Introducing a New Bond-Forming Activity in an Archaeal DNA Polymerase by Structure-Guided Enzyme Redesign

DNA polymerases have evolved to feature a highly conserved activity across the tree of life: formation of, without exception, phosphodiester linkages that create the repeating sugar-phosphate backbone of DNA. Can this linkage selectivity observed in nature be overcome by design to produce non-natural nucleic acids? Here, we report that structure-guided redesign of an archaeal DNA polymerase (9°N) enables a new polymerase activity that is undetectable in the wild type enzyme: catalyzing the formation of N3′→P5′ phosphoramidate linkages in the presence of 3′-amino-2′,3′-dideoxynucleoside 5′-triphosphate (3′-NH2-ddNTP) building blocks. Replacing a highly conserved metal-binding aspartate in the 9°N active site (Asp-404) with asparagine was key to the emergence of this unnatural enzyme activity. Molecular dynamics simulations provided insights into how a single substitution could enhance the productive positioning of the 3′-amino nucleophile in the active site. Further remodeling of the protein-nucleic acid interface with substitutions in the finger subdomain led to a quadruple-mutant variant (9°N-NRQS) that incorporated 3′-NH2-ddNTPs into a 3′-amino-primer on various DNA templates. This work presents the first example of an active-site substitution of a metal-binding residue that leads to a novel activity in a DNA polymerase, and sheds light on the molecular basis of substrate fidelity and latent promiscuity in enzymes.

Influence of water concentration on the content of protein and nucleic acids in organs of chick embryos of different ages

The study was carried out in 10-, 14-15-, 18-20-day-old embryos and 1-2-day-old chickens of the Hy-Line breed. In chickens during embryogenesis, the peculiarities of the relationship between the main indicator of the ontogenetic growth of organs and tissues - the content of intracellular water by previously measured values: with the concentration of protein and nucleic acids in the organs of chicken embryos of different ages - were assessed. It was found that in the period of 10-19 days of embryogenesis, the growth of organs is accompanied by a significant decrease in water content to varying degrees: noticeably higher in the liver and in the cerebral hemispheres - up to 14 days; from the 19th day, these changes are less pronounced. The results of the studied indicator in the muscles indicate advanced embryonic development with a more pronounced decrease in the water content in the red oxidative muscles in comparison with white muscles, where the decrease in the indicator is less pronounced. Key words: chicken embryos, protein, nucleic acid, water content, pectoralis alba and gastrocnemius muscle.

Evaluation on the performance of MM/PBSA in nucleic acid-protein systems

The molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) method has been widely used in predicting the binding affinity among the ligands, the proteins and the nucleic acids. However, the accuracy of the predicted binding energy by the standard MM/PBSA is not always good, especially in highly charged systems. In this work, we take the protein-nucleic acid complexes as an example, and showed that the use of screening electrostatic energy (instead of coulomb electrostatic energy) in molecular mechanics can greatly improve the performance of MM/PBSA. In particular, the Pearson correlation coefficient of dataset II in the modified MM/PBSA (i.e., screening MM/PBSA) is about 0.52, much better than that (<0.33) in the standard MM/PBSA. Further, we also evaluate the effect of the solute dielectric constant and the salt concentration on the performance of the screening MM/PBSA. The present study highlights the potential power of the screening MM/PBSA for predicting the binding energy in highly charged bio-systems.

POTATO: An automated pipeline for batch analysis of optical tweezers data

Optical tweezers is a single-molecule technique that allows probing of intra- and intermolecular interactions that govern complex biological processes involving molecular motors, protein-nucleic acid interactions and protein/RNA folding. Recent developments in instrumentation eased and accelerated optical tweezers data acquisition, but analysis of the data remains challenging. Here, to enable high-throughput data analysis, we developed an automated python-based analysis pipeline called POTATO (Practical Optical Tweezers Analysis TOol). POTATO automatically processes the high-frequency raw data generated by force-ramp experiments and identifies (un)folding events using predefined parameters. After segmentation of the force-distance trajectories at the identified (un)folding events, sections of the curve can be fitted independently to worm-like chain and freely-jointed chain models, and the work applied on the molecule can be calculated by numerical integration. Furthermore, the tool allows plotting of constant force data and fitting of the Gaussian distance distribution over time. All these features are wrapped in a user-friendly graphical interface (https://github.com/REMI-HIRI/POTATO), which allows researchers without programming knowledge to perform sophisticated data analysis.

Biotinylation-based proximity labeling proteomics: Basics, applications, and technical considerations

Summary Recent advances in biotinylation-based proximity labeling (PL) have opened up new avenues for mapping the protein composition of cellular compartments and protein complexes in living cells at high spatiotemporal resolution. In particular, PL combined with mass spectrometry-based proteomics has been successfully applied to defining protein-protein interactions, protein-nucleic acid interactions, (membraneless) organelle proteomes, and secretomes in various systems ranging from cultured cells to whole animals. In this review, we first summarize the basics and recent biological applications of PL proteomics, and then highlight recent developments in enrichment techniques for biotinylated proteins and peptides, focusing on the advantages of PL and technical considerations.

Plasmalogen Replacement Therapy

Plasmalogens, a subclass of glycerophospholipids containing a vinyl-ether bond, are one of the major components of biological membranes. Changes in plasmalogen content and molecular species have been reported in a variety of pathological conditions ranging from inherited to metabolic and degenerative diseases. Most of these diseases have no treatment, and attempts to develop a therapy have been focusing primarily on protein/nucleic acid molecular targets. However, recent studies have shifted attention to lipids as the basis of a therapeutic strategy. In these pathological conditions, the use of plasmalogen replacement therapy (PRT) has been shown to be a successful way to restore plasmalogen levels as well as to ameliorate the disease phenotype in different clinical settings. Here, the current state of PRT will be reviewed as well as a discussion of future perspectives in PRT. It is proposed that the use of PRT provides a modern and innovative molecular medicine approach aiming at improving health outcomes in different conditions with clinically unmet needs.

mmCSM-NA: accurately predicting effects of single and multiple mutations on protein–nucleic acid binding affinity

While protein–nucleic acid interactions are pivotal for many crucial biological processes, limited experimental data has made the development of computational approaches to characterise these interactions a challenge. Consequently, most approaches to understand the effects of missense mutations on protein-nucleic acid affinity have focused on single-point mutations and have presented a limited performance on independent data sets. To overcome this, we have curated the largest dataset of experimentally measured effects of mutations on nucleic acid binding affinity to date, encompassing 856 single-point mutations and 141 multiple-point mutations across 155 experimentally solved complexes. This was used in combination with an optimized version of our graph-based signatures to develop mmCSM-NA (http://biosig.unimelb.edu.au/mmcsm_na), the first scalable method capable of quantitatively and accurately predicting the effects of multiple-point mutations on nucleic acid binding affinities. mmCSM-NA obtained a Pearson's correlation of up to 0.67 (RMSE of 1.06 Kcal/mol) on single-point mutations under cross-validation, and up to 0.65 on independent non-redundant datasets of multiple-point mutations (RMSE of 1.12 kcal/mol), outperforming similar tools. mmCSM-NA is freely available as an easy-to-use web-server and API. We believe it will be an invaluable tool to shed light on the role of mutations affecting protein–nucleic acid interactions in diseases.

Small Extracellular Vesicles: Functions and Potential Clinical Applications as Cancer Biomarkers

Cancer, as the second leading cause of death worldwide, is a major public health concern that imposes a heavy social and economic burden. Effective approaches for either diagnosis or therapy of most cancers are still lacking. Dynamic monitoring and personalized therapy are the main directions for cancer research. Cancer-derived extracellular vesicles (EVs) are potential disease biomarkers. Cancer EVs, including small EVs (sEVs), contain unique biomolecules (protein, nucleic acid, and lipids) at various stages of carcinogenesis. In this review, we discuss the biogenesis of sEVs, and their functions in cancer, revealing the potential applications of sEVs as cancer biomarkers.

Single-molecule kinetic locking allows fluorescence-free quantification of protein/nucleic-acid binding

Fluorescence-free micro-manipulation of nucleic acids (NA) allows the functional characterization of DNA/RNA processing proteins, without the interference of labels, but currently fails to detect and quantify their binding. To overcome this limitation, we developed a method based on single-molecule force spectroscopy, called kinetic locking, that allows a direct in vitro visualization of protein binding while avoiding any kind of chemical disturbance of the protein’s natural function. We validate kinetic locking by measuring accurately the hybridization energy of ultrashort nucleotides (5, 6, 7 bases) and use it to measure the dynamical interactions of Escherichia coli/E. coli RecQ helicase with its DNA substrate.