Evidence map›Paper›PMID 40335038›Full record

ArticleACS synthetic biology2025

Tuning Ultrasensitivity in Genetic Logic Gates Using Antisense RNA Feedback.

Nicolai Engelmann, Maik Molderings, Heinz Koeppl

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Nicolai EngelmannDepartment of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt 64283, Germany.ORCID 0000-0002-6318-7859
Maik MolderingsDepartment of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt 64283, Germany.
Heinz KoepplDepartment of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt 64283, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inverting genetic logic gates fueled by transcriptional repression is an established building block in genetic circuit design. Often, the gates' dose-response curves require large changes in dose to transition between logic ON and OFF states, potentially leading to logically indeterminate intermediate states when gates are connected. Additionally, leakage in the OFF state is a general concern, especially at the output stages of a circuit. This study explores the potential to improve inverting logic gates through the introduction of an additional sequestration reaction between the input and output chemical species of the gate. As a mechanism of study, we employ antisense RNAs (asRNAs) expressed alongside the mRNA (mRNA) of the logic gate within single transcripts. These asRNAs target mRNAs of adjacent gates and create additional feedback that supports the protein-mediated repression of the gates. Numerical and symbolic analysis indicates that the sequestration steepens the gate's dose-response curve, reduces leakage, and can potentially be used to adjust the location of logic transition. To leverage these effects, we demonstrate how design parameters can be tuned to obtain desired dose-response curves and outline how arbitrary combinational circuits can be assembled using the improved gates. Finally, we also discuss an implementation using split transcripts.

Indexed as

RNA, AntisenseFeedback, PhysiologicalGene Regulatory NetworksRNA, MessengerRNA, AntisenseRNA, Messengerantisense RNAfeedback loopgenetic circuit designgenetic design automationsynthetic biologyultrasensitivity

Identifiers

PMID40335038
PMCPMC12090218

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LicenceCC BY-NC-ND
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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.