Data Storage Based on DNA

Yang

et al. 2021

Small

DNA origami has been widely used as a modular platform for condensation of functional molecules to assemble optical, electronic, and biological components. However, the heterogeneous condensation with greater diversities in chemical composition templated with DNA origami is still challenging. Herein, a programmable deposition method is developed to precisely condense silver–silica nanohybrids on DNA origami templates. First, the site‐specific metallization of Ag is achieved by thiol group‐initiated silver reduction at the designed areas of DNA origami. Next, cysteamine is used to selectively modify the condensed Ag surface with positively charged amino groups for creating an electronically different environment for site‐specific placement of silica by a modified Stöber method. Using these strategies, customized patterning of both silver and silica on tubular and rectangular DNA origami nanostructures is successfully achieved with nanoscale spatial resolution. These findings will greatly facilitate the development of DNA nanotechnology‐based bottom‐up nanofabrication.

Section: Doi: 101002/smll202103877mentioning

confidence: 99%

Programmable and Site‐Specific Patterning on DNA Origami Templates with Heterogeneous Condensation of Silver and Silica

Zhao

Yang

et al. 2021

Small

“…The basic process of DNA data storage includes encoding the digital information into DNA sequences (Encoding), writing the sequences into DNA (Writing), storing them through physical or biological methods (Store), achieving selective retrieval (Retrieve), reading the DNA sequences (Reading) and decoding them into original digital information (Decoding). [ 4,52 ]…”

Section: Synthetic Dna For Information Storagementioning

confidence: 99%

Section: Synthetic Dna For Information Storagementioning

confidence: 99%

Toward Smart Information Processing with Synthetic DNA Molecules

Chu

Macromol. Rapid Commun.

Wang

et al. 2021

Self Cite

DNA, a biological macromolecule, is a naturally evolved information material. From the structural point of view, an individual DNA strand can be considered as a chain of data with its bases working as single units. For decades, due to the high biochemical stability, large information storage capacity, and high recognition specificity, DNA has been recognized as an attractive material for information processing. Especially, the chemical synthesis strategies and DNA sequencing techniques have been rapidly developed recently, further enabling encoding information with synthetic DNA molecules. Herein, recent progresses are summarized on information processing based on synthetic DNA molecules from three aspects including information storage, computation, and encryption, and proposed the challenges and future development directions.

“…Information processing and data storage are core themes in present‐day “digital” society. [ 1 ] However, the current computing and data storage modes, together with the limitations of manufacturing technology, are among the biggest challenges preventing a fully sustainably “digital” life in the future. Therefore, it is imperative to explore new ways of computing that process information more efficiently, and DNA computing is rapidly emerging toward this goal.…”

Section: Introductionmentioning

confidence: 99%

DNA Computing: Principle, Construction, and Applications in Intelligent Diagnostics

et al. 2021

Small Structures

Demands on faster information processing speed and denser data storage are catalyzing new computation modes. DNA, as an important biomolecule that carries genetic information, has shown its potential in information processing and storage due to its predictable base pairings and nanoscale size for programmable and high‐throughput coding, as well as computing. More importantly, DNA also plays key biological roles, including regulating gene expression and monitoring biochemical reactions in the cells. When these capabilities are combined, the result is the development of new fields of DNA computing in biology and biomedicine. Herein, the most recent and important developments in DNA‐based computing for biomedical applications are presented, mainly from the perspective of biosensing related to diagnostics. The design and implementation of DNA computing systems from all stages in the pipeline are also discussed. The aim is to present DNA computing as a serious tool for intelligent diagnostics.