Proteomic Profiling Defines Vascular Cell States
Label-free LC–MS profiles nearly 5,000 cells, resolving smooth muscle subtypes and disease-associated phenotypes
Clinical Scorecard: Proteomic Profiling Defines Vascular Cell States
At a Glance
| Category | Detail |
|---|
| Condition | Marfan syndrome |
| Key Mechanisms | Altered protein expression and cellular phenotypic shifts in vascular tissue. |
| Target Population | Patients with Marfan syndrome and related vascular conditions. |
| Care Setting | Research laboratories and clinical settings focusing on vascular diseases. |
Key Highlights
- Label-free single-cell proteomics enables detailed characterization of vascular cell states.
- Identification of distinct smooth muscle cell phenotypes associated with Marfan syndrome.
- Proteins LRP1 and PRSS2 show increased abundance in disease models.
- Endothelial cells exhibit reduced adhesion proteins and increased smooth muscle markers.
- Integration of transcriptomic and proteomic data reveals complementary insights into cellular states.
Guideline-Based Recommendations
Diagnosis
- Utilize proteomic profiling to identify disease-associated cell states.
Management
- Consider multi-omic approaches for understanding aneurysm progression.
Monitoring & Follow-up
- Track changes in protein expression levels in vascular cells over time.
Risks
- Monitor for phenotypic shifts that may indicate disease progression.
Patient & Prescribing Data
Individuals diagnosed with Marfan syndrome.
Potential targets for therapeutic intervention include ACE, TPM4, LRP1, and PRSS2.
Clinical Best Practices
- Implement single-cell proteomics in research to enhance understanding of vascular diseases.
- Use spatial proteomics to confirm anatomical distribution of key markers.
- Integrate proteomic and transcriptomic data for comprehensive cellular analysis.
References
