Model-driven Media Optimization in Hybridoma Cell Line

Information

  • Research Project
  • 7154904
  • ApplicationId
    7154904
  • Core Project Number
    R43GM078885
  • Full Project Number
    1R43GM078885-01
  • Serial Number
    78885
  • FOA Number
    PA-06-06
  • Sub Project Id
  • Project Start Date
    8/1/2006 - 18 years ago
  • Project End Date
    1/31/2008 - 17 years ago
  • Program Officer Name
    STRASBURGER, JENNIFER
  • Budget Start Date
    8/1/2006 - 18 years ago
  • Budget End Date
    1/31/2008 - 17 years ago
  • Fiscal Year
    2006
  • Support Year
    1
  • Suffix
  • Award Notice Date
    7/28/2006 - 18 years ago
Organizations

Model-driven Media Optimization in Hybridoma Cell Line

[unreadable] DESCRIPTION (provided by applicant): Project Summary/Abstract: Protein-based therapeutics have contributed immensely to health care and constitute a large and growing percentage of the total pharmaceutical drugs. The majority of the biopharmaceutical products are currently manufactured using mammalian cell lines. However, compared to microbial systems, productivity and product titers in mammalian cell cultures are low mainly due to the low biomass concentration achievable in standard mammalian cell culture. In addition, mammalian cell lines produce significant amounts of waste products such as lactate, alanine, and ammonia, which reduce biomass yield and protein production, cause toxic accommodation, and inhibit cell growth. Currently, media and process optimization strategies in mammalian cell culture are performed using a trial and error approach where process outputs are improved laboriously by experimentation. These empirical optimization techniques are widely used because in most cases little is known about the underlying physiological interactions that impact growth and protein production in the host cell lines. A fundamental understanding of cell line physiology and metabolism can greatly improve and accelerate media and process development in mammalian cell line systems. A rational design approach in media optimization and process development requires modeling and simulation technologies capable of capturing and analyzing the underlying physiology of the host cell line. In this SBIR research plan, we intend to demonstrate the value of metabolic modeling in media optimization using a reconstructed model of murine hybridoma cell line. In combination with our modeling technology and using the reconstructed model of hybridoma metabolism, we will design in silico-derived media formulations that reduce byproduct formation in hybridoma cell culture and subsequently evaluate our media designs using experimental measurements. Success of this proposal will demonstrate the scientific and technical feasibility of model-driven improvements in recombinant protein production through the rational selection of nutrient supplementation strategies and ultimately reduce the cost of therapeutic protein development and manufacturing to ensure that the next generation of medicines can be created in amounts large enough to meet patients' needs, and at a price low enough that patients can afford. Project Narrative: Protein-based therapeutics have contributed immensely to health care and constitute a large and growing percentage of the total pharmaceutical drugs. Success of this proposal will demonstrate the scientific and technical feasibility of model-driven improvements in recombinant protein production through the rational selection of nutrient supplementation strategies and ultimately reduce the cost of therapeutic protein development and manufacturing to ensure that the next generation of medicines can be created in amounts large enough to meet patients' needs, and at a price low enough that patients can afford. [unreadable] [unreadable] [unreadable]

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    155393
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:155393\
  • Funding Mechanism
  • Study Section
    MABS
  • Study Section Name
    Modeling and Analysis of Biological Systems Study Section
  • Organization Name
    GENOMATICA, INC.
  • Organization Department
  • Organization DUNS
    071401090
  • Organization City
    SAN DIEGO
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    921214740
  • Organization District
    UNITED STATES