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Related Experiment Video

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A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry
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Quantification of proteins using data-independent analysis (MSE) in simple andcomplex samples: a systematic

Yishai Levin1, Eva Hradetzky, Sabine Bahn

  • 1Biological Services, Weizmann Institute of Science, Rehovot, Israel. yishai.levin@weizmann.ac.il

Proteomics
|July 14, 2011
PubMed
Summary

Data-independent analysis (MS(E)) offers accurate protein quantification across diverse sample types, demonstrating a wide dynamic range and high sequence coverage for reliable proteomic analysis.

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biochemistry

Background:

  • Mass spectrometry-based methods are crucial for protein quantification.
  • Data-independent acquisition (MS(E)) is a recent technique for proteomic analysis.
  • Comprehensive performance evaluation of MS(E) is needed.

Purpose of the Study:

  • To systematically evaluate the MS(E) approach for quantitative proteomic analysis.
  • To assess MS(E) performance across low-, medium-, and high-complexity samples.
  • To validate MS(E) for accurate protein quantification and sequence coverage.

Main Methods:

  • Utilized MS(E) for quantitative proteomic analysis.
  • Analyzed samples of varying complexity (low, medium, high).
  • Determined linear dynamic range and limit of quantification.

Main Results:

  • MS(E) exhibits a linear dynamic range of three orders of magnitude.
  • Limit of quantification: 61 amol/uL (low complexity) and 488 amol/uL (high complexity).
  • Accurate quantification achieved for expression ratios from 1:1.5 to 1:6; underestimation noted.

Conclusions:

  • MS(E) is validated as a robust method for accurate quantitative proteomic analysis.
  • The approach provides high sequence coverage for target proteins.
  • MS(E) demonstrates reliable performance across different sample complexities.