dCas9 regulator to neutralize competition in CRISPRi circuits.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
16 03 2021
Historique:
received: 03 11 2020
accepted: 29 01 2021
entrez: 17 3 2021
pubmed: 18 3 2021
medline: 24 3 2021
Statut: epublish

Résumé

CRISPRi-mediated gene regulation allows simultaneous control of many genes. However, highly specific sgRNA-promoter binding is, alone, insufficient to achieve independent transcriptional regulation of multiple targets. Indeed, due to competition for dCas9, the repression ability of one sgRNA changes significantly when another sgRNA becomes expressed. To solve this problem and decouple sgRNA-mediated regulatory paths, we create a dCas9 concentration regulator that implements negative feedback on dCas9 level. This allows any sgRNA to maintain an approximately constant dose-response curve, independent of other sgRNAs. We demonstrate the regulator performance on both single-stage and layered CRISPRi-based genetic circuits, zeroing competition effects of up to 15-fold changes in circuit I/O response encountered without the dCas9 regulator. The dCas9 regulator decouples sgRNA-mediated regulatory paths, enabling concurrent and independent regulation of multiple genes. This allows predictable composition of CRISPRi-based genetic modules, which is essential in the design of larger scale synthetic genetic circuits.

Identifiants

pubmed: 33727557
doi: 10.1038/s41467-021-21772-6
pii: 10.1038/s41467-021-21772-6
pmc: PMC7966764
doi:

Substances chimiques

RNA, Guide 0
CRISPR-Associated Protein 9 EC 3.1.-

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1692

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Auteurs

Hsin-Ho Huang (HH)

Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Massimo Bellato (M)

Laboratory of Bioinformatics, Mathematical Modelling and Synthetic Biology, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.

Yili Qian (Y)

Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Pablo Cárdenas (P)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Lorenzo Pasotti (L)

Laboratory of Bioinformatics, Mathematical Modelling and Synthetic Biology, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.

Paolo Magni (P)

Laboratory of Bioinformatics, Mathematical Modelling and Synthetic Biology, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.

Domitilla Del Vecchio (D)

Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. ddv@mit.edu.
Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA. ddv@mit.edu.

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Classifications MeSH