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Prime editing (PE) is a next-generation gene editing technology that utilizes a Cas9 protein fused to a prime editing guide ribonucleic acid (pegRNA) to achieve high CRISPR/Cas9 editing efficiency and precision. However, the length requirement of pegRNAs at 120–250 nucleotides (nt) and their high level of secondary structure formation present analytical challenges for the purity analysis of chemically synthesized pegRNAs during development and quality control (QC).
Certain next-gen vaccines and gene therapy applications rely on the usage of adeno-associated viruses (AAV) as a delivery vehicle. To ensure the safety and efficacy of viral vector drugs, multiple critical quality attributes (CQAs) need to be well characterized.
Allergy policies for nut-free commercial flights and nut-free childcare settings are not a rare occurrence nowadays—the reason is a rise in food allergies. Nuts are the most potent allergenic foods in terms of the amount that is required to elicit an allergic reaction and the severity of those reactions.
Monitoring product quality attributes (PQAs) throughout monoclonal antibody (mAb) development is vital to ensuring drug safety and efficacy. By adopting orthogonal analytical techniques and integrating new technologies that have the potential to provide more information, it is possible to improve product quality and manufacturing efficiency and make more informed decisions.
Lipid nanoparticles (LNPs) are widely used vehicles for mRNA-based therapeutics and vaccines. However, ionizable lipids used in LNPs can be susceptible to N-oxide impurities that can cause functional loss of the mRNA cargo.
LC-MS/MS is a powerful analytical tool in forensic toxicology testing that can support a variety of testing regimes such as screening, confirmation and quantitative workflows. More specifically, analysis of NPS using LC-MS/MS provides many advantages, including the ability to reliably detect new drugs and their metabolites from a variety of biological matrices.
The development of analytical methods for the detection and quantitation of drugs and metabolites in a range of biological matrices is a challenging process. Forensic toxicology labs need a reproducible and reliable methodology to ensure the robustness of the data and the quality of the results. They also need robust and sensitive instrumentation that can detect drugs at trace levels with high specificity, especially when it comes to novel psychoactive substances (NPS), which can be difficult to monitor and control.
Lipid nanoparticles (LNPs) are widely used vehicles for messenger RNA (mRNA)-based therapeutics and vaccines. However, ionizable lipids used in LNPs can be susceptible to N-oxide impurities that can cause functional loss of the mRNA cargo.
Managing metabolite identification (Met ID) studies is challenging, so what is at the top of your priority list as you plan the year ahead? Ensuring you have the data needed to manage product safety, meeting deadlines, staff recruitment and training, maintaining compliance, capital expenses, or something else?
Unplanned downtime is a formidable adversary that businesses across various industries strive to minimize. Defined as the unexpected interruption of regular operations, unplanned downtime can wreak havoc on productivity, profitability and customer satisfaction. In this article, we delve into the causes of unplanned downtime, its far-reaching consequences and strategies to mitigate its impact.
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