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Published on: November 15, 2017
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Multiplexed phosphoproteomics of low cell numbers using SPARCE.
Emily J Gaizley1, Xiuyuan Chen1, Amandeep Bhamra1
1UCL Cancer Institute, University College London, London, UK.
Communications Biology
|April 26, 2025
Summary
We developed SPARCE, a new method for analyzing proteins in rare cells. This technique improves phosphoproteomic analysis of low cell numbers, aiding in understanding cellular diversity and disease signaling.
Area of Science:
- Proteomics and cellular signaling analysis.
- Mass spectrometry applications in biological research.
Background:
- Global protein analysis is crucial for understanding cellular diversity and disease.
- Next-generation sequencing captures cellular heterogeneity but not downstream signaling.
- Phosphoproteomics is vital for signaling analysis but typically requires high cell input.
Purpose of the Study:
- To develop a method for sensitive phosphoproteomic analysis of rare cell populations.
- To overcome limitations in phosphoproteomics for low cell numbers.
- To enable unbiased protein-level analysis of signaling in limited samples.
Main Methods:
- Introduction of SPARCE (Streamlined Phosphoproteomic Analysis of Rare CElls) workflow.
- Integration of cell isolation, water-based lysis, and on-tip TMT labeling.
- Multiplexed phosphopeptide enrichment for enhanced quantification.
Main Results:
- SPARCE enhances labeling efficiency and phosphoproteome coverage compared to traditional methods.
- Successfully quantified phosphosite changes from as few as 1000 FACS-sorted glioblastoma stem cells.
- Demonstrated reliable analysis of rare cell populations.
Conclusions:
- SPARCE significantly advances phosphoproteomic analysis capabilities for rare cells.
- The workflow expands possibilities for signaling pathway investigation in limited biological samples.
- Enables deeper understanding of cellular diversity and disease mechanisms through protein modification analysis.
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