DO-MS
DO-MS optimizes liquid chromatography-tandem mass spectrometry (LC-MS/MS) acquisition and diagnostics for bottom-up and single-cell proteomics (including SCoPE-MS), enabling identification and resolution of factors that reduce MS2 ion sampling and signal intensity.
Key Features:
- Multi-level data integration: Integrates data across all levels of bottom-up LC-MS/MS analysis to provide comprehensive diagnostics.
- Interactive visualization techniques: Employs interactive visualization techniques to diagnose performance issues in LC-MS/MS workflows.
- Diagnostic scope: Diagnoses contributors to low MS2 signal including inadequate liquid chromatography separation, ionization inefficiencies, suboptimal elution apex targeting, ion transfer problems, and poor ion detection.
- Elution apex optimization: Facilitates targeted optimization of elution peak apex sampling to improve apex targeting and ion accumulation times.
- Performance gains: Enables increases in ion delivery for MS2 analysis of up to 370% through optimized apex sampling and enhanced ion accumulation.
- Single-cell proteomics compatibility: Applied to single-cell proteomics by mass spectrometry (SCoPE-MS) workflows as well as general bottom-up proteomics.
- Complementary to MaxQuant: Complements outputs from software such as MaxQuant by providing integrated visualization and diagnostics for LC-MS/MS data.
Scientific Applications:
- Single-cell proteomics (SCoPE-MS): Diagnose and optimize LC-MS/MS acquisition parameters to improve protein detection and quantification in SCoPE-MS experiments.
- LC-MS/MS method development: Identify and resolve chromatographic, ionization, and ion transfer issues during method optimization for bottom-up proteomics.
- MS2 ion sampling and signal enhancement: Improve apex sampling efficiency and ion accumulation to increase MS2 signal intensity and peptide identification rates.
Methodology:
Integrates bottom-up LC-MS/MS data and applies interactive visualization-driven diagnostics to identify causes of low MS2 signal and to optimize elution apex sampling and ion accumulation times.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool, desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/9/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Huffman RG, Chen A, Specht H, Slavov N. DO-MS: Data-Driven Optimization of Mass Spectrometry Methods. Journal of Proteome Research. 2019;18(6):2493-2500. doi:10.1021/acs.jproteome.9b00039. PMID:31081635. PMCID:PMC6737531.
PMID: 31081635
PMCID: PMC6737531
Funding: - National Institute of General Medical Sciences: DP2GM123497
Documentation
Downloads
- Software packageVersion: 1.0.9https://github.com/SlavovLab/DO-MS/releases/tag/v1.0.9
Links
Repository
https://github.com/SlavovLab/DO-MSIssue tracker
https://github.com/SlavovLab/DO-MS/issues