Restriction Enzymes as a Target for DNA-Based Sensing and Structural Rearrangement

Comparison of two methods of sperm- and testis-mediated gene transfer in production of transgenic animals: A systematic review

Transgenic (Tg) animal technology is one of the growing areas in biology. Various Tg technologies, each with its own advantages and disadvantages, are available for generating Tg animals. These include zygote microinjection, electroporation, viral infection, embryonic stem cell or spermatogonial stem cell-mediated production of Tg animals, sperm-mediated gene transfer (SMGT), and testis-mediated gene transfer (TMGT). However, there are currently no comprehensive studies comparing SMGT and TMGT methods, selecting appropriate gene delivery carriers (such as nanoparticles and liposomes), and determining the optimal route for gene delivery (SMGT and TMGT) for producing Tg animal. Here we aim to provide a comprehensive assessment comparing SMGT and TMGT methods, and to introduce the best carriers and gene transfer methods to sperm and testis to generate Tg animals in different species. From 2010 to 2022, 47 studies on SMGT and 25 studies on TMGT have been conducted. Mice and rats were the most commonly used species in SMGT and TMGT. Regarding the SMGT approach, nanoparticles, streptolysin-O, and virus packaging were found to be the best gene transfer methods for generating Tg mice. In the TMGT method, the best gene transfer methods for generating Tg mice and rats were virus packaging, dimethyl sulfoxide, electroporation, and liposome. Our study has shown that the efficiency of producing Tg animals varies depending on the species, gene carrier, and method of gene transfer.

Using Single-Molecule FRET to Evaluate DNA Nanodevices at Work

The observation of DNA nanodevices at a single molecule (i.e., device) level and in real time provides rich information that is typically masked in ensemble measurements. Single-molecule fluorescence resonance energy transfer (smFRET) offers a means to directly follow dynamic conformational or compositional changes that DNA nanodevices undergo while operating, thereby retrieving insights critical for refining them toward optimal function. To be successful, smFRET measurements require careful execution and meticulous data analysis for robust statistics. Here we outline the elemental steps for smFRET experiments on DNA nanodevices, starting from microscope slide preparation for single-molecule observation to data acquisition and analysis.

Characterization of the Type 2 L-Asparaginase Gene in Thermohalophilic Bacterial from Wawolesea Hot Springs, Southeast Sulawesi, Indonesia

<b>Background and Objective:</b> Type 2 L-asparaginase enzyme can be used as a cancer therapy agent and prevent acrylamide formation in food products. Enzymes produced by thermohalophilic bacteria can provide high activity at high temperatures so they are needed on an industrial scale. Hence, this study aims to determine the characteristics of the gene encoding type 2 L-asparaginase enzyme in the thermohalophilic bacterial isolate CAT3.4. <b>Materials and Methods:</b> This research is a type of exploratory research. The characteristics of the gene encoding type 2 L-asparaginase were determined using the PCR technique using the primer pairs AsnBac2-F2 (5'-CTCACGGGAATCTCCATAACTC-3') and AsnBac2-R2 (5'CAGCGATGTAACAGACAGCATC-3'). The characterization process was carried out in stages: Isolation of genomic DNA using a modified alkali-lysis method, nucleotide and protein similarity analysis using BLASTn analysis on the NCBI website, construction of a phylogenetic tree using the MEGAX program, restriction enzyme mapping and amino acid analysis using the Bioedit program. <b>Results:</b> The characterization results showed that the PCR product has a size of 1594 bp with a CDS of 1128 bp, has a similarity value of 100% with <i>Bacillus subtilis</i>, has seven restriction enzymes as molecular markers for the type 2 L-asparaginase gene at the species level: <i>Bsr</i>GI, <i>Dra</i>I, <i>Eco</i>RV, <i>Hind</i>III, <i>Hpy</i>CH4IV , <i>Ssp</i>I and <i>Tai</i>I, have dominant hydrophilic regions and are in the same subclass as <i>Bacillus subtilis</i> strain GOT9. <b>Conclusion:</b> The target gene was similar to the gene encoding type 2 L-asparaginase from <i>Bacillus subtilis</i> with a max identity of 98.85%, query coverage value of 100% and E-value of 0.

Sensitive electrochemical detection of polymorphisms in IL6 and TGFβ1 genes from ovarian cancer DNA patients using EcoRI and DNA hairpin-modified gold electrodes

Two electrochemical bioplatforms were prepared based on thiolated hairpin DNA probes tethered to AuNP-modified screen-printed electrodes to detect T > G and T > C polymorphisms, namely rs1880269 and rs1800469, present the interleukin-6 (IL6) and transforming growth factor β1 (TGFβ1) genes. The electrochemical readout was ensured by the detection of the double-stranded DNA using methylene blue as a redox probe after treatment by EcoRI restrictase. The main parameters influencing the analytical response such as the thiolated DNA probe concentration, incubation time with electrode, DNA hybridization time, EcoRI enzyme load, and its cleavage time were optimized based on the current intensity and signal-to-blank (S/B) ratio as selection criteria. Using spiked buffer solutions, the IL6 and TGFβ1 E-bioplatforms display wide ranges of linearity (1 × 10²-1 × 10⁸ fM and 5 × 10¹-1 × 10⁵ fM, respectively) and limits of detection (47.9 fM and 16.6 fM, respectively). The two bioelectrodes have also good discrimination toward 1-mismatched, two mismatched, and non-complementary sequences, when they were used 30-fold higher than the target sequences. More importantly, the two bioplatforms successfully detected the single nucleotide polymorphisms (SNPs) in scarcely diluted genomic DNA, collected from 52 donors, and showed they can reliably distinguish between heterozygous (TG and TC genotypes) and homozygous (GG and CC genotypes) patients with  respect to the control subjects (TT genotype), where the differences are statistically highly significant (p-value < 0.0001). Thus, the designed devices could be used to conduct large cohort studies targeting these mutations or extended to other SNPs.

RE-SELEX: restriction enzyme-based evolution of structure-switching aptamer biosensors

Aptamers are widely employed as recognition elements in small molecule biosensors due to their ability to recognize small molecule targets with high affinity and selectivity. Structure-switching aptamers are particularly promising for biosensing applications because target-induced conformational change can be directly linked to a functional output. However, traditional evolution methods do not select for the significant conformational change needed to create structure-switching biosensors. Modified selection methods have been described to select for structure-switching architectures, but these remain limited by the need for immobilization. Herein we describe the first homogenous, structure-switching aptamer selection that directly reports on biosensor capacity for the target. We exploit the activity of restriction enzymes to isolate aptamer candidates that undergo target-induced displacement of a short complementary strand. As an initial demonstration of the utility of this approach, we performed selection against kanamycin A. Four enriched candidate sequences were successfully characterized as structure-switching biosensors for detection of kanamycin A. Optimization of biosensor conditions afforded facile detection of kanamycin A (90 μM to 10 mM) with high selectivity over three other aminoglycosides. This research demonstrates a general method to directly select for structure-switching biosensors and can be applied to a broad range of small-molecule targets.

Optimizing enzymatic catalysts for rapid turnover of substrates with low enzyme sequestration

Enzymes are central to both metabolism and information processing in cells. In both cases, an enzyme's ability to accelerate a reaction without being consumed in the reaction is crucial. Nevertheless, enzymes are transiently sequestered when they bind to their substrates; this sequestration limits activity and potentially compromises information processing and signal transduction. In this article, we analyse the mechanism of enzyme-substrate catalysis from the perspective of minimizing the load on the enzymes through sequestration, while maintaining at least a minimum reaction flux. In particular, we ask: which binding free energies of the enzyme-substrate and enzyme-product reaction intermediates minimize the fraction of enzymes sequestered in complexes, while sustaining a certain minimal flux? Under reasonable biophysical assumptions, we find that the optimal design will saturate the bound on the minimal flux and reflects a basic trade-off in catalytic operation. If both binding free energies are too high, there is low sequestration, but the effective progress of the reaction is hampered. If both binding free energies are too low, there is high sequestration, and the reaction flux may also be suppressed in extreme cases. The optimal binding free energies are therefore neither too high nor too low, but in fact moderate. Moreover, the optimal difference in substrate and product binding free energies, which contributes to the thermodynamic driving force of the reaction, is in general strongly constrained by the intrinsic free-energy difference between products and reactants. Both the strategies of using a negative binding free-energy difference to drive the catalyst-bound reaction forward and of using a positive binding free-energy difference to enhance detachment of the product are limited in their efficacy.

Understanding the fate of DNA nanostructures inside the cell

DNA nanostructures are highly tunable and responsive materials for diagnostic and healthcare-related applications, but their intracellular fate remains largely unknown.

Transducing Protease Activity into DNA Output for Developing Smart Bionanosensors

DNA can process information through sequence-based reorganization but cannot typically receive input information from most biological processes and translate that into DNA compatible language. Coupling DNA to a substrate responsive to biological events can address this limitation. A two-component sensor incorporating a chimeric peptide-DNA substrate is evaluated here as a protease-to-DNA signal convertor which transduces protease activity through DNA gates that discriminate between different input proteases. Acceptor dye-labeled peptide-DNAs are assembled onto semiconductor quantum dot (QD) donors as the input gate. Addition of trypsin or chymotrypsin cleaves their cognate peptide sequence altering the efficiency of Förster resonance energy transfer (FRET) with the QD and frees a DNA output which interacts with a tetrahedral output gate. Downstream output gate rearrangement results in FRET sensitization of a new acceptor dye. Following characterization of component assembly and optimization of individual steps, sensor ability to discriminate between the two proteases is confirmed along with effects from joint interactions where potential for cross-talk is highest. Processing multiple bits of information for a sensing outcome provides more confidence than relying on a single change especially for the discrimination between different targets. Coupling other substrates to DNA that respond similarly could help target other types of enzymes.