Evidence map›Paper›PMID 42475721›Full record

ArticleJournal of the American Chemical Society2026

Programmable DNA-Based Dimerization Networks for Dynamic and Competitive Control of Transcription.

Miriam Quattrociocchi, Simone Brannetti, Erica Del Grosso, Francesco Ricci

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. 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

4 authors.

Miriam QuattrociocchiDepartment of Chemical Sciences and Technologies, University of Rome, Tor Vergata, Via della Ricerca Scientifica, Rome00133, Italy.
Simone BrannettiDepartment of Chemical Sciences and Technologies, University of Rome, Tor Vergata, Via della Ricerca Scientifica, Rome00133, Italy.
Erica Del GrossoDepartment of Chemical Sciences and Technologies, University of Rome, Tor Vergata, Via della Ricerca Scientifica, Rome00133, Italy.
Francesco RicciDepartment of Chemical Sciences and Technologies, University of Rome, Tor Vergata, Via della Ricerca Scientifica, Rome00133, Italy.ORCID 0000-0003-4941-8646

Funding

Associazione Italiana per la Ricerca sul Cancro 21965European Research Council 819160Italian Ministry of Research 2022EREM99Italian Ministry of Research PRIN 2022 - 2022TSB8P7Ministero degli Affari Esteri e della Cooperazione Internazionale PGR11372NextGenerationEU PNRR M4C2-Investimento 1.4- CN00000041
6 · The paper itself

Abstract

Here, we introduce a minimal, experimentally validated DNA-encoded analogue of many-to-many protein dimerization networks to achieve programmable control of cell-free transcription. To do so, we rationally designed DNA monomers bearing orthogonal azide or DBCO handles that assemble via SPAAC chemistry into a combinatorial library of covalent dimers where only a single dimer completes an otherwise inactive promoter and activates transcription of a light-up RNA aptamer. By expanding the network from 2 to 22 monomers, we show that the RNA yield can be finely tuned over more than an order of magnitude, in quantitative agreement with a simple combinatorial model in which the activator dimer fraction decreases as a function of network size. We also designed sequence-defined inputs that selectively sequester monomers to reduce network size and upregulate chosen dimer activators, enabling multiplexed, orthogonal activation of different templates in the same solution from a shared monomer pool. Coupling the dimerization layer to a CRISPR-Cas12a collateral cleavage module, we further show that competitive DNA dimerization transcription logic can be interfaced with downstream enzymatic reactions to convert input sets into amplified cleavage activity. Together, these results establish competitive covalent DNA dimerization networks as a modular and quantitatively predictable platform for implementing competitive many-to-many dimerization logic for controlling cell-free transcription outputs.

Indexed as

DNATranscription, GeneticDimerizationDNA

Identifiers

PMID42475721
PMCPMC13450382

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.