Clinical & Translational Applications

Imagine a world in which pharmacogenomics research is faster, more flexible and more powerful – without being restricted by multiple workflows or costly, time-consuming processes.

Data from translational and clinical research not only enhances the understanding of disease pathogenesis, potential treatment mechanisms of action and immune response, but also allows us to drive targeted therapeutic development and precision medicine initiatives from those learnings.

The top cancer immunotherapies have leveraged unique biomarkers – identified by CyTOF™ technology.

Integrating genomic insights into drug development enhances the ability to identify biomarkers, validate drug targets and understand treatment response.

Immune profiling is the practice of identifying and quantifying immune populations according to their phenotypic and functional features. It’s a powerful tool for understanding an individual’s unique immunologic response to disease or therapeutic interventions, and can potentially predict health outcomes.

Spatial transcriptomics is a method enabling high-dimensional investigation of gene transcription in a spatial context. By characterizing expression profiles, spatial transcriptomics is important for analyzing transcriptional patterns and regulation as well as identifying cellular neighborhoods and characteristics contributing to disease.