How to Automate Proteomics Sample Prep for Mass Spectrometry Analysis


Expanded NGS Workstation (WHITE)-2

A few years ago, Dr. Joao Paulo of Harvard Medical School began proteomics analysis research requiring hours of manual pipetting each week, and his team was only able to process between 16 and 96 samples at a time. Dr. Paulo needed a solution that would significantly reduce the time his team spent on sample handling while increasing their throughput.


Dr. Paulo developed a workflow that did just that, automating a number of steps in his protocol with great results. We're very excited that he'll be joining us on July 27th to walk us through how he did it. 


This 32-minute webinar will help you:

  • Learn how to automate sample prep for mass spectrometry-based quantitative proteomics analysis
  • Learn how Dr. Paulo was able to consistently increase his throughput from 16 samples to 96 samples
  • Review the workflow developed for this process, and learn which steps are best suited to automation
  • Learn about the critical function of magnetic beads for this application
  • See comparative results of automated vs manual pipetting
  • Join a live Q&A and get answers to your specific questions on automating sample prep for mass-spectrometry-based proteomics analysis




Request Access to "How to Automate Proteomics Sample Prep for Mass Spectrometry Analysis"


Joao-Paulo_200x200v2 (1)Joao Paulo, PhD

Department of Cell Biology, Harvard Medical School





Dr. Paulo’s research is focused on understanding the molecular mechanisms and cell signaling pathways regulating proteomic alterations in various model systems. He is committed to understanding, using, and further innovating new mass spectrometry-based proteomics methods and technology, and has contributed to workflows for high-throughput sample processing, the quality control and quantitative accuracy standards for isobaric tagging, improvements in the identification and quantification using ion mobility (FAIMS) and various phosphopeptide enrichment strategies. His goal is to continue efforts to innovate and apply cutting-edge proteomics technologies, with focus on benchmarking and streamlining TMT-based quantitative proteomics strategies.



Originally aired 5/12/2021