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Wang Y, Liu Y, Wang LL, Zhang QL, Xu L. Integrating Ligands into Nucleic Acid Systems. Chembiochem 2023; 24:e202300292. [PMID: 37401635 DOI: 10.1002/cbic.202300292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/12/2023] [Accepted: 07/04/2023] [Indexed: 07/05/2023]
Abstract
Signal transduction from non-nucleic acid ligands (small molecules and proteins) to structural changes of nucleic acids plays a crucial role in both biomedical analysis and cellular regulations. However, how to bridge between these two types of molecules without compromising the expandable complexity and programmability of the nucleic acid nanomachines is a critical challenge. Compared with the previously most widely applied transduction strategies, we review the latest advances of a kinetically controlled approach for ligand-oligonucleotide transduction in this Concept article. This new design works through an intrinsic conformational alteration of the nucleic acid aptamer upon the ligand binding as a governing factor for nucleic acid strand displacement reactions. The functionalities and applications of this transduction system as a ligand converter on biosensing and DNA computation are described and discussed. Furthermore, we propose some potential scenarios for utilization of this ligand transduction design to regulate gene expression through synthetic RNA switches in the cellular contexts. Finally, future perspectives regarding this ligand-oligonucleotide transduction platform are also discussed.
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Affiliation(s)
- Yang Wang
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging National-Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering, School of Medicine, Shenzhen, 518060, China
- 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
| | - Liang-Liang Wang
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Qiu-Long Zhang
- School of Pharmacy and Medical Technology, Putian University, Putian, 351100, Fujian, China
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, 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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Liang Y, Qie Y, Yang J, Wu R, Cui S, Zhao Y, Anderson GJ, Nie G, Li S, Zhang C. Programming conformational cooperativity to regulate allosteric protein-oligonucleotide signal transduction. Nat Commun 2023; 14:4898. [PMID: 37580346 PMCID: PMC10425332 DOI: 10.1038/s41467-023-40589-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 08/03/2023] [Indexed: 08/16/2023] Open
Abstract
Conformational cooperativity is a universal molecular effect mechanism and plays a critical role in signaling pathways. However, it remains a challenge to develop artificial molecular networks regulated by conformational cooperativity, due to the difficulties in programming and controlling multiple structural interactions. Herein, we develop a cooperative strategy by programming multiple conformational signals, rather than chemical signals, to regulate protein-oligonucleotide signal transduction, taking advantage of the programmability of allosteric DNA constructs. We generate a cooperative regulation mechanism, by which increasing the loop lengths at two different structural modules induced the opposite effects manifesting as down- and up-regulation. We implement allosteric logic operations by using two different proteins. Further, in cell culture we demonstrate the feasibility of this strategy to cooperatively regulate gene expression of PLK1 to inhibit tumor cell proliferation, responding to orthogonal protein-signal stimulation. This programmable conformational cooperativity paradigm has potential applications in the related fields.
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Affiliation(s)
- Yuan Liang
- School of Computer Science, Key Lab of High Confidence Software Technologies, Peking University, 100871, Beijing, China
- School of Control and Computer Engineering, North China Electric Power University, 102206, Beijing, China
| | - Yunkai Qie
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
- GBA Research Innovation Institute for Nanotechnology, Guangzhou, 510530, China
- Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Jing Yang
- School of Control and Computer Engineering, North China Electric Power University, 102206, Beijing, China
| | - Ranfeng Wu
- School of Computer Science, Key Lab of High Confidence Software Technologies, Peking University, 100871, Beijing, China
| | - Shuang Cui
- School of Computer Science, Key Lab of High Confidence Software Technologies, Peking University, 100871, Beijing, China
| | - Yuliang Zhao
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
- GBA Research Innovation Institute for Nanotechnology, Guangzhou, 510530, China
| | - Greg J Anderson
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Herston, Queensland, 4029, Australia
| | - Guangjun Nie
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
- GBA Research Innovation Institute for Nanotechnology, Guangzhou, 510530, China
| | - Suping Li
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, 100190, Beijing, China.
- University of Chinese Academy of Sciences, 100049, Beijing, China.
- GBA Research Innovation Institute for Nanotechnology, Guangzhou, 510530, China.
| | - Cheng Zhang
- School of Computer Science, Key Lab of High Confidence Software Technologies, Peking University, 100871, Beijing, China.
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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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Dorsey PJ, Scalise D, Schulman R. A model of spatio-temporal regulation within biomaterials using DNA reaction-diffusion waveguides. ROYAL SOCIETY OPEN SCIENCE 2022; 9:220200. [PMID: 36016917 PMCID: PMC9399693 DOI: 10.1098/rsos.220200] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 08/03/2022] [Indexed: 06/15/2023]
Abstract
In multi-cellular organisms, cells and tissues coordinate biochemical signal propagation across length scales spanning micrometres to metres. Designing synthetic materials with similar capacities for coordinated signal propagation could allow these systems to adaptively regulate themselves across space and over time. Here, we combine ideas from cell signalling and electronic circuitry to propose a biochemical waveguide that transmits information in the form of a concentration of a DNA species on a directed path. The waveguide could be seamlessly integrated into a soft material because there is virtually no difference between the chemical or physical properties of the waveguide and the material it is embedded within. We propose the design of DNA strand displacement reactions to construct the system and, using reaction-diffusion models, identify kinetic and diffusive parameters that enable super-diffusive transport of DNA species via autocatalysis. Finally, to support experimental waveguide implementation, we propose a sink reaction and spatially inhomogeneous DNA concentrations that could mitigate the spurious amplification of an autocatalyst within the waveguide, allowing for controlled waveguide triggering. Chemical waveguides could facilitate the design of synthetic biomaterials with distributed sensing machinery integrated throughout their structure and enable coordinated self-regulating programmes triggered by changing environmental conditions.
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Affiliation(s)
- Phillip J. Dorsey
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA
| | - Dominic Scalise
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA
| | - Rebecca Schulman
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA
- Department of Computer Science, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA
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Zhang QL, Wang LL, Liu Y, Lin J, Xu L. A kinetically controlled platform for ligand-oligonucleotide transduction. Nat Commun 2021; 12:4654. [PMID: 34341342 PMCID: PMC8329073 DOI: 10.1038/s41467-021-24962-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 07/16/2021] [Indexed: 12/15/2022] Open
Abstract
Ligand-oligonucleotide transduction provides the critical pathway to integrate non-nucleic acid molecules into nucleic acid circuits and nanomachines for a variety of strand-displacement related applications. Herein, a general platform is constructed to convert the signals of ligands into desired oligonucleotides through a precise kinetic control. In this design, the ligand-aptamer binding sequence with an engineered duplex stem is introduced between the toehold and displacement domains of the invading strand to regulate the strand-displacement reaction. Employing this platform, we achieve efficient transduction of both small molecules and proteins orthogonally, and more importantly, establish logical and cascading operations between different ligands for versatile transduction. Besides, this platform is capable of being directly coupled with the signal amplification systems to further enhance the transduction performance. This kinetically controlled platform presents unique features with designing simplicity and flexibility, expandable complexity and system compatibility, which may pave a broad road towards nucleic acid-based developments of sophisticated transduction networks.
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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, China
| | - Liang-Liang Wang
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, China
| | - Yan Liu
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, China
| | - Jiao Lin
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, China
| | - Liang Xu
- MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou, China.
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