962 resultados para Cytokine expression


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Regular Expressions are generic representations for a string or a collection of strings. This paper focuses on implementation of a regular expression matching architecture on reconfigurable fabric like FPGA. We present a Nondeterministic Finite Automata based implementation with extended regular expression syntax set compared to previous approaches. We also describe a dynamically reconfigurable generic block that implements the supported regular expression syntax. This enables formation of the regular expression hardware by a simple cascade of generic blocks as well as a possibility for reconfiguring the generic blocks to change the regular expression being matched. Further,we have developed an HDL code generator to obtain the VHDL description of the hardware for any regular expression set. Our optimized regular expression engine achieves a throughput of 2.45 Gbps. Our dynamically reconfigurable regular expression engine achieves a throughput of 0.8 Gbps using 12 FPGA slices per generic block on Xilinx Virtex2Pro FPGA.

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Background: Temporal analysis of gene expression data has been limited to identifying genes whose expression varies with time and/or correlation between genes that have similar temporal profiles. Often, the methods do not consider the underlying network constraints that connect the genes. It is becoming increasingly evident that interactions change substantially with time. Thus far, there is no systematic method to relate the temporal changes in gene expression to the dynamics of interactions between them. Information on interaction dynamics would open up possibilities for discovering new mechanisms of regulation by providing valuable insight into identifying time-sensitive interactions as well as permit studies on the effect of a genetic perturbation. Results: We present NETGEM, a tractable model rooted in Markov dynamics, for analyzing the dynamics of the interactions between proteins based on the dynamics of the expression changes of the genes that encode them. The model treats the interaction strengths as random variables which are modulated by suitable priors. This approach is necessitated by the extremely small sample size of the datasets, relative to the number of interactions. The model is amenable to a linear time algorithm for efficient inference. Using temporal gene expression data, NETGEM was successful in identifying (i) temporal interactions and determining their strength, (ii) functional categories of the actively interacting partners and (iii) dynamics of interactions in perturbed networks. Conclusions: NETGEM represents an optimal trade-off between model complexity and data requirement. It was able to deduce actively interacting genes and functional categories from temporal gene expression data. It permits inference by incorporating the information available in perturbed networks. Given that the inputs to NETGEM are only the network and the temporal variation of the nodes, this algorithm promises to have widespread applications, beyond biological systems. The source code for NETGEM is available from https://github.com/vjethava/NETGEM

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Vigna Delta(1)-pyrroline-5-carboxylate synthetase (P5CS) cDNA was transferred to chickpea (Cicer arietinum L.) cultivar Annigeri via Agrobacterium tumefaciens mediated transformation. Following selection on hygromycin and regeneration, 60 hygromycin-resistant plants were recovered. Southern blot analysis of five fertile independent lines of T0 and T1 generation revealed single and multiple insertions of the transgene. RT-PCR and Western blot analysis of T0 and T1 progeny demonstrated that the P5CS gene is expressed and produced functional protein in chickpea. T1 transgenic lines accumulated higher amount of proline under 250 mM NaCl compared to untransformed controls. Higher accumulation of Na(+) was noticed in the older leaves but negligible accumulation in seeds of T1 transgenic lines as compared to the controls. Chlorophyll stability and electrolyte leakage indicated that proline overproduction helps in alleviating salt stress in transgenic chickpea plants. The T1 transgenics lines were grown to maturity and set normal viable seeds under continuous salinity stress (250 mM) without any reduction in plant yield in terms of seed mass.

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Candida albicans, a human fungal pathogen, undergoes morphogenetic changes that are associated with virulence. We report here that GAL102 in C. albicans encodes a homolog of dTDP-glucose 4,6-dehydratase, an enzyme that affects cell wall properties as well as virulence of many pathogenic bacteria. We found that GAL102 deletion leads to greater sensitivity to antifungal drugs and cell wall destabilizing agents like Calcofluor white and Congo red. The mutant also formed biofilms consisting mainly of hyphal cells that show less turgor. The NMR analysis of cell wall mannans of gal102 deletion strain revealed that a major constituent of mannan is missing and the phosphomannan component known to affect virulence is greatly reduced. We also observed that there was a substantial reduction in the expression of genes involved in biofilm formation but increase in the expression of genes encoding glycosylphosphatidylinositol-anchored proteins in the mutant. These, along with altered mannosylation of cell wall proteins together might be responsible for multiple phenotypes displayed by the mutant. Finally, the mutant was unable to grow in the presence of resident peritoneal macrophages and elicited a weak pro-inflammatory cytokine response in vitro. Similarly, this mutant elicited a poor serum pro-inflammatory cytokine response as judged by IFN gamma and TNF alpha levels and showed reduced virulence in a mouse model of systemic candidiasis. Importantly, an Ala substitution for a conserved Lys residue in the active site motif YXXXK, that abrogates the enzyme activity also showed reduced virulence and increased filamentation similar to the gal102 deletion strain. Since inactivating the enzyme encoded by GAL102 makes the cells sensitive to antifungal drugs and reduces its virulence, it can serve as a potential drug target in combination therapies for C. albicans and related pathogens.

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Pathogen encoded peptidases are known to be important during infection; however, their roles in modulating host responses in immunocompromised individuals are not well studied. The roles of S. typhimurium (WT) encoded Peptidase N (PepN), a major aminopeptidase and sole M1 family member, was studied in mice lacking Interferon-γ (IFNγ), a cytokine important for immunity. S. typhimurium lacking pepN (ΔpepN) displays enhanced colony forming units (CFU) compared to WT in peripheral organs during systemic infection in C57BL/6 mice. However, Ifnγ(-/-) mice show higher CFU compared to C57BL/6 mice, resulting in lower fold differences between WT and ΔpepN. Concomitantly, reintroduction of pepN in ΔpepN (ΔpepN/pepN) reduces CFU, demonstrating pepN-dependence. Interestingly, expression of a catalytically inactive PepN (ΔpepN/E298A) also lowers CFU, demonstrating that the decrease in CFU is independent of the catalytic activity of PepN. In addition, three distinct differences are observed between infection of C57BL/6 and Ifnγ(-/-) mice: First, serum amounts of TNFα and IL1β post infection are significantly lower in Ifnγ(-/-) mice. Second, histological analysis of C57BL/6 mice reveals that damage in spleen and liver upon infection with WT or ΔpepN is greater compared to ΔpepN/pepN or ΔpepN/E298A. On the other hand, Ifnγ(-/-) mice are highly susceptible to organ damage by all strains of S. typhimurium used in this study. Finally, greater survival of C57BL/6, but not Ifnγ(-/-) mice, is observed upon infection with ΔpepN/pepN or ΔpepN/E298A. Overall, the roles of the host encoded IFNγ during infection with S. typhimurium strains with varying degrees of virulence are highlighted.

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Macrophages, as sentinels of robust host immunity, are key regulators of innate immune responses against invading mycobacteria; however, pathogenic mycobacteria survive in the infected host by subverting host innate immunity. Infection dependent expression of early secreted antigenic target protein 6 (ESAT-6) by Mycobacterium tuberculosis is strongly correlated with subversion of innate immune responses against invading mycobacteria. As a part of multifaceted immunity to mycobacterial infection, induced expression of cyclooxygenase-2 (COX-2) may act as an important influencing factor towards effective host immunity. In the current investigation, we demonstrate that ESAT-6 triggers COX-2 expression both in vitro and in vivo in a TLR2 dependent manner. Signaling perturbation data suggest that signaling dynamics of PI3K and p38 and JNK1/2 MAPK assume critical importance in ESAT-6 triggered expression of COX-2 in macrophages. Interestingly, ESAT-6 triggered PI3K-MAPK signaling axis holds the capacity to regulate coordinated activation of NF-kappa B and AP-1. Overall, current investigation provides mechanistic insights into ESAT-6 induced COX-2 expression and unravels TLR2 mediated interplay of PI3K and MAPK signaling axis as a rate-determining step during intricate host immune responses. These findings would serve as a paradigm to understand pathogenesis of mycobacterial infection and clearly pave a way towards development of novel therapeutics. (C) 2011 Elsevier Ltd. All rights reserved.

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The regulation of cell proliferation in the external granular layer (EGL) of the developing cerebellum is important for its normal patterning. An important signal that regulates EGL cell proliferation is Sonic hedgehog (Shh). Shh is secreted by the Purkinje cells (PC) and has a mitogenic effect on the granule cell precursors of the EGL. Deregulation of Shh signaling has been associated with abnormal development, and been implicated in medulloblastomas, which are tumors that arise from the cerebellum. Given the importance of the Shh pathway in cerebellum development and disease, there has been no systematic study of its expression pattern during human cerebellum development. In this study, we describe the expression pattern of Shh, its receptor patched, smoothened, and its effectors that belong to the Gli family of transcription factors, during normal human cerebellum development from 10 weeks of gestational age, and in medulloblastomas that represents a case of abnormal cell proliferation in the cerebellum. This expression pattern is compared to equivalent stages in the normal development of cerebellum in mouse, as well as in tumors. Important differences between human and mouse that reflect differences in the normal developmental program between the 2 species are observed. First, in humans there appears to be a stage of Shh signaling within the EGL, when the PC are not yet the source of Shh. Second, unlike in the postnatal mouse cerebellum, expression of Shh in the PC in the postnatal human cerebellum is downregulated. Finally, medulloblastomas in the human but not in patched heterozygote mouse express Shh. These results highlight cross-species differences in the regulation of the Shh signaling pathway.

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We employed different experimental model systems to define the role of GATA4, beta-catenin, and steroidogenic factor (SF-1) transcriptional factors in the regulation of monkey luteal inhibin secretion. Reverse transcription polymerase chain reactions and western blotting analyses show high expression of inhibin-alpha, GATA4, and beta-catenin in corpus luteum (CL) of the mid-luteal phase. Gonadotropin-releasing hormone receptor antagonist-induced luteolysis model suggested the significance of luteinizing hormone (LH) in regulating these transcriptional factors. Inducible cyclic AMP early repressor mRNA expression was detected in the CL and no change was observed in different stages of CL. Following amino acid sequence analysis, interaction between SF-1 and beta-catenin in mid-stage CL was verified by reciprocal co-immunoprecipitation experiments coupled to immunoblot analysis. Electrophoretic mobility shift analysis support the role of SF-1 in regulating luteal inhibin-alpha expression. Our results suggest a possible multiple crosstalk of Wnt, cAMP, and SF-1 in the regulation of luteal inhibin secretion.