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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 6, 2026

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer

Published on: August 2, 2018

Proteomics in clinical prostate research.

Magnus Hellström¹, Sara Jonmarker, Janne Lehtiö

¹Department of Urology, Karolinska University Hospital, Stockholm, Sweden.

Proteomics. Clinical Applications

|December 8, 2010

Summary

This summary is machine-generated.

Discovering new prostate cancer (PCa) biomarkers is crucial due to rising early-stage diagnoses. Proteomic analysis of prostate tissue offers a path toward identifying markers for tumor aggressiveness, improving patient treatment strategies.

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Last Updated: Jun 6, 2026

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer

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Published on: August 2, 2018

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Area of Science:

Proteomics
Biomarker Discovery
Cancer Research

Background:

Increasing incidence of early-stage prostate cancer (PCa).
Lack of reliable biomarkers to assess PCa aggressiveness.
Over-treatment of patients due to inadequate prognostic tools.

Purpose of the Study:

To review studies on protein expression in benign prostatic tissue and PCa.
To explore the potential of the human proteome for identifying clinically useful biomarkers.
To advance the understanding of PCa biology through proteomic mapping.

Main Methods:

Review of proteomic techniques including 2-DE, LC-MS, SELDI-MS, and protein arrays.
Analysis of protein expression in clinical samples of prostate tissue.
Comparison of gel-based and non-gel-based proteomic approaches.

Main Results:

2-DE is effective for protein identification but has limitations with low-abundance proteins and labor intensity.
Non-gel-based techniques offer advantages in sample size and automation.
Existing studies provide a foundation for prognostic biomarker discovery in PCa.

Conclusions:

Proteomic exploration is a promising avenue for identifying PCa biomarkers.
Further mapping of the prostate proteome is needed to enhance understanding of PCa biology.
Development of accurate biomarkers can lead to more personalized and effective PCa treatment.