Evidence map›Paper›PMID 41258773›Full record

ArticleJournal of the American Chemical Society2025

A Modular T7 RNA Polymerase Toolbox Linking Selective miRNA Detection to Signal Amplification and Protein Expression.

Maria Vonk-de Roy, Andreas Walther

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Maria Vonk-de RoyLife-Like Materials and Systems, University of Mainz, Duesbergweg 10-14, 55128 Mainz, Germany.ORCID 0009-0005-3596-973X
Andreas WaltherLife-Like Materials and Systems, University of Mainz, Duesbergweg 10-14, 55128 Mainz, Germany.ORCID 0000-0003-2170-3306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells process and integrate diverse molecular signals through complex biochemical reaction networks combining sensing, computation, and response. Synthetic analogs in the form of chemical reaction networks (CRNs) still fall short in parallel and selective processing and often suffer from limited modularity, incompatibilities, or leakage. Here, we present a versatile and leakage-free T7 RNA polymerase (T7 RNAP) toolbox that bridges from selective oligonucleotide detection to gated transcription and finally protein expression in a programmable manner. Central to our system is the design of modular T7-Locks, that release active T7 promoters only upon specific oligonucleotide binding to trigger transcription. This enables quantitative and orthogonal miRNA detection with ON/OFF ratios exceeding 100. We further demonstrate that incorporation of site-specific transcription terminators via C12 spacers inside T7 templates enables controlled signal amplification through positive feedback. Finally, we establish miRNA-triggered protein expression in a cell-free TX-TL system using specifically engineered sticky-end genes that are gated through T7-Locks on a transcriptional level. This modular platform connects input sensing, amplification, and output synthesis, providing a generalizable strategy for DNA or RNA-driven information processing in synthetic biology.

Indexed as

DNA-Directed RNA PolymerasesMicroRNAsViral ProteinsTranscription, Geneticbacteriophage T7 RNA polymeraseDNA-Directed RNA PolymerasesMicroRNAsViral Proteins

Identifiers

PMID41258773
PMCPMC12679629

What OpenQuestion holds

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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.