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Related Experiment Video

Updated: Feb 1, 2026

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

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A Complete Proteomic Workflow to Study Brain-Related Disorders via Postmortem Tissue.

Guilherme Reis-de-Oliveira1, Mariana Fioramonte1, Daniel Martins-de-Souza2,3,4

  • 1Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.

Methods in Molecular Biology (Clifton, N.J.)
|December 12, 2018
PubMed
Summary

This study introduces a mass spectrometry proteomics method to identify brain protein changes in mental, neurological, and substance abuse disorders (MNS). Cellular fractionation enhances protein detection, potentially revealing organelle roles in MNS pathophysiology.

Keywords:
BrainMass spectrometry-based proteomicsMental health disordersPostmortem brainProteomicsSample enrichmentSubcellular fractionation

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Area of Science:

  • Neuroscience
  • Biochemistry
  • Proteomics

Background:

  • Mental, neurological, and substance abuse disorders (MNS) represent a significant health burden.
  • Understanding the molecular underpinnings of MNS disorders is crucial for developing effective treatments.
  • Current proteomic approaches may have limitations in comprehensive protein detection in postmortem brain tissue.

Purpose of the Study:

  • To develop and validate a mass spectrometry-based proteomics workflow for discovering differentially regulated proteins in MNS patient brains.
  • To investigate the utility of subcellular fractionation for enhancing proteome coverage in postmortem brain samples.
  • To explore the potential role of specific cellular compartments (nucleus, mitochondria, cytosol) in MNS pathophysiology.

Main Methods:

  • Utilized mass spectrometry-based proteomics for large-scale protein identification and quantification.
  • Implemented subcellular fractionation techniques to enrich for proteins from distinct cellular compartments.
  • Analyzed postmortem brain tissues from patients diagnosed with MNS disorders.

Main Results:

  • Successfully identified a set of proteins differentially regulated in MNS patient brains compared to controls.
  • Demonstrated that subcellular fractionation significantly improved proteome coverage and protein detection sensitivity.
  • Observed distinct protein expression patterns within nuclear, mitochondrial, and cytosolic fractions.

Conclusions:

  • The developed proteomics workflow is effective for discovering disease-associated proteins in MNS disorders.
  • Subcellular fractionation is a valuable strategy to enhance proteomic analysis of postmortem brain tissue.
  • Findings suggest that organelle dysfunction may play a significant role in the pathophysiology of MNS disorders.