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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...

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Related Experiment Video

Updated: May 1, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Individualized proteomics.

Stefanie Forler¹, Oliver Klein², Joachim Klose²

¹Institute for Medical Genetics and Human Genetics, Charité - University Medicine Berlin, Germany.

Journal of Proteomics

|April 16, 2014

Summary

This summary is machine-generated.

Human genetic variations, called single nucleotide polymorphisms (SNPs), lead to diverse protein expression and interaction networks. These individual network differences influence disease robustness.

Keywords:

2-D electrophoresis Heart proteome Mass spectrometry Protein polymorphisms Proteome robustness Proteomic network

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Area of Science:

Proteomics
Human Genetics
Systems Biology

Background:

Human genomes contain numerous single nucleotide polymorphisms (SNPs) causing genetic variation.
Maternal and paternal genomes combine in offspring, leading to varied allele combinations and protein expression levels.

Observation:

Proteins form complex interaction networks within the proteome.
These protein-protein interaction networks exhibit varying robustness against genetic and environmental changes due to individual polymorphisms.

Findings:

Individual differences in protein-protein interaction network structure and expression, termed 'network-polymorphisms', are significant.
Network-polymorphisms alter the arrangement of proteins, affecting network function and stability.

Implications:

An individual's robustness against diseases may be determined by their unique protein-interaction network's structure and functional efficiency.
Understanding network-polymorphisms offers insights into personalized medicine and disease susceptibility.