A Programmed DNA Dynamic Assembly‐Guided Molecular Amplifier for Authentic Information Decryption

Nucleic acid-based cryptographic approaches are an innovative emerging field for information process. However, the poor reproducibility and interference from bioenvironment of the existing decryption led to different binary translation according to the fixed threshold defined by "Sender", which seriously affects the authenticity during message communication. Here, a programmed DNA constitutional dynamic network (CDN)-derived adaptive threshold is shown, which is defined by the difference value of the two groups of the output patterns from CDN. Under external stimuli, the threshold is adaptive to the generated dynamic output patterns, which avoids the contrary binary translation from a slight difference on the output under fixed threshold. Importantly, there are two self-calibrating patterns in each output group and the total concentration of constituents from the CDN system are constant, which greatly eliminates the data error. The CDN system is accompanied by computational simulation, which can predict the output patterns of the system at different states. The CDN is used to control the orthogonal and cascaded nanoparticle-based molecular amplifiers to expand the volume of the transmitting message, as well as allow the accurate and specific sensing of DNA. Various state-of-the-art representation is demonstrated by coding and decoding different types of messages.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-05-19
DOI
https://doi.org/10.1002/advs.202409586
Citations
2
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Programmed DNA Dynamic Assembly‐Guided Molecular Amplifier for Authentic Information Decryption

Fengying Yuan, Ying Zhuo, Pu Zhang, Jie Zhou et al.
2 citations
Advanced Science
Advanced biosensing and bioanalysis techniques
1.61
article

A Programmed DNA Dynamic Assembly‐Guided Molecular Amplifier for Authentic Information Decryption

Fengying Yuan, Ying Zhuo, Pu Zhang, Jie Zhou, Yaqin Chai, Ruo Yuan, Yu Ouyang, Yajuan Liu, Jia Zhang, Ning Yang
article en
2 citations

Abstract

Nucleic acid-based cryptographic approaches are an innovative emerging field for information process. However, the poor reproducibility and interference from bioenvironment of the existing decryption led to different binary translation according to the fixed threshold defined by "Sender", which seriously affects the authenticity during message communication. Here, a programmed DNA constitutional dynamic network (CDN)-derived adaptive threshold is shown, which is defined by the difference value of the two groups of the output patterns from CDN. Under external stimuli, the threshold is adaptive to the generated dynamic output patterns, which avoids the contrary binary translation from a slight difference on the output under fixed threshold. Importantly, there are two self-calibrating patterns in each output group and the total concentration of constituents from the CDN system are constant, which greatly eliminates the data error. The CDN system is accompanied by computational simulation, which can predict the output patterns of the system at different states. The CDN is used to control the orthogonal and cascaded nanoparticle-based molecular amplifiers to expand the volume of the transmitting message, as well as allow the accurate and specific sensing of DNA. Various state-of-the-art representation is demonstrated by coding and decoding different types of messages.

Advanced ScienceVol. 12(22)
Southwest University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 17%
Advanced biosensing and bioanalysis techniques
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.