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Zhang QL, Wang Y, Wang LL, Xie F, Wu RY, Ma XY, Li H, Liu Y, Yao S, Xu L. Programming Non-Nucleic Acid Molecules into Computational Nucleic Acid Systems. Angew Chem Int Ed Engl 2023; 62:e202214698. [PMID: 36373715 DOI: 10.1002/anie.202214698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Indexed: 11/16/2022]
Abstract
Nucleic acid (NA) computation has been widely developed in the past years to solve kinds of logic and mathematic issues in both information technologies and biomedical analysis. However, the difficulty to integrate non-NA molecules limits its power as a universal platform for molecular computation. Here, we report a versatile prototype of hybridized computation integrated with both nucleic acids and non-NA molecules. Employing the conformationally controlled ligand converters, we demonstrate that non-NA molecules, including both small molecules and proteins, can be computed as nucleic acid strands to construct the circuitry with increased complexity and scalability, and can be even programmed to solve arithmetical calculations within the computational nucleic acid system. This study opens a new door for molecular computation in which all-NA circuits can be expanded with integration of various ligands, and meanwhile, ligands can be precisely programmed by the nuclei acid computation.
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Affiliation(s)
- Qiu-Long Zhang
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Yang Wang
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Liang-Liang Wang
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Fan Xie
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Ruo-Yue Wu
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Xu-Yang Ma
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Han Li
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Yan Liu
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Shunchun Yao
- School of Electric Power Engineering, South China University of Technology, Guangzhou, 510641, China
| | - Liang Xu
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
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Xiao M, Lai W, Yao X, Pei H, Fan C, Li L. Programming Receptor Clustering with DNA Probabilistic Circuits for Enhanced Natural Killer Cell Recognition. Angew Chem Int Ed Engl 2022; 61:e202203800. [DOI: 10.1002/anie.202203800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Mingshu Xiao
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Wei Lai
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Xiaowei Yao
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Hao Pei
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering Institute of Molecular Medicine Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200240 P. R. China
| | - Li Li
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
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Xiao M, Lai W, Yao X, Pei H, Fan C, Li L. Programming Receptor Clustering with DNA Probabilistic Circuits for Enhanced Natural Killer Cell Recognition. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202203800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Mingshu Xiao
- East China Normal University School of Chemistry and Molecular Engineering 500 Dongchuan Road 200241 Shanghai CHINA
| | - Wei Lai
- East China Normal University School of Chemistry and Molecular Engineering 500 Dongchuan Road 200241 Shanghai CHINA
| | - Xiaowei Yao
- East China Normal University School of Chemistry and Molecular Engineering 500 Dongchuan Road 200241 Shanghai CHINA
| | - Hao Pei
- East China Normal University School of Chemistry and Molecular Engineering 500 Dongchuan Road 200241 Shanghai CHINA
| | - Chunhai Fan
- Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital School of Chemistry and Chemical Engineering, Institute of Molecular Medicine 800 Dongchuan Road 200240 Shanghai CHINA
| | - Li Li
- East China Normal University School of Chemistry and Molecular Engineering No. 500 Dongchuan Road 200241 Shanghai CHINA
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Chen J, Fu S, Zhang C, Liu H, Su X. DNA Logic Circuits for Cancer Theranostics. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2108008. [PMID: 35254723 DOI: 10.1002/smll.202108008] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Revised: 02/08/2022] [Indexed: 06/14/2023]
Abstract
Cancer diagnosis and therapeutics (theranostics) based on the tumor microenvironment (TME) and biomarkers has been an emerging approach for precision medicine. DNA nanotechnology dynamically controls the self-assembly of DNA molecules at the nanometer scale to construct intelligent DNA chemical reaction systems. The DNA logic circuit is a particularly emerging approach for computing within the DNA chemical systems. DNA logic circuits can sensitively respond to tumor-specific markers and the TME through logic operations and signal amplification, to generate detectable signals or to release anti-cancer agents. In this review, the fundamental concepts of DNA logic circuits are clarified, the basic modules in the circuit are summarized, and how this advanced nano-assembly circuit responds to tumor-related molecules, how to perform logic operations, to realize signal amplification, and selectively release drugs through discussing over 30 application examples, are demonstrated. This review shows that DNA logic circuits have powerful logic judgment and signal amplification functions in improving the specificity and sensitivity of cancer diagnosis and making cancer treatment controllable. In the future, researchers are expected to overcome the existing shortcomings of DNA logic circuits and design smarter DNA devices with better biocompatibility and stability, which will further promote the development of cancer theranostics.
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Affiliation(s)
- Jing Chen
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Shengnan Fu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Chunyi Zhang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Huiyu Liu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Xin Su
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
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Wu Z, Xiao M, Lai W, Sun Y, Li L, Hu Z, Pei H. Nucleic Acid-Based Cell Surface Engineering Strategies and Their Applications. ACS APPLIED BIO MATERIALS 2022; 5:1901-1915. [DOI: 10.1021/acsabm.1c01126] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Zhongdong Wu
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Mingshu Xiao
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
| | - Wei Lai
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
| | - Yueyang Sun
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
| | - Li Li
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
| | - Zongqian Hu
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Hao Pei
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
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