Role of Pseudoisocytidine Tautomerization in Triplex-Forming Oligonucleotides: In Silico and in Vitro Studies

Electronic and Nuclear Quantum Effects on Proton Transfer Reactions of Guanine-Thymine (G-T) Mispairs Using Combined Quantum Mechanical/Molecular Mechanical and Machine Learning Potentials

Rare tautomeric forms of nucleobases can lead to Watson-Crick-like (WC-like) mispairs in DNA, but the process of proton transfer is fast and difficult to detect experimentally. NMR studies show evidence for the existence of short-time WC-like guanine-thymine (G-T) mispairs; however, the mechanism of proton transfer and the degree to which nuclear quantum effects play a role are unclear. We use a B-DNA helix exhibiting a wGT mispair as a model system to study tautomerization reactions. We perform ab initio (PBE0/6-31G*) quantum mechanical/molecular mechanical (QM/MM) simulations to examine the free energy surface for tautomerization. We demonstrate that while the ab initio QM/MM simulations are accurate, considerable sampling is required to achieve high precision in the free energy barriers. To address this problem, we develop a QM/MM machine learning potential correction (QM/MM-ΔMLP) that is able to improve the computational efficiency, greatly extend the accessible time scales of the simulations, and enable practical application of path integral molecular dynamics to examine nuclear quantum effects. We find that the inclusion of nuclear quantum effects has only a modest effect on the mechanistic pathway but leads to a considerable lowering of the free energy barrier for the GT*⇌G*T equilibrium. Our results enable a rationalization of observed experimental data and the prediction of populations of rare tautomeric forms of nucleobases and rates of their interconversion in B-DNA.

Recent Advancements in Development and Therapeutic Applications of Genome-Targeting Triplex-Forming Oligonucleotides and Peptide Nucleic Acids

Recent developments in artificial nucleic acid and drug delivery systems present possibilities for the symbiotic engineering of therapeutic oligonucleotides, such as antisense oligonucleotides (ASOs) and small interfering ribonucleic acids (siRNAs). Employing these technologies, triplex-forming oligonucleotides (TFOs) or peptide nucleic acids (PNAs) can be applied to the development of symbiotic genome-targeting tools as well as a new class of oligonucleotide drugs, which offer conceptual advantages over antisense as the antigene target generally comprises two gene copies per cell rather than multiple copies of mRNA that are being continually transcribed. Further, genome editing by TFOs or PNAs induces permanent changes in the pathological genes, thus facilitating the complete cure of diseases. Nuclease-based gene-editing tools, such as zinc fingers, CRISPR-Cas9, and TALENs, are being explored for therapeutic applications, although their potential off-target, cytotoxic, and/or immunogenic effects may hinder their in vivo applications. Therefore, this review is aimed at describing the ongoing progress in TFO and PNA technologies, which can be symbiotic genome-targeting tools that will cause a near-future paradigm shift in drug development.

Supernatural: Artificial Nucleobases and Backbones to Program Hybridization-Based Assemblies and Circuits

The specificity and predictability of hybridization make oligonucleotides a powerful platform to program assemblies and networks with logic-gated responses, an area of research which has grown into a field of its own. While the field has capitalized on the commercial availability of DNA oligomers with its four canonical nucleobases, there are opportunities to extend the capabilities of the hardware with unnatural nucleobases and other backbones. This Topical Review highlights nucleobases that favor hybridizations that are empowering for assemblies and networks as well as two chiral XNAs than enable orthogonal hybridization networks.

Triplex-forming properties and enzymatic incorporation of a base-modified nucleotide capable of duplex DNA recognition at neutral pH

The sequence-specific recognition of duplex DNA by unmodified parallel triplex-forming oligonucleotides is restricted to low pH conditions due to a necessity for cytosine protonation in the third strand. This has severely restricted their use as gene-targeting agents, as well as for the detection and/or functionalisation of synthetic or genomic DNA. Here I report that the nucleobase 6-amino-5-nitropyridin-2-one (Z) finally overcomes this constraint by acting as an uncharged mimic of protonated cytosine. Synthetic TFOs containing the nucleobase enabled stable and selective triplex formation at oligopurine-oligopyrimidine sequences containing multiple isolated or contiguous GC base pairs at neutral pH and above. Moreover, I demonstrate a universal strategy for the enzymatic assembly of Z-containing TFOs using its commercially available deoxyribonucleotide triphosphate. These findings seek to improve not only the recognition properties of TFOs but also the cost and/or expertise associated with their chemical syntheses.

The 2-Aminopyridine Nucleobase Improves Triple-Helical Recognition of RNA and DNA When Used Instead of Pseudoisocytosine in Peptide Nucleic Acids

Pseudoisocytosine (J), a neutral analogue of protonated cytosine, is currently the gold standard modified nucleobase in peptide nucleic acids (PNAs) for the formation of J·G-C triplets that are stable at physiological pH. This study shows that triple-helical recognition of RNA and DNA is significantly improved by using 2-aminopyridine (M) instead of J. The positively charged M forms 3-fold stronger M+·G-C triplets than J with uncompromised sequence selectivity. Replacement of six Js with Ms in a PNA 9-mer increased its binding affinity by ∼2 orders of magnitude. M-modified PNAs prefer binding double-stranded RNA over DNA and disfavor off-target binding to single-stranded nucleic acids. Taken together, the results show that M is a promising modified nucleobase that significantly improves triplex-forming PNAs and may provide breakthrough developments for therapeutic and biotechnology applications.

Rational Design of RNA Editing Guide Strands: Cytidine Analogs at the Orphan Position

Adenosine Deaminases Acting on RNA (ADARs) convert adenosine to inosine in double stranded RNA. Human ADARs can be directed to predetermined target sites in the transcriptome by complementary guide strands, allowing for the correction of disease-causing mutations at the RNA level. Here we use structural information available for ADAR2-RNA complexes to guide the design of nucleoside analogs for the position in the guide strand that contacts a conserved glutamic acid residue in ADARs (E488 in human ADAR2), which flips the adenosine into the ADAR active site for deamination. Mutating this residue to glutamine (E488Q) results in higher activity because of the hydrogen bond donating ability of Q488 to N3 of the orphan cytidine on the guide strand. We describe the evaluation of cytidine analogs for this position that stabilize an activated conformation of the enzyme-RNA complex and increase catalytic rate for deamination by the wild-type enzyme. A new crystal structure of ADAR2 bound to duplex RNA bearing a cytidine analog revealed a close contact between E488, stabilized by an additional hydrogen bond and altered charge distribution when compared to cytidine. In human cells and mouse primary liver fibroblasts, this single nucleotide modification increased directed editing yields when compared to an otherwise identical guide oligonucleotide. Our results show that modification of the guide RNA can mimic the effect of hyperactive mutants and advance the approach of recruiting endogenous ADARs for site-directed RNA editing.

Unnatural bases for recognition of noncoding nucleic acid interfaces

The notion of using synthetic heterocycles instead of the native bases to interface with DNA and RNA has been explored for nearly 60 years. Unnatural bases compatible with the DNA/RNA coding interface have the potential to expand the genetic code and co-opt the machinery of biology to access new macromolecular function; accordingly, this body of research is core to synthetic biology. While much of the literature on artificial bases focuses on code expansion, there is a significant and growing effort on docking synthetic heterocycles to noncoding nucleic acid interfaces; this approach seeks to illuminate major processes of nucleic acids, including regulation of transcription, translation, transport, and transcript lifetimes. These major avenues of research at the coding and noncoding interfaces have in common fundamental principles in molecular recognition. Herein, we provide an overview of foundational literature in biophysics of base recognition and unnatural bases in coding to provide context for the developing area of targeting noncoding nucleic acid interfaces with synthetic bases, with a focus on systems developed through iterative design and biophysical study.

Assessing Oligonucleotide Binding to Double-Stranded DNA

Sequence-specific targeting of double-stranded DNA (dsDNA) using synthetic oligonucleotides (ONs) has been under investigation in different therapeutic approaches. Several methods can be used to evaluate ONs effect and binding capacity to their target sequence. Here we describe some of the methods, which have been frequently used for assessing ONs binding to dsDNA.

Modeling and Simulation of Oligonucleotide Hybrids: Outlining a Strategy

Molecular dynamics simulations with a state-of-the-art force field provide an atomistic detailed description of the structural and thermodynamic features of biomolecules. Effects of chemical modifications and of the environment such as sequence, solvent, and ionic strength can explicitly be taken into account. Molecular simulation techniques can also provide insight in change in binding affinity, in protonation (pK_a shift) and tautomeric propensity due to changes in the environment or in the molecular system. The quality and reliability of a simulation depend on the quality of the force field and on the reproducibility of the data, and validation depends on the availability of suitable experimental data. Here, we describe the workflow to investigate oligonucleotide hybrids using molecular simulation including hardware and software information.