Evidence map›Paper›PMID 37644054›Full record

ArticleNature communications2023

A portable regulatory RNA array design enables tunable and complex regulation across diverse bacteria.

Baiyang Liu, Christian Cuba Samaniego, Matthew R Bennett, Elisa Franco, James Chappell

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 7 citations in OpenAlex.

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  8. Toward predictable universal genetic circuit design.Quantitative biology (Beijing, China) · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Baiyang LiuGraduate Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, TX, USA.
Christian Cuba SamaniegoDepartment of Mechanical and Aerospace Engineering, Bioengineering, Molecular Biology Institute, University of California at Los Angeles, Los Angeles, CA, USA.
Matthew R BennettDepartment of Biosciences, Rice University, Houston, TX, USA.ORCID http://orcid.org/0000-0002-4975-8854
Elisa FrancoDepartment of Mechanical and Aerospace Engineering, Bioengineering, Molecular Biology Institute, University of California at Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1103-2668
James ChappellDepartment of Biosciences, Rice University, Houston, TX, USA. jc125@rice.edu.ORCID http://orcid.org/0000-0001-7367-1524
Rice University · USUniversity of California, Los Angeles · US

Funding

Dynamics and pattern formation in differentiating cellular populationsR01GM144959 · NIGMS · RICE UNIVERSITY · PI BENNETT, MATTHEW R. · 2021 to 2024
$1.2M
NIGMS NIH HHS R01 GM144959
6 · The paper itself

Abstract

A lack of composable and tunable gene regulators has hindered efforts to engineer non-model bacteria and consortia. Toward addressing this, we explore the broad-host potential of small transcription activating RNA (STAR) and propose a design strategy to achieve tunable gene control. First, we demonstrate that STARs optimized for E. coli function across different Gram-negative species and can actuate using phage RNA polymerase, suggesting that RNA systems acting at the level of transcription are portable. Second, we explore an RNA design strategy that uses arrays of tandem and transcriptionally fused RNA regulators to precisely alter regulator concentration from 1 to 8 copies. This provides a simple means to predictably tune output gain across species and does not require access to large regulatory part libraries. Finally, we show RNA arrays can be used to achieve tunable cascading and multiplexing circuits across species, analogous to the motifs used in artificial neural networks.

Indexed as

BacteriophagesEscherichia coliBacteriaEngineeringRNARNA

Identifiers

PMID37644054
PMCPMC10465534
OpenAlexW4386255290

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.