SAMPEI

SAMPEI identifies modified peptides from high-resolution mass spectrometry proteomics data using a spectral alignment-based approach to enable unbiased discovery of amino acid, post-translational, and non-canonical protein modifications.


Key Features:

  • Spectral alignment methodology: Employs spectral alignment (Spectral Alignment-based Modified Peptide Identification) to identify modified peptides without requiring prior knowledge of modification identities.
  • Detection of substoichiometric modifications: Enables identification of low-abundance, substoichiometric modifications within complex cellular extracts by aligning experimental spectra to reference signals.
  • High specificity and sensitivity: Demonstrated specificity and sensitivity through validation with synthetic standards and controlled chemical labeling experiments.
  • Robust parametrization and versatility: Provides parametrization that supports reliable performance across diverse experimental conditions and supports exploration of macromolecular modifications including peptides beyond canonical proteins.

Scientific Applications:

  • Protein modification dynamics: Applied to investigate dynamics of protein modifications and their roles in cellular signaling and regulatory mechanisms.
  • Mouse macrophage differentiation mapping: Applied to map mouse macrophage differentiation, revealing an array of post-translational modifications including distinct forms of cysteine itaconatylation.

Methodology:

SAMPEI aligns high-resolution mass spectrometry spectra to identify modified peptides and compares experimental spectra against synthetic standards and controlled chemical labeling experiments to distinguish genuine biological modifications from artifacts.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
11/24/2024

Operations

Publications

Cifani P, Li Z, Luo D, Grivainis M, Intlekofer AM, Fenyö D, Kentsis A. Discovery of protein modifications using high resolution differential mass spectrometry proteomics. Unknown Journal. 2020. doi:10.1101/2020.06.19.162321.

Cifani P, Li Z, Luo D, Grivainis M, Intlekofer AM, Fenyö D, Kentsis A. Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics. Journal of Proteome Research. 2021;20(4):1835-1848. doi:10.1021/acs.jproteome.0c00638. PMID:33749263. PMCID:PMC8341206.

PMID: 33749263
PMCID: PMC8341206
Funding: - National Cancer Institute: CA008748, CA204396, CA214812, CA235285