Adaptation to extreme environments: Macromolecular dynamics in complex systems

What we previously thought of as insurmountable physical and chemical barriers to life, we now see as yet another niche harbouring Fextremophiles_. Extremophiles and their macromolecules had to develop molecular mechanisms of adaptation to extreme physico–chemical conditions. Using neutron spectroscopy, we have demonstrated that molecular dynamics represents one of these molecular mechanisms of adaptation. To which extent do hyper-saline conditions and extreme temperatures influence molecular dynamics? First, molecular dynamics were analysed for halophilic malate dehydrogenase from Haloarcula marismortui (Hm MalDH) under different molar solvent salt concentration conditions influencing its stability. Secondly, mean macromolecular motions were measured in-vivo in psychrophile (Aquaspirillum arcticum), mesophile (Escherichia coli and Proteus mirabilis), thermophile (Thermus thermophilus), and hyperthermophile (Aquifex pyrofilus) bacteria. The mean constant force of Hm MalDH increases progessively with increasing stability. The results show that the molecular adaptation of Hm MalDH to hyper-saline conditions is achieved through an increasing resilience of its structure dominated by enthalpic mechanisms. The study of bacteria has provided tools to quantify the macromolecular adaptation to extreme temperatures in the naturally crowded environment of the cell. The macromolecular resilience of bacteria increases with adaptation to high temperatures

Enzyme activity and dynamics in near-anhydrous conditions

Water is widely assumed to be essential for life 1, although the exact molecular basis of this requirement is unclear 2-4. Water facilitates protein motions 5-9 and although enzyme activity has been demonstrated at low hydrations in organic solvents 10-13, such non-aqueous solvents may allow the necessary motions for catalysis. To examine enzyme function in the absence of solvation and bypass diffusional constraints we have tested the ability of an esterase to catalyse alcoholysis as an anhydrous powder, using a closed reaction system in which the substrates and products of the enzyme reaction are gaseous 14-15, and where the water content can be well defined 16. At hydrations equivalent to 3 (±2) molecules of water per molecule of enzyme, activity is observed that is several orders of magnitude greater than non-enzymatic catalysis. Neutron spectroscopy indicates that the fast (≤nanosecond) global anharmonic dynamics of the anhydrous functional enzyme are heavily suppressed. The results indicate that neither hydration water nor the solvent-activated fast anharmonic dynamics are required for enzyme function. An implication of these results is that one of the essential requirements of water for life may lie with its role as a diffusion medium rather than any of its more specific properties

From powder to solution: hydration dependence of human hemoglobin dynamics correlated to body temperature

A transition in hemoglobin (Hb), involving partial unfolding and aggregation, has been shown previously by various biophysical methods. The correlation between the transition temperature and body temperature for Hb from different species, suggested that it might be significant for biological function. In order to focus on such biologically relevant human Hb dynamics, we studied the protein internal picosecond motions as a response to hydration, by elastic and quasielastic neutron scattering. Rates of fast diffusive motions were found to be significantly enhanced with increasing hydration from fully hydrated powder to concentrated Hb solution. In concentrated protein solution, the data revealed that amino acid side-chains can explore larger volumes above body temperature than expected from normal temperature dependence. The body temperature transition in protein dynamics was absent in fully hydrated powder, indicating that picosecond protein dynamics responsible for the transition is activated only at a sufficient level of hydration. A collateral result from the study is that fully hydrated protein powder samples do not accurately describe all aspects of protein picosecond dynamics that might be necessary for biological function

口唇トレーニングの多方位口唇閉鎖力に対する影響─健常若年成人および健常高齢者を対象として─

The topical application of sunscreen and cosmetic products that afford protection from terrestrial ultraviolet radiation to reduce the risk of developing skin cancer is an integral part of modern sun protection. The current sunscreen formulations use inorganic zinc oxide (ZnO) and titanium dioxide (TiO ), that are highly photocatalytic, with the ability to penetrate the skin, and exhibit potential toxicity. In this study, we demonstrate a novel methodology to increase the sun protection factor (SPF) of encapsulated metal oxide (Fe O ) nanoparticles in poly(lactic acid) (PLA) microspheres as ultraviolet filters for sunscreen applications. The combination of these two materials results in a nanocomposite with increased UV attenuation and without significant cytotoxic effects during in vitro evaluation. A commercial sunscreen formulation was used to show the benefits of the developed nanocomposites by replacing the harmful ZnO particles by the Fe O -PLA ones, and a throughout comparison between commercial and the new sunscreen formulation was performed. By adding a small amount of the novel Fe O -PLA particles, a remarkable increase in the SPF performance, from 40 (commercial ZnO formulation) to 50 was achieved just by replacing the ZnO particles with 5 wt% of Fe O -PLA ones, resulting in a high level of UV protection, coupled with lower dangerous photocatalytic activity when compared with commercial ZnO nanoparticles. The encapsulation of metal oxide nanoparticles by PLA could provide a route to improve the sunscreen efficacy and enhance its SPF by using more environmentally friendly materials. 2 2 3 2 3 2 3 2

Accurate and fast deep learning dose prediction for a preclinical microbeam radiation therapy study using low-statistics Monte Carlo simulations

Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumour diagnoses that currently have poor clinical treatment outcomes, such as gliosarcomas. Prescription dose estimations for treating preclinical gliosarcoma models in MRT studies at the Imaging and Medical Beamline at the Australian Synchrotron currently rely on Monte Carlo (MC) simulations. The steep dose gradients associated with the 50$\,\mu$m wide coplanar beamlets present a significant challenge for precise MC simulation of the MRT irradiation treatment field in a short time frame. Much research has been conducted on fast dose estimation methods for clinically available treatments. However, such methods, including GPU Monte Carlo implementations and machine learning (ML) models, are unavailable for novel and emerging cancer radiation treatment options like MRT. In this work, the successful application of a fast and accurate machine learning dose prediction model in a retrospective preclinical MRT rodent study is presented for the first time. The ML model predicts the peak doses in the path of the microbeams and the valley doses between them, delivered to the gliosarcoma in rodent patients. The predictions of the ML model show excellent agreement with low-noise MC simulations, especially within the investigated tumour volume. This agreement is despite the ML model being deliberately trained with MC-calculated samples exhibiting significantly higher statistical uncertainties. The successful use of high-noise training set data samples, which are much faster to generate, encourages and accelerates the transfer of the ML model to different treatment modalities for other future applications in novel radiation cancer therapies

Establishment of novel long-term cultures from EpCAM positive and negative circulating tumour cells from patients with metastatic gastroesophageal cancer

Circulating tumour cell (CTC) enumeration and profiling has been established as a valuable clinical tool in many solid malignancies. A key challenge in CTC research is the limited number of cells available for study. Ex vivo CTC culture permits expansion of these rare cell populations for detailed characterisation, functional assays including drug sensitivity testing, and investigation of the pathobiology of metastases. We report for the first time the establishment and characterisation of two continuous CTC lines from patients with gastroesophageal cancer. The two cell lines (designated UWG01CTC and UWG02CTC) demonstrated rapid tumorigenic growth in immunodeficient mice and exhibit distinct genotypic and phenotypic profiles which are consistent with the tumours of origin. UWG02CTC exhibits an EpCAM+, cytokeratin+, CD44+ phenotype, while UWG01CTC, which was derived from a patient with metastatic neuroendocrine cancer, displays an EpCAM−, weak cytokeratin phenotype, with strong expression of neuroendocrine markers. Further, the two cell lines show distinct differences in drug and radiation sensitivity which match differential cancer-associated gene expression pathways. This is strong evidence implicating EpCAM negative CTCs in metastasis. These novel, well characterised, long-term CTC cell lines from gastroesophageal cancer will facilitate ongoing research into metastasis and the discovery of therapeutic targets

Differences in lateral gene transfer in hypersaline versus thermal environments

<p>Abstract</p> <p>Background</p> <p>The role of lateral gene transfer (LGT) in the evolution of microorganisms is only beginning to be understood. While most LGT events occur between closely related individuals, inter-phylum and inter-domain LGT events are not uncommon. These distant transfer events offer potentially greater fitness advantages and it is for this reason that these "long distance" LGT events may have significantly impacted the evolution of microbes. One mechanism driving distant LGT events is microbial transformation. Theoretically, transformative events can occur between any two species provided that the DNA of one enters the habitat of the other. Two categories of microorganisms that are well-known for LGT are the thermophiles and halophiles.</p> <p>Results</p> <p>We identified potential inter-class LGT events into both a thermophilic class of Archaea (Thermoprotei) and a halophilic class of Archaea (Halobacteria). We then categorized these LGT genes as originating in thermophiles and halophiles respectively. While more than 68% of transfer events into Thermoprotei taxa originated in other thermophiles, less than 11% of transfer events into Halobacteria taxa originated in other halophiles.</p> <p>Conclusions</p> <p>Our results suggest that there is a fundamental difference between LGT in thermophiles and halophiles. We theorize that the difference lies in the different natures of the environments. While DNA degrades rapidly in thermal environments due to temperature-driven denaturization, hypersaline environments are adept at preserving DNA. Furthermore, most hypersaline environments, as topographical minima, are natural collectors of cellular debris. Thus halophiles would in theory be exposed to a greater diversity and quantity of extracellular DNA than thermophiles.</p

Climate-Based Models for Understanding and Forecasting Dengue Epidemics

Dengue fever is a major public health problem in the tropics and subtropics. Since no vaccine exists, understanding and predicting outbreaks remain of crucial interest. Climate influences the mosquito-vector biology and the viral transmission cycle. Its impact on dengue dynamics is of growing interest. We analyzed the epidemiology of dengue in Noumea (New Caledonia) from 1971 to 2010 and its relationships with local and remote climate conditions using an original approach combining a comparison of epidemic and non epidemic years, bivariate and multivariate analyses. We found that the occurrence of outbreaks in Noumea was strongly influenced by climate during the last forty years. Efficient models were developed to estimate the yearly risk of outbreak as a function of two meteorological variables that were contemporaneous (explicative model) or prior (predictive model) to the outbreak onset. Local threshold values of maximal temperature and relative humidity were identified. Our results provide new insights to understand the link between climate and dengue outbreaks, and have a substantial impact on dengue management in New Caledonia since the health authorities have integrated these models into their decision making process and vector control policies. This raises the possibility to provide similar early warning systems in other countries