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GwAAP: A genome-wide amino acid coding-decoding quantitative proteomics system.

Li Cheng1, Xuetong Yue2, Zhaoyu Qin2

  • 1CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

Iscience
|December 5, 2022
PubMed
Summary
This summary is machine-generated.

A new genome-wide amino acid coding-decoding quantitative proteomic (GwAAP) system enables precise protein quantification. This novel method accurately measures proteins, advancing proteomic analysis in biological research.

Keywords:
Biochemistry methodsBiological sciences research methodologiesProteomics

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Area of Science:

  • Proteomics
  • Systems Biology
  • Biochemistry

Background:

  • Mass spectrometry-based proteomics is crucial in biological sciences but struggles with accurate proteome-wide quantification, especially for signaling pathways.
  • Precise quantification of protein abundance is essential for understanding complex biological processes and signaling networks.

Purpose of the Study:

  • To develop and validate a novel system for accurate and unbiased proteome-wide quantification.
  • To introduce the genome-wide amino acid coding-decoding quantitative proteomic (GwAAP) system for precise protein measurement.

Main Methods:

  • The genome-wide amino acid coding-decoding quantitative proteomic (GwAAP) system was developed, assigning unique code peptides to target proteins.
  • These code peptides were incorporated into the N-terminus of proteins for identification and quantification via mass spectrometry.
  • The system was tested by tagging 40 yeast proteins and analyzing their proteomes.

Main Results:

  • All 40 tagged yeast proteins were successfully identified and quantified using the GwAAP system.
  • The system demonstrated a large and consistent quantitative dynamic range, with a CV slope <10% and R² > 0.8.
  • Alterations in yeast glucose and galactose metabolism pathways were verified under different carbon source conditions, validating the system's biological relevance.

Conclusions:

  • The GwAAP system offers a robust strategy for precise and potentially absolute proteome quantification.
  • This technology can overcome current limitations in quantitative proteomics, enabling unbiased analysis of entire proteomes.
  • The GwAAP system has significant implications for advancing systems biology and understanding cellular functions.