets Of Marfan Syndrome-associated Thoracic Aortic Aneurysm2024
  3. 3Proteomics analysis on aortic smooth muscle cells reveals new potential targets for the treatment of Marfan syndrome-associated thoracic aortic aneurysm2024
  4. 4MicroCT imaging reveals differential 3D micro-scale remodelling of the murine aorta in ageing and Marfan syndrome2018 · 17 citations
  5. 5Single-nucleus Multiomic Analyses Identifies Gene Regulatory Dynamics of Phenotypic Modulation in Human Aneurysmal Aortic Root2024 · 1 citations