Engineering Protein Folding and Secretion in Eukaryotic Cell Factories

McLeod, Jane; James, David C.

doi:10.1016/b978-0-08-088504-9.00047-7

Search citation statements

Order By: Relevance

Paper Sections

Select...

Synthetic Gene Network For Drug Discovery (Figure 3)1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2015

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 122 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When expressing proteins in mammalian cells, the rate-limiting step seems to be the folding and secretion of the protein of interest. Mammalian synthetic biology was also employed to increase the rate of protein folding and secretion for the manufacturing of recombinant protein biopharmaceuticals [189,190].…”

Section: Synthetic Gene Network For Drug Discovery (Figure 3)mentioning

confidence: 99%

Mammalian synthetic biology: emerging medical applications

Kis

Pereira

Homma

et al. 2015

J. R. Soc. Interface.

View full text Add to dashboard Cite

In this review, we discuss new emerging medical applications of the rapidly evolving field of mammalian synthetic biology. We start with simple mammalian synthetic biological components and move towards more complex and therapy-oriented gene circuits. A comprehensive list of ON-OFF switches, categorized into transcriptional, post-transcriptional, translational and posttranslational, is presented in the first sections. Subsequently, Boolean logic gates, synthetic mammalian oscillators and toggle switches will be described. Several synthetic gene networks are further reviewed in the medical applications section, including cancer therapy gene circuits, immuno-regulatory networks, among others. The final sections focus on the applicability of synthetic gene networks to drug discovery, drug delivery, receptor-activating gene circuits and mammalian biomanufacturing processes.

show abstract

Section: Synthetic Gene Network For Drug Discovery (Figure 3)mentioning

confidence: 99%