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Related Experiment Video

Updated: Oct 10, 2025

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

Bile Processing Protocol for Improved Proteomic Analysis.

Sergio Ciordia¹, Gloria Alvarez-Sola^2,3, María Rullán⁴

¹Functional Proteomics Laboratory, Centro Nacional de Biotecnología- CSIC, Proteored-ISCIII, Madrid, Spain.

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

|December 14, 2021

Summary

This summary is machine-generated.

This study introduces an improved method for bile proteome analysis, enhancing protein identification and reducing sample requirements. This advancement aids in discovering biomarkers for liver and pancreatic diseases.

Keywords:

Human bile Mass spectrometry Protein extraction Proteomics

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Published on: November 15, 2017

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Published on: June 13, 2016

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

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Published on: April 18, 2025

Area of Science:

Biochemistry
Proteomics
Clinical Chemistry

Background:

Proteome-wide analysis relies heavily on effective sample preparation for mass spectrometry.
Biological fluids, like bile, present unique challenges for proteomic analysis due to complex compositions.
Bile analysis is crucial for identifying biomarkers related to liver and pancreatic diseases.

Purpose of the Study:

To develop a novel method for enhanced bile proteome coverage.
To reduce the sample volume required for bile proteomic analysis.
To improve the identification of potential disease biomarkers in bile.

Main Methods:

Development of a new protocol for protein extraction from bile.
Optimization of sample preparation techniques for complex biological fluids.
Application of mass spectrometry for comprehensive proteomic profiling.

Main Results:

Significant increase in bile proteome coverage achieved.
Reduction in required sample volume by a factor of six.
Demonstrated feasibility of analyzing low-volume bile samples for biomarker discovery.

Conclusions:

The novel method substantially improves bile proteome analysis efficiency.
This technique facilitates the discovery of novel biomarkers for severe liver and pancreatic conditions.
Reduced sample input enables more accessible and cost-effective bile proteomic studies.