Evidence map›Paper›PMID 39126322›Full record

ArticleNucleic acids research2024

Induction of bacterial expression at the mRNA level by light.

Américo T Ranzani, Konrad Buchholz, Marius Blackholm, Hayat Kopkin, Andreas Möglich

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Américo T RanzaniDepartment of Biochemistry, University of Bayreuth, 95447 Bayreuth, Germany.ORCID 0000-0002-6203-9467
Konrad BuchholzDepartment of Biochemistry, University of Bayreuth, 95447 Bayreuth, Germany.ORCID 0009-0000-2788-6233
Marius BlackholmDepartment of Biochemistry, University of Bayreuth, 95447 Bayreuth, Germany.ORCID 0000-0001-8008-1418
Hayat KopkinDepartment of Biochemistry, University of Bayreuth, 95447 Bayreuth, Germany.ORCID 0009-0007-4979-1519
Andreas MöglichDepartment of Biochemistry, University of Bayreuth, 95447 Bayreuth, Germany.ORCID 0000-0002-7382-2772

Funding

Deutsche Forschungsgemeinschaft MO2192/6-2
6 · The paper itself

Abstract

Vital organismal processes, including development, differentiation and adaptation, involve altered gene expression. Although expression is frequently controlled at the transcriptional stage, various regulation mechanisms operate at downstream levels. Here, we leverage the photoreceptor NmPAL to optogenetically induce RNA refolding and the translation of bacterial mRNAs. Blue-light-triggered NmPAL binding disrupts a cis-repressed mRNA state, thereby relieves obstruction of translation initiation, and upregulates gene expression. Iterative probing and optimization of the circuit, dubbed riboptoregulator, enhanced induction to 30-fold. Given action at the mRNA level, the riboptoregulator can differentially regulate individual structural genes within polycistronic operons. Moreover, it is orthogonal to and can be wed with other gene-regulatory circuits for nuanced and more stringent gene-expression control. We thus advance the pAurora2 circuit that combines transcriptional and translational mechanisms to optogenetically increase bacterial gene expression by >1000-fold. The riboptoregulator strategy stands to upgrade numerous regulatory circuits and widely applies to expression control in microbial biotechnology, synthetic biology and materials science.

Indexed as

Gene Expression Regulation, BacterialLightRNA, MessengerEscherichia coliOperonOptogeneticsPhotoreceptors, MicrobialProtein BiosynthesisRNA, BacterialRNA FoldingPhotoreceptors, MicrobialRNA, BacterialRNA, Messenger

Identifiers

PMID39126322
PMCPMC11381354

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LicenceCC BY
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Registered trials

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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.