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Related Experiment Videos

Multiplexed proteomic reactor for the processing of proteomic samples.

Weimin Hou1, Martin Ethier, Jeffrey C Smith

  • 1The Ottawa Institute of Systems Biology, University of Ottawa, 451 Smyth Road, Ottawa, Ontario, K1H 8M5 Canada.

Analytical Chemistry
|December 30, 2006
PubMed
Summary

We developed a 96-well plate proteomic reactor for efficient, gel-free processing of small protein samples. This new device enables large-scale protein identification from complex biological samples, significantly advancing proteomic analysis.

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Area of Science:

  • Proteomics
  • Biochemical Engineering
  • Analytical Chemistry

Background:

  • Minute amounts of complex proteomic samples pose challenges for traditional analysis.
  • Gel-free processing methods are needed for efficient protein analysis.

Purpose of the Study:

  • To develop a novel 96-well plate proteomic reactor for gel-free processing.
  • To enable multiplexed trapping, enrichment, and biochemical processing of proteins.
  • To couple the reactor with size-exclusion chromatography for large-scale protein identification.

Main Methods:

  • Development of a 96-well plate proteomic reactor for gel-free sample processing.
  • Multiplexed trapping, enrichment, and biochemical processing of proteins.
  • Coupling the reactor with size-exclusion chromatography for protein fractionation.

Related Experiment Videos

  • Analysis of MCF7 cell lysate fractions using the reactor and mass spectrometry.
  • Main Results:

    • The reactor can process up to 2 microg of protein per well.
    • Coupling with size-exclusion chromatography enabled large-scale protein identification.
    • Identification of 875 unique proteins under stringent criteria.
    • Identification of 2683 unique proteins at a 1% false positive rate, with 3-10 ng protein lysate per identified protein.

    Conclusions:

    • The 96-well plate proteomic reactor facilitates efficient, gel-free processing of small proteomic samples.
    • This approach enables high-throughput and large-scale protein identification.
    • The developed method significantly enhances proteomic analysis sensitivity and scale.