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Related Experiment Video

Updated: Jun 20, 2025

Quantitative Phosphoproteomics in Fatty Acid Stimulated Saccharomyces cerevisiae
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Quantitative Phosphoproteomics in Fatty Acid Stimulated Saccharomyces cerevisiae

Published on: October 12, 2009

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A Rapid One-Pot Workflow for Sensitive Microscale Phosphoproteomics.

Gul Muneer1,2,3, Ciao-Syuan Chen1, Tzu-Tsung Lee1

  • 1Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.

Journal of Proteome Research
|July 22, 2024
PubMed
Summary
This summary is machine-generated.

A new one-pot phosphoproteomics workflow (SOP-Phos) combined with data-independent acquisition mass spectrometry (DIA-MS) significantly enhances sensitivity and efficiency for microscale phosphoproteomic analysis.

Keywords:
Data-Independent AcquisitionEGFR-Tyrosine Kinase Inhibitor (TKI)Lung CancerPhosphoproteomicsSample Preparation

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Molecular Biology

Background:

  • Phosphoproteomics sensitivity has historically lagged behind single-cell proteomics due to sample complexity and input requirements.
  • Existing methods often involve lengthy sample preparation and substantial sample amounts, limiting microscale applications.

Purpose of the Study:

  • To develop a rapid, sensitive, and robust one-pot phosphoproteomics workflow (SOP-Phos) for microscale analysis.
  • To integrate SOP-Phos with data-independent acquisition mass spectrometry (DIA-MS) to improve phosphoproteomic identification and quantification.

Main Methods:

  • A novel one-pot protocol (SOP-Phos) using sodium deoxycholate lysis, direct trypsinization, and TiO2 bead enrichment in a single tube.
  • Integration with n-dodecyl β-d-maltoside precoated tubes to minimize adsorptive losses.
  • Application of data-independent acquisition mass spectrometry (DIA-MS) for enhanced data acquisition.

Main Results:

  • SOP-Phos workflow completed in 3-4 hours, achieving 1.4-fold higher phosphopeptide identification coverage.
  • SOP-Phos-DIA demonstrated >90% specificity, enhanced sensitivity, low missing values (<1%), and improved reproducibility (8-10% CV).
  • Identified thousands of phosphopeptides from low microgram cell lysates and thousands of cells, enabling mapping of key signaling sites like EGFR autophosphorylation.

Conclusions:

  • SOP-Phos-DIA is an efficient and robust protocol for microscale phosphoproteomic analysis.
  • The workflow significantly improves sensitivity and reduces sample input requirements.
  • Demonstrated feasibility in lung cancer models, providing mechanistic insights into EGFR-TKI resistance.