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Related Experiment Video

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Multi-in-One: Multiple-Proteases, One-Hour-Shot Strategy for Fast and High-Coverage Phosphoproteomic Investigation.

Xiaojing Gao1, Qingrun Li1,2, Yansheng Liu3

  • 1CAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences; University of Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China.

Analytical Chemistry
|June 2, 2020
PubMed
Summary

A novel multi-in-one proteomics strategy significantly enhances phosphosite identification and quantification. This approach reduces analysis time and improves reproducibility for comprehensive phosphoproteome coverage, even for low-abundance transcription factors.

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Area of Science:

  • Proteomics
  • Biochemistry
  • Molecular Biology

Background:

  • Traditional multiple-protease shotgun proteomics improves phosphosite identification but is time-consuming and lacks reproducibility.
  • There is a need for faster, more reproducible methods to achieve comprehensive phosphosite coverage.

Purpose of the Study:

  • To develop and validate a multi-in-one strategy for efficient and reproducible phosphosite identification and quantification.
  • To reduce the time and complexity associated with traditional phosphoproteomics workflows.

Main Methods:

  • A "three-in-one" workflow combining multiple-protease digestion, one-step enrichment, and one-shot data-independent acquisition (DIA).
  • A "six-in-one" strategy utilizing a rapid 66-minute chromatographic method for phosphosite localization.
  • Application of the strategy to identify phosphorylation events on low-abundance transcription factors in living cells.

Main Results:

  • The "three-in-one" strategy identified over 19,700 and 13,500 phosphosites using trypsin-like and non-trypsin-like proteases, respectively.
  • Nearly 30,000 phosphosites were quantified with high reproducibility using the combined strategy.
  • The "six-in-one" strategy localized 19,445 phosphosites, significantly reducing database search time.
  • Discovered 2,675 phosphorylation events on low-abundance transcription factors with high coverage.

Conclusions:

  • The multi-in-one strategy offers a time-saving, sensitive, and highly reproducible method for large-scale phosphoproteomics.
  • This approach significantly improves phosphosite coverage and enables discovery of phosphorylation events on low-abundance proteins.
  • The developed strategy makes multi-protease digestion practical for extensive proteomic analyses.