Latest Whitepapers

Cell culture is essential for a variety of applications including disease modeling, drug discovery, cell-based manufacturing and genetic engineering.

Although there are initiatives to de-risk the drug development process, continually applying the same tools and approaches is unlikely to lead to innovative, first- or best-in-class targets and transformative progress.

This whitepaper highlights the recent developments and performance of three modular benchtop solutions for the high-performance quantitation and kinetics characterization of proteins and their small molecule interactions.

This whitepaper highlights the features and capabilities of a novel system for streamlining affinity analysis for rapid lead molecule screening.

Rather than choosing between the detail of single-cell RNA sequencing and the in situ capabilities of conventional immunohistochemistry, spatial phenotyping allow you to visualize and quantify dozens of biomarkers in a single tissue sample while maintaining cellular and sub-cellular detail.

Only a small amount of cell-free DNA (cfDNA) can be found in circulation, therefore efficient and highly sensitive technologies such as next-generation sequencing (NGS) are typically being used to detect this biomarker.

Studying the tumor microenvironment (TME) helps improve our understanding of cancer. Myeloid-derived suppressor cells (MDSCs) exist within the TME and maintain cancer progression.

Determining cell viability is a vital component in many biological experiments and one of the most common methods for this measurement is the trypan blue (TB) exclusion assay.

Chimeric antigen receptor (CAR) T-cell therapy is a revolutionary and promising approach for cancer treatment. However, its potential is limited by technical challenges and safety risks associated with viral transduction–based CAR T-cell generation workflows.

While next-generation sequencing is becoming increasingly routine in cancer research laboratories, it fails to address a number of key genomic drivers or markers of cancer, such as structural variations, DNA methylation and transcript isoforms.