Information transfer from peptide nucleic acids to RNA by template-directed syntheses.

Peptide nucleic acids (PNAs) are uncharged analogs of DNA and RNA in which the ribose-phosphate backbone is substituted by a backbone held together by amide bonds. PNAs are interesting as models of alternative genetic systems because they form potentially informational base paired helical structures. A PNA C10 oligomer has been shown to act as template for efficient formation of oligoguanylates from activated guanosine ribonucleotides. In a previous paper we used heterosequences of DNA as templates in sequence-dependent polymerization of PNA dimers. In this paper we show that information can be transferred from PNA to RNA. We describe the reactions of activated mononucleotides on heterosequences of PNA. Adenylic, cytidylic and guanylic acids were incorporated into the products opposite their complement on PNA, although less efficiently than on DNA templates.     

DNA G-quadruplexes for native mass spectrometry in potassium: a database of validated structures in electrospray-compatible conditions

G-quadruplex DNA structures have become attractive drug targets, and native mass spectrometry can provide detailed characterization of drug binding stoichiometry and affinity, potentially at high throughput. However, the G-quadruplex DNA polymorphism poses problems for interpreting ligand screening assays. In order to establish standardized MS-based screening assays, we studied 28 sequences with documented NMR structures in (usually ∼100 mM) potassium, and report here their circular dichroism (CD), melting temperature (T_m), NMR spectra and electrospray mass spectra in 1 mM KCl/100 mM trimethylammonium acetate. Based on these results, we make a short-list of sequences that adopt the same structure in the MS assay as reported by NMR, and provide recommendations on using them for MS-based assays. We also built an R-based open-source application to build and consult a database, wherein further sequences can be incorporated in the future. The application handles automatically most of the data processing, and allows generating custom figures and reports. The database is included in the g4dbr package (https://github.com/EricLarG4/g4dbr) and can be explored online (https://ericlarg4.github.io/G4_database.html).     

Modulation of DNA and RNA by PNA

Peptide nucleic acid (PNA), a synthetic DNA mimic that is devoid of the (deoxy)ribose-phosphate backbone yet still perfectly retains the ability to recognize natural nucleic acids in a sequence-specific fashion, can be employed as a tool to modulate gene expressions via several different mechanisms. The unique strength of PNA compared to other oligonucleotide analogs is its ability to bind to nucleic acid targets with secondary structures such as double-stranded and quadruplex DNA as well as RNA. This digest aims to introduce general readers to the advancement in the area of modulation of DNA/RNA functions by PNA, its current status and future research opportunities, with emphasis on recent progress in new targeting modes of structured DNA/RNA by PNA and PNA-mediated gene editing.     

Information transfer from DNA to peptide nucleic acids by template-directed syntheses.

Peptide nucleic acids (PNAs) are analogs of nucleic acids in which the ribose-phosphate backbone is replaced by a backbone held together by amide bonds. PNAs are interesting as models of alternative genetic systems because they form potentially informational base paired helical structures. Oligocytidylates have been shown to act as templates for formation of longer oligomers of G from PNA G2 dimers. In this paper we show that information can be transferred from DNA to PNA. DNA C4T2C4 is an efficient template for synthesis of PNA G4A2G4 using G2 and A2 units as substrates. The corresponding synthesis of PNA G4C2G4 on DNA C4G2C4 is less efficient. Incorporation of PNA T2 into PNA products on DNA C4A2C4 is the least efficient of the three reactions. These results, obtained using PNA dimers as substrates, parallel those obtained using monomeric activated nucleotides.     

Peptide nucleic acids: deoxyribonucleic acid mimics with a peptide backbone

This tutorial briefly describes a new class of synthetic biopolymer, which is referred to as peptide nucleic acid (PNA). In PNA, individual nucleobases are linked to an achiral neutral peptide backbone. PNA exhibits the hybridization characteristic (e.g., Watson—Crick duplex formation) of DNA. The achiral peptide backbone provides similar interbase distances as natural DNA, and adequate flexibility to permit base pair interactions with complementary RNA or DNA strands. Several potential applications of PNA oligomers in biotechnology are suggested. These include the use of PNAs as a probe for specific recognition of a DNA or RNA sequence selective, purification of nucleic acids via designed high affinity binding to PNA, screening for DNA mutations, and as possible therapeutic agents.     

ASHIC: hierarchical Bayesian modeling of diploid chromatin contacts and structures

The recently developed Hi-C technique has been widely applied to map genome-wide chromatin interactions. However, current methods for analyzing diploid Hi-C data cannot fully distinguish between homologous chromosomes. Consequently, the existing diploid Hi-C analyses are based on sparse and inaccurate allele-specific contact matrices, which might lead to incorrect modeling of diploid genome architecture. Here we present ASHIC, a hierarchical Bayesian framework to model allele-specific chromatin organizations in diploid genomes. We developed two models under the Bayesian framework: the Poisson-multinomial (ASHIC-PM) model and the zero-inflated Poisson-multinomial (ASHIC-ZIPM) model. The proposed ASHIC methods impute allele-specific contact maps from diploid Hi-C data and simultaneously infer allelic 3D structures. Through simulation studies, we demonstrated that ASHIC methods outperformed existing approaches, especially under low coverage and low SNP density conditions. Additionally, in the analyses of diploid Hi-C datasets in mouse and human, our ASHIC-ZIPM method produced fine-resolution diploid chromatin maps and 3D structures and provided insights into the allelic chromatin organizations and functions. To summarize, our work provides a statistically rigorous framework for investigating fine-scale allele-specific chromatin conformations. The ASHIC software is publicly available at https://github.com/wmalab/ASHIC.     

De novo 3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures

The rapid spread of COVID-19 is motivating development of antivirals targeting conserved SARS-CoV-2 molecular machinery. The SARS-CoV-2 genome includes conserved RNA elements that offer potential small-molecule drug targets, but most of their 3D structures have not been experimentally characterized. Here, we provide a compilation of chemical mapping data from our and other labs, secondary structure models, and 3D model ensembles based on Rosetta''s FARFAR2 algorithm for SARS-CoV-2 RNA regions including the individual stems SL1-8 in the extended 5′ UTR; the reverse complement of the 5′ UTR SL1-4; the frameshift stimulating element (FSE); and the extended pseudoknot, hypervariable region, and s2m of the 3′ UTR. For eleven of these elements (the stems in SL1–8, reverse complement of SL1–4, FSE, s2m and 3′ UTR pseudoknot), modeling convergence supports the accuracy of predicted low energy states; subsequent cryo-EM characterization of the FSE confirms modeling accuracy. To aid efforts to discover small molecule RNA binders guided by computational models, we provide a second set of similarly prepared models for RNA riboswitches that bind small molecules. Both datasets (‘FARFAR2-SARS-CoV-2’, https://github.com/DasLab/FARFAR2-SARS-CoV-2; and ‘FARFAR2-Apo-Riboswitch’, at https://github.com/DasLab/FARFAR2-Apo-Riboswitch’) include up to 400 models for each RNA element, which may facilitate drug discovery approaches targeting dynamic ensembles of RNA molecules.     

Ned Seeman and the prediction of amino acid-basepair motifs mediating protein-nucleic acid recognition

Fifty years ago, the first atomic-resolution structure of a nucleic acid double helix, the mini-duplex (ApU)₂, revealed details of basepair geometry, stacking, sugar conformation, and backbone torsion angles, thereby superseding earlier models based on x-ray fiber diffraction, including the original DNA double helix proposed by Watson and Crick. Just 3 years later, in 1976, Ned Seeman, John Rosenberg, and Alex Rich leapt from their structures of mini-duplexes and H-bonding motifs between bases in small-molecule structures and transfer RNA to predicting how proteins could sequence specifically recognize double helix nucleic acids. They proposed interactions between amino acid side chains and nucleobases mediated by two hydrogen bonds in the major or minor grooves. One of these, the arginine-guanine pair, emerged as the most favored amino acid-base interaction in experimental structures of protein-nucleic acid complexes determined since 1986. In this brief review we revisit the pioneering work by Seeman et al. and discuss the importance of the arginine-guanine pairing motif.     

Structural basis for the unusual properties of 2',5' nucleic acids and their complexes with RNA and DNA

To provide insights into the unusual properties of 2',5' nucleic acids (iso nucleic acids), that includes their rejection by Nature as information molecules, modeling studies have been carried out to examine if they indeed possess the stereochemical ability to form helical duplexes and triplexes, just as their 3',5' linked constitutional isomers. The results show that the formation of helical duplexes with 2',5' linkages demands a mandatory displacement of the Watson and Crick base pairs from the helical axis, as a direct consequence of the lateral shift of the sugar-phosphate backbone from the periphery towards the interior of the helix. Thus, both duplexes and triplexes formed with a 2',5'-sugar-phosphate backbone possess this intrinsic trait, manifested normally only in A type duplexes of DNA and RNA. It was found that only a 10-fold symmetric parallel triplex with isomorphous T.AT triplets is stereochemically favorable for isoDNA with 'extended' nucleotide repeats, unlike the 12-fold symmetric triplex favored by DNA. The wider nature of a 12-fold triplex, concomitant with mandatory slide requirement for helix formation in isoDNA, demands even larger displacement, especially with 'extended' nucleotide structural repeats, thereby violating symmetry. However, a symmetric triplex possessing higher twist, can be naturally formed for isoDNA with a 'compact' nucleotide repeat. Two nanosecond molecular dynamics simulation of a 2',5'-B DNA duplex, formed with an intrinsic base pair displacement of -3.3 A, does not seem to favor a total transition to a typical A type duplex, although enhanced slide, X-displacement, decrease in helical rise and narrowing of the major groove during simulation seem to indicate a trend. Modeling of the interaction between the chimeric isoDNA.RNA duplex and E. coli RNase H has provided a structural basis for the inhibitory action of the enzyme. Interaction of residues Gln 80, Trp 81, Asn 16 and Lys 99, of E. coli RNase H with DNA of the DNA.RNA hybrid, are lost when the DNA backbone is replaced by isoDNA. Based on modeling and experimental observations, it is argued that 2',5' nucleic acids possess restricted conformational flexibility for helical polymorphism. The inability of isoDNA to favor the biologically relevant B form duplex and the associated topological inadequacies related to nucleic acid compaction and interactions with regulatory proteins may be some of the factors that might have led to the rejection of 2',5' links.     

CoCoNet—boosting RNA contact prediction by convolutional neural networks

Co-evolutionary models such as direct coupling analysis (DCA) in combination with machine learning (ML) techniques based on deep neural networks are able to predict accurate protein contact or distance maps. Such information can be used as constraints in structure prediction and massively increase prediction accuracy. Unfortunately, the same ML methods cannot readily be applied to RNA as they rely on large structural datasets only available for proteins. Here, we demonstrate how the available smaller data for RNA can be used to improve prediction of RNA contact maps. We introduce an algorithm called CoCoNet that is based on a combination of a Coevolutionary model and a shallow Convolutional Neural Network. Despite its simplicity and the small number of trained parameters, the method boosts the positive predictive value (PPV) of predicted contacts by about 70% with respect to DCA as tested by cross-validation of about eighty RNA structures. However, the direct inclusion of the CoCoNet contacts in 3D modeling tools does not result in a proportional increase of the 3D RNA structure prediction accuracy. Therefore, we suggest that the field develops, in addition to contact PPV, metrics which estimate the expected impact for 3D structure modeling tools better. CoCoNet is freely available and can be found at https://github.com/KIT-MBS/coconet.     

The structural diversity of artificial genetic polymers

Synthetic genetics is a subdiscipline of synthetic biology that aims to develop artificial genetic polymers (also referred to as xeno-nucleic acids or XNAs) that can replicate in vitro and eventually in model cellular organisms. This field of science combines organic chemistry with polymerase engineering to create alternative forms of DNA that can store genetic information and evolve in response to external stimuli. Practitioners of synthetic genetics postulate that XNA could be used to safeguard synthetic biology organisms by storing genetic information in orthogonal chromosomes. XNA polymers are also under active investigation as a source of nuclease resistant affinity reagents (aptamers) and catalysts (xenozymes) with practical applications in disease diagnosis and treatment. In this review, we provide a structural perspective on known antiparallel duplex structures in which at least one strand of the Watson–Crick duplex is composed entirely of XNA. Currently, only a handful of XNA structures have been archived in the Protein Data Bank as compared to the more than 100 000 structures that are now available. Given the growing interest in xenobiology projects, we chose to compare the structural features of XNA polymers and discuss their potential to access new regions of nucleic acid fold space.     

肽核酸在分子生物学技术中的应用

肽核酸(PNA)作为一种人工合成的核酸类似物,以中性的肽链酰胺2-氨基乙基甘氨酸键取代了DNA中的戊糖磷酸二酯键骨架,其余部分与DNA相同。PNA可通过Watson-Crick碱基配对的形式识别并结合DNA或RNA序列,形成稳定的双螺旋结构。与传统的DNA或RNA相比,PNA具有生物学稳定性高、杂交特异性强、杂合体的稳定性高和杂交速度快等明显优点,使PNA具有良好的物理化学性质和生物学特性,在检测目的核酸序列中单碱基突变、PCR基因分子诊断与检测、荧光原位杂交定量分析、基因芯片和生物传感器技术等调控水平和临床应用上有自己的特点。简要综述了近年来肽核酸在上述分子生物学技术中的运用以及应用前景的展望。     

An ancient anion‐binding structural module in RNA and DNA helicases

RNA and DNA helicases manipulate or translocate along single strands of nucleic acids by grasping them using a conserved structural motif. We have examined the available crystal structures of helicases of the two principal superfamilies, SF1 and SF2, and observed that the most conserved interactions with the nucleic acid occur between the phosphosugar backbone of a trinucleotide and the three strand‐helix loops within a (β‐strand/α‐helix)₃ structural module. At the first and third loops is a conserved hydrogen‐bonded feature called a thr‐motif, often seen at α‐helical N‐termini, with the threonine as the N‐cap residue. These loops can be aligned with few insertions or deletions, and their main chain atoms are structurally congruent amongst the family members and between the two modules found as tandem pairs in all SF1 and SF2 proteins. The other highly conserved interactions with nucleic acid involve mainchain NH groups, often at the helical N‐termini, interacting with phosphate groups. We comment on how the sequence motifs that are commonly used to identify helicases map to locations on the module and discuss the implications of the conserved orientation of nucleic acid on the surface of the module for directional stepping along DNA or RNA. Proteins 2010. © 2010 Wiley‐Liss, Inc.     

Evaluation of single-stranded nucleic acids as carriers in the DNA-directed assembly of macromolecules

Current developments in nanosciences indicate that the self-assembly of macromolecules, such as proteins or metallic nanoclusters, can be conveniently achieved by means of nucleic acid hybridization. Within this context, we here report on the evaluation of single-stranded nucleic acids to be utilized as carrier backbones in DNA-directed self-assembly. A microplate solid-phase hybridization assay is described which allows rapid experimental determination of the hybridization efficiencies of various sequence stretches within a given nucleic acid carrier strand. As demonstrated for two DNA fragments of different sequence, the binding efficiencies of several oligonucleotides depend on the formation of specific secondary structure elements within the carrier molecule. A correlation of sequence-specific hybridization capability with modeled secondary structure is also obvious from experiments using the fluorescence gel-shift analysis. Electrophoretic studies on the employment of helper oligonucleotides in the formation of supramolecular conjugates of several oligonucleotide-tagged proteins indicate, that structural constraints can be minimized by disruption of intramolecular secondary structures of the carrier molecule. To estimate the influences of the chemical nature of the carrier, gel-shift experiments are carried out to compare a 170mer RNA molecule with its DNA analogue. Ternary aggregates, containing two protein components bound to the carrier, are formed with a greater efficiency on the DNA instead of the RNA carrier backbone.     

Nucleic acid structure and recognition

We review the global structures adopted by branched nucleic acids, including three- and four-way helical junctions in DNA and RNA. We find that some general folding principles emerge. First, all the structures exhibit a tendency to undergo pairwise coaxial helical stacking when permitted by the local stereochemistry of strand exchange. Second, metal ions generally play an important role in facilitating folding of branched nucleic acids. These principles can be applied to functionally important branched nucleic acids, such as the Holliday DNA junction of genetic recombination, and the hammerhead ribozyme in RNA.     

Sulfur-containing Nucleic Acids: Synthesis,Chemical Reactions in Supramolecular Biopolymer Complexes,Biological Applications

The chemical behavior of sulfur-containing oligonucleotides and their reactivity in self-assembled nucleic acids (NA) and specific NA–protein complexes is considered. Reviewed are postsynthetic approaches that allow introducing sulfur-containing linkages at preselected positions of the sugar-phosphate backbone of DNA and between neighboring nucleobases, to incorporate disulfide bridges between complementary strands of double- and triple-stranded DNAs, in large catalytic RNA, etc. Special reference is given to the site-specific chemical modifications as a tool for elucidating the structure, folding, and function of biomolecules. Structure-directed chemical reactions are shown to be helpful in detecting point mutations in DNA, targeting the modifications on specific positions of NA, probing the molecular recognition in protein–DNA interfaces, studying the conformational dynamics of nucleic acids, and discriminating between different folding models.