Latest App Notes & Case Studies
App Note / Case Study
Fast Track Antigen-Specific B- and T-Cell Discovery
This application note demonstrates how Single Cell Immune Profiling and Barcode Enabled Antigen Mapping (BEAM) can be used to profile thousands of hPBMCs from a single donor.
App Note / Case Study
CAR T: A Promising Cell Therapy for Cancer Treatment
CAR-T cell therapy has emerged as one of the most promising novel treatments in the fight against cancer.
App Note / Case Study
Transitioning From RUO to cGMP for Clinical Trials
Both RUO and cGMP compliance play important roles in the drug discovery pipeline. However, meeting regulatory demands can be a challenge when accelerating new drugs to the clinic.
App Note / Case Study
Streamline Your Metabolite Identification and Clearance Analyses
Discover an automated solution for the consolidation and ranking of your metabolite structures. Explore a workflow that utilizes both EAD and CID data for the most confident characterization and streamlined data acquisition.
App Note / Case Study
Discover an Automated Workflow for Precise Metabolite Identification
Discover an automated processing workflow that utilizes both EAD and CID data for the most confident characterization of pharmaceutical drug metabolites.
App Note / Case Study
Highly Sensitive Mass Spectrometry Methods for Quantifying PROTACs
Protein-targeting chimeras (PROTACs) have gained significant attention recently due to their high potency in nanomolar drug concentrations and target selectivity. However, low test concentrations in complex matrices present analytical challenges.
App Note / Case Study
Identifying Metabolites With Confidence
Understanding the effects of in vitro drug metabolism is a key aspect of drug discovery and development. However, researchers must be able to make confident decisions quickly and easily.
App Note / Case Study
Using Electron Activated Dissociation (EAD) To Characterize Challenging Metabolites
Glucuronidation is an essential metabolic pathway for drug clearance and its characterization is crucial for optimizing the efficiency and safety of drug candidates.
App Note / Case Study
Reach New Levels of Metabolite Characterization
Early ADME studies are used to determine if a drug candidate is prone to metabolic breakdown or oxidation/conjugation. Glucuronide conjugation is difficult to characterize using MS/MS alone, therefore fragmentation is also required to obtain structural information.
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