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Proteomics

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Related Experiment Video

Updated: May 18, 2026

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

Published on: May 8, 2021

The human urinary proteome: combinational approaches to comprehensive mapping.

William Mullen¹

¹Biomarker Research, Lab B 3.33a, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK. william.mullen@glasgow.ac.uk

Expert Review of Proteomics

|September 13, 2012

Summary

This summary is machine-generated.

This study enhances urinary protein analysis by combining separation techniques like SDS-PAGE and liquid chromatography with mass spectrometry. Findings are validated through cross-method and cross-study comparisons for robust proteomics data.

More Related Videos

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

Related Experiment Videos

Last Updated: May 18, 2026

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

Published on: May 8, 2021

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
Analytical Chemistry
Biochemistry

Background:

Assessing protein content in biological samples, particularly urine, is crucial yet methodologically challenging in proteomics.
Previous research has focused on developing and refining techniques for accurate protein quantification and identification.

Discussion:

This study presents three distinct methodologies for urinary protein analysis, integrating classical separation techniques (SDS-PAGE, preparative electrophoresis, liquid chromatography) with mass spectrometry.
A control urine sample was utilized to evaluate the combined methodologies within a standard proteomics workflow.
Data meta-analysis and cross-validation (within-study and cross-study comparisons) were employed to bolster the reliability of the identified proteins.

Key Insights:

Several hundred urinary proteins were identified and characterized.
The integration of diverse separation methods and advanced data analysis enhances the credibility and depth of proteomics findings.
Emphasis on experimental identifiers and peptide-level data ensures transparency and reproducibility.

Outlook:

Further refinement of these combined methodologies could lead to more comprehensive urinary proteome profiling.
This approach has the potential to advance biomarker discovery for various diseases.
Standardization of such integrated workflows is essential for the broader proteomics community.