Enzymatic DNA Reaction Networks for Orchestrating Stimuli‐Dependent Temporal Molecular Pulse
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.
Authors
- Linghao Zhang (ORCID: https://orcid.org/0000-0002-6587-5938)
- Tengfang Zhang (ORCID: https://orcid.org/0009-0003-9948-9095)
- Zhe Yin (ORCID: https://orcid.org/0000-0003-0530-7100)
- Xin Su (ORCID: https://orcid.org/0000-0002-6629-9856)
- Erhei Dai
- Zibin Chu
- Yali Chang
- Jiayu Yang
Institutions
- Hebei Medical University (CN)
- Academy of Military Medical Sciences (CN)
- Fifth Hospital of Shijiazhuang (CN)
- Beijing University of Chemical Technology (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-04-20
- DOI
- https://doi.org/10.1002/advs.202520984
- Primary Topic
- Gene Regulatory Network Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China