Latest App Notes & Case Studies

Single-cell RNA sequencing produces a substantial amount of complex data that can be a burden if you don’t have time to become an expert in bioinformatics.

Before you can embark on one of the many applications involving genomic DNA (gDNA), it is important to assess the quality of your samples, especially if these samples could have been exposed to physical shearing or enzymatic degradation.

RNA-based therapies can modulate cells in a controlled and targeted manner, effectively acting as gene therapies. But, as with any therapeutic, RNA therapeutics must undergo strict quality control (QC) to ensure the product is exactly as specified, with no errors or alternate products.

Traditional methods are often low throughput, time-consuming and lack linearity. However, advanced flow cytometry has emerged as a more efficient alternative for biologics development.

Routine, robust methods for long-read sequencing have the potential to allow researchers to analyze long stretches of DNA without the requirement of preamplification and can also enable analysis of complex regions that are otherwise difficult to map.

As oligonucleotides (oligos) are synthesized, small amounts of impurities can be introduced at each step, and different synthesis methods and purification efficiencies can impact the quality of the sample.

Inherited metabolic disorders (IMDs) are a vast and complex group of rare genetic diseases presenting throughout a patient’s life span.

Quantitative real time PCR, often coupled with reverse transcription (RT-qPCR), is a powerful technique for detecting differences in the copy number of nucleic acids and can be used for analysis of gene expression.

Lipid nanoparticles (LNPs), comprised of ionizable lipids, are used to deliver oligonucleotides to work as therapeutics or to stimulate the immune system, as in the initial mRNA-based COVID vaccines.

CRISPR/Cas9 gene editing can result in off-target cleavage events, impacting the validity of your final results. Cleavage of unintended targets can cause impaired cell function, cell death or misleading conclusions. CIRCLE-seq is a sensitive in vitro assay that was developed to overcome the challenges associated with off-target screening.