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Related Concept Videos

Proteomics01:33

Proteomics

7.5K
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...
7.5K

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Related Experiment Video

Updated: Apr 26, 2026

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

Published on: November 15, 2017

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[Establishment and application of integrated platform for proteome quantification].

Yuan Zhou, Shen Zhang, Huiming Yuan

    Se Pu = Chinese Journal of Chromatography
    |July 30, 2014
    PubMed
    Summary

    An automated platform enhances proteome quantification accuracy and throughput. This system integrates online digestion and separation for efficient protein analysis, achieving reliable results.

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    Last Updated: Apr 26, 2026

    Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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    Quantification of Proteins Using Peptide Immunoaffinity Enrichment Coupled with Mass Spectrometry
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    Quantification of Proteins Using Peptide Immunoaffinity Enrichment Coupled with Mass Spectrometry

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    Area of Science:

    • Biochemistry
    • Analytical Chemistry
    • Proteomics

    Background:

    • Proteome quantification requires accurate, high-throughput, and automated methods.
    • Existing techniques face challenges in efficiency and automation.

    Purpose of the Study:

    • To develop an integrated platform for automated proteome quantification.
    • To improve accuracy, throughput, and automation in proteome analysis.

    Main Methods:

    • Established an integrated platform combining microflow mixed-bed ion exchange, hydrophilic immobilized enzymatic reactor (hIMER), and nanoRPLC-ESI-MS/MS.
    • Utilized dimethyl labeling (H/L) for protein quantification.
    • Applied the platform to compare protein expression in mice hepatocarcinoma cell lines (Hca-F and Hca-P).

    Main Results:

    • Achieved 90% dimethyl labeling efficiency at the protein level.
    • Demonstrated minimal impact of incomplete digestion and non-specific adsorption on quantification accuracy (mean H/L ratio of 1.01).
    • Identified 15 up-regulated and 12 down-regulated proteins between Hca-F and Hca-P cell lines.

    Conclusions:

    • The integrated platform offers high accuracy and throughput for proteome quantification.
    • This automated system is suitable for analyzing differential protein expression in complex biological samples.