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Peptide Identification Using Tandem Mass Spectrometry01:33

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
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A Ready-to-Use Data Analysis Pipeline for BioID Experiments Using Data-Dependent or Data-Independent Acquisition Mass

Sara Dufour1,2,3, Teresa Mendes Maia1,2,3, Laura Van Moortel1,2

  • 1VIB-UGent Center for Medical Biotechnology, Ghent, Belgium.

Methods in Molecular Biology (Clifton, N.J.)
|July 10, 2025
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Summary
This summary is machine-generated.

This study presents a data analysis workflow for proximity-dependent biotin identification (BioID) experiments using mass spectrometry (MS). It compares data-dependent acquisition (DDA) and data-independent acquisition (DIA) methods for improved protein interaction identification.

Keywords:
DIA-MSDIA-NNFragPipeGlucocorticoid receptorSAINTqTurboID

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Area of Science:

  • Proteomics
  • Molecular Biology
  • Biochemistry

Background:

  • Proximity labeling techniques like BioID are crucial for interactomics.
  • Traditional data-dependent acquisition (DDA) in mass spectrometry (MS) has limitations in identifying low-abundance peptides.

Purpose of the Study:

  • To outline a comprehensive data analysis workflow for BioID experiments.
  • To compare the efficacy of DDA and data-independent acquisition (DIA) for BioID.
  • To enhance the identification of protein-protein interactions.

Main Methods:

  • Utilized proximity-dependent biotin identification (BioID) with mass spectrometry (MS).
  • Applied both data-dependent acquisition (DDA) and data-independent acquisition (DIA) modes.
  • Employed MaxQuant, FragPipe, DIA-NN, R, and SAINTq for data analysis and statistical validation.

Main Results:

  • Developed and validated a data analysis pipeline for BioID experiments.
  • Demonstrated that DIA offers more comprehensive proteomic analysis compared to DDA.
  • Successfully identified bait-prey interactions using the developed workflow.

Conclusions:

  • The presented workflow enhances the reliability of identifying protein interactions from BioID experiments.
  • DIA-MS is recommended for comprehensive proteomic profiling in BioID studies.
  • This approach provides a robust method for exploring protein proximity in native cellular contexts.