Evidence map›Paper›PMID 42003829›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Enzymatic DNA Reaction Networks for Orchestrating Stimuli-Dependent Temporal Molecular Pulse.

Jiayu Yang, Yali Chang, Zibin Chu, Linghao Zhang, Tengfang Zhang, Dai Erhei, Xin Su, Zhe Yin

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

8 authors.

Jiayu YangState Key Laboratory of Organic-Inorganic Composites, Beijing Key Laboratory of Bioprocess, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Yali ChangState Key Laboratory of Organic-Inorganic Composites, Beijing Key Laboratory of Bioprocess, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Zibin ChuState Key Laboratory of Organic-Inorganic Composites, Beijing Key Laboratory of Bioprocess, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Linghao ZhangState Key Laboratory of Organic-Inorganic Composites, Beijing Key Laboratory of Bioprocess, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Tengfang ZhangState Key Laboratory of Organic-Inorganic Composites, Beijing Key Laboratory of Bioprocess, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Dai ErheiHebei Key Laboratory of Immune Mechanism of Major Infectious Diseases and New Technology of Diagnosis and Treatment, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Xin SuState Key Laboratory of Organic-Inorganic Composites, Beijing Key Laboratory of Bioprocess, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.ORCID https://orcid.org/0000-0002-6629-9856
Zhe YinState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.

Funding

National Natural Science Foundation of China 31971361National Natural Science Foundation of China 32271521State Key Research Development Program of China 2022YFC2603902
6 · The paper itself

Abstract

Temporal dynamics are a hallmark of cellular information processing, yet cell-free biosensors still mainly rely on amplitude-based fluorescence readouts that face multiplex limits from limited spectral channels, cross-talk, and rising complexity. Here we present an enzymatic DNA reaction network (EDRN) that introduces time as an orthogonal coding dimension by translating stimuli into programmable temporal pulses. EDRN integrates a polymerase-based concentration converter that normalizes inputs into a standardized universal strand (Us) at set doses with an exonuclease-driven temporal decoder that converts Us dose into transient fluorescence pulses. This modular separation provides orthogonal enzymatic control over pulse amplitude and lifetime, enabling a wide programmable range without delicate structure-dependent fine-tuning. By tuning Us production through single- or double-layer converters, pulse lifetimes can be programmed from ∼10 min to ∼5 h and temporal signatures assigned across targets. As a proof of concept, we demonstrate multiplex bacterial nucleic-acid detection in one tube, where targets are resolved by time-color encoding, achieving ten-plex readout using four fluorophores with multiple temporal windows. Clinical validation on 32 specimens (22 positives and 10 healthy controls) showed consistency with sequencing. These results establish a general stimulus-to-time strategy for nucleic-acid circuits and expand the multiplexing capacity of fluorescence-based cell-free biosensing.

Indexed as

Biosensing TechniquesDNAHumansDNADNA circuitsDNA nanotechnologyMolecular diagnosticsNucleaseTemporal signal

Identifiers

PMID42003829
PMCPMC13335520

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.