Q4SRM
Q4SRM evaluates signal quality of stable-isotope heavy-labeled peptide standards in LC-SRM-MS targeted proteomics experiments to support quality control of SRM-based quantification.
Key Features:
- Heavy-labeled peptide assessment: Rapidly assesses signal quality from all stable-isotope heavy-labeled peptides within a sample.
- Four QC metrics: Employs four distinct metrics to quantify signal quality for SRM data.
- Dual-level analysis: Evaluates both individual SRM transitions and the collective group of transitions associated with a single peptide.
- Automated flagging: Flags transitions or peptide groups that do not meet predefined quality-control metrics.
- High-throughput compatibility: Designed to handle SRM experiments monitoring hundreds to thousands of peptides across samples.
Scientific Applications:
- Targeted proteomics QC: Quality control for selected reaction monitoring (SRM) workflows in targeted proteomics.
- Standard verification: Verification of stable-isotope heavy-labeled peptide standards used for endogenous peptide quantification.
- Quantitative accuracy assurance: Ensures reliability of SRM-based quantification for clinical biomarker measurement and cellular modeling studies.
- Post-acquisition QC: Applied immediately after liquid chromatography-SRM-MS (LC-SRM-MS) analysis for dataset quality assessment.
Methodology:
Computes four distinct metrics applied to individual SRM transitions and to grouped transitions for each peptide, comparing values against predefined quality-control thresholds and flagging those that fail.
Topics
Collections
Details
- License:
- Other
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool, desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C#
- Added:
- 1/22/2019
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Publications
Gibbons BC, Fillmore TL, Gao Y, Moore RJ, Liu T, Nakayasu ES, Metz TO, Payne SH. Rapidly Assessing the Quality of Targeted Proteomics Experiments through Monitoring Stable-Isotope Labeled Standards. Journal of Proteome Research. 2018;18(2):694-699. doi:10.1021/acs.jproteome.8b00688. PMID:30525668. PMCID:PMC6537873.
Documentation
Downloads
- Software packagehttps://github.com/PNNL-Comp-Mass-Spec/Q4SRM/releases