Related Experiment Video
Updated: Jun 9, 2025

09:26
DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
Published on: December 29, 2021
4.1K
Harnessing DNA computing and nanopore decoding for practical applications: from informatics to microRNA-targeting
Sotaro Takiguchi1, Nanami Takeuchi1, Vasily Shenshin2
1Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo 184-8588, Japan. rjkawano@cc.tuat.ac.jp.
Chemical Society Reviews
|October 29, 2024
Summary
DNA computing leverages DNA
Area of Science:
- Molecular computing
- Bioinformatics
- Nanotechnology
Background:
- DNA computing offers high programmability for next-generation computation.
- Biomedical applications, especially diagnostics, are emerging areas for DNA computing.
- Decoding DNA computing outputs into human-readable signals is crucial for practical use.
Purpose of the Study:
- To review fundamental DNA computing concepts, technologies, and methodologies.
- To highlight nanopore technology for label-free decoding of DNA computing outputs.
- To discuss advancements in microRNA diagnostics using DNA computing and nanopore decoding.
Main Methods:
- Summarizing DNA computing principles (logic gates, circuits, neural networks).
- Detailing nanopore-based decoding techniques for nucleic acid signals.
- Reviewing applications in medical diagnostics, focusing on microRNA biomarkers.
Main Results:
- DNA computing, combined with nanopore decoding, shows promise for advanced diagnostics.
- Nanopore technology enables efficient, label-free signal interpretation from DNA computing devices.
- Progress in microRNA detection demonstrates the potential of these integrated technologies.
Conclusions:
- Integrated DNA computing and nanopore decoding offer a powerful platform for future applications.
- Challenges remain in practical implementation, but potential is significant.
- This review provides insights for researchers to advance DNA computing and nanopore technologies.
Related Concept Videos
DNA Microarrays
17.2K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
17.2K
RNA-seq
9.8K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.8K
Genomics
36.1K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.1K

