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Wind power, as an eco-friendly renewable energy, has been widely integrated into modern power systems. The prediction accuracy of wind power is crucial to the secure operation of power systems. To improve the prediction accuracy, a hybrid hour-ahead wind power prediction method is presented in this paper. First, the variational mode decomposition (VMD) is used to decompose the original wind power sequences into a set of intrinsic mode functions (IMFs) with different frequencies. Then, the prediction model is formulated by using the long short-term memory (LSTM) network for each IMF. To enhance the LSTM, a bio-inspired algorithm named Harris Hawks optimization (HHO) is blended to optimize the parameters of each LSTM prediction model. The final prediction output power is thus obtained by integrating all prediction results from these individual IMFs, so that the novel VMD–HHO–LSTM prediction strategy is developed. Finally, case studies based on the real historical dataset are performed, demonstrating that the proposed hybrid hour-ahead wind power prediction model named VMD–HHO–LSTM has better prediction performance and higher applicability to multiple dataset scenarios.

To accomplish their critical task of removing infected cells and fighting pathogens, leukocytes activate by forming specialized interfaces with other cells. The physics of this key immunological process are poorly understood, but it is important to understand them because leukocytes have been shown to react to their mechanical environment. Using an innovative micropipette rheometer, we show in three different types of leukocytes that, when stimulated by microbeads mimicking target cells, leukocytes become up to 10 times stiffer and more viscous. These mechanical changes start within seconds after contact and evolve rapidly over minutes. Remarkably, leukocyte elastic and viscous properties evolve in parallel, preserving a well-defined ratio that constitutes a mechanical signature specific to each cell type. Our results indicate that simultaneously tracking both elastic and viscous properties during an active cell process provides a new, to our knowledge, way to investigate cell mechanical processes. Our findings also suggest that dynamic immunomechanical measurements can help discriminate between leukocyte subtypes during activation.

Theoretical work suggests that collective spatiotemporal behaviour of integral membrane proteins (IMPs) can be modulated by annular lipids sheathing their hydrophobic moiety. Here, we present evidence for this prediction in a natural membrane by investigating the mechanism that maintains steady amount of active isoform of Lck kinase (LckA) by Lck trans-autophosphorylation offset by the phosphatase CD45. We gauged experimental suitability by quantitation of CD45 and LckAsubcellular localisation, LckAgeneration as a function of Lck and pharmacological perturbation. Steady LckAwas challenged by swapping Lck membrane anchor with structurally divergent ones expected to substantially modify Lck annular lipids, such as that of Src or the transmembrane domains of LAT, CD4, palmitoylation-defective CD4 and CD45, respectively. The data showed only small alteration of LckA, except for CD45 hydrophobic anchor that thwarted LckA, due to excessive lateral proximity to CD45. The data are best explained by annular lipids facilitating or penalising IMPs’ lateral proximity, hence modulating IMPs protein-protein functional interactions. Our findings can contribute to improve the understanding of biomembranes’ organisation.

To mount appropriate responses, T cells integrate complex sequences of receptor stimuli perceived during transient interactions with antigen presenting cells. Although it has been hypothesized that the dynamics of these interactions influence the outcome of T cell activation, methodological limitations have hindered its formal demonstration. Here, we have engineered the Light-inducible T cell engager (LiTe) system, a recombinant optogenetics-based molecular tool targeting the T Cell Receptor (TCR). The LiTe system constitutes a reversible molecular switch displaying exquisite reactivity. As proof of concept, we dissect how specific temporal patterns of TCR stimulation shape T cell activation patterns. We established that CD4+ T cells respond to intermittent TCR stimulation more efficiently than their CD8+ T cells counterparts and provide evidence that distinct sequences of TCR stimulation encode different cytokine programs. Finally, we show that the LiTe system could be exploited to create light-activated bispecific T cell engagers and manipulate tumor cell killing. Overall, the LiTe system provides new opportunities to understand how T cells integrate TCR stimulations and to trigger T cell cytotoxicity with a high spatiotemporal control.

International audience; Theoretical work suggests that collective spatiotemporal behaviour of integral membrane proteins (IMPs) should be modulated by boundary lipids sheathing their membrane anchors. Here, we show evidence for this prediction whilst investigating the mechanism for maintaining a steady amount of the active form of IMP Lck kinase (LckA) by Lck trans-autophosphorylation regulated by the phosphatase CD45. We used super-resolution microscopy, flow cytometry, and pharmacological and genetic perturbation to gain insight into the spatiotemporal context of this process. We found that LckA is generated exclusively at the plasma membrane, where CD45 maintains it in a ceaseless dynamic equilibrium with its unphosphorylated precursor. Steady LckA shows linear dependence, after an initial threshold, over a considerable range of Lck expression levels. This behaviour fits a phenomenological model of trans-autophosphorylation that becomes more efficient with increasing LckA. We then challenged steady LckA formation by genetically swapping the Lck membrane anchor with structurally divergent ones, such as that of Src or the transmembrane domains of LAT, CD4, palmitoylation-defective CD4 and CD45 that were expected to drastically modify Lck boundary lipids. We observed small but significant changes in LckA generation, except for the CD45 transmembrane domain that drastically reduced LckA due to its excessive lateral proximity to CD45. Comprehensively, LckA formation and maintenance can be best explained by lipid bilayer critical density fluctuations rather than liquid-ordered phase-separated nanodomains, as previously thought, with "like/unlike" boundary lipids driving dynamical proximity and remoteness of Lck with itself and with CD45.

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To accomplish their critical task of removing infected cells and fighting pathogens, leukocytes activate by forming specialized interfaces with other cells. Using an innovative micropipette rheometer, we show in three different cell types that when stimulated by microbeads mimicking target cells, leukocytes become up to ten times stiffer and more viscous. These mechanical changes initiate within seconds after contact and evolve rapidly over minutes. Remarkably, leukocyte elastic and viscous properties evolve in parallel, preserving a well-defined ratio that constitutes a mechanical signature specific to each cell type. The current results indicate that simultaneously tracking both elastic and viscous properties during an active cell process provides a new way to investigate cell mechanical processes. Our findings also suggest that dynamic immuno-mechanical measurements provide an identifier of leukocyte type and an indicator of the cell’s state of activation.

APE1 is a multifunctional protein that has recently been implicated in protecting cells from oxidative stress. In the current study, we confirmed that APE1׳s effect on cellular antioxidant capacity is related to its redox activity through the use of an APE1 functional mutant, and we investigated the mechanism through which this multifunctional protein affects the function of the transcription factor Nrf-2 in regulating oxidative stress-induced genes. Using a pair of mutants for both the redox activity and the acetylation-regulated activity of APE1, in vitro assays showed that the redox activity of APE1 is crucial for its nuclear association with Nrf-2 and subsequent activation of Nrf-2׳s transcription of several downstream genes during oxidative challenge. Important oxidative stress genes are affected by APE1 redox activity, including Hmox1, Gstm1, and Txnrd1. In addition, utilizing human non-small-cell lung cancer sample tissue as well as a nude mouse xenograft model, we determined that APE1 expression levels are inversely correlated to oxidative stress in vivo. These findings indicated that interference with these crucial functions of APE1 shows promise in preventing resistance to certain radiotherapies and that further research is necessary to understand APE1׳s complex roles in regulating both the basal redox status and the oxidative stress state of the cellular environment.

International audience; Due to the intrinsic molecular Brownian agitation within plasma membrane and the vast diversity of membrane components, it is expected that the plasma membrane organization is highly heterogeneous with the formation of local complex multicomponent assemblies of lipids and proteins on different time scales. Still, deciphering this lateral organization on living cells and on the appropriate length and temporal scales has been challenging but is crucial to advance our knowledge on the biological function of the plasma membrane. Among the methodological developments based on biophotonics, the spot variation FCS (svFCS), a fluorescent correlation spectroscopy (FCS)-based method, has allowed the significant progress in the characterization of cell membrane lateral organization at the suboptical level, including to providing compelling evidence for the in vivo existence of lipid-dependent nanodomains. The aim of this chapter is to serve as a guide for setting and applying the svFCS methodology to study the plasma membrane of both adherent and nonadherent cell types.

Objective To explore the effects of heroin on purine nucleotides metabolism in rat brain. Methods Biochemical changes in association with heroin administration were compared between heroin-administered rats and non-heroin rats. HPLC method was used to detect the absolute content of purine nucleotides in brain tissues. Concentrations of uric acid (UA), blood urea nitrogen (BUN) and creatinine (Cre) in plasma were measured. Enzymatic activities of adenosine deaminase (ADA) and xanthine oxidase (XO) in brain tissue were analyzed. Real-time PCR was used to determine the relative level of transcripts of ADA, XO, adenine phosphoribosyl transferase (APRT), hypoxanthine-guaninephosphoribosyl transferase (HGPRT) and adenosine kinase (AK) in brain tissue. Results Compared with those in the saline group, the content of AMP and GTP of heroin group decreased significantly; the UA concentration in plasma, ADA and XO activities and the mRNA level of ADA and XO in brain tissues in heroin group increased significantly; the mRNA level of AK, APRT and HGPRT in brain tissues in heroin group decreased significantly (P Conclusion Heroin administration may enhance the catabolism and inhibit the anabolism of purine nucleotides in brain. There may be a deficiency of purine nucleotides, especially GTP and AMP in rat brain exposed to heroin. Our findings may provide a new potential approach to study the mechanism of heroin addiction.

Steady-state polarization-resolved fluorescence imaging is used to analyze the molecular orientational order behavior of rigidly labeled major histocompatibility complex class I (MHC I) proteins and lipid probes in cell membranes of living cells. These fluorescent probes report the orientational properties of proteins and their surrounding lipid environment. We present a statistical study of the molecular orientational order, modeled as the width of the angular distribution of the molecules, for the proteins in the cell endomembrane and plasma membrane, as well as for the lipid probes in the plasma membrane. We apply this methodology on cells after treatments affecting the actin and microtubule networks. We find in particular opposite orientational order changes of proteins and lipid probes in the plasma membrane as a response to the cytoskeleton disruption. This suggests that MHC I orientational order is governed by its interaction with the cytoskeleton, whereas the plasma membrane lipid order is governed by the local cell membrane morphology.

Classification of network traffic is the essential step for many network researches. However, with the rapid evolution of Internet applications the effectiveness of the port-based or payload-based identification approaches has been greatly diminished in recent years. And many researchers begin to turn their attentions to an alternative machine learning based method. This paper presents a novel machine learning-based classification model, which combines ensemble learning paradigm with co-training techniques. Compared to previous approaches, most of which only employed single classifier, multiple classifiers and semi-supervised learning are applied in our method and it mainly helps to overcome three shortcomings: limited flow accuracy rate, weak adaptability and huge demand of labeled training set. In this paper, statistical characteristics of IP flows are extracted from the packet level traces to establish the feature set, then the classification model is created and tested and the empirical results prove its feasibility and effectiveness.

Although the traditional chemotherapy has achieved a certain effect for patients with acute myeloid leukemia (AML), but there are still limitations in terms of improving the rate of complete remission and overcome relapse after remission. The further study found that many cytogenetic molecular and epigenetic abnormalities occurred during the progression of AML, such as abnormal expression of cell surface molecules, mutation, gene aberrant methylation and so on. The drugs targeted at these changes can improve the prognosis for patients, and provide a new way for treating patients with AML. At present, the mostly targeted drugs include monoclonal antibodies CD33-Ab, tyrosine kinase inhibitor, inhibitors of DNA methyltransferases inhibitors and so on. In this review, the progress of targeted therapy in AML treatment is summarized.

International audience; Understanding how membrane nanoscale organization controls transmembrane receptors signaling activity remains a challenge. We studied interferon-gamma receptor (IFN-gamma R) signaling in fibroblasts from homozygous patients with a T168N mutation in IFNGR2. By adding a neo-N-glycan on IFN-gamma R2 subunit, this mutation blocks IFN-gamma activity by unknown mechanisms. We show that the lateral diffusion of IFN-gamma R2 is confined by sphingolipid/cholesterol nanodomains. In contrast, the IFN-gamma R2 T168N mutant diffusion is confined by distinct actin nanodomains where conformational changes required for Janus-activated tyrosine kinase/signal transducer and activator of transcription (JAK/STAT) activation by IFN-gamma could not occur. Removing IFN-gamma R2 T168N-bound galectins restored lateral diffusion in lipid nanodomains and JAK/STAT signaling in patient cells, whereas adding galectins impaired these processes in control cells. These experiments prove the critical role of dynamic receptor interactions with actin and lipid nanodomains and reveal a new function for receptor glycosylation and galectins. Our study establishes the physiological relevance of membrane nanodomains in the control of transmembrane receptor signaling in vivo.

Localization of the death receptor Fas to specialized membrane microdomains is crucial to Fas-mediated cell death signaling. Here, we report that the post-translational modification of Fas by palmitoylation at the membrane proximal cysteine residue in the cytoplasmic region is the targeting signal for Fas localization to lipid rafts, as demonstrated in both cell-free and living cell systems. Palmitoylation is required for the redistribution of Fas to actin cytoskeleton-linked rafts upon Fas stimulation and for the raft-dependent, ezrin-mediated cytoskeleton association, which is necessary for the efficient Fas receptor internalization, death-inducing signaling complex assembly and subsequent caspase cascade leading to cell death.

It is by now widely recognized that cell membranes show complex patterns of lateral organization. Two mechanisms involving either a lipid-dependent (microdomain model) or cytoskeleton-based (meshwork model) process are thought to be responsible for these plasma membrane organizations. In the present study, fluorescence correlation spectroscopy measurements on various spatial scales were performed in order to directly identify and characterize these two processes in live cells with a high temporal resolution, without any loss of spatial information. Putative raft markers were found to be dynamically compartmented within tens of milliseconds into small microdomains (∅

The role of lipid rafts in T cell signalling has recently been extensively studied and hotly debated. In this review we wish to present recent advances in the study of lipid rafts with regards to the initiation of TCR signal transduction. We also wish to clarify some common misconceptions regarding certain models and experimental methods reported in the literature. Based on the relevant data supporting the functional importance of lipid rafts in early TCR mediated signalling events, we propose a model for TCR signal initiation involving a "TCR signalosome" organized in a specific raft subset, which is highly dynamic and evolving upon TCR activation.

The integral membrane adaptor protein linker for activation of T cells (LAT) couples the T-cell receptor (TCR) with downstream signalling and is essential for T-cell development and activation. Here, we investigate the dynamic distribution of LAT-GFP fusion proteins by time-lapse video imaging of live T lymphocytes interacting with antigen-presenting cells. We show that LAT forms two distinct cellular pools, one at the plasma membrane and one that co-distributes with transferrin-labelled intracellular compartments also containing the TCR/CD3-associated ζ chain. The distribution of LAT between these two pools is dependent on LAT intracytoplasmic residues. Whereas plasma membrane-associated LAT is recruited to immune synapses after a few seconds of cell conjugate formation, the intracellular pool is first polarized and then recruited after a few minutes. We further show that LAT intracytoplasmic amino acid residues, particularly the Tyr136, 175, 195 and 235 residues, are required for its own recruitment to the immune synapse and that a herein-identified juxtamembrane LAT region (amino acids 32-104) is involved in the localization of LAT in intracellular pools and in T-cell signalling. Altogether, our results demonstrate that LAT controls its own recruitment at the immune synapse, where it is required as a scaffold protein for the signalling machinery. The results also suggest that the intracellular pool of LAT might be required for T-cell activation.

The transmembrane protein LAT (linker for activation of T cells) couples the T cell receptor (TCR) to downstream signaling effectors. Mice homozygous for a mutation of a single LAT tyrosine residue showed impeded T cell development. However, later they accumulated polyclonal helper T (T H ) cells that chronically produced type 2 cytokines in large amounts. This exaggerated T H 2 differentiation caused tissue eosinophilia and massive maturation of plasma cells secreting to immunoglobulins of the E and G1 isotypes. This paradoxical phenotype establishes an unanticipated inhibitory function for LAT that is critical for the differentiation and homeostasis of T H cells.

Recent studies suggest that rafts are involved in numerous cell functions, including membrane traffic and signaling. Here we demonstrate, using a polyoxyethylene ether Brij 98, that detergent-insoluble microdomains possessing the expected biochemical characteristics of rafts are present in the cell membrane at 37 degrees C. After extraction, these microdomains are visualized as membrane vesicles with a mean diameter of approximately 70 nm. These findings provide further evidence for the existence of rafts under physiological conditions and are the basis of a new isolation method allowing more accurate analyses of raft structure. We found that main components of T cell receptor (TCR) signal initiation machinery, i.e. TCR-CD3 complex, Lck and ZAP-70 kinases, and CD4 co-receptor are constitutively partitioned into a subset of rafts. Functional studies in both intact cells and isolated rafts showed that upon ligation, TCR initiates the signaling in this specialized raft subset. Our data thus strongly indicate an important role of rafts in organizing TCR early signaling pathways within small membrane microdomains, both prior to and following receptor engagement, for efficient TCR signal initiation upon stimulation.

Plasma membrane microdomains that are enriched in sphingolipids, cholesterol and glycosylphosphatidylinositol-anchored proteins appear to be important in T-cell signalling. Here, Subburaj Ilangumaran, Hai-Tao He and Daniel Hoessli discuss the possible mechanisms involved in T-cell activation via such microdomains.

While intrinsic Brownian agitation within a lipid bilayer does homogenize the molecular distribution, the extremely diverse composition of the plasma membrane, in contrast, favors the development of inhomogeneity due to the propensity of such a system to minimize its total free energy. Precisely, deciphering such inhomogeneous organization with appropriate spatiotemporal resolution remains, however, a challenge. In accordance with its ability to accurately measure diffusion parameters, fluorescence correlation spectroscopy (FCS) has been developed in association with innovative experimental strategies to monitor modes of molecular lateral confinement within the plasma membrane of living cells. Here, we describe a method, namely spot variation FCS (svFCS), to decipher the dynamics of the plasma membrane organization. The method is based on questioning the relationship between the diffusion time τ(d) and the squared waist of observation w(2). Theoretical models have been developed to predict how geometrical constraints such as the presence of adjacent or isolated domains affect the svFCS observations. These investigations have allowed significant progress in the characterization of cell membrane lateral organization at the suboptical level, and have provided, for instance, compelling evidence for the in vivo existence of raft nanodomains.

While intrinsic Brownian agitation within a lipid bilayer does homogenize the molecular distribution, the extremely diverse composition of the plasma membrane, in contrast, favors the development of inhomogeneity due to the propensity of such a system to minimize its total free energy. Precisely, deciphering such inhomogeneous organization with appropriate spatiotemporal resolution remains, however, a challenge. In accordance with its ability to accurately measure diffusion parameters, fluorescence correlation spectroscopy (FCS) has been developed in association with innovative experimental strategies to monitor modes of molecular lateral confinement within the plasma membrane of living cells. Here, we describe a method, namely spot variation FCS (svFCS), to decipher the dynamics of the plasma membrane organization. The method is based on questioning the relationship between the diffusion time τd and the squared waist of observation w2. Theoretical models have been developed to predict how geometrical constraints such as the presence of adjacent or isolated domains affect the svFCS observations. These investigations have allowed significant progress in the characterization of cell membrane lateral organization at the suboptical level, and have provided, for instance, compelling evidence for the in vivo existence of raft nanodomains.

Despite intensive investigation, the mechanisms of T cell receptor (TCR)-mediated signal generation remain poorly understood. Here we review various dynamic processes at the cell membrane that might critically control this signaling. Firstly, we summarize recent reports providing new information on the sensitivity of TCR/ligand interaction to the membrane environment and particularly to applied forces. Secondly, we review recent evidence that forces and displacements are continuously generated at cell surfaces. Thirdly, we summarize recent experimental evidence demonstrating the capacity of forces to generate signals. Lastly, we provide a quantitative model to exemplify the capacity of dynamic processes to modulate TCR properties such as specificity that were previously difficult to explain with conventional models. It is concluded that the described dynamic processes must be integrated into current models of TCR signaling.

The plasma membrane delineating the cell is a complex multicomponent assembly of lipids and proteins. Deciphering the lateral organization of this supramolecular complex on appropriate length and temporal scales is necessary to unravel its implication in biological function. Here, we show how measurements of diffusion may be taken to shed light on membrane function. We first describe the current methods used to report lateral diffusion of membrane components. We then focus on one fluorescent correlation spectroscopy (FCS)-based method, namely, the spot variation FCS (svFCS), which allows the characterization of the modes of molecular confinement within the plasma membrane of living cells. We next illustrate with different biological systems the progress made toward improving our understanding of cell membrane function. We also discuss the findings with regard to the current view of nanoscale domains/assemblies as a general membrane-organizing principle.

Programmed cell death plays an important role during thymocyte development, since a vast majority (97%) of mouse cortical thymocytes die in thymus, whereas only 3% of these cells are rescued from cell death and positively selected. Although it seems well established that thymocyte fate depends upon appropriate surface-expressed T cell receptor, little is known about the molecular mechanism(s) responsible for the massive thymocyte elimination that occurs in the thymus. We report here that Thy-1 is capable of triggering mouse thymocyte death in vitro through a bcl-2-resistant mechanism. We have previously shown that Thy-1 is involved in mouse thymocyte adhesion to thymic stroma through interaction with an epithelial cell ligand. To examine the Thy-1 signaling function in thymocytes, we have mimicked its interaction with stromal cells by culturing mouse thymocytes onto tissue culture plates coated with monoclonal antibodies (mAb) directed at distinct Thy-1 epitope regions. mAb recognizing determinants in a defined Thy-1 structural domain, but not others, were found to induce marked thymocyte apoptosis as evidenced by morphological and biochemical data. Use of a quantitative DNA dot blot assay indicated that Thy-1-mediated thymocyte apoptosis was not blocked by RNA or protein synthesis inhibitors, EGTA, or by cyclosporin A, and differed, therefore, from "activation-driven cell death". Moreover, Thy-1(+)-transfected, but not wild-type AKR1 (Thy-1-d) thymoma cells underwent apoptosis after ligation with apoptosis-inducing, Thy-1-specific mAb. In contrast to thymocytes, the latter event was inhibitable by RNA and protein synthesis inhibitors, an indication that thymocytes, but not thymoma cells, contain the molecular components necessary for Thy-1-driven apoptosis. We further showed that Thy-1-triggered thymocyte death is a developmentally regulated process operative in fetal thymocytes from day 17 of gestation, but not in peripheral T cells. Indeed, the target of apoptosis by anti-Thy-1 was found to reside mainly within the CD4+8+3- and CD4+8+3lo double positive immature thymocyte subsets. Finally, it is of major interest that Thy-1-mediated apoptosis, which was found to be readily detectable in thymocytes from bcl-2-transgenic mice, represents a thus far unique experimental system for studying bcl-2-resistant thymocyte death mechanism(s).

Spleen tyrosine kinase (SYK) is crucial to cellular functions mediated by immunoreceptors and integrins. We have developed and characterized a new genetically-encoded Forster resonance energy transfer (FRET)-based biosensor for studying the dynamics of SYK activities in living cells at a subcellular level. It contains an N-terminal ECFP, SH2 domain, a peptide derived from a SYK substrate VAV2, and a C-terminal YPet. Upon the specific phosphorylation by SYK in vitro, the biosensor substrate peptide bound to the intramolecular SH2 domain to reduce the FRET efficiency. Transfection of the biosensor did not affect activation of the endogenous SYK in host cells. Phosphorylation of the biosensor followed the same kinetics as the endogenous VAV2. Using FRET imaging and ratiometric analysis with this SYK biosensor, we visualized and quantified the real-time activation of SYK in K562 cells upon IgG Fc engagement of Fcγ receptor IIA and in mouse embryonic fibroblasts upon stimulation by the platelet derived growth factor. These results demonstrate our biosensor as a powerful tool for studying cellular signaling that involves SYK.

International audience; Cell membranes actively participate in numerous cellular functions. Inasmuch as bioactivities of cell membranes are known to depend crucially on their lateral organization, much effort has been focused on deciphering this organization on different length scales. Within this context, the concept of lipid rafts has been intensively discussed over recent years. In line with its ability to measure diffusion parameters with great precision, fluorescence correlation spectroscopy (FCS) measurements have been made in association with innovative experimental strategies to monitor modes of molecular lateral diffusion within the plasma membrane of living cells. These investigations have allowed significant progress in the characterization of the cell membrane lateral organization at the suboptical level and have provided compelling evidence for the in vivo existence of raft nanodomains. We review these FCS-based studies and the characteristic structural features of raft nanodomains. We also discuss the findings in regards to the current view of lipid rafts as a general membrane-organizing principle.

Algorithm PTPSPM (a parallel algorithm based on prefix tree for sequence pattern mining) is proposed in order to deal with the speed limited and effectiveness problem of the sequence pattern mining in massive data. In this paper, a new prefix-tree structure and an improved prefix-span algorithm are introduced to mine the local sequence, the global sequence are obtained by merging all the local sequences. A new prefix tree pruning technique is presented to delete the global k-sequence which can not be attended. PTPSPM algorithm applies project database identifier index table of dynamic scheduling to avoid the processor idle waiting. Additionally, it cites selective sampling techniques to balance the loads between processors. The experiment results demonstrate that PTPSPM algorithm has better execution performance and speedup.

The aim of this study was to explore whether Thy-1, like other members of the Ig-like superfamily (e.g., CD2 and neural cell adhesion molecule), participates in cell-cell adhesion. This was investigated by measuring the binding of Thy-1+ probe cells (thymocytes or AKR1 T lymphoma cells) to Thy-1- cloned mouse thymic epithelial (MTE) cells using a quantitative cell adhesion assay. The results were as follows: (a) the thymo-epithelial cell interaction was found to be inhibitable (by 25-40%) by soluble Thy-1 molecules purified from phosphatidylinositol-specific phospholipase C-treated mouse thymocytes as well as by Fab' fragments of a Thy-1-specific mAb; (b) the binding of the Thy-1- AKR1 (Thy-1-d) mutant to MTE cells was found to be reduced (by 50%) as compared with that of the wild type T lymphoma; (c) the Thy-1-mediated adhesion pathway did not require Ca2+ and promoted the initial thymo-epithelial binding measured at 4 degrees C. These data provide the first direct evidence of an adhesive function of Thy-1 and suggest that this molecule, in addition to its T cell triggering properties, might play a role during the early T cell maturation by promoting thymocyte adhesion to thymic stroma.

International audience; Membrane rafts are thought to be sphingolipid- and cholesterol-dependent lateral assemblies involved in diverse cellular functions. Their biological roles and even their existence, however, remain controversial. Using an original fluorescence correlation spectroscopy strategy that recently enabled us to identify nanoscale membrane organizations in live cells, we report here that highly dynamic nanodomains exist in both the outer and inner leaflets of the plasma membrane. Through specific inhibition of biosynthesis, we show that sphingolipids and cholesterol are essential and act in concert for formation of nanodomains, thus corroborating their raft nature. Moreover, we find that nanodomains play a crucial role in triggering the phosphatidylinositol-3 kinase/Akt signaling pathway, by facilitating Akt recruitment and activation upon phosphatidylinositol-3,4,5-triphosphate accumulation in the plasma membrane. Thus, through direct monitoring and controlled alterations of rafts in living cells, we demonstrate that rafts are critically involved in the activation of a signaling axis that is essential for cell physiology.

T-cell antigen receptor triggering mechanisms and lipid rafts are of broad interest, but are also controversial topics. Here, we review some recent progress in these two research fields, which has been accomplished mostly in live cells and with the use of advanced technologies. We then discuss the potential relationship between membrane-domain organization and T-cell antigen receptor-triggering mechanisms. On the basis of the relevant experimental observations, we argue that the key to achieving a better understanding of both processes is the ability to monitor the molecular dynamics and interactions taking place in the membrane of T cells at a spatial scale of tens to hundreds of nanometres, with a subsecond-to-second temporal resolution.

Actin polymerization plays a critical role in activated T lymphocytes both in regulating T cell receptor (TCR)-induced immunological synapse (IS) formation and signaling. Using gene targeting, we demonstrate that the hematopoietic specific, actin- and Arp2/3 complex-binding protein coronin-1A contributes to both processes. Coronin-1A-deficient mice specifically showed alterations in terminal development and the survival of αβT cells, together with defects in cell activation and cytokine production following TCR triggering. The mutant T cells further displayed excessive accumulation yet reduced dynamics of F-actin and the WASP-Arp2/3 machinery at the IS, correlating with extended cell-cell contact. Cell signaling was also affected with the basal activation of the stress kinases sAPK/JNK1/2; and deficits in TCR-induced Ca 2+ influx and phosphorylation and degradation of the inhibitor of NF-κB (IκB). Coronin-1A therefore links cytoskeleton plasticity with the functioning of discrete TCR signaling components. This function may be required to adjust TCR responses to selecting ligands accounting in part for the homeostasis defect that impacts αβT cells in coronin-1A deficient mice, with the exclusion of other lympho/hematopoietic lineages. © 2008 Mugnier et al., published_or_final_version

Most of the current network traffic classification approaches employ single classifier method with achieving lower accuracy under small training set. Different from high flow accuracy, byte accuracy, as an important metric for network traffic classification, is usually ignored by many researchers. To address these two problems, this paper proposes a novel classification algorithm. It combines ensemble learning with cost-sensitive learning, which enables the classification model to achieve high flow accuracy as well as byte accuracy. By evaluating our algorithm with the real 7-day traces collected at the edge of the campus network, the results show that it can averagely obtain flow accuracy of 94% as well as byte accuracy of 81%.

As there are many non-linear elements influencing the flatness in the rolling process and its accurate mathematics model is too complex to build, a fuzzy neural network controller is proposed for the cold rolled flatness control. Fuzzy neural controller does not require accurate model of plant and is able to learn to control adaptively. RBF network is adopted in the fuzzy neural network. To automatically acquire the fuzzy rule-base and the initial parameters of the RBF fuzzy model, the relationship clustering method is used in structure identification. Based on the clustering result, a fuzzy neural network is set up and then trained by genetic algorithm to obtain a precise flatness control model. The simulation result shows that it not only reduces the complexity of neural network, but also has faster convergence rate and less possibility to local minimum. The response is more favorable than that of conventional fuzzy controllers and that of fuzzy neural network based on BP network.

In traditional flat neural network, the topologic configurations are needed to be rebuilt with the width of cold strip changing. So that, the large learn assignment, slow convergence and local minimal in the network are observed. Moreover, the structure of the traditional neural network according to the experience has been proved that the model is time-consuming and complex. In this paper, a new approach of flatness pattern recognition is proposed based on the CMAC neural network. The difference of fuzzy distances between samples and the basic patterns is introduced as the inputs of the CMAC network. Simultaneity momentum term is imported to update the weight of this neural network. The new approach with the advantages, such as fast learning speed, good generalization, and easiness to implement, is efficient and intelligent. The simulation results show that the speed and accuracy of the flat pattern recognition model are improved obviously.

Cell membranes are fascinating supramolecular aggregates that not only form a barrier between compartments but also harbor many chemical reactions essential to the existence and functioning of a cell. Here, it is proposed to review the molecular dynamics and mosaic organization of the plasma membrane, which are thought to have important functional implications. We will first summarize the basic concepts of Brownian diffusion and lipid domain formation in model membranes and then track the development of ideas and tools in this field, outlining key results obtained on the dynamic processes at work in membrane structure and assembly. We will focus in particular on findings made using fluorescent labeling and imaging procedures to record these dynamic processes. We will also discuss a few examples showing the impact of lateral diffusion on cell signal transduction, and outline some future methodological challenges which must be met before we can answer some of the questions arising in this field of research.

The lipopolysaccharides (LPS) of intracellular Proteobacteria such as Brucella, Chlamydia, Legionella and Rickettsia, have properties distinct from enterobacterial LPSs. These properties include deficient LPS induction of host cell activation, low endotoxicity and resistance to macrophage degradation. Together these constitute key virulence mechanisms for intracellular survival and replication. We previously demonstrated that B. abortus LPS captured by macrophages was recycled back to the plasma membrane where it was found associated with macrodomains. Furthermore, this LPS interferes with the MHC class II (MHC-II) presentation of peptides to specific T cell hybridomas. Here, we characterized the Brucella LPS macrodomains by microscopy and biochemistry approaches. We show for the first time that LPS macrodomains act as detergent resistant membranes (DRMs), segregating several lipid-raft components, LPS-binding proteins and MHC-II molecules. Brucella LPS macrodomains remain intact for several months in macrophages and are resistant to the disruptive effects of methyl β-cyclodextrin. Fluorescent anisotropy measurements show that B. abortus LPS is responsible for the formation of rigid surface membrane complexes. In addition, relocalization of MHC-II molecules is observed in these structures. The effects of B. abortus LPS on membrane properties could be responsible for pathogenic effects such as the inhibition of MHC-II-dependent antigen presentation. © 2005 The Authors; Journal compilation © 2005 Blackwell Publishing Ltd. Los lipopolisacáridos (LPS) de Proteobacterias intracelulares como Brucella, Chlamydia, Legionella y Rickettsia, tienen propiedades distintas a los LPS de las enterobacterias. Estas propiedades incluyen una inducción deficiente de los LPS a la activación de las células del huésped, una baja endotoxicidad y una resistencia a la degradación de los macrófagos. En conjunto, constituyen mecanismos de virulencia clave para la supervivencia y replicación intracelular. Anteriormente demostramos que el LPS de B. abortus capturado por los macrófagos se reciclaba de nuevo a la membrana plasmática, donde se encontraba asociado a macrodominios. Además, este LPS interfiere con la presentación de péptidos del MHC clase II (MHC-II) a hibridomas de células T específicos. Aquí, caracterizamos los macrodominios de LPS de Brucella mediante enfoques de microscopía y bioquímica. Demostramos por primera vez que los macrodominios de LPS actúan como membranas resistentes a los detergentes (DRM), segregando varios componentes de los lípidos, proteínas de unión a LPS y moléculas MHC-II. Los macrodominios de LPS de Brucella permanecen intactos durante varios meses en los macrófagos y son resistentes a los efectos disruptivos de la metil β-ciclodextrina. Las mediciones de anisotropía fluorescente muestran que el LPS de B. abortus es responsable de la formación de complejos rígidos de membrana superficial. Además, se observa la relocalización de las moléculas MHC-II en estas estructuras. Los efectos del LPS de B. abortus sobre las propiedades de la membrana podrían ser responsables de efectos patógenos como la inhibición de la presentación del antígeno dependiente del MHC-II Universidad Nacional, Costa Rica Escuela de Medicina Veterinaria

In the traditional method of flatness pattern recognition known as neural network with a changing topological configuration, slow convergence and local minimum were observed. Moreover, the process of experimenting the initial parameters and structure of the neural network according to the experience before has been proved time-consuming and complex. In this paper, a new approach was proposed based on the structural equivalence of radial basis function (RBF) network and Support Vector Machines (SVM). The SMO algorithm was employed to obtain more optimal structure and initial parameters of RBF network, and then the BP algorithm was used to adjust RBF network slightly. The new approach with the advantages of SVM, such as fast learning and whole optimization, was efficient and intelligent.