Nucleic Acid Complexes Research Articles

Hydrogel loop-mediated isothermal amplification for ultra-fast diagnosis of Helicobacter pylori in stool samples without nucleic acid extraction

BackgroundThe gastrointestinal diseases caused by Helicobacter pylori (H. pylori) infection made the accurate detection of H. pylori infection more important. Non-invasive methods, such as molecular diagnostic methods, had become a promising method for detection of H. pylori. Stool samples combined with loop-mediated isothermal amplification (LAMP), showed potential practicability for real-time detection. However, complex nucleic acid extraction steps were required to remove the large numbers of amplification inhibitors in stool samples before LAMP reaction. And the limited number of H. pylori made the detection with long reaction time and low sensitivity. The problems mentioned above were urgently to be solved. ResultsIn this study, we proposed a strategy for ultra-rapid sensitive detection of H. pylori in stool samples by hydrogel LAMP (hLAMP) without extraction. The hydrogel was combined with stool samples after simple thermal cracking, and amplification spaces were formed in its nanopore structures by nano-localization. The LAMP reaction was accelerated by nano space-localization. Besides, this method based on hLAMP could specifically and sensitively detect as low as 100 CFU/mL H. pylori within 40 min from sampling to result due to good anti-inhibition effect on complex samples of hydrogel. The whole process involved sample simple disposal for 10 min and LAMP reaction for 30 min. Furthermore, the excellent anti-inhibition mechanism of hydrogel was discussed, and the mechanism of hydrogel accelerating LAMP was explored. SignificanceThis is the first application of that hydrogel and LAMP systematically combined to detect H. pylori in stool samples. The developed method had been verified in actual clinical applications that the accuracy rate reached 88.9% compared with routine histopathology. And it also provided a potential idea for the diagnosis and prevention of H. pylori.

Miktoarm Star-polypept(o)ide-Based Polyion Complex Micelles for the Delivery of Large Nucleic Acids.

Miktoarm star polymers exhibit a captivating range of physicochemical properties, setting them apart from their linear counterparts. This study devised a synthetic pathway to synthesize cationic miktoarm stars utilizing polypept(o)ides (PeptoMiktoStars), comprising 3 or 6 polysarcosine (pSar) arms (AB3×100, AB6×50, overall 300) for shielding and a cross-linkable poly(S-ethylsulfonyl-l-homocysteine) (pHcy(SO2Et)20) block and a poly(l-lysine) ((pLys)20) block for nucleic acid complexation. Precise control over the DPn and narrow molecular weight distributions (D̵ ≈ 1.2) were achieved for both structures. Both PeptoMiktoStars efficiently complexed mRNA and pDNA into polyion complex micelles (PICMs). AB6-PICMs provided modest (mRNA) to high (pDNA) stability against glutathione and heparin sulfate (HS), while even cross-linked AB3-PICMs were susceptible to HS. All PICMs delivered pDNA and mRNA into D1 cells (over 80%) and Jurkat T cells (over 50%) in vitro. Despite payload- and cell-dependency, AB3 showed overall higher transfection efficiency, while AB6 demonstrated better shielding and enhanced stability.

The stage- and kinetics-dependent regulation of highly ordered sequential reactions by liquid–liquid phase separation

Understanding the reaction kinetics, thermodynamics, and molecular mechanisms of liquid–liquid phase separation (LLPS) holds immense significance in unraveling the cell’s spatiotemporal coordination of metabolic pathways and has the potential to revolutionize diverse fields, including diagnostics and catalysis. However, the current scope of LLPS-based investigations is primarily limited to simplistic models with one or two-step reactions, failing to capture the complexity necessary for comprehending LLPS’s impact on intricate reactions and hindering its widespread practical applications. In this study, we address this limitation by constructing and screening a tailored LLPS system and utilizing complex nucleic acid amplification as a representative example. Our findings reveal a significant departure from the continuous acceleration observed in simple reactions, as the acceleration of complex reactions is highly dependent on the kinetics and reactant concentration of each specific reaction stage. Furthermore, by incorporating LLPS and its stage-specific factors, we demonstrate the development of an LLPS-based molecular diagnostic tool with a shortened detection time, higher efficiency and sensitivity compared to traditional methods. Therefore, this newfound understanding sheds light on the intricate characteristics of LLPS-mediated complex reactions and offers a breakthrough in diagnostic advancements by enabling faster and more accurate detection of target molecules, leveraging LLPS in diagnostic advancements, and driving the unlocking of further potential for LLPS utilization in various fields.

A second life for the crystallographic structure of Berenil-dodecanucleotide complex: a computational revisitation thirty years after its publication

AbstractThis study revisits the pioneering work of Professor Neidle, and co-workers, on the crystal structure of complexes formed between groove binders and DNA sequences. The original research revealed a DNA-ligand complex consisting of a dodecanucleotide bound with Berenil [1,3-bis(4′-amidinophenyl)-triazene] an anti-trypanocidal drug. This article aims to delve deeper into the structural dynamics of this system, showcasing the role played by water molecules in stabilizing the interaction between the ligand and the DNA. With this work, we reevaluate the findings from the original crystallographic study by employing modern molecular dynamics techniques, including Supervised Molecular Dynamics (SuMD) for generating binding trajectories, Thermal Titration Molecular Dynamics for assessing unbinding events, and AquaMMapS to identify regions occupied by stationary water molecules. The study addresses a minor and a major groove binding mode and assesses their strength and specificity using TTMD simulations, generating unbinding trajectories. This comprehensive approach integrates the understanding of the interaction of this DNA-ligand complex, which originated with the valuable work of Professor Neidle, resulting in an in-depth insight into the pivotal role of water molecules with this DNA, a behavior detected and extendable even to other nucleic acid complexes.

Allosteric stem-loop multicomponent DNAzyme: A versatile stimuli-responsive switch for nanotweezer operations and multifunctional biosensing

DNAzyme, possessing the capabilities of both encoding information and catalyzing chemical reactions, holds significant value in advancing the widespread application of dynamic nanotechnology. Particularly, multicomponent DNAzyme (MNAzyme) has attracted considerable attention due to its remarkable versatility and practicality. However, the inevitable signal leakage of MNAzyme constrains the applications in complex nucleic acid reaction networks. Herein, we present an allosteric stem-loop multicomponent DNAzyme (ASLM) that incorporates a blocking domain to mitigate leakage resulting from secondary structures of MNAzyme while simultaneously stabilizing binding affinity during complex formation. As the sequence of blocking domain serves as an extension independent of the functional region in MNAzyme, this modulation structure can be flexibly assembled with conformation-switchable nanotweezer to form a time-responsive molecular device, enabling dynamic and dissipative operations through nucleic acid and RNase H. More importantly, the ASLM structure can be directly incorporated into DNA catalytic circuits for detecting multiple biomolecules (nucleic acid, protease, and small molecule). With its scalability and versatility, this effector-activated allosteric regulator will serve as a universal stimuli-responsive switch in complex and hierarchical DNA networks, expanding the scope of DNA nanotechnology in molecular device construction and diagnostic biosensing.

Therapeutic framework nucleic acid complexes targeting oxidative stress and pyroptosis for the treatment of osteoarthritis

Osteoarthritis (OA) is one of the most prevalent joint diseases and severely affects the quality of life in the elderly population. However, there are currently no effective prevention or treatment options for OA. Oxidative stress and pyroptosis play significant roles in the development and progression of OA. To address this issue, we have developed a novel therapeutic approach for OA that targets oxidative stress and pyroptosis. We synthesized tetrahedral framework nucleic acid (tFNAs) to form framework nucleic acid complexes (TNCs), which facilitate the delivery of the naturally occurring polymethoxyflavonoid nobiletin (Nob) to chondrocytes. TNC has demonstrated favorable bioavailability, stability, and biosafety for delivering Nob. Both in vitro and in vivo experiments have shown that TNC can alleviate OA and protect articular cartilage from damage by eliminating oxidative stress, inhibiting pyroptosis, and restoring the extracellular matrix anabolic metabolism of chondrocytes. These findings suggest that TNC has significant potential in the treatment of OA and cartilage injury.

Synthetic polypeptides inhibit nucleic acid-induced inflammation in autoimmune diseases by disrupting multivalent TLR9 binding to LL37-DNA bundles.

Complexes of extracellular nucleic acids (NAs) with endogenous proteins or peptides, such as LL37, break immune balance and cause autoimmune diseases, whereas NAs with arginine-enriched peptides do not. Inspired by this, we synthesize a polyarginine nanoparticle PEG-TK-NPArg, which effectively inhibits Toll-like receptor-9 (TLR9) activation, in contrast to LL37. To explore the discrepancy effect of PEG-TK-NPArg and LL37, we evaluate the periodic structure of PEG-TK-NPArg-NA and LL37-NA complexes using small-angle X-ray scattering. LL37-NA complexes have a larger inter-NA spacing that accommodates TLR9, while the inter-NA spacing in PEG-TK-NPArg-NA complexes mismatches with the cavity of TLR9, thus inhibiting an interaction with multiple TLR9s, limiting their clustering and damping immune induction. Subsequently, the inhibitory inflammation effect of PEG-TK-NPArg is proved in an animal model of rheumatoid arthritis. This work on how the scavenger-NA complexes inhibit the immune response may facilitate proof-of-concept research translating to clinical application.

Mix-and-Read Digital MicroRNA Analysis Based on Flow Cytometric Counting of Target-Clicked Nanobead Dimer.

A one-step, enzyme-free, and highly sensitive digital microRNA (miRNA) assay is rationally devised based on flow cytometric counting of target miRNA-clicked nanobead dimers via a facile mix-and-read manner. In this strategy, highly efficient miRNA-sandwiched click chemical ligation of two DNA probes may remarkably stabilize and boost the dimer formation between two kinds of fluorescence-coded nanobeads, and the number of as-produced bead dimers will be target dose-responsive, particularly when the trace number of miRNA is much less than that of employed nanobeads. Finally, each fluorescence-coded bead dimer can be easily identified and digitally counted by a powerful flow cytometer (FCM) and accordingly, the amount of target miRNA can be accurately quantified in a digital way. This new digital miRNA assay can be accomplished with a facile mix-and-read operation just by simply mixing the target miRNA with two kinds of preprepared DNA probe-functionalized nanobeads, which do not require any nucleic acid amplification, purification, and complex operation procedures. In spite of the extremely simple one-step operation, benefiting from the low-background but high target-mediated click ligation efficiency, and the powerfully digital statistical capability of FCM, this strategy achieves high sensitivity with a quite low detection limit of 5.2 fM target miRNA as well as high specificity and good generality for miRNA analysis, pioneering a new direction for fabricating digital bioassays.

Bioinformatics in Neonatal/Pediatric Medicine-A Literature Review.

Bioinformatics is a scientific field that uses computer technology to gather, store, analyze, and share biological data and information. DNA sequences of genes or entire genomes, protein amino acid sequences, nucleic acid, and protein-nucleic acid complex structures are examples of traditional bioinformatics data. Moreover, proteomics, the distribution of proteins in cells, interactomics, the patterns of interactions between proteins and nucleic acids, and metabolomics, the types and patterns of small-molecule transformations by the biochemical pathways in cells, are further data streams. Currently, the objectives of bioinformatics are integrative, focusing on how various data combinations might be utilized to comprehend organisms and diseases. Bioinformatic techniques have become popular as novel instruments for examining the fundamental mechanisms behind neonatal diseases. In the first few weeks of newborn life, these methods can be utilized in conjunction with clinical data to identify the most vulnerable neonates and to gain a better understanding of certain mortalities, including respiratory distress, bronchopulmonary dysplasia, sepsis, or inborn errors of metabolism. In the current study, we performed a literature review to summarize the current application of bioinformatics in neonatal medicine. Our aim was to provide evidence that could supply novel insights into the underlying mechanism of neonatal pathophysiology and could be used as an early diagnostic tool in neonatal care.

Dynamic Covalent Boronate Chemistry Accelerates the Screening of Polymeric Gene Delivery Vectors via In Situ Complexation of Nucleic Acids.

Gene therapy provides exciting new therapeutic opportunities beyond the reach of traditional treatments. Despite the tremendous progress of viral vectors, their high cost, complex manufacturing, and side effects have encouraged the development of nonviral alternatives, including cationic polymers. However, these are less efficient in overcoming cellular barriers, resulting in lower transfection efficiencies. Although the exquisite structural tunability of polymers might be envisaged as a versatile tool for improving transfection, the need to fine-tune several structural parameters represents a bottleneck in current screening technologies. By taking advantage of the fast-forming and strong boronate ester bond, an archetypal example of dynamic covalent chemistry, a highly adaptable gene delivery platform is presented, in which the polycation synthesis and pDNA complexation occur in situ. The robustness of the strategy entitles the simultaneous evaluation of several structural parameters at will, enabling the accelerated screening and adaptive optimization of lead polymeric vectors using dynamic covalent libraries.

Data-driven regularization lowers the size barrier of cryo-EM structure determination

Macromolecular structure determination by electron cryo-microscopy (cryo-EM) is limited by the alignment of noisy images of individual particles. Because smaller particles have weaker signals, alignment errors impose size limitations on its applicability. Here, we explore how image alignment is improved by the application of deep learning to exploit prior knowledge about biological macromolecular structures that would otherwise be difficult to express mathematically. We train a denoising convolutional neural network on pairs of half-set reconstructions from the electron microscopy data bank (EMDB) and use this denoiser as an alternative to a commonly used smoothness prior. We demonstrate that this approach, which we call Blush regularization, yields better reconstructions than do existing algorithms, in particular for data with low signal-to-noise ratios. The reconstruction of a protein–nucleic acid complex with a molecular weight of 40 kDa, which was previously intractable, illustrates that denoising neural networks will expand the applicability of cryo-EM structure determination for a wide range of biological macromolecules.

Toward Bioactive Hydrogels: A Tunable Approach via Nucleic Acid-Collagen Complexation

Abstract Purpose Nucleic acid-collagen complexes (NACCs) are unique biomaterials formed by binding short, monodisperse single-stranded DNA (ssDNA) with type I collagen. These complexes spontaneously generate microfibers and nanoparticles of varying sizes, offering a versatile platform with potential applications in tissue engineering and regenerative medicine. However, the detailed mechanisms behind the nucleic acid-driven assembly of collagen fibers still need to be established. We aim to understand the relationship between microscopic structure and bulk material properties and demonstrate that NACCs can be engineered as mechanically tunable systems. Methods We present a study to test NACCs with varying molar ratios of collagen to random ssDNA oligonucleotides. Our methods encompass the assessment of molecular interactions through infrared spectroscopy and the characterization of gelation and rheological behavior. We also include phase contrast, confocal reflectance, and transmission electron microscopy to provide complementary information on the 3D structural organization of the hydrogels. Results We report that adding DNA oligonucleotides within collagen robustly reinforces and rearranges the hydrogel network and accelerates gelation by triggering rapid fiber formation and spontaneous self-assembly. The elasticity of NACC hydrogels can be tailored according to the collagen-to-DNA molar ratio, ssDNA length, and collagen species. Conclusion Our findings hold significant implications for the design of mechanically tunable DNA-based hydrogel systems. The ability to manipulate hydrogel stiffness by tailoring DNA content and collagen concentration offers new avenues for fine tuning material properties, enhancing the versatility of bioactive hydrogels in diverse biomedical applications. Lay Summary This work is an example of forming fibers and gels with tunable elasticity that stems from the complexation of short-length nucleic acids (on the order of size of aptamers) and collagen, which can be potentially extended to a variety of functionalized hydrogel designs and tailored biomedical applications. Incorporating DNA induces mechanical changes in NACCs. Graphical Abstract

Transcription factors ERα and Sox2 have differing multiphasic DNA- and RNA-binding mechanisms.

Many transcription factors (TFs) have been shown to bind RNA, leading to open questions regarding the mechanism(s) of this RNA binding and its role in regulating TF activities. Here, we use biophysical assays to interrogate the k on, k off, and K d for DNA and RNA binding of two model human TFs, ERα and Sox2. Unexpectedly, we found that both proteins exhibit multiphasic nucleic acid-binding kinetics. We propose that Sox2 RNA and DNA multiphasic binding kinetics can be explained by a conventional model for sequential Sox2 monomer association and dissociation. In contrast, ERα nucleic acid binding exhibited biphasic dissociation paired with novel triphasic association behavior, in which two apparent binding transitions are separated by a 10-20 min "lag" phase depending on protein concentration. We considered several conventional models for the observed kinetic behavior, none of which adequately explained all the ERα nucleic acid-binding data. Instead, simulations with a model incorporating sequential ERα monomer association, ERα nucleic acid complex isomerization, and product "feedback" on isomerization rate recapitulated the general kinetic trends for both ERα DNA and RNA binding. Collectively, our findings reveal that Sox2 and ERα bind RNA and DNA with previously unappreciated multiphasic binding kinetics, and that their reaction mechanisms differ with ERα binding nucleic acids via a novel reaction mechanism.

Abstract NG04: Targeting DHX9 to trigger viral mimicry and immunotherapy responsiveness in small cell lung cancer

Abstract NG04: Targeting DHX9 to trigger viral mimicry and immunotherapy responsiveness in small cell lung cancer

RmsdXNA: RMSD prediction of nucleic acid-ligand docking poses using machine-learning method.

Small molecule drugs can be used to target nucleic acids (NA) to regulate biological processes. Computational modeling methods, such as molecular docking or scoring functions, are commonly employed to facilitate drug design. However, the accuracy of the scoring function in predicting the closest-to-native docking pose is often suboptimal. To overcome this problem, a machine learning model, RmsdXNA, was developed to predict the root-mean-square-deviation (RMSD) of ligand docking poses in NA complexes. The versatility of RmsdXNA has been demonstrated by its successful application to various complexes involving different types of NA receptors and ligands, including metal complexes and short peptides. The predicted RMSD by RmsdXNA was strongly correlated with the actual RMSD of the docked poses. RmsdXNA also outperformed the rDock scoring function in ranking and identifying closest-to-native docking poses across different structural groups and on the testing dataset. Using experimental validated results conducted on polyadenylated nuclear element for nuclear expression triplex, RmsdXNA demonstrated better screening power for the RNA-small molecule complex compared to rDock. Molecular dynamics simulations were subsequently employed to validate the binding of top-scoring ligand candidates selected by RmsdXNA and rDock on MALAT1. The results showed that RmsdXNA has a higher success rate in identifying promising ligands that can bind well to the receptor. The development of an accurate docking score for a NA-ligand complex can aid in drug discovery and development advancements. The code to use RmsdXNA is available at the GitHub repository https://github.com/laiheng001/RmsdXNA.

Synergistic Osteogenic and Antiapoptotic Framework Nucleic Acid Complexes Prevent Diabetic Osteoporosis

AbstractDiabetes mellitus (DM) is characterized by elevated blood glucose and advanced glycation end product (AGEs) levels. Increased AGEs in bone tissue inhibit osteogenic differentiation by bone marrow mesenchymal stem cells (BMSCs), leading to bone loss and osteoporosis in diabetic patients. Enhancing the osteogenic differentiation capacity of BMSCs in the presence of abundant AGEs can improve bone health and prevent osteoporosis in DM patients. The flavonoid, Quercetin, has anti‐inflammatory, antibacterial, and antitumor properties; however, it is insoluble in water and thus not easily absorbed by the body. Nanodrug delivery systems such as tetrahedral framework nucleic acids (tFNAs) exhibit excellent biocompatibility, efficient cell uptake, and drug piggybacking. In the present study, tFNAs with quercetin is complexed to form a novel nanodrug (tFNAs/Que) that combined the features of both components. tFNAs/Que promote osteogenic differentiation by BMSCs in an in vitro AGEs‐rich environment, maintain bone mass, and prevent diabetic osteoporosis in DM mice in vivo. The mechanism of tFNAs/Que against AGEs may be related to the JNK signaling pathway. In conclusion, it is shown that tFNAs/Que has a dual regulatory role by promoting osteogenic differentiation and inhibiting apoptosis. Such a feature is promising for the prevention and treatment of diabetic osteoporosis.

Transient states during the annealing of mismatched and bulged oligonucleotides.

Oligonucleotide hybridization is crucial in various biological, prebiotic and nanotechnological processes, including gene regulation, non-enzymatic primer extension and DNA nanodevice assembly. Although extensive research has focused on the thermodynamics and kinetics of nucleic acid hybridization, the behavior of complex mixtures and the outcome of competition for target binding remain less well understood. In this study, we investigate the impact of mismatches and bulges in a 12bp DNA or RNA duplex on its association (kon) and dissociation (koff) kinetics. We find that such defects have relatively small effects on the association kinetics, while the dissociation kinetics vary in a position-dependent manner by up to 6 orders of magnitude. Building upon this observation, we explored a competition scenario involving multiple oligonucleotides, and observed a transient low specificity of probe hybridization to fully versus partially complementary targets in solution. We characterize these long-lived metastable states and their evolution toward equilibrium, and show that sufficiently long-lived mis-paired duplexes can serve as substrates for prebiotically relevant chemical copying reactions. Our results suggest that transient low accuracy states may spontaneously emerge within all complex nucleic acid systems comprising a large enough number of competing strands, with potential repercussions for gene regulation in the realm of modern biology and the prebiotic preservation of genetic information.

Complexation of fungal extracellular nucleic acids by host LL-37 peptide shapes neutrophil response to Candida albicans biofilm.

Candida albicans remains the predominant cause of fungal infections, where adhered microbial cells form biofilms - densely packed communities. The central feature of C. albicans biofilms is the production of an extracellular matrix (ECM) consisting of polymers and extracellular nucleic acids (eDNA, eRNA), which significantly impedes the infiltration of host cells. Neutrophils, as crucial players in the innate host defense, employ several mechanisms to eradicate the fungal infection, including NETosis, endocytosis, or the release of granules containing, among others, antimicrobial peptides (AMPs). The main representative of these is the positively charged peptide LL-37 formed from an inactive precursor (hCAP18). In addition to its antimicrobial functions, this peptide possesses a propensity to interact with negatively charged molecules, including nucleic acids. Our in vitro studies have demonstrated that LL-37 contacting with C. albicans nucleic acids, isolated from biofilm, are complexed by the peptide and its shorter derivatives, as confirmed by electrophoretic mobility shift assays. We indicated that the generation of the complexes induces discernible alterations in the neutrophil response to fungal nucleic acids compared to the effects of unconjugated molecules. Our analyses involving fluorescence microscopy, flow cytometry, and Western blotting revealed that stimulation of neutrophils with DNA:LL-37 or RNA:LL-37 complexes hamper the activation of pro-apoptotic caspases 3 and 7 and fosters increased activation of anti-apoptotic pathways mediated by the Mcl-1 protein. Furthermore, the formation of complexes elicits a dual effect on neutrophil immune response. Firstly, they facilitate increased nucleic acid uptake, as evidenced by microscopic observations, and enhance the pro-inflammatory response, promoting IL-8 production. Secondly, the complexes detection suppresses the production of reactive oxygen species and attenuates NETosis activation. In conclusion, these findings may imply that the neutrophil immune response shifts toward mobilizing the immune system as a whole, rather than inactivating the pathogen locally. Our findings shed new light on the intricate interplay between the constituents of the C. albicans biofilm and the host's immune response and indicate possible reasons for the elimination of NETosis from the arsenal of the neutrophil response during contact with the fungal biofilm.

Developing and applying the vibrations of nucleic acid and enzyme-substrate complexes as molecular scale detectors of conformation and to measure how the physical properties of individual units contribute to the whole suprastructure

Developing and applying the vibrations of nucleic acid and enzyme-substrate complexes as molecular scale detectors of conformation and to measure how the physical properties of individual units contribute to the whole suprastructure

The impact of substrate characteristics on the collection and persistence of biological materials, and their implications for forensic casework

This study assessed the level of nucleic acid persistence on the substrate pre-, and post-swabbing, in order to assess whether biological materials (touch, saliva, semen, and blood) are collected differently depending on the substrate characteristics. A total of 48 samples per deposit and substrate variety (n = 384) were assessed by tracking the persistence of nucleic acid using Diamond™ Nucleic Acid Dye (DD) staining and Polilight photography. The number of DD nucleic acid fluorescent complexes formed post-staining were counted (fluorescent count) and in conjunction with the fluorescence signal intensity (DD nucleic acid complex accumulation) used to estimate the level of nucleic acid persistence on substrates. Touch deposits have shown to be the most persistent deposit with strong adhesion capabilities on both substrate verities. Saliva displayed a higher persistence than semen and/or blood. Semen displayed a high collection efficiency as well as a high fluorescence signal intensity. Blood displayed a low persistence on both substrates with a superior collection efficiency that may also indicate a higher probability to become dislodged from surfaces given a particular activity. Our research has shown that the persistence and recovery of biological deposits is not only measurable but more importantly, may have the potential to be estimated, as such, may build an understanding that can provide valuable guidance for collection efficiency evaluations, and the assessing of the probability of particular profiles, given alternate propositions of means of transfer occurring.