Evidence map›Paper›PMID 37841098›Full record

ArticleAccess microbiology2023

Unigems: plasmids and parts to facilitate teaching on assembly, gene expression control and logic in

Alex Siddall, Abbie Ann Williams, Jason Sanders, Jai A Denton, Dean Madden, John Schollar, Jarosław Bryk

Abstract read
In one paragraph

Article in Access microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Single-cell quantification of the microbiota by flow cytometry: MicFLY.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
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.

Alex SiddallSchool of Applied Sciences, University of Huddersfield, Huddersfield, UK.
Abbie Ann WilliamsSchool of Applied Sciences, University of Huddersfield, Huddersfield, UK.
Jason SandersSchool of Art, Design and Architecture, University of Huddersfield, Huddersfield, UK.
Jai A DentonGenomics and Regulatory Systems Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.
Dean MaddenNational Centre for Biotechnology Education, University of Reading, Reading, UK.
John SchollarNational Centre for Biotechnology Education, University of Reading, Reading, UK.
Jarosław BrykSchool of Applied Sciences, University of Huddersfield, Huddersfield, UK.ORCID https://orcid.org/0000-0002-2791-9709

Funding

Wellcome Trust
6 · The paper itself

Abstract

Synthetic biology enables the creative combination of engineering and molecular biology for exploration of fundamental aspects of biological phenomena. However, there are limited resources available for such applications in the educational context, where straightforward setup, easily measurable phenotypes and extensibility are of particular importance. We developed unigems, a set of ten plasmids that enable classroom-based investigation of gene-expression control and biological logic gates to facilitate teaching synthetic biology and genetic engineering. It is built on a high-copy plasmid backbone and is easily extensible thanks to a common primer set that facilitates Gibson assembly of PCR-generated or synthesized DNA parts into the target vector. It includes two reporter genes with either two constitutive (high- or low-level) or two inducible (lactose- or arabinose-) promoters, as well as a single-plasmid implementation of an AND logic gate. The set can readily be employed in undergraduate teaching settings, during outreach events and for training of iGEM teams. All plasmids have been deposited in Addgene.

Indexed as

educationGibson assemblyiGEMplasmidssynthetic biology

Identifiers

PMID37841098
PMCPMC10569648

What OpenQuestion holds

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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.