Information Density Enhancement Using Lossy Compression in DNA Data Storage.

This study develops two deoxyribonucleic acid (DNA) lossy compression models, Models A and B, to encode grayscale images into DNA sequences, enhance information density, and enable high-fidelity image recovery. These models, distinguished by their handling of pixel domains and interpolation methods, offer a novel approach to data storage for DNA. Model A processes pixels in overlapped domains using linear interpolation (LI), whereas Model B uses non-overlapped domains with nearest-neighbor interpolation (NNI).

Water-resistant free-standing DNA-complexed films with antioxidant and HO-responsive activity.

Water-insoluble DNA complexes are suitable for producing free-standing DNA films due to their low water sensitivity, which prevents their rapid degradation in aqueous environments. Here, we proposed two types of free-standing films that exhibit low dissolution rates in water: low molecular weight chitosan (LCS)-DNA films and phosphatidylcholine (PC)-cetyltrimethylammonium (CTMA)-DNA films. The structure and binding characteristics of the LCS-DNA and PC-CTMA-DNA complexes were investigated with UV-Vis spectroscopy and the fluorescent characteristics of daunorubicin bound to them.

DNA lattice growth with single, double, and triple double-crossover boundaries by stepwise self-assembly.

Construction of various nanostructures with nanometre-scale precision through various DNA building blocks depends upon self-assembly, base-pair complementarity and sequence programmability. During annealing, unit tiles are formed by the complementarity of base pairs in each strand. Enhancement of growth of target lattices is expected if seed lattices (i.

Multidimensional Honeycomb-like DNA Nanostructures Made of C-Motifs.

Thanks to its remarkable properties of self-assembly and molecular recognition, DNA can be used in the construction of various dimensional nanostructures to serve as templates for decorating nanomaterials with nanometer-scale precision. Accordingly, this study discusses a design strategy for fabricating such multidimensional DNA nanostructures made of simple C-motifs. One-dimensional (1D) honeycomb-like tubes (1HTs) and two-dimensional (2D) honeycomb-like lattices (2HLs) were constructed using a C-motif with an arm length of 14 nucleotides (nt) at an angle of 240° along the counterclockwise direction.

Multi-Domains in a Single Lattice Formed by DNA Self-Assembly.

Using sequence programmability and the characteristics of self-assembly, DNA has been utilized in the construction of various nanostructures and the placement of specific patterns on lattices. Even though many complex structures and patterns formed by DNA assembly have been reported, the fabrication of multi-domain patterns in a single lattice has rarely been discussed. Multi-domains possessing specifically designed patterns in a single lattice provide the possibility to generate multiple patterns that enhance the pattern density in a given single lattice.

Nanomaterial-Embedded DNA Films on 2D Frames.

Recently, 3D printing has provided opportunities for designing complex structures with ease. These printed structures can serve as molds for complex materials such as DNA and cetyltrimethylammonium chloride (CTMA)-modified DNA that have easily tunable functionalities via the embedding of various nanomaterials such as ions, nanoparticles, fluorophores, and proteins. Herein, we develop a simple and efficient method for constructing DNA flat and curved films containing water-soluble/thermochromatic dyes and di/trivalent ions and CTMA-modified DNA films embedded with organic light-emitting molecules (OLEM) with the aid of 2D/3D frames made by a 3D printer.

Interaction of Prion Peptides with DNA Structures.

Prion protein aggregation is known to be modulated by macromolecules including nucleic acids. To clarify the role of nucleic acids in PrP pathology, we investigated the interaction between nucleic acids and the prion peptide (PrP)-a synthetic prion protein model peptide resembling a portion of the human prion protein in structure and function spanning amino acid residues 106-126. We used synthetic DNA lattices and natural DNA duplexes extracted from salmon (sDNA) bound with PrP and studied their interaction using distinct physical measurements.

Construction and Configuration Analysis of Zelkova Serrata Lenticel-Like Patterns Generated through DNA Algorithmic Self-Assembly.

Multiple models and simulations have been proposed and performed to understand the mechanism of the various pattern formations existing in nature. However, the logical implementation of those patterns through efficient building blocks such as nanomaterials and biological molecules is rarely discussed. This study adopts a cellular automata model to generate simulation patterns (SPs) and experimental patterns (EPs) obtained from DNA lattices similar to the discrete horizontal brown-color line-like patterns on the bark of the Zelkova serrata tree, known as lenticels [observation patterns (OPs)].

Fibres and films made from DNA and CTMA-modified DNA embedded with gold nanorods and organic light-emitting materials.

The scaffolding of deoxyribonucleic acid (DNA) makes DNA molecules effective templates for hosting various types of nanomaterials. Recently, electrospun fibres formed by a variety of polymers have begun to see use in a number of applications, such as filtration in energy applications, insulation in thermodynamics and protein scaffolding in biomedicine. In this study, we constructed electrospun fibres and thin films made of DNA and cetyltrimethylammonium chloride (CTMA)-modified DNA (CDNA) embedded with dyes, organic light-emitting materials (OLEMs), and gold nanorods (GNRs).

Demonstration of elementary functions DNA algorithmic self-assembly.

Target-oriented cellular automata with computation are the primary challenge in the field of DNA algorithmic self-assembly in connection with specific rules. We investigate the feasibility of using the principle of cellular automata for mathematical subjects by using specific logic gates that can be implemented into DNA building blocks. Here, we connect the following five representative elementary functions: (i) enumeration of multiples of 2, 3, and 4 (demonstrated R094, R062, and R190 in 3-input/1-output logic rules); (ii) the remainder of 0 and 1 (R132); (iii) powers of 2 (R129); (iv) ceiling function for /2 and /4 (R152 and R144); and (v) analogous pattern of annihilation (R184) to DNA algorithmic patterns formed by specific rules.

Configuration Analysis of a Lizard Skin-like Pattern Formed by DNA Self-Assembly.

Nature manifests diverse and complicated patterns through efficient physical, chemical, and biological processes. One of the approaches to generate complex patterns, as well as simple patterns, is the use of the cellular automata algorithm. However, there are certain limitations to produce such patterns experimentally due to the difficulty of finding candidate programmable building blocks.

Demonstration of Arithmetic Calculations by DNA Tile-Based Algorithmic Self-Assembly.

Owing to its high information density, energy efficiency, and massive parallelism, DNA computing has undergone several advances and made significant contributions to nanotechnology. Notably, arithmetic calculations implemented by multiple logic gates such as adders and subtractors have received much attention because of their well-established logic algorithms and feasibility of experimental implementation. Although small molecules have been used to implement these computations, a DNA tile-based calculator has been rarely addressed owing to complexity of rule design and experimental challenges for direct verification.

Ternary representation of N (N = 1 or 2)-input and 1-output algorithmic self-assembly demonstrated by DNA.

Deoxyribonucleic acid (DNA) is effective for molecular computation because of its high energy efficiency, high information density, and parallel-computing capability. Although logic implementation using DNA molecules is well established in binary systems (base value of 2) via decoration of hairpin structures on DNA duplexes, systems with base values of >2 (e.g.

Calculation of π and Classification of Self-avoiding Lattices via DNA Configuration.

Numerical simulation (e.g. Monte Carlo simulation) is an efficient computational algorithm establishing an integral part in science to understand complex physical and biological phenomena related with stochastic problems.

Streptavidin-Decorated Algorithmic DNA Lattices Constructed by Substrate-Assisted Growth Method.

The ultimate goal of DNA computing is to store information at higher density and solve complex problems with less computational time and minimal error. Most algorithmic DNA lattices have been constructed using the free-solution growth (FSG) annealing method, and hairpin-embedded DNA rule tiles have been introduced in most algorithmic implementations to differentiate 0- and 1-bit information. Here, we developed streptavidin (SA)-decorated algorithmic COPY (produced line-like patterns with biotinylated 1-bit rule tiles) and XOR (triangle-like patterns) lattices constructed by a substrate-assisted growth (SAG) method and FSG.

Fabrication and Characterization of Finite-Size DNA 2D Ring and 3D Buckyball Structures.

In order to incorporate functionalization into synthesized DNA nanostructures, enhance their production yield, and utilize them in various applications, it is necessary to study their physical stabilities and dynamic characteristics. Although simulation-based analysis used for DNA nanostructures provides important clues to explain their self-assembly mechanism, structural function, and intrinsic dynamic characteristics, few studies have focused on the simulation of DNA supramolecular structures due to the structural complexity and high computational cost. Here, we demonstrated the feasibility of using normal mode analysis for relatively complex DNA structures with larger molecular weights, i.

Coupling of radiofrequency with magnetic nanoparticles treatment as an alternative physical antibacterial strategy against multiple drug resistant bacteria.

Antibiotic resistant bacteria not only affect human health and but also threatens the safety in hospitals and among communities. However, the emergence of drug resistant bacteria is inevitable due to evolutionary selection as a consequence of indiscriminate antibiotic usage. Therefore, it is necessary to develop a novel strategy by which pathogenic bacteria can be eliminated without triggering resistance.

Assembly of a tile-based multilayered DNA nanostructure.

The Watson-Crick complementarity of DNA is exploited to construct periodically patterned nanostructures, and we herein demonstrate tile-based three dimensional (3D) multilayered DNA nanostructures that incorporate two design strategies: vertical growth and horizontal layer stacking with substrate-assisted growth. To this end, we have designed a periodically holed double-double crossover (DDX) template that can be used to examine the growth of the multilayer structures in both the vertical and horizontal directions. For vertical growth, the traditional 2D double crossover (DX) DNA lattice is seeded and grown vertically from periodic holes in the DDX template.