University of California

Technical University of Denmark

Nathan E Lewis

Hooman Hefzi

Helene Faustrup Kildegaard

Karen Julie La Cour Karottki

Philipp N Spahn

A non-naturally occurring cell comprising an inoperative genomic asparaginase (Aspg) gene and an inoperative glutamine synthetase (Gs) gene, wherein the cell has been transfected with a controllably expressed gene encoding an enzyme having asparaginase activity, a controllably expressed gene encoding an enzyme having glutamine synthetase activity, and a controllably expressed gene encoding a heterologous protein of interest.

Asparaginase based selection system for heterologous protein expression in mammalian cells

The disclosed technology provides a computational prediction modeling comprising a novel algorithm for prediction of glycosylation or to optimize biopharmaceutical production of proteins of therapeutic relevance. The model of the disclosed technology can be used to predict glycosylation changes based solely on the stating glycoprofiles in any host cells and known or suggested rules on enzyme specificity. Applications of the invention model are also provided.

Systems and methods for predicting glycosylation on proteins

Provided are mammalian cells devoid of lactate dehydrogenase activity.

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San Diego, CA, United States of America

Nathan E Lewis