Projects per year
Abstract
Transcriptional regulation by nuclease-deficient CRISPR/Cas is a popular and valuable tool for routine control of gene expression. CRISPR interference in bacteria can be reliably achieved with high efficiencies. Yet, options for CRISPR activation (CRISPRa) remained limited in flexibility and activity because they relied on σ70 promoters. Here we report a eukaryote-like bacterial CRISPRa system based on σ54-dependent promoters, which supports long distance, and hence multi-input regulation with high dynamic ranges. Our CRISPRa device can activate σ54-dependent promoters with biotechnology relevance in non-model bacteria. It also supports orthogonal gene regulation on multiple levels. Combining our CRISPRa with dxCas9 further expands flexibility in DNA targeting, and boosts dynamic ranges into regimes that enable construction of cascaded CRISPRa circuits. Application-wise, we construct a reusable scanning platform for readily optimizing metabolic pathways without library reconstructions. This eukaryote-like CRISPRa system is therefore a powerful and versatile synthetic biology tool for diverse research and industrial applications.
Original language | English |
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Article number | 3693 |
Number of pages | 16 |
Journal | Nature Communications |
Volume | 10 |
DOIs | |
Publication status | Published - 26 Aug 2019 |
Keywords / Materials (for Non-textual outputs)
- CRISPR
- gene activation
- synthetic biology
- bacteria
- biotechnology
- metaboliic engineering
Fingerprint
Dive into the research topics of 'Engineered CRISPRa enables programmable eukaryote-like gene activation in bacteria'. Together they form a unique fingerprint.Projects
- 4 Finished
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engineering split inteins as scalable tools for synthetic biology
Wang, B. (Principal Investigator)
1/05/19 → 30/04/23
Project: Research
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Low cost paper-based biosensors for point-of-care nucleic acid diagnostics of pathogens
Wang, B. (Principal Investigator)
31/10/16 → 30/04/18
Project: Research
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Programmable single-cell biocomputers with scalable signal processing capacity
Wang, B. (Principal Investigator)
8/08/16 → 31/12/19
Project: Research
Datasets
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Baojun Wang Lab Plasmids
Wang, B. (Creator), addgene, 26 Aug 2019
https://www.addgene.org/Baojun_Wang/
Dataset