980 resultados para Cellular process
Resumo:
There is a growing interest in “medical gasses” for their antibacterial and anti-inflammatory properties. Hydrogen sulfide (H2S), a member of the family of gasotransmitters, is in fact increasingly being recognized as an important signaling molecule, but its precise role in the regulation of the inflammatory response is still not clear. For this reason, the aim of the first part of this thesis was to investigate the effects of H2S on the expression of pro-inflammatory cytokines, such as MCP-1, by using an in vitro model composed by both primary monocytes-derived macrophages cultures and the human monocytic cell line U937 infected with Mycoplasma fermentans, a well-known pro-inflammatory agent. In our experiments, we observed a marked increase in the production of pro-inflammatory cytokines in infected cells. In particular, MCP-1 was induced both at the RNA and at the protein level. To test the effects of H2S on infected cells, we treated the cells with two different H2S donors (NaHS and GYY4137), showing that both H2S treatments had anti-inflammatory effects in Mycoplasma-infected cells: the levels of MCP-1, both mRNA expression and protein production, were reduced. Our subsequent studies aimed at understanding the molecular mechanisms responsible for these effects, focused on two specific molecular pathways, both involved in inflammation: the NF-κB and the Nrf2 pathway. After treatment with pharmacological inhibitors, we demonstrated that Mycoplasma fermentans induces MCP-1 expression through the TLR-NF-κB pathway with the nuclear translocation of its subunits, while treatment with H2S completely blocked the nuclear translocation of NF-κB heterodimer p65/p50. Then, once infected cells were treated with H2S donors, we observed an increased protective effect of Nrf2 and also a decrease in ROS production. These results highlight the importance of H2S in reducing the inflammatory process caused by Mycoplasma fermentans. To this regard, it should be noted that several projects are currently ongoing to develop H2S-releasing compounds as candidate drugs capable of alleviating cell deterioration and to reduce the rate of decline in organ function. In the second part of this study, we investigated the role of Mycoplasma infection in cellular transformation. Infectious agents are involved in the etiology of many different cancers and a number of studies are still investigating the role of microbiota in tumor development. Mycoplasma has been associated with some human cancers, such as prostate cancer and non-Hodgkin’s lymphoma in HIV-seropositive people, and its potential causative role and molecular mechanisms involved are being actively investigated. To this regard, in vitro studies demonstrated that, upon infection, Mycoplasma suppresses the transcriptional activity of p53, key protein in the cancer suppression. As a consequence, infected cells were less susceptible to apoptosis and proliferated more than the uninfected cells. The mechanism(s) responsible for the Mycoplasma-induced inhibitory effect on p53 were not determined. Aim of the second part of this thesis was to better understand the tumorigenic role of the microorganism, by investigating more in details the effect(s) of Mycoplasma on p53 activity in an adenocarcinoma HCT116 cell line. Treatment of Mycoplasma-infected cells with 5FU or with Nutlin, two molecules that induce p53 activity, resulted in cellular proliferation comparable to untreated controls. These results suggested that Mycoplasma infection inhibited p53 activity. Immunoprecipitation of p53 with specific antibodies, and subsequent Gas Chromatography and Mass Spectroscopy (GC-MS) assays, allowed us to identify several Mycoplasma-specific proteins interacting with p53, such as DnaK, a prokaryotic heat shock protein and stress inducible chaperones. In cells transfected with DnaK we observed i) reduced p53 protein levels; ii) reduced activity and expression of p21, Bax and PUMA, iii) a marked increase in cells leaving G1 phase. Taken together, these data show an interaction between the human p53 and the Mycoplasma protein DnaK, with the consequent decreased p53 activity and decreased capability to respond to DNA damage and prevent cell proliferation. Our data indicate that Mycoplasma could be involved in cancer formation and the mechanism(s) has the potential to be a target for cancer diagnosis and treatment(s).
Resumo:
The aim of this study was to systematically investigate the factors considered to be responsible for anchorage-dependent cell behaviour to determine which, if any, of these factors exerts greater influence. An efficient means of doing so is the in vitro fibroblast cell culture model. The interaction of fibroblasts with novel substrata gives information about how a biological system reacts to a foreign material. The may ultimately lead to the development of improved biomaterials. This interdisciplinary study combines the elements of surface characterisation and biological testing to determine the nature of the biomaterial/host interface. Polarity and surface charge were found to have an important influence on fibroblast adhesion to hydrogel polymers, by virtue of their water-structuring effects. The same factors were found to affect cell adhesion on undegraded PHB-HV copolymers and their blends with polysaccharides. On degraded PHB-HV copolymers, the degradation process itself played the greatest role in influencing cell response. Increasing surface charge and mechanical instability in these polymers inhibited cell adhesion. Based on the observations of hydrogels and PHB-copolymers a novel material, gel-spun PHB was designed for use as a wound scaffold. In vitro tests using human and mammalian fibroblasts accentuated the importance of polarity and surface charge in determining cellular response. The overall view of cellular behaviour on a broad spectrum of materials highlighted the effects that polarity and surface charge have on water-structuring, and how this affects interfacial conversion. In degradable systems, mechanical stability also plays an inportant role in determining anchorage-dependent cell behaviour.
Resumo:
Glioblastoma Multiforme (GBM) is a highly malignant form of brain cancer for which there is no effective cure. The over-expression of a number of genes, including the epidermal growth factor receptor (EGFr), has been implicated as a causative factor of tumourigenesis. Ribozymes are a class of ribonucleic acid that possess enzymatic properties. They can inhibit gene-expression in a highly sequence specific manner by catalysing the trans-cleavage of target RNA. The potential use of synthetic hammerhead ribozymes as novel anti-brain tumour agents was investigated in this study. The successful use of synthetic, exogenously administered ribozymes for such applications will require chemical modifications that improve biological stability and a fundamental understanding of cellular uptake mechanisms. Chimeric 2'-O-methylated hammerhead ribozymes proved to be significantly more stable (>4000-fold) in serum than unmodified RNA ribozymes and exhibited high in vitro catalytic activity. The cellular association of an internally [32P]-labelled 2'-O-methylated chimeric ribozyme in U87-MG human glioma cells was temperature-, energy- and pH-dependent and involved an active process that could be competed with a variety of polyanions. Indications are that the predominant mechanism of uptake is by adsorptive and / or receptor mediated endocytosis. Twenty 2'-O-methylated chimeric ribozymes were designed to cleave various sites along the EGFr mRNA. In vitro, 18 ribozymes exhibited high activity in cleaving a complementary short substrate. Using LipofectAMINETM as a delivery agent, the efficacy of these ribozymes was evaluated in the A431 cell line, which expresses amplified levels of EGFr. Studies revealed that although the ribozymes were taken up by the cells and remained stable over a period of 4 days, no significant reduction in either EGFr expression or cell proliferation was evident. The presence of telomerase, a ribonucleoprotein responsible for telomere elongation, has been strongly associated with tumour progression. The biological activity of a 2'-O-methylated ribozyme targeted against the RNA component of telomerase was determined. The ribozyme exhibited specific dose-dependent inhibition of telomerase activity in U87-MG cell lysates with an IC50 of –4μM. When 4μM ribozyme was delivered to intact U87-MG cells, complexed to LipofectAMINETM, telomerase activity was significantly reduced to 74.5±4.17% of the untreated control. Free ribozyme showed no significant inhibitory effect demonstrating the importance of an appropriate delivery system for optimum delivery of exogenously administered ribozymes.
Resumo:
Hammerhead ribozymes are potent RNA molecules which have the potential to specifically inhibit gene expression by catalysing the trans-cleavage of mRNAs. However, they are unstable in biological fluids and cellular delivery poses a problem. Site-specific chemical modification of hammerhead ribozymes was evaluated as a means of enhancing biological stability. Chimeric, 2'-O-methylated ribozymes, containing only five unmodified ribonucleotides, were catalytically active in vitro (kcat = 1.46 min-1) and were significantly more stable in serum and lysosomal enzymes than unmodified (all-RNA) counterparts. Furthermore, they remained undegraded in cell-containing media for up to 8 hours. Stability enhancement allowed cellular uptake properties of radiolabelled ribozymes to be assessed following exogenous delivery. Studies in vulval and glial cell lines indicated that chimeric ribozymes became cell-associated via an inefficient process, which was energy and concentration dependant. A considerable proportion of ribozymes remained bound to cell-surface components, however, a small proportion (<1%) were internalised via mechanisms of adsorptive and / or receptor mediated endocytosis. Fluorescent microscopy indicated that ribozymes were localised within endosomal / lysosomal vesicles following cell entry. This was confirmed by immuno-electron microscopy, which allowed the detection of biotin-labelled ribozymes within the cell ultrastructure. Despite the predominant localisation within endocytic vesicles, a small proportion of internalised ribozymes appeared able to exit these compartments and penetrate target sites within the nucleus and cytoplasm. The ribozymes designed in this report were directed against the epidermal growth factor receptor mRNA, which is over-expressed in a malignant brain disease called glioblastoma multiforme. In order to examine the fate of ribozymes in the brain, the distribution of FITC-labelled ribozymes was examined following intra-cerebro ventricular injection to mice. FITC-ribozymes demonstrated high punctate pattern of distribution within the striatum and cortex, which appeared to represent localisation within cell bodies and dendritic processes. This suggested that delivery to glial cells in vivo may be possible. Finally, strategies were investigated to enhance the cellular delivery of ribozymes. Conjugation of ribozymes to anti~transferrin receptor antibodies improved cellular uptake 3-fold as a result of a specific interaction with transferrin receptors. Complexation with cationic liposomes also significantly improved cell association, however, some toxiclty was observed and this could be a limitation to their use. Overall, it would appear that hammerhead ribozymes can be chemically stabilised to allow direct exogenous administration in vivo. However, additional delivery strategies are probably required to improve cellular uptake, and thus, allow ribozymes to achieve their full potential as pharmaceutical agents. KEYWORDS: Catalytic
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Introduction: Diabetic nephropathy (DN) is the leading cause of chronic kidney failure, however the mechanisms underlying the characteristic expansion of the extracellular matrix (ECM) in diabetic kidneys remain controversial and unclear. In non-diabetic kidney scarring the protein crosslinking enzyme tissue transglutaminase (tTg) has been implicated in this process by the formation of increased ε-(γ-glutamyl)lysine bonds between ECM components in both experimental and human disease. Studies in db/db diabetic mice and in streptozotocin-treated rats have suggested a similar mechanism, although the relevance of this to human disease has not been addressed. Methods: We have undertaken a retrospective analysis of renal biopsies from 16 DN patients with type 2 diabetes mellitus using an immunohistochemical and immunofl uorescence approach, with tTg and ε-(γ-glutamyl)lysine crosslink quantified by confocal microscopy. Results: Immunofl uorescent analysis of human biopsies (confocal microscopy) showed increases in levels of tTg (+1,266%, p <0.001) and ε-(γ-glutamyl)lysine (+486%, p <0.001) in kidneys with DN compared to normal. Changes were predominantly in the extracellular periglomerular and peritubular areas. tTg staining correlated with e-(?-glutamyl)lysine (r = 0.615, p <0.01) and renal scarring (Masson's trichrome, r = 0.728, p <0.001). Significant changes in e-(?-glutamyl)lysine were also noted intracellularly in some (=5%) tubular epithelial cells. This is consistent with cells undergoing a novel transglutaminase-mediated cell death process in response to Ca influx and subsequent activation of intracellular tTg. Conclusion: Changes in tTg and ε-(γ- glutamyl)lysine occur in human DN. Cellular export of tTg may therefore be a factor in the perpetuation of DN by crosslinking and stabilisation of the ECM, while intracellular activation may lead to cell death contributing towards tubular atrophy. Copyright © 2004 S. Karger AG, Basel.
Resumo:
Since the first discovery of S100 members in 1965, their expressions have been affiliated with numerous biological functions in all cells of the body. However, in the recent years, S100A4, a member of this superfamily has emerged as the central target in generating new avenue for cancer therapy as its overexpression has been correlated with cancer patients’ mortality as well as established roles as motility and metastasis promoter. As it has no catalytic activity, S100A4 has to interact with its target proteins to regulate such effects. Up to date, more than 10 S100A4 target proteins have been identified but the mechanical process regulated by S100A4 to induce motility remains vague. In this work, we demonstrated that S100A4 overexpression resulted in actin filaments disorganisation, reduction in focal adhesions, instability of filopodia as well as exhibiting polarised morphology. However, such effects were not observed in truncated versions of S100A4 possibly highlighting the importance of C terminus of S100A4 target recognition. In order to assess some of the intracellular mechanisms that may be involved in promoting migrations, different strategies were used, including active pharmaceutical agents, inhibitors and knockdown experiments. Treatment of S100A4 overexpressing cells with blebbistatin and Y-27632, non muscle myosin IIA (NMMIIA) inhibitors, as well as knockdown of NMMIIA, resulted in motility enhancement and focal adhesions reduction proposing that NMMIIA assisted S100A4 in regulating cell motility but its presence is not essential. Further work done using Cos 7 cell lines, naturally lacking NMMIIA, further demonstrated that S100A4 is capable of regulating cell motility independent of NMMIIA, possibly through poor maturation of focal adhesion. Given that all these experiments highlighted the independency of NMMIIA towards migration, a protein that has been put at the forefront of S100A4-induced motility, we aimed to gather further understanding regarding the other molecular mechanisms that may be at play for motility. Using high throughput imaging (HCI), 3 compounds were identified to be capable of inhibiting S100A4-mediated migration. Although we have yet to investigate the underlying mechanism for their effects, these compounds have been shown to target membrane proteins and the externalisation of S100 proteins, for at least one of the compounds, leading us to speculate that preventing externalisation of S100A4 could potentially regulate cell motility.
Resumo:
The Internet has become an integral part of our nation’s critical socio-economic infrastructure. With its heightened use and growing complexity however, organizations are at greater risk of cyber crimes. To aid in the investigation of crimes committed on or via the Internet, a network forensics analysis tool pulls together needed digital evidence. It provides a platform for performing deep network analysis by capturing, recording and analyzing network events to find out the source of a security attack or other information security incidents. Existing network forensics work has been mostly focused on the Internet and fixed networks. But the exponential growth and use of wireless technologies, coupled with their unprecedented characteristics, necessitates the development of new network forensic analysis tools. This dissertation fostered the emergence of a new research field in cellular and ad-hoc network forensics. It was one of the first works to identify this problem and offer fundamental techniques and tools that laid the groundwork for future research. In particular, it introduced novel methods to record network incidents and report logged incidents. For recording incidents, location is considered essential to documenting network incidents. However, in network topology spaces, location cannot be measured due to absence of a ‘distance metric’. Therefore, a novel solution was proposed to label locations of nodes within network topology spaces, and then to authenticate the identity of nodes in ad hoc environments. For reporting logged incidents, a novel technique based on Distributed Hash Tables (DHT) was adopted. Although the direct use of DHTs for reporting logged incidents would result in an uncontrollably recursive traffic, a new mechanism was introduced that overcome this recursive process. These logging and reporting techniques aided forensics over cellular and ad-hoc networks, which in turn increased their ability to track and trace attacks to their source. These techniques were a starting point for further research and development that would result in equipping future ad hoc networks with forensic components to complement existing security mechanisms.
Resumo:
An iterative travel time forecasting scheme, named the Advanced Multilane Prediction based Real-time Fastest Path (AMPRFP) algorithm, is presented in this dissertation. This scheme is derived from the conventional kernel estimator based prediction model by the association of real-time nonlinear impacts that caused by neighboring arcs’ traffic patterns with the historical traffic behaviors. The AMPRFP algorithm is evaluated by prediction of the travel time of congested arcs in the urban area of Jacksonville City. Experiment results illustrate that the proposed scheme is able to significantly reduce both the relative mean error (RME) and the root-mean-squared error (RMSE) of the predicted travel time. To obtain high quality real-time traffic information, which is essential to the performance of the AMPRFP algorithm, a data clean scheme enhanced empirical learning (DCSEEL) algorithm is also introduced. This novel method investigates the correlation between distance and direction in the geometrical map, which is not considered in existing fingerprint localization methods. Specifically, empirical learning methods are applied to minimize the error that exists in the estimated distance. A direction filter is developed to clean joints that have negative influence to the localization accuracy. Synthetic experiments in urban, suburban and rural environments are designed to evaluate the performance of DCSEEL algorithm in determining the cellular probe’s position. The results show that the cellular probe’s localization accuracy can be notably improved by the DCSEEL algorithm. Additionally, a new fast correlation technique for overcoming the time efficiency problem of the existing correlation algorithm based floating car data (FCD) technique is developed. The matching process is transformed into a 1-dimensional (1-D) curve matching problem and the Fast Normalized Cross-Correlation (FNCC) algorithm is introduced to supersede the Pearson product Moment Correlation Co-efficient (PMCC) algorithm in order to achieve the real-time requirement of the FCD method. The fast correlation technique shows a significant improvement in reducing the computational cost without affecting the accuracy of the matching process.
Resumo:
The Internet has become an integral part of our nation's critical socio-economic infrastructure. With its heightened use and growing complexity however, organizations are at greater risk of cyber crimes. To aid in the investigation of crimes committed on or via the Internet, a network forensics analysis tool pulls together needed digital evidence. It provides a platform for performing deep network analysis by capturing, recording and analyzing network events to find out the source of a security attack or other information security incidents. Existing network forensics work has been mostly focused on the Internet and fixed networks. But the exponential growth and use of wireless technologies, coupled with their unprecedented characteristics, necessitates the development of new network forensic analysis tools. This dissertation fostered the emergence of a new research field in cellular and ad-hoc network forensics. It was one of the first works to identify this problem and offer fundamental techniques and tools that laid the groundwork for future research. In particular, it introduced novel methods to record network incidents and report logged incidents. For recording incidents, location is considered essential to documenting network incidents. However, in network topology spaces, location cannot be measured due to absence of a 'distance metric'. Therefore, a novel solution was proposed to label locations of nodes within network topology spaces, and then to authenticate the identity of nodes in ad hoc environments. For reporting logged incidents, a novel technique based on Distributed Hash Tables (DHT) was adopted. Although the direct use of DHTs for reporting logged incidents would result in an uncontrollably recursive traffic, a new mechanism was introduced that overcome this recursive process. These logging and reporting techniques aided forensics over cellular and ad-hoc networks, which in turn increased their ability to track and trace attacks to their source. These techniques were a starting point for further research and development that would result in equipping future ad hoc networks with forensic components to complement existing security mechanisms.
Resumo:
The primary purpose of this thesis was to present a theoretical large-signal analysis to study the power gain and efficiency of a microwave power amplifier for LS-band communications using software simulation. Power gain, efficiency, reliability, and stability are important characteristics in the power amplifier design process. These characteristics affect advance wireless systems, which require low-cost device amplification without sacrificing system performance. Large-signal modeling and input and output matching components are used for this thesis. Motorola's Electro Thermal LDMOS model is a new transistor model that includes self-heating affects and is capable of small-large signal simulations. It allows for most of the design considerations to be on stability, power gain, bandwidth, and DC requirements. The matching technique allows for the gain to be maximized at a specific target frequency. Calculations and simulations for the microwave power amplifier design were performed using Matlab and Microwave Office respectively. Microwave Office is the simulation software used in this thesis. The study demonstrated that Motorola's Electro Thermal LDMOS transistor in microwave power amplifier design process is a viable solution for common-source amplifier applications in high power base stations. The MET-LDMOS met the stability requirements for the specified frequency range without a stability-improvement model. The power gain of the amplifier circuit was improved through proper microwave matching design using input/output-matching techniques. The gain and efficiency of the amplifier improve approximately 4dB and 7.27% respectively. The gain value is roughly .89 dB higher than the maximum gain specified by the MRF21010 data sheet specifications. This work can lead to efficient modeling and development of high power LDMOS transistor implementations in commercial and industry applications.
Resumo:
Immunity is broadly defined as a mechanism of protection against non-self entities, a process which must be sufficiently robust to both eliminate the initial foreign body and then be maintained over the life of the host. Life-long immunity is impossible without the development of immunological memory, of which a central component is the cellular immune system, or T cells. Cellular immunity hinges upon a naïve T cell pool of sufficient size and breadth to enable Darwinian selection of clones responsive to foreign antigens during an initial encounter. Further, the generation and maintenance of memory T cells is required for rapid clearance responses against repeated insult, and so this small memory pool must be actively maintained by pro-survival cytokine signals over the life of the host.
T cell development, function, and maintenance are regulated on a number of molecular levels through complex regulatory networks. Recently, small non-coding RNAs, miRNAs, have been observed to have profound impacts on diverse aspects of T cell biology by impeding the translation of RNA transcripts to protein. While many miRNAs have been described that alter T cell development or functional differentiation, little is known regarding the role that miRNAs have in T cell maintenance in the periphery at homeostasis.
In Chapter 3 of this dissertation, tools to study miRNA biology and function were developed. First, to understand the effect that miRNA overexpression had on T cell responses, a novel overexpression system was developed to enhance the processing efficiency and ultimate expression of a given miRNA by placing it within an alternative miRNA backbone. Next, a conditional knockout mouse system was devised to specifically delete miR-191 in a cell population expressing recombinase. This strategy was expanded to permit the selective deletion of single miRNAs from within a cluster to discern the effects of specific miRNAs that were previously inaccessible in isolation. Last, to enable the identification of potentially therapeutically viable miRNA function and/or expression modulators, a high-throughput flow cytometry-based screening system utilizing miRNA activity reporters was tested and validated. Thus, several novel and useful tools were developed to assist in the studies described in Chapter 4 and in future miRNA studies.
In Chapter 4 of this dissertation, the role of miR-191 in T cell biology was evaluated. Using tools developed in Chapter 3, miR-191 was observed to be critical for T cell survival following activation-induced cell death, while proliferation was unaffected by alterations in miR-191 expression. Loss of miR-191 led to significant decreases in the numbers of CD4+ and CD8+ T cells in the periphery lymph nodes, but this loss had no impact on the homeostatic activation of either CD4+ or CD8+ cells. These peripheral changes were not caused by gross defects in thymic development, but rather impaired STAT5 phosphorylation downstream of pro-survival cytokine signals. miR-191 does not specifically inhibit STAT5, but rather directly targets the scaffolding protein, IRS1, which in turn alters cytokine-dependent signaling. The defect in peripheral T cell maintenance was exacerbated by the presence of a Bcl-2YFP transgene, which led to even greater peripheral T cell losses in addition to developmental defects. These studies collectively demonstrate that miR-191 controls peripheral T cell maintenance by modulating homeostatic cytokine signaling through the regulation of IRS1 expression and downstream STAT5 phosphorylation.
The studies described in this dissertation collectively demonstrate that miR-191 has a profound role in the maintenance of T cells at homeostasis in the periphery. Importantly, the manipulation of miR-191 altered immune homeostasis without leading to severe immunodeficiency or autoimmunity. As much data exists on the causative agents disrupting active immune responses and the formation of immunological memory, the basic processes underlying the continued maintenance of a functioning immune system must be fully characterized to facilitate the development of methods for promoting healthy immune function throughout the life of the individual. These findings also have powerful implications for the ability of patients with modest perturbations in T cell homeostasis to effectively fight disease and respond to vaccination and may provide valuable targets for therapeutic intervention.
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While molecular and cellular processes are often modeled as stochastic processes, such as Brownian motion, chemical reaction networks and gene regulatory networks, there are few attempts to program a molecular-scale process to physically implement stochastic processes. DNA has been used as a substrate for programming molecular interactions, but its applications are restricted to deterministic functions and unfavorable properties such as slow processing, thermal annealing, aqueous solvents and difficult readout limit them to proof-of-concept purposes. To date, whether there exists a molecular process that can be programmed to implement stochastic processes for practical applications remains unknown.
In this dissertation, a fully specified Resonance Energy Transfer (RET) network between chromophores is accurately fabricated via DNA self-assembly, and the exciton dynamics in the RET network physically implement a stochastic process, specifically a continuous-time Markov chain (CTMC), which has a direct mapping to the physical geometry of the chromophore network. Excited by a light source, a RET network generates random samples in the temporal domain in the form of fluorescence photons which can be detected by a photon detector. The intrinsic sampling distribution of a RET network is derived as a phase-type distribution configured by its CTMC model. The conclusion is that the exciton dynamics in a RET network implement a general and important class of stochastic processes that can be directly and accurately programmed and used for practical applications of photonics and optoelectronics. Different approaches to using RET networks exist with vast potential applications. As an entropy source that can directly generate samples from virtually arbitrary distributions, RET networks can benefit applications that rely on generating random samples such as 1) fluorescent taggants and 2) stochastic computing.
By using RET networks between chromophores to implement fluorescent taggants with temporally coded signatures, the taggant design is not constrained by resolvable dyes and has a significantly larger coding capacity than spectrally or lifetime coded fluorescent taggants. Meanwhile, the taggant detection process becomes highly efficient, and the Maximum Likelihood Estimation (MLE) based taggant identification guarantees high accuracy even with only a few hundred detected photons.
Meanwhile, RET-based sampling units (RSU) can be constructed to accelerate probabilistic algorithms for wide applications in machine learning and data analytics. Because probabilistic algorithms often rely on iteratively sampling from parameterized distributions, they can be inefficient in practice on the deterministic hardware traditional computers use, especially for high-dimensional and complex problems. As an efficient universal sampling unit, the proposed RSU can be integrated into a processor / GPU as specialized functional units or organized as a discrete accelerator to bring substantial speedups and power savings.
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Combined conduction–convection–radiation heat transfer is investigated numerically in a micro-channel filled with a saturated cellular porous medium, with the channel walls held at a constant heat flux. Invoking the velocity slip and temperature jump, the thermal behaviour of the porous–fluid system are studied by considering hydrodynamically fully developed flow and applying the Darcy–Brinkman flow model. One energy equation model based on the local thermal equilibrium condition is adopted to evaluate the temperature field within the porous medium. Combined conduction and radiation heat transfer is treated as an effective conduction process with a temperature-dependent effective thermal conductivity. Results are reported in terms of the average Nusselt number and dimensionless temperature distribution, as a function of velocity slip coefficient, temperature jump coefficient, porous medium shape parameter and radiation parameters. Results show that increasing the radiation parameter (Tr)(Tr) and the temperature jump coefficient flattens the dimensionless temperature profile. The Nusselt numbers are more sensitive to the variation in the temperature jump coefficient rather than to the velocity slip coefficient. Such that for high porous medium shape parameter, the Nusselt number is found to be independent of velocity slip. Furthermore, it is found that as the temperature jump coefficient increases, the Nusselt number decrease. In addition, for high temperature jump coefficients, the Nusselt number is found to be insensitive to the radiation parameters and porous medium shape parameter. It is also concluded that compared with the conventional macro-channels, wherein using a porous material enhances the rate of heat transfer (up to about 40 % compared to the clear channel), insertion of a porous material inside a micro-channel in slip regime does not effectively enhance the rate of heat transfer that is about 2 %.
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Alzheimer’s disease (AD) is the most prevalent age-related neurodegenerative disease that leads to cognitive impairment and dementia. The major defined pathological hallmark of AD is the accumulation of amyloid beta (Aβ), a neurotoxic peptide, derived from beta and gamma-secretase cleavage of the amyloid precursor protein (APP). It has been described that cellular prion protein (PrPC) plays a role in the pathogenesis of Alzheimer disease. Although, the role of PrPC is still unclear, previous studies showed contradictious results. To elucidate this issue, the main objective of the present study is to investigate the influence of a knockout of the PRNP gene in 5XFAD mice, 5xFAD mice exhibited 5 mutations related to familial Alzheimer disease. These mice show an Aβ1-42 accumulation and an increased neuronal loss during aging. To create a bi-transgenic 5xFAD mice were crossed with Prnp0/0 Zurich 1 mice (prion protein knockout mice). We subjected two transgenic mice (5xFAD and Prnp0/05xFAD) at different ages (3, 9 and 12 months of age) to a battery of task to evaluate cognitive and motoric deficits and a biochemical analysis (ELISA, western blot and immunohistochemistry) to investigate the regulation and potential involvement of downstream signaling proteins in the Aβ induced toxicity process dependent of the PrPC concentration. The study revealed that the deficits induced by Aβ mediated toxicity appeared earlier in 5xFAD mice (9 months of age) than in Prnp0/05xFAD (12 months of age). Investigating the amount of amyloid beta in 5xFAD mice we observed a PrPC dependent regulation in 9 month-old animals of Aβ1−40 but not of the toxic form Aβ1−42. We did not found in Prnp0/05xFAD mice the up-regulation of P-Fyn, Fyn or Cav-1 as we found in 5xFAD mice. This suggests an important role of PrPC in Alzheimer’s disease as a promoter of toxic effect of Aβ oligomers. Our results may suggest the loss of PrPC delays the toxicity of amyloid beta. In conclusion, our data support a role of PrPC as a mediator of Aβ toxicity in AD by promoting early onset of disease.
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Phagocytosis of bacteria by specialized blood cells, known as hemocytes, is a vital component of Drosophila cellular immunity. To identify novel genes that mediate the cellular response to bacteria, we conducted three separate genetic screens using the Drosophila Genetic Reference Panel (DGRP). Adult DGRP lines were tested for the ability of their hemocytes to phagocytose the Gram-positive bacteria Staphylococcus aureus or the Gram-negative bacteria Escherichia coli. The DGRP lines were also screened for the ability of their hemocytes to clear S. aureus infection through the process of phagosome maturation. Genome-wide association analyses were performed to identify potentially relevant single nucleotide polymorphisms (SNPs) associated with the cellular immune phenotypes. The S. aureus phagosome maturation screen identified SNPs near or in 528 candidate genes, many of which have no known role in immunity. Three genes, dpr10, fred, and CG42673, were identified whose loss-of-function in blood cells significantly impaired the innate immune response to S. aureus. The DGRP S. aureus screens identified variants in the gene, Ataxin 2 Binding Protein-1 (A2bp1) as important for the cellular immune response to S. aureus. A2bp1 belongs to the highly conserved Fox-1 family of RNA-binding proteins. Genetic studies revealed that A2bp1 transcript levels must be tightly controlled for hemocytes to successfully phagocytose S. aureus. The transcriptome of infected and uninfected hemocytes from wild type and A2bp1 mutant flies was analyzed and it was found that A2bp1 negatively regulates the expression of the Immunoglobulin-superfamily member Down syndrome adhesion molecule 4 (Dscam4). Silencing of A2bp1 and Dscam4 in hemocytes rescues the fly’s immune response to S. aureus indicating that Dscam4 negatively regulates S. aureus phagocytosis. Overall, we present an examination of the cellular immune response to bacteria with the aim of identifying and characterizing roles for novel mediators of innate immunity in Drosophila. By screening panel of lines in which all genetic variants are known, we successfully identified a large set of candidate genes that could provide a basis for future studies of Drosophila cellular immunity. Finally, we describe a novel, immune-specific role for the highly conserved Fox-1 family member, A2bp1.