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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: Jun 4, 2026

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue

Published on: August 28, 2021

Quantitative proteomics for investigating psychiatric disorders.

Michaela D Filiou¹, Christoph W Turck, Daniel Martins-de-Souza

¹Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany. michaela.filiou@gmail.com

Proteomics. Clinical Applications

|February 1, 2011

Summary

This summary is machine-generated.

Quantitative proteomics offers a promising avenue for understanding psychiatric disorders like anxiety and schizophrenia. This review explores proteomic methods to uncover disease mechanisms and identify potential biomarkers for diagnosis.

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Last Updated: Jun 4, 2026

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue

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Published on: August 28, 2021

A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status

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Published on: October 20, 2016

Area of Science:

Neuroscience
Biochemistry
Genomics

Background:

The pathophysiology of psychiatric disorders remains largely unknown.
Quantitative proteomics can reveal disease-specific protein signatures, aiding understanding and biomarker discovery.

Purpose of the Study:

To review quantitative proteomic approaches for psychiatric disorder research.
To evaluate methodologies for elucidating molecular mechanisms and identifying biomarkers.

Main Methods:

Discussion of gel-based, label-free, and stable isotope-labeling techniques.
Focus on (15)N metabolic labeling for enhanced accuracy in animal models.
Review of biomarker validation and proteomic studies in psychiatric research.

Main Results:

Quantitative proteomics provides insights into the molecular basis of anxiety, schizophrenia, bipolar disorder, and depression.
Various proteomic methods have strengths and limitations for psychiatric research.
(15)N metabolic labeling shows high accuracy and future potential.

Conclusions:

Proteomics is crucial for advancing the understanding of psychiatric disorders.
Biomarker discovery through proteomics can lead to improved diagnostics.
Further research may enable routine clinical application of proteomic methods.