In Vivo Polymer Mechanochemistry with Polynucleotides.

Polymer mechanochemistry utilizes mechanical force to activate latent functionalities in macromolecules and widely relies on ultrasonication techniques. Fundamental constraints of frequency and power intensity have prohibited the application of the polymer mechanochemistry principles in a biomedical context up to now, although medical ultrasound is a clinically established modality. Here, a universal polynucleotide framework is presented that allows the binding and release of therapeutic oligonucleotides, both DNA- and RNA-based, as cargo by biocompatible medical imaging ultrasound. It is shown that the high molar mass, colloidal assembly, and a distinct mechanochemical mechanism enable the force-induced release of cargo and subsequent activation of biological function in vitro and in vivo. Thereby, this work introduces a platform for the exploration of biological questions and therapeutics development steered by mechanical force.

Resonance Hyper-Raman Spectroscopy of Nucleotides and Polynucleotides.

We applied 532 nm-excited two-photon resonance hyper-Raman (RHR) spectroscopy to nucleotides (dA, dG, dT, and dC) to obtain fundamental knowledge about their spectral patterns. The RHR spectrum of each nucleotide exhibited various modes of the purine and pyrimidine rings, showing the ability to acquire the structural information on the chromophore. The band positions of the RHR spectrum and the 266 nm-excited one-photon UV-resonance Raman (UVRR) spectrum were identical, while the intensity patterns differed. The peak assignments of the RHR bands were given by analogy to the UVRR spectrum. In examining the polynucleotides, which form a double-stranded helix through intermolecular hydrogen bonds, some RHR bands were found to be available as structural markers. Moreover, several overtone and combination bands were detected above 2000 cm-1. The frequencies of dA and dG were accounted for by considering the involvement of the vibration of dA at 1579 cm-1 and that of dG at 1482 cm-1, respectively. Multiple vibronically active modes were seen for dT and dC. HR spectroscopy offers unique information on the fundamental, combination, and overtone modes of dA and dG, of which the multiple electronic states are involved in the resonance process.

Alkyne Activation in the Diversity Oriented Synthesis of sp2 -Rich Scaffolds: A Biased Library Approach for Targeting Polynucleotides (DNA/RNA).

Polynucleotides, DNA and RNA (mRNA and non-coding RNAs) are critically involved in the molecular pathways of disease. Small molecule binding interactions with polynucleotides can modify functional polynucleotide topologies and/or their interactions with proteins. Current approaches to library design (lead-like or fragment-like libraries) are based on protein-ligand interactions and often include careful consideration of the 3-dimensional orientation of binding motifs and exclude π-rich compounds (polyfused aromatics) to avoid off-target R/DNA interactions. In contrast to proteins, where π,π-interactions are weak, polynucleotides can form strong π,π-interactions with suitable π-rich ligands. To assist in designing a polynucleotide-biased library, a scaffold-divergent synthesis approach to polyfused aromatic scaffolds has been undertaken. Initial screening hits that form moderately stable polynucleotide-ligand-protein ternary complexes can be further optimized through judicious incorporation of substituents on the scaffold to increase protein-ligand interactions. An example of this approach is given for topoisomerase-1 (TOP1), generating a novel TOP1 inhibitory chemotype.

Programmable Site-Specific Functionalization of DNA Origami with Polynucleotide Brushes.

Combining surface-initiated, TdT (terminal deoxynucleotidyl transferase) catalyzed enzymatic polymerization (SI-TcEP) with precisely engineered DNA origami nanostructures (DONs) presents an innovative pathway for the generation of stable, polynucleotide brush-functionalized DNA nanostructures. We demonstrate that SI-TcEP can site-specifically pattern DONs with brushes containing both natural and non-natural nucleotides. The brush functionalization can be precisely controlled in terms of the location of initiation sites on the origami core and the brush height and composition. Coarse-grained simulations predict the conformation of the brush-functionalized DONs that agree well with the experimentally observed morphologies. We find that polynucleotide brush-functionalization increases the nuclease resistance of DONs significantly, and that this stability can be spatially programmed through the site-specific growth of polynucleotide brushes. The ability to site-specifically decorate DONs with brushes of natural and non-natural nucleotides provides access to a large range of functionalized DON architectures that would allow for further supramolecular assembly, and for potential applications in smart nanoscale delivery systems.

M6A-BiNP: predicting N6-methyladenosine sites based on bidirectional position-specific propensities of polynucleotides and pointwise joint mutual information.

N6-methyladenosine (m6A) plays an important role in various biological processes. Identifying m6A site is a key step in exploring its biological functions. One of the biggest challenges in identifying m6A sites is how to extract features comprising rich categorical information to distinguish m6A and non-m6A sites. To address this challenge, we propose bidirectional dinucleotide and trinucleotide position-specific propensities, respectively, in this paper. Based on this, we propose two feature-encoding algorithms: Position-Specific Propensities and Pointwise Mutual Information (PSP-PMI) and Position-Specific Propensities and Pointwise Joint Mutual Information (PSP-PJMI). PSP-PMI is based on the bidirectional dinucleotide propensity and the pointwise mutual information, while PSP-PJMI is based on the bidirectional trinucleotide position-specific propensity and the proposed pointwise joint mutual information in this paper. We introduce parameters α and ß in PSP-PMI and PSP-PJMI, respectively, to represent the distance from the nucleotide to its forward or backward adjacent nucleotide or dinucleotide, so as to extract features containing local and global classification information. Finally, we propose the M6A-BiNP predictor based on PSP-PMI or PSP-PJMI and SVM classifier. The 10-fold cross-validation experimental results on the benchmark datasets of non-single-base resolution and single-base resolution demonstrate that PSP-PMI and PSP-PJMI can extract features with strong capabilities to identify m6A and non-m6A sites. The M6A-BiNP predictor based on our proposed feature encoding algorithm PSP-PJMI is better than the state-of-the-art predictors, and it is so far the best model to identify m6A and non-m6A sites.

Interaction of double-stranded polynucleotide poly(A:U) with graphene/graphene oxide.

Hybrids formed by DNA/RNA and graphene family nanomaterials are considered as potentially useful multifunctional agents in biosensing and nanomedicine. In this work, we study the noncovalent interaction between double-stranded (ds) RNA, polyadenylic:polyuridylic acids (poly(A:U)) and graphene oxide/graphene (GO/Gr) using UV absorption spectroscopy and molecular dynamics (MD) simulations. RNA melting showed that relatively long ds-RNA is adsorbed onto GO (at an ionic strength of [Formula: see text]) at that a large fraction of RNA maintains the duplex structure. It was revealed that this fraction decreases over long time (during a few days), indicating a slow adsorption process of the long polymer. MD simulations showed that the adsorption of duplex (rA)[Formula: see text]: (rU)[Formula: see text] or (rA)[Formula: see text]: (rU)[Formula: see text] on graphene starts with the interaction between [Formula: see text]-systems of graphene and base pairs located at a duplex tail. In contrast to relatively long duplex (rA)[Formula: see text]: (rU)[Formula: see text] which keeps parallel arrangement along the graphene surface, the shorter one ((rA)[Formula: see text]: (rU)[Formula: see text]) always adopts a perpendicular orientation relative to graphene even in case of the initial parallel orientation. It was found out that (rA)[Formula: see text]: (rU)[Formula: see text] forms the stable hybrid with graphene keeping essential fraction of the duplex, while (rA)[Formula: see text]: (rU)[Formula: see text] demonstrates the duplex unzipping into two single strands with time. The interaction energies between adenine/uracil stacked with graphene as well between nucleotides in water environment were determined.

Gene-PROBER - a tool to design polynucleotide probes for targeting microbial genes.

Recent developments in fluorescence in situ hybridization (FISH) methods allow the detection and visualization of the genes/genomic regions of bacteria, archaea and infecting viruses at the single cell level. These methods use mixtures of polynucleotides as probes to specifically detect the target of interest. Gene-PROBER enables the design of polynucleotide mixtures for targeting genes or genomic regions in microorganisms. It has four workflows, depending on the availability of non-target sequences and the choice of probe synthesis, either by chemical synthesis or by PCR. It outputs polynucleotides that are spread along the target sequence and have similar melting properties. Therefore, such a polynucleotide mixture can be used as a single probe, in a single hybridization reaction. Gene-PROBER is a freely available web service that can be accessed at http://gene-prober.icbm.de/, and is implemented in the R language using the Shiny package.

Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations.

Ribonucleoprotein (RNP) granules are membraneless organelles (MLOs), which majorly consist of RNA and RNA-binding proteins and are formed via liquid-liquid phase separation (LLPS). Experimental studies investigating the drivers of LLPS have shown that intrinsically disordered proteins (IDPs) and nucleic acids like RNA and other polynucleotides play a key role in modulating protein phase separation. There is currently a dearth of modelling techniques which allow one to delve deeper into how polynucleotides play the role of a modulator/promoter of LLPS in cells using computational methods. Here, we present a coarse-grained polynucleotide model developed to fill this gap, which together with our recently developed HPS model for protein LLPS, allows us to capture the factors driving protein-polynucleotide phase separation. We explore the capabilities of the modelling framework with the LAF-1 RGG system which has been well studied in experiments and also with the HPS model previously. Further taking advantage of the fact that the HPS model maintains sequence specificity we explore the role of charge patterning on controlling polynucleotide incorporation into condensates. With increased charge patterning we observe formation of structured or patterned condensates which suggests the possible roles of polynucleotides in not only shifting the phase boundaries but also introducing microscopic organization in MLOs.

Tunable multiphase dynamics of arginine and lysine liquid condensates.

Liquid phase separation into two or more coexisting phases has emerged as a new paradigm for understanding subcellular organization, prebiotic life, and the origins of disease. The design principles underlying biomolecular phase separation have the potential to drive the development of novel liquid-based organelles and therapeutics, however, an understanding of how individual molecules contribute to emergent material properties, and approaches to directly manipulate phase dynamics are lacking. Here, using microrheology, we demonstrate that droplets of poly-arginine coassembled with mono/polynucleotides have approximately 100 fold greater viscosity than comparable lysine droplets, both of which can be finer tuned by polymer length. We find that these amino acid-level differences can drive the formation of coexisting immiscible phases with tunable formation kinetics and can be further exploited to trigger the controlled release of droplet components. Together, this work provides a novel mechanism for leveraging sequence-level components in order to regulate droplet dynamics and multiphase coexistence.

Biomolecular uptake effects on chitosan/tripolyphosphate micro- and nanoparticle stability.

Colloidal chitosan/tripolyphosphate (TPP) particles have attracted significant attention as potential delivery vehicles for drugs, genes and vaccines. Yet, there have been several fundamental studies that showed these particles to disintegrate at physiological pH and ionic strength levels. To reconcile these findings with the published drug, gene and vaccine delivery research where chitosan/TPP particle disintegration was not reported, it has been postulated that the particles could be stabilized by their bioactive payloads. To test this hypothesis, here we examine whether the association of chitosan/TPP particles with model anionic proteins, α-lactalbumin (α-LA) and bovine serum albumin (BSA), and polynucleotides (DNA) enhances chitosan/TPP particle stability at physiological ionic strengths, using 150 mM NaCl (pH 5.5) and 1× PBS (pH 6.0) as the dissolution media. Light scattering and UV-vis spectroscopy revealed that anionic protein uptake had no impact on particle stability, likely due to the relatively weak protein/particle binding at near-physiological ionic strengths, which caused the protein to be rapidly released. This result occurred regardless of whether the protein was loaded during or after particle formation. Conversely, DNA uptake (at least at some compositions) increased the chitosan fractions persisting in a complexed/particulate form in model dissolution media, with the DNA remaining largely complexed to the chitosan at all investigated conditions. Collectively, these findings suggest that, while most bioactive payloads do not interact with chitosan strongly enough to stabilize chitosan/TPP particles, these chitosan particles can be stabilized to dissolution through the incorporation of polyanions.