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Engineered CRISPRa enables programmable eukaryote-like gene activation in bacteria

Author

Listed:
  • Yang Liu

    (University of Edinburgh
    University of Edinburgh)

  • Xinyi Wan

    (University of Edinburgh
    University of Edinburgh)

  • Baojun Wang

    (University of Edinburgh
    University of Edinburgh)

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.

Suggested Citation

  • Yang Liu & Xinyi Wan & Baojun Wang, 2019. "Engineered CRISPRa enables programmable eukaryote-like gene activation in bacteria," Nature Communications, Nature, vol. 10(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11479-0
    DOI: 10.1038/s41467-019-11479-0
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    Cited by:

    1. Yang Liu & Filipe Pinto & Xinyi Wan & Zhugen Yang & Shuguang Peng & Mengxi Li & Jonathan M. Cooper & Zhen Xie & Christopher E. French & Baojun Wang, 2022. "Reprogrammed tracrRNAs enable repurposing of RNAs as crRNAs and sequence-specific RNA biosensors," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Yuanli Gao & Lei Wang & Baojun Wang, 2023. "Customizing cellular signal processing by synthetic multi-level regulatory circuits," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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