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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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Related Experiment Video

Updated: Jul 15, 2026

Sample Preparation for Endopeptidomic Analysis in Human Cerebrospinal Fluid

Sample Preparation for Endopeptidomic Analysis in Human Cerebrospinal Fluid

Published on: December 4, 2017

Proteomics analysis of human amniotic fluid.

Chan-Kyung J Cho¹, Shannon J Shan, Elizabeth J Winsor

¹Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario M5G 1L5, Canada.

Molecular & Cellular Proteomics : MCP

|May 15, 2007

Summary

Researchers profiled the human amniotic fluid (AF) proteome in normal pregnancies. This comprehensive analysis identified 842 proteins, including known biomarkers, aiding in understanding AF function and discovering new prenatal diagnostic tools.

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Last Updated: Jul 15, 2026

Sample Preparation for Endopeptidomic Analysis in Human Cerebrospinal Fluid

Sample Preparation for Endopeptidomic Analysis in Human Cerebrospinal Fluid

Published on: December 4, 2017

Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis

Published on: May 8, 2021

Area of Science:

Proteomics
Biochemistry
Maternal-Fetal Medicine

Background:

Amniotic fluid (AF) composition reflects fetal physiological status.
Understanding AF proteome is crucial for prenatal diagnostics.
Previous studies had limited AF proteome coverage.

Purpose of the Study:

To profile and analyze the human amniotic fluid (AF) proteome in mid-pregnancy (16-18 weeks).
To identify proteins within AF for a better understanding of its functions.
To discover novel biomarkers for prenatal diagnosis of fetal abnormalities.

Main Methods:

Utilized three distinct fractionation strategies for enhanced AF proteome coverage.
Employed two-dimensional LC/MS/MS and LC-SDS-PAGE-LC-MS/MS platforms.
Analyzed 16 AF samples from normal pregnancies (16-18 weeks gestation) using mass spectrometry.

Main Results:

Identified a comprehensive AF proteome of 842 non-redundant proteins (1,026 unique gene matches).
The identified proteome includes established biomarkers for pregnancy complications.
Bioinformatic analysis revealed subcellular localization, tissue expression, and functional networks of AF proteins.

Conclusions:

The study provides a detailed map of the mid-pregnancy AF proteome.
This proteomic dataset enhances understanding of AF functions.
The findings support the discovery of novel biomarkers for prenatal diagnosis of fetal conditions.