Evosep Webinar
Scaling Proteomics with Evosep Lupo for Reproducible Sample Preparation and Separation
November 24, 2026 I 4:00 PM CET / 10:00 AM EST / 07:00 AM PST
Join this webinar to discover how Evosep’s sample-to-separation proteomics solution is helping drive the next phase of proteomics standardization. Hear from some of the first users of Evosep Lupo and Evokits as they share their experiences, data, and insights from implementing the platform in their laboratories.
Learn how standardized sample preparation, harmonized protocols, and integrated workflows have helped them overcome challenges with workflow variability, enabling more robust, reproducible, and scalable proteomics from sample preparation through LC-MS analysis. They will also highlight the new opportunities these streamlined workflows have unlocked, from high-throughput research to more efficient and reliable proteomics studies.
Automated High-Throughput Plasma Proteomics Across Clinically Distinct Patient Cohorts
Talk by Florian Liam Mau, PhD Fellow, Department of Cellular and Molecular Medicine, Proteome Dynamics, University of Copenhagen
Mass spectrometry-based clinical proteomics holds immense promise for biomarker discovery, yet the need for easy to implement, scalable and reliable automated sample preparation remains mostly unmet across clinics and analytical laboratories. As instrument throughput continues to improve, preanalytical workflows need to keep pace to make full use of the potential of large-scale cohort studies without compromising data quality or reproducibility.
Here we performed initial testing of the Evosep LUPO automated sample preparation platform using previously benchmarked clinical cohorts, before applying it to a large-scale study of 381 individual patients across two clinically distinct cohorts. A total of 831 platelet-rich plasma (PRP) samples were processed along single donor plasma QCs (n=85) and the LUPO internal lysate QC samples (n=88). Fully automated digestion and Evotip loading enabled high-throughput processing, minimizing manual intervention and operator-dependent variability. All samples were acquired on an Evosep Eno at 200 samples per day using narrow-window data-independent acquisition on an Orbitrap Astral Zoom mass spectrometer, which resulted in robust identifications of over 1,000 and up to 1,500 protein groups per sample. The inclusion of plasma QCs alongside platform-internal QC samples enabled confident monitoring of both sample preparation and LC-MS performance across the study.
