Labroots
Upgrading the CRISPR Toolbox - New Strategies Sharpen the CRISPR-Cas9 Scissors Utilizing Visualization and Chromatic Accessibility
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Industry guidelines for host cell protein impurity analysis emphasize the importance of process-specific and product-specific assessment to account for how the purification procedures and the therapeutic product may uniquely influence the impurities observed. HCP-Mass Spectrometry (HCP-MS) analysis is quickly becoming recognized as a practical, orthogonal approach to ELISA to achieve greater coverage and knowledge of the HCP profile of a biopharmaceutical product. Establishing a streamlined workflow for HCP-MS analysis can be challenging, given that the strategies and rationale for implementing HCP-MS will differ depending on the product, process(es) and other project-specific variables. This webinar will highlight the benefits and the limitations of key analysis criteria for scientists who are developing their HCP-MS detection strategy.
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Characterizing MSI status in challenging samples, including those with ambiguous results or small shifts, can be difficult. Endometrial and other cancers tend to have fewer, smaller marker shifts making MSI analysis cumbersome.
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The past decade has witnessed an emergence of technologies from various disciplines that are providing unprecedented opportunities to formulate and answer new types of biological questions. In particular, single-molecule approaches are revolutionizing biological inquiries by providing previously unattainable data on elementary biological processes. Because biological molecules do not function in isolation in the cell, measurements need to be improved to better emulate in vivo conditions by studying more-complex systems with many components, and they need to be applied to the cellular levels and even tissue levels. This Cell Press webinar will discuss the latest advances in single molecule technologies, and the challenges and opportunities associated with their extension to very large scales and in interpreting the large and complex datasets.
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