Literature DB >> 30345502

Whole synthetic pathway engineering of recombinant protein production.

Adam J Brown1, Suzanne J Gibson2, Diane Hatton2, Claire L Arnall1, David C James1.   

Abstract

The output from protein biomanufacturing systems is a function of total host cell biomass synthetic capacity and recombinant protein production per unit cell biomass. In this study, we describe how these two properties can be simultaneously optimized via design of a product-specific combination of synthetic DNA parts to maximize flux through the protein synthetic pathway and the use of a host cell chassis with an increased capability to synthesize both cell and product biomass. Using secreted alkaline phosphatase (SEAP) production in Chinese hamster ovary cells as our example, we demonstrate how an optimal composition of input components can be assembled from a minimal toolbox containing rationally designed promoters, untranslated regions, signal peptides, product coding sequences, cell chassis, and genetic effectors. Product titer was increased 10-fold, compared with a standard reference system by (a) identifying genetic components that acted in concert to maximize the rates of SEAP transcription, translation, and translocation, (b) selection of a cell chassis with increased biomass synthetic capacity, and (c) engineering the host cell factory's capacity for protein folding and secretion. This whole synthetic pathway engineering process to design optimal expression cassette-chassis combinations should be applicable to diverse recombinant protein and host cell-type contexts.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  DNA parts; cell chassis; pathway engineering; protein production; synthetic biology

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Year:  2018        PMID: 30345502     DOI: 10.1002/bit.26855

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  1 in total

1.  Development of an in vitro screening system for synthetic signal peptide in mammalian cell-based protein production.

Authors:  Jong-Ho Park; Hoon-Min Lee; Eun-Ju Jin; Eun-Ji Lee; Yeon-Ju Kang; Sungkyun Kim; Sung-Sick Yoo; Gyun Min Lee; Yeon-Gu Kim
Journal:  Appl Microbiol Biotechnol       Date:  2022-05-18       Impact factor: 4.813

  1 in total

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