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A Plasma Sample Preparation for Mass Spectrometry using an Automated Workstation
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A Plasma Sample Preparation for Mass Spectrometry using an Automated Workstation

Published on: April 24, 2020

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Advancements in automation for plasma proteomics sample preparation.

Christina D King1, Kathryn L Kapp1,2, Albert B Arul1

  • 1Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA.

Molecular Omics
|September 1, 2022
PubMed
Summary

Automation is crucial for high-throughput clinical proteomics. Robotic liquid handlers improve processing of blood samples, enabling detection of low-abundance proteins with reduced error.

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Area of Science:

  • Clinical proteomics
  • Biotechnology
  • Analytical chemistry

Background:

  • Large-scale clinical analyses require high sample throughput.
  • Blood samples (plasma, serum) are heterogeneous, with variable protein expression.
  • Minimizing variation in sample prep and analysis is key for detecting biological changes.

Purpose of the Study:

  • To review plasma proteomics protocols.
  • To discuss the benefits of automation in proteomics.
  • To explore automation of sample preparation for mass spectrometry.

Main Methods:

  • Review of current plasma proteomics protocols.
  • Discussion of robotic liquid handler systems.
  • Analysis of automation's impact on sample preparation.

Main Results:

  • Automation increases sample processing throughput.
  • Robotic systems reduce sample preparation error.
  • Automation facilitates detection of low-abundance proteins.

Conclusions:

  • Automated liquid handling is essential for large-scale plasma proteomics.
  • Automation enhances data reliability and analytical sensitivity.
  • Optimized automated protocols are vital for mass spectrometry-based detection.