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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: Apr 16, 2026

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

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

Published on: October 20, 2016

Serum proteomics in multiple sclerosis disease progression.

Helen Tremlett¹, Darlene L Y Dai², Zsuzsanna Hollander³

¹Faculty of Medicine, Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, BC V5Z 1M9, Canada.

Journal of Proteomics

|March 11, 2015

Summary

This summary is machine-generated.

Researchers identified 11 serum proteins as potential biomarkers for multiple sclerosis (MS) progression. This discovery could lead to a minimally-invasive tool for monitoring MS, aiding clinical practice and understanding disease mechanisms.

Keywords:

Biomarkers Classifier MS progression Multiple sclerosis Serum proteomics iTRAQ mass spectrometry

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Area of Science:

Neuroscience
Proteomics
Biomarker Discovery

Background:

Multiple sclerosis (MS) is a chronic central nervous system disease with unpredictable progression and significant disability.
Current diagnostic and prognostic tools for MS lack specificity, and biomarkers for disease progression are needed.
Existing research often relies on invasive cerebrospinal fluid (CSF) analysis, highlighting the need for serum-based biomarkers.

Purpose of the Study:

To identify potential serum proteomic biomarkers for multiple sclerosis (MS) progression.
To develop a classifier based on identified proteins to distinguish between different MS disease progression groups.
To advance understanding of the molecular mechanisms underlying MS disease processes.

Main Methods:

Utilized isobaric tagging for relative and absolute protein quantification (iTRAQ) methodology.
Employed advanced multivariate statistical analysis to quantify and identify potential serum biomarker proteins.
Compared protein signatures between distinct MS phenotypic groups at disease progression extremes.

Main Results:

Identified a panel of 11 serum proteins with potential as MS progression biomarkers.
Developed a classifier using these 11 proteins, achieving an area under the receiver operating curve of 0.88 (p=0.017).
The classifier demonstrated 86% sensitivity and specificity in distinguishing disease groups, with identified proteins involved in inflammation, opsonization, and complement activation.

Conclusions:

The identified protein panel shows promise for developing a minimally-invasive tool to monitor MS progression.
These findings represent a significant step towards clinically useful biomarker discovery for MS.
Results support the design of a targeted Multiple Reaction Monitoring mass spectrometry (MRM-MS) assay for external validation in larger patient cohorts.