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Updated: Jun 15, 2026

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Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
Published on: July 6, 2014
Quantitative top-down proteomics of SILAC labeled human embryonic stem cells
Timothy S Collier1, Prasenjit Sarkar, Balaji Rao
1W. M. Keck FT-ICR Mass Spectrometry Laboratory, Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, USA.
Journal of the American Society for Mass Spectrometry
|March 5, 2010
Summary
This study introduces quantitative top-down proteomics for human embryonic stem cells (hESCs). We identified 11 proteins, advancing the understanding of hESC pluripotency and differentiation.
Area of Science:
- Proteomics
- Stem Cell Biology
- Mass Spectrometry
Background:
- Human embryonic stem cells (hESCs) are crucial for regenerative medicine.
- Understanding the hESC proteome is vital for controlling pluripotency and differentiation.
- Current proteomic methods have limitations in characterizing intact proteins.
Purpose of the Study:
- To perform the first quantitative top-down proteomic analysis of hESCs.
- To identify intact proteins involved in maintaining hESC pluripotency.
- To develop a quantitative framework for hESC proteome analysis.
Main Methods:
- Quantitative top-down proteomics utilizing Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC).
- Nano-flow reverse-phase chromatography coupled to a linear ion trap Fourier transform ion cyclotron resonance mass spectrometer (nLC-LTQ-FT-ICR-MS).
- Accurate intact mass measurement, MS/MS fragmentation, and amino acid counting for protein identification.
Main Results:
- Successfully identified 11 proteins in hESCs using quantitative top-down proteomics.
- Demonstrated the feasibility of SILAC-based quantitative analysis for intact proteins in hESCs.
- Developed a mathematical model to address quantification challenges, including post-translational modifications and amino acid conversions.
Conclusions:
- Quantitative top-down proteomics is a powerful approach for hESC research.
- This study provides foundational proteomic data for understanding hESC pluripotency.
- Further research can build upon this methodology to explore hESC differentiation pathways.

