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_____ Brought to you by Thermo Fisher Scientific _____

A Standardized Plasma Proteome Profiling Workflow for Large Sample Cohorts



  June 20, 2019

  8:00 a.m. PDT, 11:00 a.m. EDT, 16:00 BST, 17:00 CEST




Translational proteomics workflows place much greater emphasis on biological replicate analysis of large, well-defined cohorts and requires robustness and throughput of the entire workflow to decipher new biomarkers in biofluids such as plasma or serum.

In this webinar, the high throughput generation of plasma profiles will be described, highlighting parts of the workflow that have been optimized for speed and robustness, resulting in a standardized seamless solution that delivers biological insights in a relevant timeline.

With most mass spectrometry-based workflows, sample preparation methods are not fully standardized. Here, we describe a fully automated sample preparation method compatible for use with plasma that saves time, minimizes analytical variability, and improves reproducibility of protein/peptide identifications compared to previous proteomic methods. Processed samples are then subjected to an integrated purification and separation system run with a short LC gradient coupled to high resolution accurate mass (HRAM) MS that enable both high throughput and robustness needed for the biomarker discovery pipeline.

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Key Learning Objectives

  • Development of quantitative, standardized, reproducible, and high throughput proteomic workflows
  • Development of a fully an automated sample preparation method using a robotic system and MS sample preparation kit (96 well format)
  • Development of methods to monitor LC-MS performance and quality of large cohort samples
  • Quantitative proteomics analysis of pancreatic cancer patient serum for discovery of diagnostic biomarkers

Who Should Attend

  • Researchers/ R&D Mangagers
  • Laboratory Managers/ Directors / Supervisors
  • Laboratory Technicians / Operators


Emily Chen, PhD
Sr Director, Precision Medicine Science Center
Thermo Fisher Scientific, Cambridge, MA


Jeff Huber
Contributing Editor
C&EN Media Group