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Hypertrophic cardiomyopathy (HCM) is the most common genetically determined heart pathology and is often accompanied by fatal complications. Today, the traditional view of the monogenic origin of HCM is being replaced by the idea of it as an oligogenic disease, the clinical phenotype of which is determined not only by mutations in the genes encoding sarcomere proteins in cardiomyocytes, but also by the contribution of other genes (other sarcomeric genes, non-sarcomeric protein-coding modifier genes, and regulatory non-coding RNA genes). Transcriptome analysis is an informative approach for elucidating the nature of HCM, which allows one to evaluate the expression of all genes, evaluate the effect of mutations in a gene on its transcript level, and reveal the mechanisms involved in the regulation of gene expression. This review presents an analysis of published data on the spectra of genes whose differential expression has been detected in the myocardium during the development of HCM in humans and model animals. Special attention is paid to the genes of non-coding regulatory RNAs miRNAs and long non-coding RNAs, which may be involved in the pathogenesis of the disease. We analyzed studies devoted to the investigation of miRNA levels in the blood of HCM patients to explore the available diagnostic and prognostic biomarkers of the disease. The totality of the reviewed data, despite their relative scarcity, indicates the effectiveness of transcriptome profiling in studying the molecular mechanisms of HCM pathogenesis.Parkinson's disease is a widespread neurodegenerative disease, which is characterized by the death of dopaminergic neurons in the substantia nigra of the midbrain. Clinically, the disease is manifested by tremor, bradykinesia, muscle rigidity, and other motor and non-motor symptoms that ultimately lead to disability. To date, there are only symptomatic treatment options for Parkinson's disease; therefore, the search for new approaches is one of the most important directions of therapy for this disease. In the 1970's the idea of using cell replacement therapy based on the local nature and specificity of damage to a particular type of neuron in Parkinson's disease originated. The selection of the source of cells, the method and place of introduction, indications for this operation, and peculiarities of patient management have been in development for a long time. The efficiency of cell replacement therapy has been confirmed by a number of studies on animal models. Clinical trials have already begun and several more are planned soon. This review describes the main prerequisites for the use of cell replacement therapy in Parkinson's disease, the stages of development of this method, and clinical trials that have started in the last few years.To design an effective and safe vaccine against betacoronaviruses, it is necessary to elicit a combination of strong humoral and cell-mediated immune responses as well as to minimize the risk of antibody-dependent enhancement of viral infection. This phenomenon was observed in animal trials of experimental vaccines against SARS-CoV-1 and MERS-CoV that were developed based on inactivated coronavirus or vector constructs expressing the spike protein (S) of the virion. The substitution and glycosylation of certain amino acids in the antigenic determinants of the S-protein, as well as its conformational changes, can lead to the same effect in a new experimental vaccine against SARS-CoV-2. This review outlines approaches for developing vaccines against the new SARS-CoV-2 coronavirus that are based on non-pathogenic viral vectors. For efficient prevention of infections caused by respiratory pathogens the ability of the vaccine to stimulate mucosal immunity in the respiratory tract is important. Such a vaccine can be developed using non-pathogenic Sendai virus vector, since it can be administered intranasally and induce a mucosal immune response that strengthens the antiviral barrier in the respiratory tract and provides reliable protection against infection. The mucosal immunity and the production of IgA antibodies accompanying its development reduces the likelihood of developing an antibody-dependent infection enhancement, which is usually associated only with immunopathological IgG antibodies.The mechanisms of aging are described at the molecular, cell, tissue, and systemic levels. Primary age-dependent molecular lesions activate the cell stress response to compensate for the resulting defects, but the mechanisms that recover and maintain homeostasis are gradually deteriorated. When the amount of errors reaches a critical threshold in regulatory networks, a phase transition from health to disease occurs at the systemic level. find more The review considers the approaches to quantitative assessment of the aging process (biomarkers of aging) and promising interventions to slow down the aging process and to reduce the risk of age-dependent diseases.The role of a carbon source containing oxygen groups on the physicochemical properties of carbon nano-onions (CNOs) was investigated. Two oils, castor oil (with O groups) and paraffin oil (without O groups) were converted to CNOs in gram-scale yields using an open flame pyrolysis procedure. The products were heated under argon at 900 °C for varying times (1 h, 2 h, 3 h), to investigate the temperature dependence on their structural properties. TGA studies indicated different decomposition behaviour for the different samples with the annealed paraffinic CNOs (CNOP) having a higher decomposition temperature (>600 °C) than the castor oil derived CNOs (CNOC) ( less then 600 °C). TEM images revealed formation of typical chain-like quasi-spherical nanostructures with particles size distributions for the CNOP (22-32 ± 7.8 nm) and the CNOC (44-51 ± 9.9 nm) materials. A detailed Raman analysis of the CNOs revealed that the graphicity of the CNOs varied with both the carbon oil source and the annealing time. Deconvolution of the first order Raman spectra revealed changes in the parameters of the major Raman bands that were then correlated with defect density ratios. Finally, bandwidth analysis depicted the dependence of the graphicity of the CNOs with heat treatment. The data thus indicate that the presence of oxygen in the carbon source provides a method for producing different CNOs and that simple procedures can be used to produce these different CNOs.After the spread of COVID-19 out of China, the evolution of the pandemic has shown remarkable similarities and differences between countries around the world. Eventually, such characteristics are also observed between different regions of the same country. Herewith, we introduce a general method that allows us to compare the evolution of the pandemic in different localities inside a large territorial country in the case of the present study, Brazil. To evaluate our method, we study the heterogeneous spreading of the COVID-19 outbreak until May 30th, 2020, in Brazil and its 27 federative units, which has been seen as the current epicenter of the pandemic in South America. Each one of the federative units may be considered a cluster of interacting people with similar habits and distributed to a highly heterogeneous demographic density over the entire country. Our first set of results regarding the time-series analysis shows that (i) a power-law growth of the cumulative number of infected people is observed for ings, we projected the effects of increase or decrease of the ERN and concluded that if the value of [Formula see text] increases 20%, not only the peak might grow at least 40% but also its occurrence might be anticipated, which hastens the collapse of the public health-care system. In all cases, keeping the ERN 20% below the current value can save thousands of people in the long term.Group-IV based light sources are one of the missing links towards fully CMOS compatible photonic circuits. Combining both silicon process compatibility and a pseudo-direct band gap, germanium is one of the most viable candidates. To overcome the limitation of the indirect band gap and turning germanium in an efficient light emitting material, the application of strain has been proven as a promising approach. So far the experimental verification of strain induced bandgap modifications were based on optical measurements and restricted to moderate strain levels. In this work, we demonstrate a methodology enabling to apply tunable tensile strain to intrinsic germanium [Formula see text] nanowires and simultaneously perform in situ optical as well as electrical characterization. Combining I/V measurements and μ-Raman spectroscopy at various strain levels, we determined a decrease of the resistivity by almost three orders of magnitude for strain levels of ∼5%. Thereof, we calculated the strain induced band gap narrowing in remarkable accordance to recently published simulation results for moderate strain levels up to 3.6%. Deviations for ultrahigh strain values are discussed with respect to surface reconfiguration and reduced charge carrier scattering time.Experimental validation of a synthetic aperture imaging technique using a therapeutic random phased array is described, demonstrating the dual nature of imaging and therapy of such an array. The transducer is capable of generating both continuous wave high intensity beams for ablating the tumor and low intensity ultrasound pulses to image the target area. Pulse-echo data is collected from the elements of the phased array to obtain B-mode images of the targets. Since therapeutic arrays are optimized for therapy only with concave apertures having low f-number and large directive elements often coarsely sampled, imaging can not be performed using conventional beamforming. We show that synthetic aperture imaging is capable of processing the acquired RF data to obtain images of the field of interest. Simulations were performed to compare different synthetic aperture imaging techniques to identify the best algorithm in terms of spatial resolution. Experimental validation was performed using a 1 MHz, 256-elements, sguidance and treatment planning of the HIFU procedure.The way in which interactions between mechanics and biochemistry lead to the emergence of complex cell and tissue organization is an old question that has recently attracted renewed interest from biologists, physicists, mathematicians and computer scientists. Rapid advances in optical physics, microscopy and computational image analysis have greatly enhanced our ability to observe and quantify spatiotemporal patterns of signalling, force generation, deformation, and flow in living cells and tissues. Powerful new tools for genetic, biophysical and optogenetic manipulation are allowing us to perturb the underlying machinery that generates these patterns in increasingly sophisticated ways. Rapid advances in theory and computing have made it possible to construct predictive models that describe how cell and tissue organization and dynamics emerge from the local coupling of biochemistry and mechanics. Together, these advances have opened up a wealth of new opportunities to explore how mechanochemical patterning shapes organismal development. In this roadmap, we present a series of forward-looking case studies on mechanochemical patterning in development, written by scientists working at the interface between the physical and biological sciences, and covering a wide range of spatial and temporal scales, organisms, and modes of development. Together, these contributions highlight the many ways in which the dynamic coupling of mechanics and biochemistry shapes biological dynamics from mechanoenzymes that sense force to tune their activity and motor output, to collectives of cells in tissues that flow and redistribute biochemical signals during development.
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