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Fisher's exact test is a statistical significance test widely used to analyze 2x2 contingency tables, particularly in situations where sample sizes are small. Unlike the chi-squared test, which approximates P-values and assumes minimum expected frequencies of at least five in each cell, Fisher's exact test calculates the exact probability (P-value) of observing the data or more extreme results under the null hypothesis. This feature makes it especially valuable when the assumptions of...
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Updated: Jan 31, 2026

Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry
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Data-Independent Acquisition for the Orbitrap Q Exactive HF: A Tutorial.

Léon Reubsaet1,2, Michael J Sweredoski1, Annie Moradian1

  • 1Proteome Exploration Laboratory, Beckman Institute , California Institute of Technology , 1200 East California Boulevard , Pasadena , California 91125 , United States.

Journal of Proteome Research
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Summary
This summary is machine-generated.

This tutorial guides setting up data-independent acquisition (DIA) methods on Orbitrap mass analyzers. It details key steps for tailored DIA method development and optimization for protein identification and quantification.

Keywords:
Orbitrap mass analyzeractual scan timesdata-independent acquisitionmethod development strategy

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Analytical Chemistry

Background:

  • Data-independent acquisition (DIA) is a key mass spectrometry technique for protein analysis.
  • Optimizing DIA methods on Orbitrap analyzers is crucial for accurate protein identification and quantification.
  • Existing protocols may lack detailed guidance for Orbitrap-specific DIA method setup.

Purpose of the Study:

  • To provide a comprehensive tutorial for setting up data-independent acquisition (DIA) methods on Orbitrap mass analyzers.
  • To detail essential parameters and measurements for optimizing DIA performance.
  • To enable the development of tailored DIA methods for complex protein samples.

Main Methods:

  • Spectral library construction post-sample fractionation.
  • Optimization of data points per chromatographic peak.
  • Determination of scan times for mass spectrometric steps.
  • Development and evaluation of various DIA methods.
  • Testing the strategy on Pseudomonas aeruginosa lysates and comparison with data-dependent acquisition (DDA).

Main Results:

  • A systematic strategy for DIA method development was established.
  • The approach allows for tailored DIA methods suited to specific experimental needs.
  • Performance evaluation provided perspective on DIA results compared to conventional DDA.

Conclusions:

  • The tutorial offers a practical framework for optimizing DIA methods on Orbitrap instruments.
  • Tailored DIA method development enhances protein identification and quantification capabilities.
  • This strategy empowers researchers to maximize the utility of DIA for complex proteomic analyses.