Latest App Notes & Case Studies

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.

Glucuronidation is an essential metabolic pathway for drug clearance and its characterization is crucial for optimizing the efficiency and safety of drug candidates.

Metabolism has emerged as a key driver of T-cell antitumor function. This means that modulating metabolic programs of T cells can be used as a strategy to improve the antitumor efficacy of adoptive T-cell therapies.

The scale of research into potential gene therapies often means that work is distributed across multiple locations. Investigators must have confidence that the results obtained at one site are consistent with results obtained at other sites participating in the study.

This application focus summarizes the key points from a webinar focused on the benefits and applications of automated liquid handling.

RNA-based therapies can modulate cells in a controlled and targeted manner, effectively acting as gene therapies. But, as with any therapeutic, RNA therapeutics must undergo strict quality control (QC) to ensure the product is exactly as specified, with no errors or alternate products.

The multi-attribute method (MAM) is a powerful LC-MS method that overcomes this challenge by simultaneously monitoring and quantifying multiple PQAs in a single injection.

Antibody drug conjugates (ADCs) are biotherapeutics, composed of small molecule drugs conjugated to an antibody scaffold, that have very complex molecular structures.

Traditional methods are often low throughput, time-consuming and lack linearity. However, advanced flow cytometry has emerged as a more efficient alternative for biologics development.

As oligonucleotides (oligos) are synthesized, small amounts of impurities can be introduced at each step, and different synthesis methods and purification efficiencies can impact the quality of the sample.