Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

97.8K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
97.8K
DNA Microarrays02:34

DNA Microarrays

20.7K
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...
20.7K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

12.6K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
12.6K
Genomics02:02

Genomics

39.7K
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...
39.7K
Sanger Sequencing01:57

Sanger Sequencing

773.3K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
773.3K
DNA as a Genetic Template02:05

DNA as a Genetic Template

27.4K
Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...
27.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pattern-Verifiable Heterowalkers Scaffolded on a DNA Origami Nanosheet for Multiplexed Profiling of miRNAs.

ACS nano·2026
Same author

Evolution of Multidimensional DNA Origami Crystal Habits by Bottom-Up Shaping and Top-Down Cutting.

Journal of the American Chemical Society·2026
Same author

DNA-programmed responsive microorganism assembly with controlled patterns and behaviors.

Science advances·2025
Same author

Diverse applications of DNA origami as a cross-disciplinary tool.

Nanoscale·2025
Same author

Fast synthesis of DNA origami single crystals at room temperature.

Chemical science·2024
Same author

Exploring DNA Computers: Advances in Storage, Cryptography and Logic Circuits.

Chembiochem : a European journal of chemical biology·2024
Same journal

Core-shell porous carbon hosts with spatially regulated lithium affinity for inward lithium deposition.

Nanoscale horizons·2026
Same journal

Nanocapsules as smart natural product drug delivery systems: recent advances and future directions.

Nanoscale horizons·2026
Same journal

Geometry scaling of thermal boundary resistance in plasmonic nanostructures.

Nanoscale horizons·2026
Same journal

Outstanding Reviewers for <i>Nanoscale Horizons</i> in 2025.

Nanoscale horizons·2026
Same journal

The Fe sites in non-precious metal nanocatalysts toward efficient water oxidation.

Nanoscale horizons·2026
Same journal

Bimetallic Cu/Ni-doped porous carbon fibers as high-performance adsorbents for organic dyes.

Nanoscale horizons·2026
See all related articles

Related Experiment Video

Updated: Jan 17, 2026

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
09:26

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

4.8K

DNA computing: DNA circuits and data storage.

Hang Xu1, Yifan Yu1, Peixin Li1

  • 1College of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Chemistry and Biomedicine Innovation Center, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210023, China. ytian@nju.edu.cn.

Nanoscale Horizons
|September 15, 2025
PubMed
Summary
This summary is machine-generated.

DNA computing offers a novel approach to computation, leveraging molecular reactions for high parallelism, efficient storage, and low energy consumption. This technology shows promise for solving complex problems intractable for traditional computers.

More Related Videos

Design and Synthesis of a Reconfigurable DNA Accordion Rack
07:44

Design and Synthesis of a Reconfigurable DNA Accordion Rack

Published on: August 15, 2018

7.5K
Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks
07:50

Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks

Published on: November 25, 2015

14.9K

Related Experiment Videos

Last Updated: Jan 17, 2026

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
09:26

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

4.8K
Design and Synthesis of a Reconfigurable DNA Accordion Rack
07:44

Design and Synthesis of a Reconfigurable DNA Accordion Rack

Published on: August 15, 2018

7.5K
Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks
07:50

Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks

Published on: November 25, 2015

14.9K

Area of Science:

  • Biotechnology
  • Computer Science
  • Computational Biology

Background:

  • Computation is crucial for social development, with volume, speed, and accuracy being key factors.
  • Traditional computing methods face limitations in handling certain complex problems.
  • Emerging technologies like quantum, photonic, and DNA computing aim to overcome these limitations.

Purpose of the Study:

  • To provide an overview of the theoretical foundations of DNA computing.
  • To highlight the advantages of DNA computing over traditional methods.
  • To assess the current development and future potential of DNA computing.

Main Methods:

  • Review of theoretical foundations of DNA computing.
  • Analysis of DNA computing's advantages: high parallelism, efficient storage, and low energy consumption.
  • Assessment of current developments in DNA circuits and DNA information storage.

Main Results:

  • DNA computing utilizes spontaneous DNA reactions for computation, enabling high parallelism.
  • It offers significant advantages over traditional computing, including efficient data storage and reduced energy consumption.
  • DNA computing is particularly suited for solving complex problems, including NP-hard problems.

Conclusions:

  • DNA computing presents a unique and powerful computational model.
  • Its inherent advantages position it as a viable solution for high-complexity computational challenges.
  • Further development in DNA circuits and information storage will drive the future of DNA computing.