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A Module for Analyzing Interactomes via APEX-MS Integrated into PatternLab for Proteomics.

Marlon D M Santos1,2, Amanda C Camillo-Andrade1,2, Azalia Rodriguez1,3

  • 1Analytical Biochemistry and Proteomics Unit, Instituto de Investigaciones Biológicas Clemente Estable, Institut Pasteur de Montevideo, Mataojo 2020, 11400 Montevideo, Uruguay.

Journal of the American Society for Mass Spectrometry
|April 12, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new PatternLab module for analyzing APEX-MS data, simplifying the identification of biotinylated peptides and proximal proteins. This tool enhances interactome studies by providing confident proximal protein sets.

Keywords:
APEX-MSPatternLab for proteomicsascorbate peroxidaseinteractomesprotein−protein interactions

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Area of Science:

  • Proteomics
  • Biochemistry
  • Molecular Biology

Background:

  • Proximity labeling techniques like APEX-MS are crucial for mapping cellular interactomes.
  • Verifying biotinylated peptides in APEX-MS data presents a significant analytical challenge.

Purpose of the Study:

  • To develop and integrate a novel module into PatternLab for proteomics.
  • To facilitate the interpretation of APEX-MS data by identifying diagnostic fragment ions of APEX modifications.

Main Methods:

  • A new module was developed and integrated into the PatternLab for proteomics software.
  • The module targets diagnostic fragment ions specific to APEX modifications for data interpretation.
  • A previously published APEX-MS dataset was reanalyzed using the new module.

Main Results:

  • The reanalysis identified a significant number of biotinylated peptides.
  • A confident set of proximal proteins interacting with labeled molecules was determined.
  • The module offers an integrated and user-friendly solution for APEX-MS data analysis.

Conclusions:

  • The new PatternLab module provides a robust method for APEX-MS data interpretation.
  • This tool enhances the accuracy and confidence in identifying proximal proteins.
  • The module is expected to be a valuable asset for researchers conducting interactome studies.