Login / Signup

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

Marlon Dias Mariano SantosAmanda C Camillo-AndradeAzalia RodriguezRosario Durán
Published in: Journal of the American Society for Mass Spectrometry (2024)
Proximity labeling techniques, such as APEX-MS, provide valuable insights into proximal interactome mapping; however, the verification of biotinylated peptides is not straightforward. With this as motivation, we present a new module integrated into PatternLab for proteomics to enable APEX-MS data interpretation by targeting diagnostic fragment ions associated with APEX modifications. We reanalyzed a previously published APEX-MS data set and report a significant number of biotinylated peptides and, consequently, a confident set of proximal proteins. As the module is part of the widely adopted PatternLab for proteomics software suite, it offers users a comprehensive, easy, and integrated solution for data analysis. Given the broad utility of the APEX-MS technique in various biological contexts, we anticipate that our module will be a valuable asset to researchers, facilitating and enhancing interactome studies. PatternLab's APEX, including a usage protocol, is available at http://patternlabforproteomics.org/apex.
Keyphrases
  • mass spectrometry
  • data analysis
  • multiple sclerosis
  • ms ms
  • high resolution
  • randomized controlled trial
  • label free
  • machine learning
  • deep learning
  • artificial intelligence
  • high density