Q4SRM

Q4SRM is a software tool to enhance the quality control process in targeted proteomics experiments, particularly those utilizing selected reaction monitoring (SRM). SRM experiments have become indispensable in clinical biomarker discovery, cellular modeling, and various biological research areas, primarily due to their high accuracy and reproducibility in quantifying proteins.

These experiments' cornerstone of quantitative accuracy is using stable-isotope, heavy-labeled peptide standards. These standards are spiked into samples and serve as benchmarks for calculating the abundance of endogenous peptides. Given their pivotal role, the precision of their measurement is crucial for determining the success of data acquisition in SRM experiments.

With advancements in mass spectrometry (MS) technology, it's now possible to monitor hundreds of peptides across hundreds to thousands of samples. This scale of analysis brings forth a significant challenge in quality assessment, making manual checks impractical and highlighting the need for automated quality control solutions.

Enter Q4SRM, designed to rapidly evaluate the signal quality from all heavy-labeled peptides in an experiment and identify those that fail to meet established quality-control metrics. The software employs four specific metrics to identify issues at two levels: within individual SRM transitions and across the collective group of transitions monitoring a single peptide. This dual-level analysis ensures comprehensive quality control, helping to pinpoint problems that could affect the quantitative accuracy of the experiment.

Q4SRM is prized for its speed and user-friendly design, enabling it to be used in real-time, right at the point of data acquisition. Its ideal implementation is immediately following a liquid chromatography-SRM-MS analysis, allowing researchers to promptly address any quality issues before proceeding. This immediate feedback loop ensures that data integrity is maintained throughout the process, enhancing the reliability of the experimental results.

Topic

Proteomics

Detail

  • Operation: Validation

  • Software interface: Command-line tool,Desktop application

  • Language: C#

  • License: Other

  • Cost: Free with restrictions

  • Version name: -

  • Credit: The NIH National Institute of General Medical Sciences, the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC), the NCI Early Detection Research Network (EDRN), the MoTrPAC consortium, the TEDDY Study Group, funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the National Institute of Allergy and Infectious Diseases (NIAID), the National Institute of Child Health and Human Development (NICHD), the National Institute of Environmental Health Sciences (NIEHS), the Centers for Disease Control and Prevention (CDC), the Juvenile Diabetes Research Foundation (JDRF), the National Center for Advancing Translational Sciences Clinical and Translational Science (NCATS) Awards to the University of Florida and the University of Colorado.

  • Input: Mass spectrometry spectra [Thermo RAW]

  • Output: Report [Textual format]

  • Contact: Thomas O. Metz thomas.metz@pnnl.gov, Samuel H. Payne sam_payne@byu.edu

  • Collection: -

  • Maturity: Stable

Publications

  • Rapidly Assessing the Quality of Targeted Proteomics Experiments through Monitoring Stable-Isotope Labeled Standards.
  • Gibbons BC, et al. Rapidly Assessing the Quality of Targeted Proteomics Experiments through Monitoring Stable-Isotope Labeled Standards. Rapidly Assessing the Quality of Targeted Proteomics Experiments through Monitoring Stable-Isotope Labeled Standards. 2019; 18:694-699. doi: 10.1021/acs.jproteome.8b00688
  • https://doi.org/10.1021/acs.jproteome.8b00688
  • PMID: 30525668
  • PMC: PMC6537873

Download and documentation


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