Evosep Webinar
Targeted Workflows
Available on Demand
Push the boundaries of targeted proteomic LC-MS workflows designed for unmatched sensitivity, reproducibility, and throughput. See how streamlined methods enable confident protein quantification and accelerate validation across large cohorts with ease.
Meet our speakers
Advancing Protein Biomarker Quantification: Performance Evaluation of the Evosep Eno – Waters Xevo TQ Absolute LC-MS Platform
Talk by Margrét Þorsteinsdóttir and Finnur Freyr Eiriksson, University of Iceland
This webinar presentation highlights a robust, high-throughput LC–MS platform integrating the Evosep Eno with the Waters Xevo TQ Absolute for precise and reproducible quantification of plasma protein biomarkers. The workflow delivers exceptional sensitivity, reproducibility, and throughput, enabling reliable quantitative results for early myocardial infarction risk prediction. Optimization of bottom-up proteomics sample preparation using a Design of Experiments strategy and implementation of an automated process further improved robustness and scalability. Together, these advancements show that the Evosep Eno – Waters Xevo TQ Absolute platform provides a powerful, efficient solution to accelerate the translation of biomarker discovery into clinical research.
Streamlined, cost-effective, and high-throughput strategies for targeted MS-based absolute protein quantitation
Talk by Dr. Vincent Richard and Dr. Timon Geib, Research Associates at Segal Cancer Proteomics Centre at Jewish General Hospital, Lady Davis Institute, McGill University
We will overview the development of novel strategies for performing absolute quantitation including i) NexProQ – a technique that uses TMT-labelling to perform internally calibrated highly multiplexed PRM-PASEF based quantitation of proteins from dried blood spots, ii) the utilization of isotopically labelled tissues/biofluids from mice as cost effective surrogates for SIS peptide generation (termed SysQuan) enabling system level absolute protein quantitation, and iii) streamlined approaches for performing SysQuan-based quantitation using an on-tip digestion approach.
