Ryan Benz, Ph.D., Seer’s Director of Data Science, presents data that demonstrates how the Proteograph™ Product Suite enables rapid, automated, and highly reproducible sample preparation for deep plasma proteomic analysis for large cohort plasma proteomics studies.
Typical deep proteomics workflows are time-consuming, limited in sample throughput, and can require significant expertise, making them less accessible to the general scientific community. Watch how the Proteograph’s multi-nanoparticle based workflow , combined with label-free and TMT multiplexing LC-MS methods, is allowing researchers to conduct deep, reproducible, and high-throughput experiments and generate powerful biological insights.
From a poster and flash talk presentation at ABRF 2022.
=== Key Topics ===
0:00 – Introduction
0:25 – Deep proteomics workflows
0:55 – The Proteograph Product Suite
1:55 – Experiment: a label-free workflow experiment
2:30 – Experiment: combining TMT labeling and multiplexing
3:20 – Conclusion
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