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Mammalian cells as biopharmaceutical production hosts in the age of omics

Overview of attention for article published in Biotechnology Journal, December 2011
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Title
Mammalian cells as biopharmaceutical production hosts in the age of omics
Published in
Biotechnology Journal, December 2011
DOI 10.1002/biot.201100369
Pubmed ID
Authors

Stefanie Dietmair, Lars K. Nielsen, Nicholas E. Timmins

Abstract

Mammalian cells are important hosts for the production of a wide range of biopharmaceuticals due to their ability to produce correctly folded and glycosylated proteins. Compared to microbes and yeast, however, the productivity of mammalian cells is low because of their comparatively slow growth rate, tendency to undergo apoptosis, and low production capacities. While much effort has been invested in the engineering of mammalian cells with superior production characteristics, the success of these approaches has been limited to date. One factor responsible for this lack of success is our limited understanding of the cellular basis for high productivity, and of how discrete mechanisms within a cell contribute to the overall phenotype. Aiming to measure and characterize all cellular components at different functional levels, omics technologies have the potential to improve our understanding of mammalian cell physiology, elucidating new targets for the generation of a superior host cell line. This review provides a comprehensive analysis of recent examples of omics studies in the context of mammalian cells as production hosts, highlighting both the challenges and successes in the application of these powerful technologies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
United States 1 <1%
Denmark 1 <1%
Switzerland 1 <1%
Unknown 112 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 20%
Researcher 22 19%
Student > Master 17 15%
Other 8 7%
Student > Bachelor 7 6%
Other 20 17%
Unknown 19 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 35%
Biochemistry, Genetics and Molecular Biology 20 17%
Chemistry 8 7%
Engineering 7 6%
Chemical Engineering 6 5%
Other 15 13%
Unknown 19 16%