Literature DB >> 34755853

Recombinant protein production in Pichia pastoris: from transcriptionally redesigned strains to bioprocess optimization and metabolic modelling.

Burcu Gündüz Ergün1,2,3, Julio Berrios4, Barış Binay5, Patrick Fickers6.   

Abstract

Pichia pastoris is one of the most widely used host for the production of recombinant proteins. Expression systems that rely mostly on promoters from genes encoding alcohol oxidase 1 or glyceraldehyde-3-phosphate dehydrogenase have been developed together with related bioreactor operation strategies based on carbon sources such as methanol, glycerol, or glucose. Although, these processes are relatively efficient and easy to use, there have been notable improvements over the last twenty years to better control gene expression from these promoters and their engineered variants. Methanol-free and more efficient protein production platforms have been developed by engineering promoters and transcription factors. The production window of P. pastoris has been also extended by using alternative feedstocks including ethanol, lactic acid, mannitol, sorbitol, sucrose, xylose, gluconate, formate or rhamnose. Herein, the specific aspects that are emerging as key parameters for recombinant protein synthesis are discussed. For this purpose, a holistic approach has been considered to scrutinize protein production processes from strain design to bioprocess optimization, particularly focusing on promoter engineering, transcriptional circuitry redesign. This review also considers the optimization of bioprocess based on alternative carbon sources and derived co-feeding strategies. Optimization strategies for recombinant protein synthesis through metabolic modelling are also discussed.
© The Author(s) 2021. Published by Oxford University Press on behalf of FEMS.

Entities:  

Keywords:  zzm321990 Pichia pastoris (Komagataella phaffii); heterologous protein production; metabolic modelling; non-conventional carbon source-based bioprocess design and optimization; promoter engineering; transcriptional circuitry design

Mesh:

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Year:  2021        PMID: 34755853     DOI: 10.1093/femsyr/foab057

Source DB:  PubMed          Journal:  FEMS Yeast Res        ISSN: 1567-1356            Impact factor:   2.796


  2 in total

1.  Improving AOX1 promoter efficiency by overexpression of Mit1 transcription factor.

Authors:  Samin Haghighi Poodeh; Seyed Omid Ranaei Siadat; Sareh Arjmand; Maryam Khalifeh Soltani
Journal:  Mol Biol Rep       Date:  2022-08-24       Impact factor: 2.742

2.  Unraveling the potential of non-conventional yeasts in biotechnology.

Authors:  C Geijer; R Ledesma-Amaro; E Tomás-Pejó
Journal:  FEMS Yeast Res       Date:  2022-01-27       Impact factor: 2.796

  2 in total

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