High-throughput LC-MS workflows are essential in translational and clinical research proteomics. While LC-MS methods have been sufficiently standardized today, sample preparation is still somewhat manual involving multiple steps to extract, purify, and digest proteins with clean-up before LC-MS analysis.
This bottleneck can be resolved with automation in combination with verified kits that eliminate the risk of error and variability, while enabling longitudinal standardization irrespective of the number of samples.
In this webinar, Dr. Emily Chen, Senior Director of Thermo Fisher Scientific’s Precision Medicine Science Center will describe (1) a consistent, reproducible, and high throughput sample preparation methodology for omics analysis of clinical samples and (2) the robustness and speed of clinical sample processing on an automated platform with proven chemistry.
Combined, these advances in sample processing, and LC-MS workflows make it possible to routinely analyze and quantify hundreds of samples, transforming translational clinical research and the understanding of human diseases to a new level.