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Related Experiment Video

Updated: Jun 8, 2026

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

Published on: May 8, 2021

Urinary proteome profiling using 2D-DIGE and LC-MS/MS.

¹Molecular Pathogenesis and Genetics Department, Veterinary Laboratories Agency (VLA-Weybridge), Surrey, UK.

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

|September 15, 2010

Summary

This summary is machine-generated.

Proteomic analysis aids cancer research by identifying biomarkers for early diagnosis and treatment monitoring. Two-dimensional difference in-gel electrophoresis (2D-DIGE) is a key method for analyzing cancer proteomes in various samples.

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Last Updated: Jun 8, 2026

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

Published on: May 8, 2021

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

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Published on: April 1, 2017

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:

Oncology
Proteomics
Biomarker Discovery

Background:

Proteomic methodologies are crucial in cancer research for identifying biomarkers.
These biomarkers aid in early diagnosis, monitoring cancer progression, and evaluating therapeutic efficacy.
Onco-proteomics offers potential for personalized cancer care.

Purpose of the Study:

To highlight the role of proteomic strategies in cancer research.
To emphasize the utility of 2D-DIGE in cancer proteome analysis.
To showcase the potential of onco-proteomics in clinical oncology.

Main Methods:

Utilizing proteomic strategies to study all expressed genes.
Employing 2D difference in-gel electrophoresis (2D-DIGE) for simultaneous sample comparison.
Labeling amino acid residues with cyanine dyes for separation by charge and mass.

Main Results:

2D-DIGE enables comprehensive analysis of cancer proteomes.
The method is applicable to diverse biological specimens including tissues, cell lines, and bodily fluids.
Proteomic biomarkers can indicate cancer cell physiological states.

Conclusions:

Proteomics is vital for advancing cancer diagnostics and therapeutics.
2D-DIGE has been a preferred method for cancer proteome analysis due to its advantages.
Onco-proteomics holds promise for individualized cancer treatment strategies.