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Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry
Published on: April 4, 2018
SILAC-based quantification of Sirt1-responsive lysine acetylome
Yue Chen1, Gozde Colak, Yingming Zhao
1Ben May Department for Cancer Research, University of Chicago, Chicago, IL, USA.
Methods in Molecular Biology (Clifton, N.J.)
|September 10, 2013
Summary
Stable Isotope Labeling by Amino acids in Cell culture (SILAC) enables dynamic protein analysis. This method quantifies lysine acetylome changes in response to Sirt1, applicable to other post-translational modifications.
Area of Science:
- Proteomics
- Biochemistry
- Cell Biology
Background:
- Stable Isotope Labeling by Amino acids in Cell culture (SILAC) is a key in vivo metabolic labeling technique.
- Dynamic analysis of protein modifications is crucial for understanding cellular processes.
- Lysine acetylation is a significant post-translational modification involved in various cellular functions.
Purpose of the Study:
- To present a generalizable method combining SILAC, acetyllysine peptide enrichment, and mass spectrometry.
- To investigate dynamic changes in the lysine acetylome in response to Sirt1 activity.
- To demonstrate the applicability of the method for studying other post-translational modifications.
Main Methods:
- Stable Isotope Labeling by Amino acids in Cell culture (SILAC) for metabolic labeling.
- Affinity enrichment of acetyllysine peptides.
- Mass spectrometry for quantitative analysis.
Main Results:
- The study successfully applied the combined SILAC and acetyllysine enrichment method.
- Dynamic changes in the lysine acetylome were quantified in response to Sirt1.
- The method proved effective for sensitive detection of protein modification dynamics.
Conclusions:
- The described approach provides a robust platform for studying dynamic lysine acetylation.
- This methodology is adaptable for the quantitative analysis of other post-translational modifications.
- The technique facilitates deeper insights into cellular signaling pathways and regulatory mechanisms.

