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Updated: May 26, 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

Psychiatric disorder biomarker discovery using quantitative proteomics.

Michaela D Filiou¹, Christoph W Turck

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

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

|January 11, 2012

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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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Researchers identified novel molecular biomarkers for anxiety disorders using advanced proteomics in mouse models. This study offers a new pathway for diagnosing psychiatric conditions and understanding their biological basis.

Area of Science:

Neuroscience
Biochemistry
Genetics

Background:

No molecular biomarkers currently exist for psychiatric disorders, hindering diagnosis and treatment.
Understanding the molecular basis of anxiety pathophysiology is crucial for developing targeted therapies.

Purpose of the Study:

To identify phenotype-specific molecular biomarkers for anxiety-related behaviors.
To investigate the molecular underpinnings of anxiety using a quantitative proteomics approach.
To establish a non-hypothesis-driven workflow for biomarker discovery in psychiatric disorders.

Main Methods:

Utilized a well-established mouse model with high (HAB), normal (NAB), and low (LAB) anxiety-related behaviors.
Employed in vivo (15)N metabolic labeling combined with quantitative proteomics for accurate protein expression analysis.

Related Experiment Videos

Last Updated: May 26, 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

Performed in silico pathway analysis to identify protein networks within anxiety neural circuits.

Main Results:

Identified differentially expressed proteins between high and low anxiety-related behavior mouse models (HAB vs. LAB).
The (15)N metabolic labeling approach ensured accurate quantification by minimizing experimental error.
In silico analysis revealed specific protein networks implicated in anxiety.

Conclusions:

The study presents a precise, non-hypothesis-driven workflow for identifying candidate biomarkers in psychiatric disorders.
This methodology, using quantitative proteomics and metabolic labeling, can be applied to various animal models.
Findings pave the way for developing objective molecular diagnostic tools for anxiety and other psychiatric conditions.