Evidence map›Paper›PMID 35155399›Full record

ArticleFrontiers in bioengineering and biotechnology2021

CRISPR Interference Modules as Low-Burden Logic Inverters in Synthetic Circuits.

Massimo Bellato, Angelica Frusteri Chiacchiera, Elia Salibi, Michela Casanova, Davide De Marchi, Ignazio Castagliuolo, Maria Gabriella Cusella De Angelis, Paolo Magni, Lorenzo Pasotti

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Massimo BellatoDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Angelica Frusteri ChiacchieraDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Elia SalibiDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Michela CasanovaDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Davide De MarchiDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Ignazio CastagliuoloDepartment of Molecular Medicine, University of Padua, Padua, Italy.
Maria Gabriella Cusella De AngelisCentre for Health Technologies, University of Pavia, Pavia, Italy.
Paolo MagniDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Lorenzo PasottiDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR and CRISPRi systems have revolutionized our biological engineering capabilities by enabling the editing and regulation of virtually any gene, via customization of single guide RNA (sgRNA) sequences. CRISPRi modules can work as programmable logic inverters, in which the dCas9-sgRNA complex represses a target transcriptional unit. They have been successfully used in bacterial synthetic biology to engineer information processing tasks, as an alternative to the traditionally adopted transcriptional regulators. In this work, we investigated and modulated the transfer function of several model systems with specific focus on the cell load caused by the CRISPRi logic inverters. First, an optimal expression cassette for dCas9 was rationally designed to meet the low-burden high-repression trade-off. Then, a circuit collection was studied at varying levels of dCas9 and sgRNAs targeting three different promoters from the popular

Indexed as

cell loadCRISPR interference (CRISPRi)escherichia coliNOT gatesynthetic circuits

Identifiers

PMID35155399
PMCPMC8831695

What OpenQuestion holds

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LicenceCC BY
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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.