Simultaneous Proteomics and Transcriptomics TotalSeq™ and The Future of Single Cell Analysis

The last few years have seen the scale of single cell RNA-seq experiments increase exponentially, greatly enhancing our understanding of cell biology in development and disease. It is now feasible for researchers to characterize thousands of single cells in one experiment. However, important hallmarks of immune cell states are often not detected in scRNA-seq experiments. While lower throughput methods previously allowed researchers to link phenotypes or protein expression to transcriptomic profiles, the increase in scale of modern droplet-based methods resulted in a loss of such addressability.
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OTHER ON-DEMAND WEBINARS

Pharmaron’s cell and gene therapy webinar series

Pharmaron has taken their platform beyond small molecules and are pleased to now offer a full array of services for biologics and cell and gene therapies (CGTs). Our new CGT webinar series focusses on identifying key cell and gene therapy questions that arise during drug discovery and development.
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Factors to Consider During Adaptation of a Manual Cell Line Development Workflow to Automation

Labroots

Mammalian cell line generation is a rate-limiting step in early CMC development and there is a constant desire to increase throughput. The implementation of automation is one way to increase throughput. This webinar will address some factors to consider during the process of automating a manual workflow including details of culture vessel changes, liquid handling adaptation, and changes of the cell line developer’s job during the process. With an end result of increased throughput, automation potentially allows cell line development to begin prior to final molecule selection. This can remove cell line development off the critical path of CMC development.
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3D Modeling of Skeletal Muscle for In Vitro Functional Assaying

Stemcell

In this webinar, Dr. Penney Gilbert from the University of Toronto explains how her group has uncovered regulators of muscle hypertrophy by inducing exercise-like rounds of contractions in their 3D skeletal muscle models.
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High Throughput, Low Volume Subvisible Particle Analysis

Halo Labs

Subvisible particle analysis is a key predictor of protein drug stability and a key formulation, quality metric. However, current methods use large volumes of precious protein solutions and are labor- and time-intensive, making this data inaccessible during late-stage candidate screening or early in formulation. Moreover, regulatory agencies are tightly enforcing subvisible particle content in biopharma formulations at unprecedented levels, making early detection of subvisible particles, like protein aggregates, a key analytical priority.
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