Interest in metabolic phenotyping has dramatically increased in recent years. Individual metabolic phenotypes, determined by a complex history of gene-environment interactions, may be linked to disease risks.

Affibodies are synthetic antigen-binding proteins. They offer many advantages over monoclonal antibodies, including smaller sizes, enhanced thermal stability and rapid refolding capability. These advantages make affibodies an attractive platform for the development of therapeutics, diagnostics and bioimaging technology.

Download this app note to discover how gene fragments can reduce the time it takes to screen clones and remove a critical bottleneck in the engineering workflow.

Download this app note to discover a workflow that enables rapid and efficient processing of different samples. Deliver identical peptide and protein identification rates from multiple kit formats.

Shotgun proteomics has the capacity to deliver in-depth information on the identification, the relative amount, and the modification patterns of ever larger fraction of the proteins present in a sample. This has made it an essential approach in most biological research areas.

Untargeted proteome-wide quan­tification is the most commonly used strategy in proteomics. Data dependent and now increasingly data-independent acquisition strate­gies are used for routine quantification of samples from cell lines, tissues and for affinity-based interaction proteomics.

Download this app note to discover a system that provides high-speed and reproducible quantification, has broad compound coverage and is purpose built for incorporation into high-throughput screening workflows.

Download this app note to discover an automated immunoprecipitation method that offers seamless integration to protein analysis, ensures high yield and reproducibility as well as delivers low nonspecific binding with significant reductions in total and hands-on time.

Quantitative proteomics workflows using tandem mass tags (TMTs) enable precise measurement of protein abundance from multiple samples from a single high-resolution liquid chromatography–mass spectrometry experiment.

Traditional methods of immune surveillance allow researchers to interrogate one data type at a time, leaving them with an incomplete understanding of the immune response. In order to characterize the immune response, the ability to phenotype individual cells with multiple parameters and at massive scale is necessary.