The RiboMaP Spectral Annotation Method Applied to Various ADP-Ribosylome Studies Including INF-γ-Stimulated Human

Sasha A Singh1, Shiori Kuraoka1, Diego Vinicius Santinelli Pestana1

  • 1Department of Medicine, Center for Interdisciplinary Cardiovascular Sciences, Brigham Women's Hospital and Harvard Medical School, Boston, MA, United States.

Insights

ADP-ribosylation (ADPr) is crucial in disease. A new tool, RiboMaP, improves the analysis of ADPr proteins from mass spectrometry data, aiding research in inflammation and cardiovascular disease.

Area of Science:

  • Biochemistry
  • Proteomics
  • Bioinformatics

Background:

  • ADP-ribosylation is a key post-translational modification with roles in cancer, inflammation, and cardiovascular disease.
  • Despite advances in ADP-ribosylation mass spectrometry, computational tools for assessing data quality are limited.
  • Accurate identification of ADP-ribosylated proteins is essential for understanding cellular signaling.

Purpose of the Study:

  • To evaluate the broad applicability of the RiboMaP annotation strategy for ADP-ribosylated peptides across diverse mass spectrometry datasets.
  • To assess the effectiveness of RiboMaP in improving spectral annotation quality for ADP-ribosylated proteins.
  • To investigate ADP-ribosylation responses to IFN-γ in the context of inflammation.

Main Methods:

  • Leveraged publicly available ADP-ribosylome datasets from various mass spectrometers.
  • Applied the RiboMaP strategy to analyze fragmentation spectra of ADP-ribosylated peptides, focusing on m-ions and p-ions.
  • Reanalyzed in vitro ADP-ribosylome data to identify responses to IFN-γ.

Main Results:

  • RiboMaP demonstrated improved spectral annotation of ADP-ribosylated peptides across different datasets, despite variations in fragmentation spectra.
  • The study confirmed the utility of RiboMaP in enhancing the reliability of ADP-ribosylation identification.
  • Analysis revealed insights into ADP-ribosylation signaling pathways related to inflammation.

Conclusions:

  • RiboMaP is a valuable computational resource for improving the quality assessment of ADP-ribosylated proteins identified by mass spectrometry.
  • Further development of bioinformatics workflows is needed for comprehensive analysis of ADP-ribosylation in inflammation and cardiovascular disease research.
  • Enhanced data analysis tools are critical for fully elucidating the role of ADP-ribosylation in diverse biological processes.