Unknown

Dataset Information

0

Combinatorial metabolic engineering using an orthogonal tri-functional CRISPR system.


ABSTRACT: Designing an optimal microbial cell factory often requires overexpression, knock-down, and knock-out of multiple gene targets. Unfortunately, such rewiring of cellular metabolism is often carried out sequentially and with low throughput. Here, we report a combinatorial metabolic engineering strategy based on an orthogonal tri-functional CRISPR system that combines transcriptional activation, transcriptional interference, and gene deletion (CRISPR-AID) in the yeast Saccharomyces cerevisiae. This strategy enables perturbation of the metabolic and regulatory networks in a modular, parallel, and high-throughput manner. We demonstrate the application of CRISPR-AID not only to increase the production of ?-carotene by 3-fold in a single step, but also to achieve 2.5-fold improvement in the display of an endoglucanase on the yeast surface by optimizing multiple metabolic engineering targets in a combinatorial manner.

SUBMITTER: Lian J 

PROVIDER: S-EPMC5700065 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Combinatorial metabolic engineering using an orthogonal tri-functional CRISPR system.

Lian Jiazhang J   HamediRad Mohammad M   Hu Sumeng S   Zhao Huimin H  

Nature communications 20171122 1


Designing an optimal microbial cell factory often requires overexpression, knock-down, and knock-out of multiple gene targets. Unfortunately, such rewiring of cellular metabolism is often carried out sequentially and with low throughput. Here, we report a combinatorial metabolic engineering strategy based on an orthogonal tri-functional CRISPR system that combines transcriptional activation, transcriptional interference, and gene deletion (CRISPR-AID) in the yeast Saccharomyces cerevisiae. This  ...[more]

Similar Datasets

| S-EPMC6619288 | biostudies-literature
| S-EPMC3969860 | biostudies-literature
2023-05-10 | GSE215175 | GEO
| S-EPMC8576571 | biostudies-literature
| S-EPMC5738360 | biostudies-literature
| S-EPMC3467037 | biostudies-literature
| S-EPMC8058723 | biostudies-literature
| S-EPMC5073330 | biostudies-literature
| S-EPMC4877668 | biostudies-literature
2020-10-09 | GSE149692 | GEO