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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Related Experiment Video

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Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis
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Targeted Proteomics as a Tool for Quantifying Urine-Based Biomarkers.

Sonali V Mohan1,2, D S Nayakanti1,2, Gajanan Sathe1,2

  • 1Institute of Bioinformatics, Bangalore, India.

Methods in Molecular Biology (Clifton, N.J.)
|September 26, 2019
PubMed
Summary

This study details using targeted proteomics, specifically parallel reaction monitoring (PRM), to quantify candidate protein biomarkers in urine samples. The methods described enable validation of potential biomarkers in large cohorts using Skyline software.

Keywords:
PRMParallel reaction monitoringSkylineTargeted proteomicsUrine

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Last Updated: Jan 19, 2026

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Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Biotechnology

Background:

  • Mass spectrometry-based proteomics is crucial for biomarker discovery, often involving small discovery cohorts followed by large-scale validation.
  • Targeted proteomics offers precise quantification of multiple proteins in complex biological samples.
  • Parallel reaction monitoring (PRM) and selected reaction monitoring (SRM) are key techniques for validating proteins across numerous samples.

Purpose of the Study:

  • To provide a comprehensive guide for utilizing targeted proteomics for biomarker quantification.
  • To describe the workflow for analyzing parallel reaction monitoring (PRM) data using Skyline software.
  • To facilitate the validation of candidate protein biomarkers in urine.

Main Methods:

  • Selection of proteotypic peptides for targeted analysis.
  • Optimization of sample preparation for urine matrices.
  • Generation of response curves for accurate quantification.
  • Data acquisition and analysis using Skyline software for PRM experiments.

Main Results:

  • Demonstration of a robust workflow for targeted proteomics analysis of urine samples.
  • Successful quantification of candidate protein biomarkers using PRM.
  • Validation of the utility of Skyline software for high-throughput targeted proteomics.

Conclusions:

  • Targeted proteomics, particularly PRM with Skyline, is an effective method for validating candidate biomarkers in large sample sets.
  • The described methodology enables reliable quantification of proteins in urine for biomarker studies.
  • This approach supports the transition of candidate biomarkers from discovery to clinical application.