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MAY 17, 2018 7:00 AM PDT

A Chemically-Defined Baculovirus-Based Expression System for Enhanced Protein Production in Sf9 Cells

Presented at: Gibco ExpressionWorld 2018
Speaker
  • Maya Yovcheva
    R&D Scientist, Thermo Fisher Scientific
    Biography
      Maya has been an R&D Scientist with Thermo Fisher Scientific for about three years, focusing primarily on the development of novel tools for protein expression in insect cells. She has a strong background in cell culture, molecular biology, and protein expression. Maya has obtained a BSc in Molecular Biology from Sofia University "St. Kliment Ohridski" (Bulgaria) and an MSc in Medical Biotechnologies from Wageningen University (The Netherlands).
    Abstract

    The Baculovirus Expression Vector System (BEVS) is one of the major platforms for recombinant protein production. Unlike mammalian expression systems that have long since transitioned to serum-free, chemically-defined culture media, relatively little innovation has taken place in insect expression systems, with insect cells continuing to rely on undefined, yeastolate-containing culture media that can exhibit significant lot-to-lot variability in terms of both cell growth and protein expression.  Here, we present the development of a novel Sf9-based Baculovirus expression system based on a high-density, chemically-defined culture medium, a high-expressing Sf9 cell line and expression enhancers that allow for the consistent production of recombinant proteins with two-fold or greater improvements in protein titers compared to traditional BEVS workflows.

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    MAY 17, 2018 7:00 AM PDT

    A Chemically-Defined Baculovirus-Based Expression System for Enhanced Protein Production in Sf9 Cells

    Presented at: Gibco ExpressionWorld 2018

    Specialty

    Biotechnology

    Biochemistry

    Molecular Biology

    Immunology

    Cell Biology

    Cell Culture

    Antibodies

    Cancer Research

    Microbiology

    Gene Expression

    Cancer Therapeutics

    Genetics

    Protein Chemistry

    Infectious Disease

    Bioinformatics

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