Broadcast Date: June 16th, 2016
Time: 11:00 am ET, 8:00 am PT
The rapid and accurate measurement of proteins is a foundational cornerstone for drug discovery within the biopharmaceutical industry. While LC-MS generally provides improved multiplexing and specificity, increased accuracy, and rationalized method development, its benefits may be challenging to realize in the world of protein quantification. Yet, significant advances have been made not only to expand instrument sensitivity, but also to improve methodologies that provide investigators with simplified sample preparation—streamlining quantification workflows.
Choosing the appropriate method to quantify important protein sample streams can be a daunting task even for the most seasoned laboratory professional. This GEN webinar will provide insight on overcoming challenges that are often encountered when implementing LC-MS approaches for protein quantification. Moreover, our presenter will outline the essential assay parameters that need be addressed in order to facilitate and enhance each researcher’s scientific objectives.
Who Should Attend
- Scientists who wish to perform LC-MS quantification of protein drugs in support of pK/PD studies
- Lab managers looking to improve the efficiency of implementation or staff expertise in LC-MS protein quantification workflows
- Researchers performing LC-MS quantification of biomarkers or other endogenous proteins
- Scientists or lab managers needing to standardize their approach to protein quantification
You Will Learn
- Detailed considerations for protein and peptide level purification prior to LC-MS analysis via the surrogate peptide approach.
- How to successfully quantify protein drugs/biomarkers in biological fluids using an optimized kitted approach to digestion and peptide purification.
- How mixed-mode SPE uses orthogonality to provide a specific clean-up of tryptic peptides from protein digests.
- How a single kit-based approach can be applied to quantify antibodies, small and medium proteins, and ADCs from a range of sample conditions.
Produced with support from:
Erin E. Chambers, Ph.D.