Evidence map›Paper›PMID 33727557›Full record

ArticleNature communications2021

dCas9 regulator to neutralize competition in CRISPRi circuits.

Hsin-Ho Huang, Massimo Bellato, Yili Qian, Pablo Cárdenas, Lorenzo Pasotti, Paolo Magni, Domitilla Del Vecchio

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hsin-Ho Huang *Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-2435-480X
Massimo Bellato *Laboratory of Bioinformatics, Mathematical Modelling and Synthetic Biology, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.ORCID 0000-0001-7428-0656
Yili QianDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-1097-0401
Pablo CárdenasDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-7015-0512
Lorenzo PasottiLaboratory of Bioinformatics, Mathematical Modelling and Synthetic Biology, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Paolo MagniLaboratory of Bioinformatics, Mathematical Modelling and Synthetic Biology, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Domitilla Del VecchioDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. ddv@mit.edu.ORCID 0000-0001-6472-8576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Gene Regulatory NetworksCRISPR-Associated Protein 9CRISPR-Cas SystemsGenetic TechniquesRNA, Guide, CRISPR-Cas SystemsCRISPR-Associated Protein 9RNA, Guide, CRISPR-Cas Systems

Identifiers

PMID33727557
PMCPMC7966764

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.