Latest App Notes & Case Studies

Temperature, ramp rate and hold time are the critical parameters controlled by a thermal cycler for a successful PCR reaction, so a poor thermal cycler can negatively affect the quality of your research.

In recent years, interest in lipid nanoparticle (LNP) research has increased due to promising opportunities for RNA-based therapy and gene-editing technology, and LNPs are showing promise as nucleic acid delivery vehicles in the pharmaceutical industry.

Silica membrane-based DNA purification kits are a convenient way to prepare high quality, transfection-grade plasmid DNA samples for cloning, sequencing and restriction analysis or for more sensitive applications, such as transfection of standard cell lines.

The applications of CRISPR gene-editing technology are ever-expanding. Much of the versatility of the CRISPR system comes from the CRISPR-associated protein or Cas protein, the molecular scissors that recognize and cut specific pieces of DNA.

Over the past decade there has been a widespread adoption of CRISPR/Cas9-based methods for genome editing in biological systems ranging from cultured cells to entire animals.

During pharmaceutical development and manufacturing, there is always the question: are you following methods for current good laboratory practice or current good manufacturing practice?

Hybridization capture-based target enrichment employs probes to select sequences of interest in a next generation sequencing (NGS) library.

Targeted next-generation sequencing (NGS) is a well-established and powerful tool for somatic oncology research. NGS pipelines for the analysis of somatic variants require efficient methods for enriched library preparation from challenging sample types, relevant, optimized enrichment panels and advanced bioinformatic tools.

Download this app note to learn more about the key considerations for the use of novel molecular diagnostics such as ensuring supply and integrity of raw materials and preparing for commercial success.

Current in vitro models of the small intestine offer limited predictivity due to their reliance on immortalized cell lines and static culture. To better predict human response to drug candidates, researchers need a model than can more closely recreate the intestinal microenvironment.