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A programmable high-expression yeast platform responsive to user-defined signals
Rapidly growing yeasts with appropriate posttranslational modifications are favored hosts for protein production in the biopharmaceutical industry. However, limited production capacity and intricate transcription regulation restrict their application and adaptability. Here, we describe a programmabl...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836803/ https://www.ncbi.nlm.nih.gov/pubmed/35148182 http://dx.doi.org/10.1126/sciadv.abl5166 |
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author | Liu, Qi Song, Lili Peng, Qiangqiang Zhu, Qiaoyun Shi, Xiaona Xu, Mingqiang Wang, Qiyao Zhang, Yuanxing Cai, Menghao |
author_facet | Liu, Qi Song, Lili Peng, Qiangqiang Zhu, Qiaoyun Shi, Xiaona Xu, Mingqiang Wang, Qiyao Zhang, Yuanxing Cai, Menghao |
author_sort | Liu, Qi |
collection | PubMed |
description | Rapidly growing yeasts with appropriate posttranslational modifications are favored hosts for protein production in the biopharmaceutical industry. However, limited production capacity and intricate transcription regulation restrict their application and adaptability. Here, we describe a programmable high-expression yeast platform, SynPic-X, which responds to defined signals and is broadly applicable. We demonstrated that a synthetic improved transcriptional signal amplification device (iTSAD) with a bacterial-yeast transactivator and bacterial-yeast promoter markedly increased expression capacity in Pichia pastoris. CRISPR activation and interference devices were designed to strictly regulate iTSAD in response to defined signals. Engineered switches were then constructed to exemplify the response of SynPic-X to exogenous signals. Expression of α-amylase by SynPic-R, a specific SynPic-X, in a bioreactor proved a methanol-free high-production process of recombinant protein. Our SynPic-X platform provides opportunities for protein production in customizable yeast hosts with high expression and regulatory flexibility. |
format | Online Article Text |
id | pubmed-8836803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-88368032022-02-28 A programmable high-expression yeast platform responsive to user-defined signals Liu, Qi Song, Lili Peng, Qiangqiang Zhu, Qiaoyun Shi, Xiaona Xu, Mingqiang Wang, Qiyao Zhang, Yuanxing Cai, Menghao Sci Adv Biomedicine and Life Sciences Rapidly growing yeasts with appropriate posttranslational modifications are favored hosts for protein production in the biopharmaceutical industry. However, limited production capacity and intricate transcription regulation restrict their application and adaptability. Here, we describe a programmable high-expression yeast platform, SynPic-X, which responds to defined signals and is broadly applicable. We demonstrated that a synthetic improved transcriptional signal amplification device (iTSAD) with a bacterial-yeast transactivator and bacterial-yeast promoter markedly increased expression capacity in Pichia pastoris. CRISPR activation and interference devices were designed to strictly regulate iTSAD in response to defined signals. Engineered switches were then constructed to exemplify the response of SynPic-X to exogenous signals. Expression of α-amylase by SynPic-R, a specific SynPic-X, in a bioreactor proved a methanol-free high-production process of recombinant protein. Our SynPic-X platform provides opportunities for protein production in customizable yeast hosts with high expression and regulatory flexibility. American Association for the Advancement of Science 2022-02-11 /pmc/articles/PMC8836803/ /pubmed/35148182 http://dx.doi.org/10.1126/sciadv.abl5166 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Liu, Qi Song, Lili Peng, Qiangqiang Zhu, Qiaoyun Shi, Xiaona Xu, Mingqiang Wang, Qiyao Zhang, Yuanxing Cai, Menghao A programmable high-expression yeast platform responsive to user-defined signals |
title | A programmable high-expression yeast platform responsive to user-defined signals |
title_full | A programmable high-expression yeast platform responsive to user-defined signals |
title_fullStr | A programmable high-expression yeast platform responsive to user-defined signals |
title_full_unstemmed | A programmable high-expression yeast platform responsive to user-defined signals |
title_short | A programmable high-expression yeast platform responsive to user-defined signals |
title_sort | programmable high-expression yeast platform responsive to user-defined signals |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836803/ https://www.ncbi.nlm.nih.gov/pubmed/35148182 http://dx.doi.org/10.1126/sciadv.abl5166 |
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