Evidence map›Paper›PMID 40011207›Full record

ArticleACS synthetic biology2025

Potential and Optimization of Mammalian Splice Riboswitches for the Regulation of Exon Skipping-Dependent Gene Expression and Isoform Switching within the

Robin W Bruckhoff, Olga Becker, Dieter Steinhilber, Beatrix Suess

Abstract read
In one paragraph

Article in ACS synthetic biology, 2025. 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. Review
  2. Article
  3. Regulatable In Vivo Gene Expression via Adaptamers.bioRxiv : the preprint server for biology · 2025
    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

4 authors.

Robin W BruckhoffDepartment of Biology, Technical University of Darmstadt, Schnittspahnstraße 10, Darmstadt D-64287, Germany.
Olga BeckerDepartment of Biology, Technical University of Darmstadt, Schnittspahnstraße 10, Darmstadt D-64287, Germany.
Dieter SteinhilberInstitute of Pharmaceutical Chemistry, Goethe University, Max-von-Laue-Straße 9, Frankfurt am Main D-60438, Germany.
Beatrix SuessDepartment of Biology, Technical University of Darmstadt, Schnittspahnstraße 10, Darmstadt D-64287, Germany.ORCID 0000-0001-8666-6716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic riboswitches are attracting increasing interest for a diverse range of applications, including synthetic biology, functional genomics, and prospective therapeutic strategies. This study demonstrates that controlling alternative splicing with synthetic riboswitches represents a promising approach to effectively regulating transgene expression in mammalian cells. However, the function of synthetic riboswitches in the eukaryotic system in controlling gene expression is often limited to certain genes or cell types. So far, strategies to increase the dynamic range of regulation have been focused on adapting and modifying the riboswitch sequence itself without taking into account the context in which the riboswitch was inserted. In the present study, the tetracycline riboswitch was chosen to investigate the effects of the context and insertion site of a cassette exon within the gene to control the expression of an artificial arachidonate 5-lipoxygenase gene (

Indexed as

Alternative SplicingArachidonate 5-LipoxygenaseExonsRiboswitchGene Expression RegulationHEK293 CellsHumansIntronsProtein IsoformsTetracyclineALOX5 protein, humanArachidonate 5-LipoxygenaseProtein IsoformsRiboswitchTetracyclinealternative splicingaptamerarachidonate 5-lipoxygenaseexon skippingsynthetic biologytetracycline riboswitch

Identifiers

PMID40011207
PMCPMC11934966

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.