Latest App Notes & Case Studies

This application note explores solutions that improve the quality of FFPE DNA libraries, offering consistency and reduced sequencing errors for sensitive research.

This application focus explores these technological advancements and provides case studies to highlight their positive impact on the efficiency of mAb purification processes.

This application note highlights the features of active-release beads compared to the established passive-release beads for the isolation, activation, cell expansion and desired early memory cell phenotype.

Sartorius Picus® 2 electronic pipettes are the ideal tools to accompany you in daily, repetitive liquid handling in laboratories, where the accuracy of your results, speed and ergonomics are important.

SignalChem Biotech, now part of Sino Biological, boasts one of the largest selections of active enzymes. Leveraging this extensive collection, we offer compound selectivity profiling services to determine the inhibitory profiles and mechanisms of action of drug candidates.

Kinases are a family of enzymes crucial in cell signaling, phosphorylating substrates to regulate various biological processes. Deregulation of kinases can lead to diseases like cancer and cardiovascular disease.

SignalChem Biotech’s team of scientists specializes in crafting active signaling proteins, including kinases, phosphatases, and enzyme substrates. SignalChem Biotech Bio products are extensively used in high-throughput screenings, activity assays, binding assays, cell-based assays, protein interaction studies, and structural analyses.

This application note showcases a Droplet Digital PCR (ddPCR) workflow that can detect mutations commonly associated with non-small-cell lung cancer (NSCLC) in a single-well, 6-plex reaction.

This application note describes a novel design strategy aimed at reducing bias and facilitating the discovery of novel fusion genes.

This application note describes the use of targeted custom RNA panels to overcome these challenges by enabling the robust and sensitive detection of gene expression profiles from FFPE non-small cell lung cancer samples.