Advancing label-free quantification in high-throughput proteomics

High-throughput proteomics is challenging laboratories to obtain deeper, more reliable data from fewer sample volumes while maintaining speed and consistency. As procedures become shorter, questions about quantitative correctness and cross-lab reproducibility persist.

This webinar analyzes how recent developments in liquid chromatography-mass spectrometry (LC-MS) resolve these problems, drawing on findings from a large multi-laboratory benchmark research using standardized proteome samples.

Viewers will learn how next-generation techniques can support robust, reproducible high-throughput proteomics, as well as how publicly available benchmark datasets assist the community in evaluating and improving data analysis strategies.

What will you learn?

• Key principles and benefits of label-free quantification
• How high-throughput proteomic workflows are changing
• Strategies for enhancing quantitative reproducibility
• Strategies for increasing proteome coverage at scale