A Practical Guide for 3D Cell Culture Systems and Optimizing Spheroid Imaging Assays
Wednesday, October 6, 2021, 12 PM EDT
Presenter: Joe Clayton, Ph.D., Agilent Technologies, Inc.
Three-dimensional (3D) cell culture systems have become a well-established in vitro experimental approach to model human disease for a broad range of research applications. By enabling more physiological relevant cell-to-cell and cell-to-matrix interactions, 3D cell cultures present an attractive alternative to conventional 2D model systems. However, the increased complexity of 3D cultures, and growing number of available formats, requires thoughtful consideration to achieve consistent and accurate assay results.
In the first of this two-part educational webinar series on 3D cell culture, we’ll present:
- an overview of available 3D culture formats and reagents
- essential considerations for setting up and optimizing 3D models
- tips for effectively conducting imaging-based 3D cell culture assays
Part two of this series will build on the concepts covered here by exploring the experimental approach and quantitative analysis methods used in a range of 3D cell culture applications.
Agilent Webinar Series
Take Your Biopharma Workflow Further
Part 1: QUBES - A Rapid Approach for Predicting the Stability of Proteins
Monday, September 13, 2021, 03:30 PM EDT
Speaker: Christopher R Pudney, Assoc. Professor of Biophysics, University of Bath, Director, BLOC Laboratories Ltd
Among the major challenges in the development of biopharmaceuticals are structural heterogeneity and aggregation. The development of a successful therapeutic monoclonal antibody (mAb) requires both a highly active and also stable molecule. Whilst a range of experimental (biophysical) approaches exist to track changes in stability of proteins, routine prediction of stability remains challenging. The fluorescence red edge excitation shift (REES) phenomenon is sensitive to a range of changes in protein structure. Based on recent work, we have found that quantifying the REES effect is extremely sensitive to changes in protein conformational state and dynamics. Given the extreme sensitivity, potentially this tool could provide a ‘fingerprint’ of the structure and stability of a protein. Such a tool would be useful in the discovery and development of biopharmaceuticals and so we have explored our hypothesis with a panel of therapeutic mAbs. We demonstrate that the quantified REES data, which we call QUBES, show remarkable sensitivity, being able to discern between structurally identical antibodies and showing sensitivity to unfolding and aggregation. The approach works across a broad concentration range (μg –mg/ml) and is highly consistent. We show that the approach can be applied alongside traditional characterization testing within the context of a forced degradation study (FDS). Most importantly, we demonstrate the approach is able to predict the stability of mAbs both in the short (hours), medium (days) and long-term (months). The QUBES data will find immediate use in the biopharmaceutical industry in quality assurance, formulation and development. The approach benefits from low technical complexity, is rapid and uses instrumentation which exists in most biochemistry laboratories without modification. Moreover, we illustrate the approach can be optimally used on a commercially available plate reader.
Part 2: Pharmaceutical identification by Infrared Spectroscopy
Monday, September 20, 2021, 03:30 PM EDT
Speaker: Luciana Terra, Application Scientist, Molecular Spectroscopy, Agilent Technologies, Inc.
A quick way to differentiating authentic samples from samples without API using a compact FTIR.
Part 3: Biopharmaceutical Raw Material Verification with Handheld Vaya Raman Spectrometer
Monday, September 27, 2021, 03:30 PM EDT
Speaker: Yanqia Wang, PhD, Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.
Today’s Biopharmaceutical industry puts higher requirement on the verification of the raw material to ensure product quality. The Agilent Vaya handheld Raman spectrometer increases raw material identification throughput without increasing costs by reducing the need for sampling. From clear glass vials to brown paper sacks, Vaya offers best-in-class identification testing through transparent containers, and transformative handheld Raman identification through nontransparent containers—for the fastest possible release to manufacturing.
For more information and to register, click here.
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