High-throughput proteomics is pushing laboratories to generate deeper, more reliable data from smaller sample amounts without sacrificing speed or consistency. As workflows shorten, questions remain around maintaining quantitative accuracy and cross-lab reproducibility.

This webinar examines how recent advances in liquid chromatography-mass spectrometry (LC-MS) address these challenges, providing insights from a large multi-laboratory benchmark study using standardized proteome samples. Attendees will see how next-generation approaches can support robust, reproducible high-throughput proteomics and how publicly available benchmark datasets help the community evaluate and improve data analysis strategies.

What you'll learn

• Key principles and advantages of label-free quantification
• How high-throughput proteomic workflows are evolving
• Approaches for improving quantitative reproducibility
• Strategies for maximizing proteome coverage at scale