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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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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

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Quantitative proteomic approaches for biomarker discovery.

Zhiyuan Hu¹, Leroy Hood, Qiang Tian

¹Institute for Systems Biology, Seattle, WA, USA.

Proteomics. Clinical Applications

|December 8, 2010

Summary

Advanced proteomic technologies enable systematic protein analysis in clinical samples for novel disease biomarker discovery. This review covers mass spectrometry (MS) and protein chip methods, focusing on stable isotope labeling and antibody-based approaches.

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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

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Published on: February 27, 2015

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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
Clinical Diagnostics

Background:

Proteomic technologies have advanced significantly, enabling large-scale protein analysis.
Identifying protein biomarkers is crucial for diagnosing and understanding various diseases.

Purpose of the Study:

To review current quantitative proteomic approaches for biomarker discovery.
To highlight novel quantification strategies using mass spectrometry (MS) and protein chips.

Main Methods:

Discussion of mass spectrometry (MS) and protein chip-based quantitative proteomic methods.
Emphasis on stable isotopic labeling coupled with MS/MS for quantification.
Exploration of antibody-based protein chips and nanodevices.

Main Results:

Overview of the strengths and weaknesses of different proteomic technologies.
Identification of promising quantitative strategies for biomarker discovery.
Potential for uncovering novel protein biomarkers in clinical samples.

Conclusions:

Quantitative proteomic technologies offer significant promise for biomarker discovery.
Stable isotopic labeling and advanced protein chip technologies are key areas for future research.
Systematic protein analysis is vital for advancing disease diagnostics.