Detection of Multiple Disease Indicators by an Autonomous Biomolecular Computer

Gil, Binyamin; Kahan-Hanum, Maya; Skirtenko, Natalia; Adar, R; Shapiro, Ehud

doi:10.1021/nl2015872

Cited by 43 publications

(34 citation statements)

References 59 publications

(98 reference statements)

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“…[43] Moreover, logical circuitry may one day lead to the development of “smart drugs” that can sense and analyze multiple physiological cues and then perform logical operations to release drugs or regulate genetic expressions. [44] Another direction includes mimicking biological systems by using dynamic NA-based devices to gain more insight into naturally occurring systems, with concomitant translational applications, for example, in the design of artificial neural networks exhibiting autonomous brainlike behaviors. [11] It is difficult to predict how far these NA-based logical systems can go, as new technologies will continue to emerge.…”

Section: Discussionmentioning

confidence: 99%

Nucleic Acid Based Logical Systems

Han

Kang

Zhang

et al. 2014

Chemistry A European J

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Researchers increasingly visualize a significant role for artificial biochemical logical systems in biological engineering, much like digital logic circuits in electrical engineering. Those logical systems could be utilized as a type of servomechanism to control nanodevices in vitro, monitor chemical reactions in situ, or regulate gene expression in vivo. Nucleic acids (NA), as carriers of genetic information with well-regulated and predictable structures, are promising materials for the design and engineering of biochemical circuits. A number of logical devices based on nucleic acids (NA) have been designed to handle various processes for technological or biotechnological purposes. This article focuses on the most recent and important developments in NA-based logical devices and their evolution from in vitro, through cellular, even towards in vivo biological applications.

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Section: Discussionmentioning

confidence: 99%

Nucleic Acid Based Logical Systems

Han

Kang

Zhang

et al. 2014

Chemistry A European J

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“…81 Drug-releasing processes triggered by biomolecular signals are of special interest and are promising for functional integration of releasing systems with physiological processes, 82 particularly for development of closed-loop control systems. 83 Processing different biomolecular signals using biocomputing logic systems will result in "smart" autonomously operating molecular devices 84 In most of the presently designed substance-releasing systems activated by biochemical signals, the sensing component is represented by chemical receptors directly integrated with the releasing system, 85 significantly increasing the system complexity and limiting its versatility. The system design would be much easier if the sub-systems responsible for the signal-processing and signaltriggered drug release were realized in different materials, essentially on different electrodes, communicating electrically.…”

Section: Integration Of Bioelectrochemical Actuators With Biomoleculamentioning

confidence: 99%

Biomolecular logic systems: applications to biosensors and bioactuators

Katz

2014

SPIE Proceedings

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The paper presents an overview of recent advances in biosensors and bioactuators based on the biocomputing concept. Novel biosensors digitally process multiple biochemical signals through Boolean logic networks of coupled biomolecular reactions and produce output in the form of YES/NO response. Compared to traditional single-analyte sensing devices, biocomputing approach enables a high-fidelity multi-analyte biosensing, particularly beneficial for biomedical applications. Multi-signal digital biosensors thus promise advances in rapid diagnosis and treatment of diseases by processing complex patterns of physiological biomarkers. Specifically, they can provide timely detection and alert to medical emergencies, along with an immediate therapeutic intervention. Application of the biocomputing concept has been successfully demonstrated for systems performing logic analysis of biomarkers corresponding to different injuries, particularly exemplified for liver injury. Wide-ranging applications of multi-analyte digital biosensors in medicine, environmental monitoring and homeland security are anticipated. "Smart" bioactuators, for example for signal-triggered drug release, were designed by interfacing switchable electrodes and biocomputing systems. Integration of novel biosensing and bioactuating systems with the biomolecular information processing systems keeps promise for further scientific advances and numerous practical applications.

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“…The design and construction of molecular computers with small size and lower power consumption can help us to process, transfer, and store information at the molecular level and further understand life processes and activities [1][2][3][4][5]. Molecular computers have much computing performance that may be hard to reach with silicon-based devices.…”

Section: Introductionmentioning

confidence: 99%

Multifunctional gold nanoparticles as signal transducers for fabrication of 1:2 molecular demultiplexer

2015

Anal Bioanal Chem

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A label-free and enzyme-free demultiplexer system for the fabrication of 1:2 molecular demultiplexer with luminol functionalized gold nanoparticles (Lum-AuNPs) as signal transducers was developed for the first time. The Lum-AuNPs had both chemiluminescence (CL) activity and surface plasmon resonance property. It was found that organothiols (RSH) could easily induce the aggregation of AuNPs via strong Au-S covalent interactions in the absence of hydrogen peroxide (H2O2), generating a red shift in the absorption band of AuNPs. However, the presence of H2O2 would readily oxidize RSH to disulfide (RS-SR), and the aggregation of Lum-AuNPs did not occur due to lack of the sulfhydryl group. Meanwhile, H2O2 could react with Lum-AuNPs, producing a strong CL emission owing to the enhancement effect of RSH on AuNPs-luminol-H2O2 CL system. Thus, RSH, H2O2, absorbance ratio, and CL intensity served as the signal input, address input, and two different signal outputs of the 1:2 molecular demultiplexer, respectively.

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Detection of Multiple Disease Indicators by an Autonomous Biomolecular Computer

Cited by 43 publications

References 59 publications

Nucleic Acid Based Logical Systems

Nucleic Acid Based Logical Systems

Biomolecular logic systems: applications to biosensors and bioactuators

Multifunctional gold nanoparticles as signal transducers for fabrication of 1:2 molecular demultiplexer

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