Latest App Notes & Case Studies

Developed for performance in human serum and plasma, the SomaScan Assay v4.1 can measure approximately 7,000 unique human protein analytes in small volumes of biological samples.

Download this app note to learn how you can select 20 individual CTCs in 10 minutes, this approach can be used for DNA, RNA or proteome analysis as well as how these target cells are selected and isolated in high purity from heterogenous backgrounds.

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.

Data-independent acquisition (DIA) has been shown to increase the quantitative reproducibility and accuracy of MS-based phosphoproteomics. This app note explores the impact of dia-PASEF on the speed and sensitivity of phosphoproteomics.

Inherited metabolic disorders (IMDs) are a vast and complex group of rare genetic diseases presenting throughout a patient’s life span.

Extracting biological insights from spatial data is vital to advancing science, however, the analysis of spatial multiomics data is only possible with a robust and scalable informatics solution.

Lipid nanoparticles (LNPs), comprised of ionizable lipids, are used to deliver oligonucleotides to work as therapeutics or to stimulate the immune system, as in the initial mRNA-based COVID vaccines.

Products based on mRNA have broad potential for use as therapeutics, and because mRNA leverages the translational machinery of the host cells, there is a significantly reduced risk of unwanted post-translational modifications.

Energy metabolism plays a central role in a wide variety of cellular and physiological processes. Therefore, a deep understanding of how disruption to energy metabolism impacts cells can help in therapeutic drug discovery and development.