When making a knockout cell line using CRISPR, western blotting is a useful tool to help in the verification of the cell line. However, correct interpretation of results is crucial. Here we summarize the possible fates of a protein after knockout and explore how best to validate a knockout cell line
45 result(s)
A study where we have employed orthogonal target validation strategies with 3 orthogonal LOF technologies (CRISPRko, CRISPRi, and siRNA) with genes involved in maintenance of the mesenchymal-to-epithelial transition (MET).
Learn about considerations around the development of the Dharmacon™ Edit-R™ CRISPRko algorithm for functional and specific guide RNA
Reliable and consistent quality reagents are critical to experimental success and reproducibility. Learn about how Dharmacon RNA and DNA oligonucleotide synthesis delivers that level of quality, and explore troubleshooting tips for investigating unexpected results in your experiments.
In this blog, we will look at what to do once your gene editing experiment is finished and the different ways you will be able to characterize the successfully modified cell lines.
CRISPR gene editing and siRNA gene silencing require the efficient delivery of the necessary reagents. This is easily achieved by optimizing delivery conditions. In this blog post we discuss techniques for optimization of a reverse transfection conditions and how to set up a 96 well plate to test 30 transfection conditions.
Learn how to use Dharmacon™ Edit-R™ CRISPR reagents to make functional knockout models in human iPSCs.
Discover Pin-point™, a first-generation base editing technology that we have licensed from Rutgers, a system we’ve since developed further to accelerate therapeutic development. Read the popular article now and see more of our recent advancements in the base editing space.
New advances in the use of base editing technology for treating sickle cell disease highlight the therapeutic promise of base editing in cell and gene therapy.
Guidelines for making the most out of your CRISPR experiment