Shen et al (Nature Methods, 2017) explore and identify synthetic interactions among 73 cancer-associated genes. To perform their loss of function screen they combined CAS9-expressing cell lines with a sgRNA library of high titer lentiviral particles. Most of these gene interactions were subsequently validated by drug treatment.

If you are looking for enzymatic in vitro tools for drug metabolism, reaction phenotyping, metabolite generation, using pig as model, you may find these newly released Pig Bactosomes from Cypex of interest.

Bactosomes are recombinant enzymes expressed in E. coli with a patented expression system that enables expression of drug metabolising enzymes without the need for large modifications to be made to the proteins. They demonstrate excellent batch-to-batch consistency and robust activity levels. Each batch is characterized for linearity with time and CYP concentration, Km and Vmax.

One of our aims is to offer you, the researcher, a large and varied selection of biologically relevant, innovative Live Cell Imaging tools. In 2016, we started a collaboration with Goryo Chemical, when our specialists selected their unique fluorescent dyes for cellular analysis, assays and live cell imaging.

In one of my previous posts, I already invited you to take a (non-exhaustive) look at their diversified range of fluorescent dyes, which can be used in a variety of fields such as stem cell differentiation, cancer cell studies, Reactive Oxygen Species (ROS) analysis… Today, I’d like to take you through two new fluorescent probes we’re pleased to make available for you.

Metabolite characterization can be a lengthy process making your in vitro drug testing time consuming and expensive. Whether you are working on phase I or phase II metabolic enzymatic reactions, take a look at these BMO kits which can help you speed up this characterisation process.

The Phase I BMO metabolism kits take you through 3 simple steps:

1. Perform the primary screen and select the desired metabolite wells (XTHCK1001-01)
2. Perform the optimization and identify the best production conditions
3. Scale-up and isolate the metabolite