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Review
. 2021 Jul 2;10(7):1667.
doi: 10.3390/cells10071667.

Affecting HEK293 Cell Growth and Production Performance by Modifying the Expression of Specific Genes

Affiliations
Review

Affecting HEK293 Cell Growth and Production Performance by Modifying the Expression of Specific Genes

Laura Abaandou et al. Cells. .

Abstract

The HEK293 cell line has earned its place as a producer of biotherapeutics. In addition to its ease of growth in serum-free suspension culture and its amenability to transfection, this cell line's most important attribute is its human origin, which makes it suitable to produce biologics intended for human use. At the present time, the growth and production properties of the HEK293 cell line are inferior to those of non-human cell lines, such as the Chinese hamster ovary (CHO) and the murine myeloma NSO cell lines. However, the modification of genes involved in cellular processes, such as cell proliferation, apoptosis, metabolism, glycosylation, secretion, and protein folding, in addition to bioprocess, media, and vector optimization, have greatly improved the performance of this cell line. This review provides a comprehensive summary of important achievements in HEK293 cell line engineering and on the global engineering approaches and functional genomic tools that have been employed to identify relevant genes for targeted engineering.

Keywords: HEK293; cell line engineering; recombinant protein production.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Engineering the HEK293 cell line for improved culture performance. In targeted engineering, genes involved in processes directly affecting protein expression such as apoptosis, cell proliferation, central carbon metabolism, glycosylation, protein folding, and secretion are modified. Global engineering encompasses high throughput screens using RNA interference (miRNA and siRNA), Zinc Finger protein transcription factor libraries, and CRISPR/Cas 9 libraries, and omics analysis such as transcriptomic, proteomic, metabolomic, and fluxomic analyses that are utilized to discover novel engineering targets.

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