High-Speed Sequential DNA Computing Using a Solid-State DNA Origami Register

DNA computing leverages molecular reactions to achieve diverse information processing functions. Recently developed DNA origami registers, which could be integrated with DNA computing circuits, allow signal transmission between these circuits, enabling DNA circuits to perform complex tasks in a sequential manner, thereby enhancing the programming space and compatibility with various biomolecules of DNA computing. However, these registers support only single-write operations, and the signal transfer involves cumbersome and time-consuming register movements, limiting the speed of sequential computing. Here, we designed a solid-state DNA origami register that compresses output data from a 3D solution to a 2D surface, establishing a rewritable register suitable for solid-state storage. We developed a heterogeneous integration architecture of liquid-state circuits and solid-state registers, reducing the register-mediated signal transfer time between circuits to less than 1 h, thereby achieving fast sequential DNA computing. Furthermore, we designed a trace signal amplifier to read surface-stored signals back into solution. This compact approach not only enhances the speed of sequential DNA computing but also lays the foundation for the visual debugging and automated execution of DNA molecular algorithms.

Authors

Institutions

Publication Details

Journal
ACS Central Science
Published
2024-12-11
DOI
https://doi.org/10.1021/acscentsci.4c01557
Citations
12
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
2.81

Funders

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

High-Speed Sequential DNA Computing Using a Solid-State DNA Origami Register

Chunhai Fan, Hui Lv, Jianing Cheng, Chenyun Sun et al.
12 citations
ACS Central Science
Advanced biosensing and bioanalysis techniques
2.81
article

High-Speed Sequential DNA Computing Using a Solid-State DNA Origami Register

Chunhai Fan, Hui Lv, Jianing Cheng, Chenyun Sun, Yaya Hao, Sisi Jia, Yuqing Tang, Jinyan Zhang, Qian Zhang, Fei Wang, Xiaodong Xie, Mingqiang Li
article en
12 citations

Abstract

DNA computing leverages molecular reactions to achieve diverse information processing functions. Recently developed DNA origami registers, which could be integrated with DNA computing circuits, allow signal transmission between these circuits, enabling DNA circuits to perform complex tasks in a sequential manner, thereby enhancing the programming space and compatibility with various biomolecules of DNA computing. However, these registers support only single-write operations, and the signal transfer involves cumbersome and time-consuming register movements, limiting the speed of sequential computing. Here, we designed a solid-state DNA origami register that compresses output data from a 3D solution to a 2D surface, establishing a rewritable register suitable for solid-state storage. We developed a heterogeneous integration architecture of liquid-state circuits and solid-state registers, reducing the register-mediated signal transfer time between circuits to less than 1 h, thereby achieving fast sequential DNA computing. Furthermore, we designed a trace signal amplifier to read surface-stored signals back into solution. This compact approach not only enhances the speed of sequential DNA computing but also lays the foundation for the visual debugging and automated execution of DNA molecular algorithms.

ACS Central ScienceVol. 10(12)
Shanghai Jiao Tong University (CN), Frontier Science Foundation (CH), Shanghai Zhangjiang Laboratory (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Science and Technology Commission of Shanghai Municipality, Shanghai Jiao Tong University, K. C. Wong Education Foundation, National Key Research and Development Program of China
Openalex Percentile: Top 9%
Advanced biosensing and bioanalysis techniques
2.81
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.