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Choe C, Andreasson JOL, Melaine F, Kladwang W, Wu MJ, Portela F, Wellington-Oguri R, Nicol JJ, Wayment-Steele HK, Gotrik M, Participants E, Khatri P, Greenleaf WJ, Das R. Compact RNA sensors for increasingly complex functions of multiple inputs. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.04.572289. [PMID: 38260323 PMCID: PMC10802310 DOI: 10.1101/2024.01.04.572289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Designing single molecules that compute general functions of input molecular partners represents a major unsolved challenge in molecular design. Here, we demonstrate that high-throughput, iterative experimental testing of diverse RNA designs crowdsourced from Eterna yields sensors of increasingly complex functions of input oligonucleotide concentrations. After designing single-input RNA sensors with activation ratios beyond our detection limits, we created logic gates, including challenging XOR and XNOR gates, and sensors that respond to the ratio of two inputs. Finally, we describe the OpenTB challenge, which elicited 85-nucleotide sensors that compute a score for diagnosing active tuberculosis, based on the ratio of products of three gene segments. Building on OpenTB design strategies, we created an algorithm Nucleologic that produces similarly compact sensors for the three-gene score based on RNA and DNA. These results open new avenues for diverse applications of compact, single molecule sensors previously limited by design complexity.
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Affiliation(s)
- Christian Choe
- Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA
| | - Johan O. L. Andreasson
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Current address: Airity Technologies, Redwood City, CA, USA
| | - Feriel Melaine
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - Wipapat Kladwang
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Current address: Inceptive, Palo Alto, CA, USA
| | - Michelle J. Wu
- Program in Biomedical Informatics, Stanford University School of Medicine, Stanford, CA, USA
- Current address: Verily Life Sciences, South San Francisco, CA, USA
| | - Fernando Portela
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Eterna Massive Open Laboratory
| | - Roger Wellington-Oguri
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Eterna Massive Open Laboratory
| | - John J. Nicol
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Eterna Massive Open Laboratory
| | | | - Michael Gotrik
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Current address: Protillion Biosciences, Burlingame, CA, USA
| | | | - Purvesh Khatri
- Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA
- Stanford Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - William J. Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Rhiju Das
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Program in Biomedical Informatics, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
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Liao Y, Hu H, Tang X, Qin Y, Zhang W, Dong K, Yan B, Mu Y, Li L, Ming Z, Xiao X. A versatile and convenient tool for regulation of DNA strand displacement and post-modification on pre-fabricated DNA nanodevices. Nucleic Acids Res 2023; 51:29-40. [PMID: 36537218 PMCID: PMC9841412 DOI: 10.1093/nar/gkac1193] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/18/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022] Open
Abstract
Toehold-mediated strand displacement and its regulatory tools are fundamental for DNA nanotechnology. However, current regulatory tools all need to change the original sequence of reactants, making the regulation inconvenient and cumbersome. More importantly, the booming development of DNA nanotechnology will soon promote the production of packaged and batched devices or circuits with specified functions. Regarding standardized, packaged DNA nanodevices, access to personalized post-modification will greatly help users, whereas none of the current regulatory tools can provide such access, which has greatly constrained DNA nanodevices from becoming more powerful and practical. Herein, we developed a novel regulation tool named Cap which has two basic functions of subtle regulation of the reaction rate and erasability. Based on these functions, we further developed three advanced functions. Through integration of all functions of Cap and its distinct advantage of working independently, we finally realized personalized tailor-made post-modification on pre-fabricated DNA circuits. A pre-fabricated dual-output DNA circuit was successfully transformed into an equal-output circuit, a signal-antagonist circuit and a covariant circuit according to our requirements. Taken together, Cap is easy to design and generalizable for all strand displacement-based DNA nanodevices. We believe the Cap tool will be widely used in regulating reaction networks and personalized tailor-made post-modification of DNA nanodevices.
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Affiliation(s)
- Yangwei Liao
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Department of Biliary-Pancreatic Surgery, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave, Wuhan, 430030, Hubei, China
| | - Hao Hu
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiaofeng Tang
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Prenatal Diagnosis Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yang Qin
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Wei Zhang
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Kejun Dong
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Bei Yan
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yaoqin Mu
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Longjie Li
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, China
| | - Zhihao Ming
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xianjin Xiao
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Department of Laboratory Medicine, Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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Ma Q, Zhang M, Zhang C, Teng X, Yang L, Tian Y, Wang J, Han D, Tan W. An automated DNA computing platform for rapid etiological diagnostics. SCIENCE ADVANCES 2022; 8:eade0453. [PMID: 36427311 PMCID: PMC9699674 DOI: 10.1126/sciadv.ade0453] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Rapid and accurate classification of the etiology for acute respiratory illness not only helps establish timely therapeutic plans but also prevents inappropriate use of antibiotics. Host gene expression patterns in peripheral blood can discriminate bacterial from viral causes of acute respiratory infection (ARI) but suffer from long turnaround time, as well as high cost resulting from the measurement methods of microarrays and next-generation sequencing. Here, we developed an automated DNA computing-based platform that can implement an in silico trained classification model at the molecular level with seven different mRNA expression patterns for accurate diagnosis of ARI etiology in 4 hours. By integrating sample loading, marker amplification, classifier implementation, and results reporting into one platform, we obtained a diagnostic accuracy of 87% in 80 clinical samples without the aid of computer and laboratory technicians. This platform creates opportunities toward an accurate, rapid, low-cost, and automated diagnosis of disease etiology in emergency departments or point-of-care clinics.
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Affiliation(s)
- Qian Ma
- Zhejiang Cancer Hospital, The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
- Intellinosis Biotechnologies Co. Ltd., Shanghai, China
| | - Mingzhi Zhang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Chao Zhang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
- Intellinosis Biotechnologies Co. Ltd., Shanghai, China
- Corresponding author. (D.H.); (W.T.); (C.Z.)
| | - Xiaoyan Teng
- Department of Laboratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 201306, China
| | - Linlin Yang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Yuan Tian
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Junyan Wang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Da Han
- Zhejiang Cancer Hospital, The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
- Corresponding author. (D.H.); (W.T.); (C.Z.)
| | - Weihong Tan
- Zhejiang Cancer Hospital, The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
- Corresponding author. (D.H.); (W.T.); (C.Z.)
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Luo T, Fan S, Liu Y, Song J. Information processing based on DNA toehold-mediated strand displacement (TMSD) reaction. NANOSCALE 2021; 13:2100-2112. [PMID: 33475669 DOI: 10.1039/d0nr07865d] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
SemiSynBio is an emerging topic toward the construction of platforms for next-generation information processing. Recent research has indicated its promising prospect toward information processing including algorithm design and pattern manipulation with the DNA TMSD reaction, which is one of the cores of the SemiSynBio technology route. The DNA TMSD reaction is the process in which an invader strand displaces the incumbent strand from the gate strand through initiation at the exposed toehold domain. Also, the DNA TMSD reaction generally involves three processes: toehold association, branch migration and strand disassociation. Herein, we review the recent progress on information processing with the DNA TMSD reaction. We highlight the diverse developments on information processing with the logic circuit, analog circuit, combinational circuit and information relay with the DNA origami structure. Additionally, we explore the current challenges and various trends toward the design and application of the DNA TMSD reaction in future information processing.
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Affiliation(s)
- Tao Luo
- Institute of Nano Biomedicine and Engineering, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Sisi Fan
- Institute of Nano Biomedicine and Engineering, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Yan Liu
- Institute of Nano Biomedicine and Engineering, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Jie Song
- Institute of Nano Biomedicine and Engineering, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. and Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences; The Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
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Ding T, Yang J, Pan V, Zhao N, Lu Z, Ke Y, Zhang C. DNA nanotechnology assisted nanopore-based analysis. Nucleic Acids Res 2020; 48:2791-2806. [PMID: 32083656 PMCID: PMC7102975 DOI: 10.1093/nar/gkaa095] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 01/29/2020] [Accepted: 02/17/2020] [Indexed: 12/30/2022] Open
Abstract
Nanopore technology is a promising label-free detection method. However, challenges exist for its further application in sequencing, clinical diagnostics and ultra-sensitive single molecule detection. The development of DNA nanotechnology nonetheless provides possible solutions to current obstacles hindering nanopore sensing technologies. In this review, we summarize recent relevant research contributing to efforts for developing nanopore methods associated with DNA nanotechnology. For example, DNA carriers can capture specific targets at pre-designed sites and escort them from nanopores at suitable speeds, thereby greatly enhancing capability and resolution for the detection of specific target molecules. In addition, DNA origami structures can be constructed to fulfill various design specifications and one-pot assembly reactions, thus serving as functional nanopores. Moreover, based on DNA strand displacement, nanopores can also be utilized to characterize the outputs of DNA computing and to develop programmable smart diagnostic nanodevices. In summary, DNA assembly-based nanopore research can pave the way for the realization of impactful biological detection and diagnostic platforms via single-biomolecule analysis.
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Affiliation(s)
- Taoli Ding
- Department of Computer Science and Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
- Department of Biomedical Engineering, College of engineering, Peking University, Beijing 100871, China
| | - Jing Yang
- School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
| | - Victor Pan
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Chemistry, Emory University, Atlanta, GA 30322, USA
| | - Nan Zhao
- School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
| | - Zuhong Lu
- Department of Biomedical Engineering, College of engineering, Peking University, Beijing 100871, China
| | - Yonggang Ke
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Chemistry, Emory University, Atlanta, GA 30322, USA
| | - Cheng Zhang
- Department of Computer Science and Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
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Abstract
Many biochemical events of importance are complex and dynamic. Fluorescence microscopy offers a versatile solution to study the dynamics of biology at the mesoscale. An important challenge in the field is the simultaneous study of several objects of interest, referred to as optical multiplexing. For improved multiplexing, some prior techniques used repeated reporter washing or the geometry of nanostructures; however, these techniques require complex nanostructure assembly, multiple reporters, or advanced multistep drift correction. Here we propose a time-based approach, for improved optical multiplexing, that uses readily available inexpensive reporters and requires minimal preparation efforts. We program short DNA strands, referred hereby as DNA devices, such that they undergo unique conformation changes in the presence of the dye-labeled reporters. The universal fluorescent reporter transiently binds with the devices to report their activity. Since each device is programmed to exhibit different hybridization kinetics, their fluorescent time trace, referred to as the temporal barcode, will be unique. We model our devices using continuous-time Markov chains and use stochastic simulation algorithm to generate their temporal patterns. We first ran simulation experiments with a small number of DNA devices, demonstrating several distinct temporal barcodes, all of which use a single dye color. Later, using nanostructure-based devices, we designed a much larger pool of temporal barcodes and used machine learning for classification of these barcodes. Our simulation experiments and design principles can aid in the experimental demonstration of the DNA devices.
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Affiliation(s)
- Shalin Shah
- Department of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27701, United States
| | - Abhishek K. Dubey
- Department of Computer Science, Duke University, Durham, North Carolina 27701, United States
- Computational Sciences and Engineering Division, Health Data Sciences Institute, Oak Ridge National Lab, Oak Ridge, Tennessee 37831, United States
| | - John Reif
- Department of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27701, United States
- Department of Computer Science, Duke University, Durham, North Carolina 27701, United States
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Shah S, Song T, Song X, Yang M, Reif J. Implementing Arbitrary CRNs Using Strand Displacing Polymerase. LECTURE NOTES IN COMPUTER SCIENCE 2019. [DOI: 10.1007/978-3-030-26807-7_2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Shah S, Reif J. Temporal DNA Barcodes: A Time-Based Approach for Single-Molecule Imaging. ACTA ACUST UNITED AC 2018. [DOI: 10.1007/978-3-030-00030-1_5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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