Latest App Notes & Case Studies

Monoclonal antibody (mAb)–based therapeutics have been very successful in treating various diseases, including cancer. The manufacturing of these therapeutic antibodies is a complex operation with low levels of aggregates being a critical quality attribute of the final product, as this will impact the biological activity.

In this app note, learn more about the advantages of batch centrifugation and how you can optimize downstream processing of primary T cells, and share some exemplary results for viability and recovery of T cells after washing and concentration.

This application note outlines how microalgal metabolism can be harnessed to produce novel food dyes with an automated screening approach.

Need a routine analytical technique that can provide protein expression profiling and targeted drug imaging? MALDI Imaging is used to determine the spatial distribution of molecules in a tissue section, for more complete multiomic information.

Many targets implicated in diseases are refractory to knockdown by traditional therapeutics like antibodies and small molecules. They represent an exciting new modality, repurposing small molecule chemical tools to achieve selective degradation

Microbial whole-genome sequencing (WGS) can support taxanomic classification, functional characterization and identify anti-microbial resistance in diverse sample types. It can provide greater resolution and more quantitative insights compared to shotgun and 16S methods.

The 16S ribosomal RNA (16S rRNA) gene is present in most bacterial species. As it contains both highly conserved and variable regions, it can be used to identify and classify different taxonomic levels.

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.

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 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.