AUG 29, 2017 9:00 AM PDT

Automated Optimization of IgG Production in CHO Cells

Speakers
  • Staff Applications Scientist, Beckman Coulter Life Sciences
    Biography
      Mike Kowalski is a Staff Applications Scientist in the Sample Preparation and Applied Markets group of Beckman Coulter Life Sciences. He received his Ph.D. in Microbiology and Molecular Genetics from Harvard University. Prior to joining Beckman, Mike was a postdoctoral fellow at the Novartis Institutes for Biomedical Research, where he used automation to screen for novel regulators of stem cell pluripotency and differentiation. Since joining Beckman, Mike has developed automated applications in the areas of cell culture, cellular analysis, and mass spectrometry.
    • Marketing Applications Manager - ForteBio, A Division of Pall Life Sciences
      Biography
        David Apiyo is a Marketing Applications Manager with Pall Fortebio in charge of Manufacturing, Bioprocess and QC applications. He previously worked as an Applications Scientist and a technical Specialist for Fortebio. David received his Ph.D. in Chemistry at Tulane University and held two postdoctoral stints at Rice University and at the Pacific NorthWest National Lab (PNNL). Prior to joining Pall Fortebio, he worked as a Senior Development Scientist at Beckman Coulter where he functioned as a technical lead in various projects within the Discovery and Technology Group.

      Abstract

      DATE: August 29th, 2017

      TIME:  9:00am PT, 12:00pm ET

       

      Antibodies are frequently produced from a cell line that has been screened to ensure the protein is expressed with the desired post-translational modifications, target specificity and affinity, and at relatively high levels. The identified cell line can be further developed to achieve higher titers and to increase cell growth and/or protein production through the optimization of the cell culture media. An ideal approach to media optimization is through the use of a factorial design of experiment (DOE), where a variety of media components are tested at different concentrations and in combination with one another. The challenge though, is that these factorial experiments rapidly increase the number of conditions that require testing. It is desirable therefore to use instrumentation that can minimize the time required for sample preparation and quantification during the optimization process.

      Common ways of quantifying the production of IgG or other proteins are either labor-intensive (e.g. ELISAs) or prohibitively slow (e.g. HPLC), particularly at the throughput required for DOE studies. A rapid alternative for quantification and kinetics analysis of biologics is the high-throughput Octet HTX platform that utilizes Bio-Layer Interferometry to detect real-time binding of molecules.  Here we show how coupling this high-throughput analysis with the Biomek FXP Automated Workstation enabled the DOE optimization of IgG expression in a CHO cell line. The Biomek FXP Workstation was used to prepare 96 media combinations and plate cells in replicate conditions, generate sample and reagent plates for the Octet HTX system, and initiate XTT assays to better understand the effect of media components on CHO cell growth.


      You’ll learn:

      • How a statistical design of experiment approach can be automated to accelerate the optimization of media for protein production.
      • How the Octet HTX can rapidly measure IgG concentrations in a high-throughput manner for screening applications.
      • How integrating a liquid handler with additional instruments can enable the complete automation of complex workflows.

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      AUG 29, 2017 9:00 AM PDT

      Automated Optimization of IgG Production in CHO Cells


      Specialty

      Biotechnology

      Molecular Biology

      Immunology

      Cell Biology

      Antibodies

      Cancer Research

      Cell Culture

      Biochemistry

      Assay Development

      Cancer Therapeutics

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