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Proteomics

Proteomics

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 proteomics...

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Updated: May 12, 2026

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

Label-free quantification in clinical proteomics.

Dominik A Megger¹, Thilo Bracht, Helmut E Meyer

¹Medizinisches Proteom-Center, Ruhr-Universität Bochum, Bochum, Germany. dominik.megger@rub.de

Biochimica Et Biophysica Acta

|April 10, 2013

Summary

This summary is machine-generated.

Quantitative proteomics accurately measures protein levels for disease insights. This review focuses on label-free quantification methods in clinical proteomics for biomarker discovery.

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Area of Science:

Proteomics
Clinical Proteomics
Biochemistry

Background:

Modern proteomic studies emphasize accurate protein quantification over mere identification.
Analyzing protein expression profiles is crucial for understanding disease mechanisms, identifying biomarkers, and discovering drug targets in clinical settings.

Purpose of the Study:

To provide an overview of various quantitative proteomics methodologies.
To specifically highlight label-free proteomics techniques and their applications in clinical proteomics.

Main Methods:

Review of established quantitative proteomics approaches.
Focus on label-free quantification strategies.
Discussion of their utility in clinical sample analysis.

Main Results:

Quantitative proteomics offers valuable insights into disease pathology and therapeutic targets.
Label-free methods present a significant approach within the quantitative proteomics toolbox.
These methods are increasingly relevant for clinical applications.

Conclusions:

Accurate protein quantification is a key advancement in proteomics.
Label-free quantitative proteomics holds significant promise for clinical applications and biomarker discovery.