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Related Experiment Video

Updated: Jul 3, 2026

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
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Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization

Published on: February 27, 2020

Rapid sample processing for LC-MS-based quantitative proteomics using high intensity focused ultrasound.

Daniel López-Ferrer1, Tyler H Heibeck, Konstantinos Petritis

  • 1Biological Science Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.

Journal of Proteome Research
|August 9, 2008
PubMed
Summary
This summary is machine-generated.

A novel high-intensity focused ultrasound workflow rapidly processes samples for quantitative proteomics. This accelerated method simplifies and speeds up protein analysis, offering automation potential.

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Last Updated: Jul 3, 2026

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

Published on: November 15, 2017

Area of Science:

  • Proteomics
  • Biochemistry
  • Analytical Chemistry

Background:

  • Conventional proteomics sample preparation is time-consuming.
  • Optimizing each step is crucial for efficient peptide analysis.
  • Minimizing sample loss and modifications is essential for accurate quantification.

Purpose of the Study:

  • To develop a rapid, streamlined sample processing workflow for quantitative proteomics.
  • To utilize high-intensity focused ultrasound (HIFU) for accelerated protein reduction, alkylation, digestion, and labeling.
  • To evaluate the performance of the novel workflow against traditional methods.

Main Methods:

  • Development of a novel workflow using high-intensity focused ultrasound (HIFU).
  • Optimization of individual steps: reduction, alkylation, in-solution digestion, and (18)O-labeling.
  • Application to mouse plasma proteins for subsequent LC-ESI-HRMS analysis.

Main Results:

  • Successful denaturation, alkylation, digestion, and (18)O-labeling of mouse plasma proteins in under 10 minutes.
  • Comparable peptide and protein identification numbers to conventional methods.
  • Similar quantitative dynamic range achieved compared to established protocols.

Conclusions:

  • The developed HIFU-based workflow significantly accelerates sample processing for quantitative proteomics.
  • The method is robust, yielding comparable results to conventional techniques.
  • The workflow's simplicity and speed make it highly suitable for automation.