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Updated: Jun 29, 2026

Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry
Published on: April 4, 2018
A Chemical Proteomics Method to Quantify Cysteine S-Acylation
Chloé Freyermuth1, Jean-William Dupuy2, Thibaud T Renault3
1Univ. Bordeaux, CNRS, Bordeaux INP, CBMN, UMR 5248, IECB, F-33600 Pessac, France.
This study introduces a new method to precisely quantify protein S-acylation, a crucial modification affecting cell function and disease. The workflow enables large-scale S-acylation analysis, revealing dynamic changes during autophagy.
Area of Science:
- Biochemistry
- Proteomics
- Cellular Biology
Background:
- S-acylation (S-palmitoylation) is a reversible posttranslational modification involving fatty acid addition to cysteine residues.
- While mass spectrometry has identified many S-acylated proteins, precise quantification of S-acylation levels at the proteome-wide scale remains challenging.
- Accurate quantification is vital for understanding S-acylation's role in cellular processes, health, and disease.
Purpose of the Study:
- To develop and optimize a robust workflow for the precise, quantitative analysis of S-acylation across the proteome.
- To enable the quantification of S-acylation levels for individual cysteine residues within biological samples.
- To apply the developed workflow to investigate dynamic S-acylation changes in response to cellular stimuli.
Main Methods:
- Developed a quantitative workflow utilizing sequential labeling of free and S-acylated cysteine residues with isotopic reagents.
- Optimized the workflow by comparing alkyne-tagged probes and azido-tagged capture reagents for site identification.
- Integrated the workflow with high-field asymmetric waveform ion mobility spectrometry (FAIMS) coupled with LC-MS/MS for peptide separation.
Main Results:
- Quantified over 17,000 unique cysteine residues in biological samples using the enhanced workflow.
- Successfully applied the workflow to quantify S-acylation levels in a HeLa cell proteome.
- Identified dynamic alterations in S-acylation in response to autophagy induction.
Conclusions:
- The developed S-acylation quantification workflow significantly advances the ability to measure S-acylation levels proteome-wide.
- This method provides a powerful tool for dissecting the functional roles of S-acylation in cellular signaling and disease pathogenesis.
- The workflow revealed dynamic S-acylation changes associated with autophagy, highlighting its utility in studying dynamic posttranslational modifications.
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