CRISPRi-microfluidics screening enables genome-scale target identification for high-titer protein production and secretion

Copyright © 2022 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved..

Genome-scale target identification promises to guide microbial cell factory engineering for higher-titer production of biomolecules such as recombinant proteins (r-protein), but challenges remain due to the need not only for comprehensive genotypic perturbation but also in conjunction with high-throughput phenotypic screening strategies. Here, we developed a CRISPRi-microfluidics screening platform to systematically identify crucial gene targets that can be engineered to enhance r-protein secretion in Corynebacterium glutamicum. We created a CRISPR interference (CRISPRi) library containing 46,549 single-guide RNAs, where we aimed to unbiasedly target all genes for repression. Meanwhile, we developed a highly efficient droplet-based microfluidics system integrating the FlAsH-tetracysteine assay that enables screening of millions of strains to identify potential knockdowns conducive to nanobody VHH secretion. Among our highest-ranking candidates are a slew of previously unknown targets involved in transmembrane transport, amino-acid metabolism and redox regulation. Guided by these findings, we eventually constructed a hyperproducer for multiple proteins via combinatorial engineering of redox-response transcription factors. As the near-universal applicability of CRISPRi technology and the FlAsH-based screening platform, this procedure might be expanded to include a varied variety of microbial species and recombinant proteins.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:75

Enthalten in:

Metabolic engineering - 75(2023) vom: 15. Jan., Seite 192-204

Sprache:

Englisch

Beteiligte Personen:

Yu, Xinyu [VerfasserIn]
Li, Shuang [VerfasserIn]
Feng, Huibao [VerfasserIn]
Liao, Xihao [VerfasserIn]
Xing, Xin-Hui [VerfasserIn]
Bai, Zhonghu [VerfasserIn]
Liu, Xiuxia [VerfasserIn]
Zhang, Chong [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Recombinant Proteins
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 17.01.2023

Date Revised 02.02.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.ymben.2022.12.004

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM350838240