Evidence map›Paper›PMID 37789111›Full record

ArticleCommunications biology2023

A versatile regulatory toolkit of arabinose-inducible artificial transcription factors for Enterobacteriaceae.

Gita Naseri, Hannah Raasch, Emmanuelle Charpentier, Marc Erhardt

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. 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
0.8field-weighted citation impact, top 27% of its field
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, 5 citations in OpenAlex.

  1. EngineeringBiomolecules · 2026
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  3. Review
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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

4 authors at 1 institution in 1 country.

Gita NaseriMax Planck Unit for the Science of Pathogens, Charitéplatz 1, 10117, Berlin, Germany. naseri@mpusp.mpg.de.ORCID http://orcid.org/0000-0002-4630-3141
Hannah RaaschInstitut für Biologie, Humboldt-Universität zu Berlin, Philippstrasse 13, 10115, Berlin, Germany.ORCID http://orcid.org/0000-0002-8428-3428
Emmanuelle CharpentierMax Planck Unit for the Science of Pathogens, Charitéplatz 1, 10117, Berlin, Germany.
Marc ErhardtMax Planck Unit for the Science of Pathogens, Charitéplatz 1, 10117, Berlin, Germany. marc.erhardt@hu-berlin.de.ORCID http://orcid.org/0000-0001-6292-619X
Humboldt-Universität zu Berlin · DE

Funding

European Research Council 864971
6 · The paper itself

Abstract

The Gram-negative bacteria Salmonella enterica and Escherichia coli are important model organisms, powerful prokaryotic expression platforms for biotechnological applications, and pathogenic strains constitute major public health threats. To facilitate new approaches for research and biotechnological applications, we here develop a set of arabinose-inducible artificial transcription factors (ATFs) using CRISPR/dCas9 and Arabidopsis-derived DNA-binding proteins to control gene expression in E. coli and Salmonella over a wide inducer concentration range. The transcriptional output of the different ATFs, in particular when expressed in Salmonella rewired for arabinose catabolism, varies over a wide spectrum (up to 35-fold gene activation). As a proof-of-concept, we use the developed ATFs to engineer a Salmonella two-input biosensor strain, SALSOR 0.2 (SALmonella biosenSOR 0.2), which detects and quantifies alkaloid drugs through a measurable fluorescent output. Moreover, we use plant-derived ATFs to regulate β-carotene biosynthesis in E. coli, resulting in ~2.1-fold higher β-carotene production compared to expression of the biosynthesis pathway using a strong constitutive promoter.

Indexed as

Escherichia coliTranscription FactorsArabinosebeta CaroteneEnterobacteriaceaeArabinosebeta CaroteneTranscription Factors

Identifiers

PMID37789111
PMCPMC10547716
OpenAlexW4387310810

What OpenQuestion holds

Textmetadata
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.