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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Absolute multiplexed protein quantification using QconCAT technology.

Philip J Brownridge¹, Victoria M Harman, Deborah M Simpson

¹Protein Function Group, Institute of Integrative Biology, University of Liverpool, Liverpool, UK.

Methods in Molecular Biology (Clifton, N.J.)

|June 6, 2012

Summary

This summary is machine-generated.

Quantitative proteomics enables absolute protein quantification using QconCATs. These artificial proteins serve as internal standards for precise, multiplexed measurements in targeted workflows, crucial for systems biology.

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Area of Science:

Proteomics
Systems Biology
Biochemistry

Background:

Protein quantification is essential in proteomics, with a growing need for absolute values beyond relative quantification.
Systems biology models require precise absolute protein abundance data.
Existing relative quantification methods are insufficient for many applications demanding absolute values.

Purpose of the Study:

To detail the design, construction, expression, and deployment of QconCATs.
To explain the experimental procedures for multiplex absolute quantification using QconCATs.
To highlight the utility of QconCATs in targeted proteomic workflows.

Main Methods:

Design and synthesis of QconCATs by concatenating target peptide sequences.
Expression of QconCATs as artificial proteins.
Application of QconCATs as internal standards in targeted proteomic assays.
Development of experimental workflows for multiplex absolute quantification.

Main Results:

QconCATs provide a reliable source of internal standards.
Parallel absolute quantification of multiple proteins is achievable.
Targeted proteomic workflows benefit from enhanced sensitivity and dynamic range when using QconCATs.

Conclusions:

QconCATs are a powerful tool for absolute protein quantification.
Their application enables precise measurements critical for systems biology.
This approach facilitates multiplexed absolute quantification in targeted proteomics.