837 resultados para GPI


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Neoplecostomus paranensis Langeam, 1990, from the upper Rio Parana, is the only Neoplecostomus species described in this basin and is distinguished from its congeners by the lack or reduction of the adipose fin. Neoplecostomus specimens with a normal and always present adipose fin were caught in the Rio Corumba, upper Rio Parana basin. In the present study two samples of populations, one from a tributary of Rio Paranapanema (identified as a typical N. paranensis) and the other from the Rio Corumba were compared through allozyme electrophoresis. Six diagnostic loci were found, Acp-A, Adh-A, Est-A, Gpi-A, Ldh-A and Ldh-B. In addition, the locus Gpi-B showed significant differences between allelic frequencies for the two samples. Nei's genetic identity between the populations was 0.731. The expressive genetic divergence together with the presence of an adipose fin show that the sample from the Rio Corumba is distinct from N. paranensis and probably represents a new species. (C) 2003 Published by Elsevier Ltd.

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The delimitation of cryptic species within the main vector of the American visceral leishmaniasis, Lutzomyia longipalpis, remains a topic of controversy. An analysis of generic variability based on 8 enzymatic loci revealed fixed differences in 2 diagnostic loci, adenylate kinase (Ak) and hexokinase (Hk), between sympatric and allopatric populations at 4 localities in Venezuela. The absence of heterozygotes for these 2 loci within 1 locality indicates, for the first time, the presence of 2 sympatric reproductively isolated populations or cryptic species within L. longipalpis. Significant differences were also detected between these cryptic species in the allele frequencies of glucose-6-phosphate isomerase (Gpi) and malate dehydrogenase, decarboxylating (Me). One species showed mean heterozygosities that ranged between 6.6% and 6.7%, with 1.6-1.9 alleles detected per locus, while the other had mean heterozygosities that ranged from 4.3% to 6.3%, with 1.3-1.6 alleles per locus. Comparisons of isozyme profiles with published data suggests that 1 species is similar to the L. longipalpis described in Colombian and Brazilian populations, whereas the other has not been previously reported.

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Anticardiolipin antibodies from sera of patients with systemic lupus erythematosus or syphilis induced leakage of entrapped carboxyfluorescein (CF) from cardiolipin (CL)/phosphatidylcholine(PC) vesicles prepared by sonication of equimolar mixtures of CL:PC. The sera dilution used here was 1:7500. IgG (5-20 mu g/ml) from the same sera, not containing beta(2)GPI, also produced a concentration-dependent leak. Vesicle leakage was inhibited by salt and was not detected with vesicles prepared exclusively with phosphatidylcholine. The demonstration of antibody-induced vesicle leakage offers a convenient system to investigate the mechanism of antibody-lipid binding as well as a potential diagnostic tool.

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We have analyzed 16 missense mutations of the tissue-nonspecific AP (TNAP) gene found in patients with hypophosphatasia. These mutations span the phenotypic spectrum of the disease, from the lethal perinatal/infantile forms to the less severe adult and odontohypophosphatasia. Site-directed mutagenesis was used to introduce a sequence tag into the TNAP cDNA and eliminate the glycosylphosphatidylinositol (GPI)-anchor recognition sequence to produce a secreted epitope-tagged TNAP (setTNAP). The properties of GPI-anchored TNAP (gpiTNAP) and setTNAP were found comparable. After introducing each single hypophosphatasia mutation, the setTNAP and mutant TNAP cDNAs were expressed in COS-1 cells and the recombinant flagged enzymes were affinity purified. We characterized the kinetic behavior, inhibition, and heat stability properties of each mutant using the artificial substrate p-nitrophenylphosphate (pNPP) at pH 9.8. We also determined the ability of the mutants to metabolize two natural substrates of TNAP, that is, pyridoxal-5'-phosphate (PLP) and inorganic pyrophosphate (PPi), at physiological pH. Six of the mutant enzymes were completely devoid of catalytic activity (R54C, R54P, A94T, R206W, G317D, and V365I), and 10 others (A16V, A115V, A160T, A162T, E174K, E174G, D277A, E281K, D361V, and G439R) showed various levels of residual activity. The A160T substitution was found to decrease the catalytic efficiency of the mutant enzyme toward pNPP to retain normal activity toward PPi and to display increased activity toward PLP. The A162T substitution caused a considerable reduction in the pNPPase, PPiase, and PLPase activities of the mutant enzyme. The D277A mutant was found to maintain high catalytic efficiency toward pNPP as substrate but not against PLP or PPi. Three mutations ( E174G, E174K, and E281K) were found to retain normal or slightly subnormal catalytic efficiency toward pNPP and PPi but not against PLP. Because abnormalities in PLP metabolism have been shown to cause epileptic seizures in mice null for the TNAP gene, these kinetic data help explain the variable expressivity of epileptic seizures in hypophosphatasia patients.

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Este trabalho utilizou os dados de precipitação do período de janeiro de 2000 a setembro de 2007 da torre micrometeorológica localizada na Estação Científica Ferreira Pena (ECFP) em Caxiuanã e foram comparados com o algoritmo 3B42 que combina dados de satélites no canal de microoondas para ajustar aqueles do canal infravermelho. Adicionalmente foi feita uma análise da distribuição temporal e espacial da precipitação na Amazônia Oriental utilizando os dados de cinco algoritmos estimadores de precipitação: O Geostationary Environmental SalellitePrecipitation lndex (GPI); o 3B42; 3A12 e 3A25 que são os algoritmos provenientes dos sensores de microondas e do radar meteorológico à bordo do satélite Tropical Rainfall MeasuringMission (TRMM); e o Global Precipitation Climatology Center (GPCC) de janeiro de 1998 a dezembro de 2007. A comparação entre o algoritmo 3B42 com os dados do pluviógrafo da torre mostrou que o estimador 3B42 superestima a precipitação em relação aos dados da torre para todo o período de estudo. Os períodos mais chuvosos foram os trimestres de março-abril-maio (MAM) e dezembro-janeiro-feveireiro (DJF) e os períodos menos chuvosos foram setembro-outubro-novembro (SON) e junho-julho-agosto (JJA). Esta sazonalidade da precipitação se apresenta principalmente devido à influência da Zona de Convergência Intertropical (ZCIT), que contribui de maneira apreciável para a modulação da estação chuvosa na região. A comparação trimestral entre o algoritmo 3B42 e pluviógrafo da torre, mostra que o algoritmo 3B42 superestimou (subestimou) a precipitação em relação ao pluviógrafo em MAM e JJA (DJF e SON); e DJF é o trimestre que apresenta as estimativas de precipitação com valores mais aproximados a precipitação medida na torre micrometeorológica de Caxiuanã. Na média mensal o 3B42 subestima a precipitação de outubro a janeiro e superestima em relação as dados medidos na torre, de março a agosto. O algoritmo3B42 superestimou (subestimou) a precipitação noturna (matutina e vespertina) do ciclo diurno em relação ao pluviógrafo da torre, nas vizinhanças de Caxiuanã. No entanto ambos estimadores mostraram que em média o horário de maior precipitação é por volta das 1800hora local (HL). Além disso, as análises do ciclo diurno médio sazonal indicam que em DJF nos horários de 0900 HL, 1500 HL e 1800HL têm os valores de precipitação estimada pelo algoritmo3B42 mais aproximados aos valores da precipitação medida pontualmente em Caxiuanã. Os meses de novembro a fevereiro têm um máximo principal de precipitação no período vespertino, tanto na torre como no algoritmo 3B42. No período de maio à julho o horário os máximos diurnos de precipitação passam do período da tarde para os da noite e madrugada,modificando o ciclo diurno em comparação aos demais meses. A comparação entre os cinco algoritmos na Amazônia Oriental mostrou diferentes comportamentos entre os estimadores. O algoritmo GPI subestimou s precipitação em relação aos demais algoritmos na região costeira do Amapá e Guiana Francesa e superestimou na região central da Amazônia. Tanto o algoritmo 3A12 quanto o 3A25 apresentaram menor precipitação que os demais algoritmos. O algoritmo 3842, por ser uma combinação de várias estimativas baseadas no canal de microondas e infravermelho, apresenta padrões semelhantes a Figueroa e Nobre (1990). No entanto, o GPCC mostra menos detalhes na distribuição espacial de precipitação nos lugares onde não há pluviômetros como, por exemplo, no Noroeste do Pará. As diferenças entre os algoritmos aqui considerados podem estar relacionados com as características de cada algoritmo e/ou a metodologia empregada. As comparações pontuais de precipitação de um pluviômetro com a média numa área com dados provenientes de satélites podem ser a explicação para as diferenças entre os estimadores nos trimestres ou ciclo diurno. No entanto não se descartam que essas diferenças sejam devidas à diferente natureza da precipitação entre as subregiões, assim como a existência de diferentes sistemas que modulam o ciclo diurno da precipitação na Amazônia Oriental.

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Existe uma diversidade de espécies de Leishmania prevalentes na região Amazônica associadas à LTA configurando a etiologia múltipla da doença e, apesar do conhecimento da elevada ocorrência desta protozoose na Mesorregião do Baixo Amazonas, à oeste do Estado do Pará, quase nada era sabido sobre os agentes etiológicos da doença na referida área. Nesse sentido, o presente trabalho propôs-se a caracterizar por eletroforese de isoenzimas as amostras de Leishmania isoladas de pacientes procedentes da Mesorregião do baixo Amazonas, verificando a existência da correlação geográfica das espécies encontradas com a sua distribuição regional previamente conhecida, e ainda, verificando a presença de variação intraespecífica. A caracterização das 43 amostras de Leishmania foi feita por eletroforese em gel de amido utilizando sete sistemas enzimáticos (6PGDH, PGM, G6PD, MPI, GPI, ASAT E ALAT), comparando seus perfis eletroforéticos com os perfis das sete cepas-referência das espécies conhecidas da região. As amostras foram testadas previamente por imunofluorescência indireta com o uso de um painel com 23 anticorpos monoclonais (sistema biotina-avidina) apenas como uma triagem. A caracterização isoenzimática das amostras permitiu o seguinte resultado: 11 (25,28%) amostras de L. (V) braziliensis, 20 (46,50%) de L.(V) guyanensis, 2 (4,60%) de L.(L.) amazonensis, 4 (9,30%) de L.(V) shawi e 6 (13,95%) de L.(V) lainsoni. A eletroforese isoenzimática apresentou elevado poder discriminatório para a identificação das amostras estudadas, permitindo concluir que esta técnica representa uma importante ferramenta para a caracterização dos parasitos do gênero Leishmania. Nas cepas de L. (V) braziliensis observou-se pela primeira vez na Mesorregião do Baixo Amazonas a ocorrência de variação intraespecífica revelada pela presença de três serodemas. Nas cepas de L. (V) guyanensis observou-se a presença de duas variantes, uma que apresentou reatividade com o monoclonal B 19 (espécie-específico), porém com variação nas enzimas 6PGDH e PGM, e a Segunda, sem reatividade para este monoclonal e com perfis eletroforéticos semelhantes ao da cepa-referência L. (V) guyanensis especialmente nas enzimas 6PGDH, porém com tribandas, e na PGM, consideradas os melhores marcadores enzimáticos pelo seu elevado poder discriminatório. Dessa forma, descreveu-se pela primeira vez a ocorrência de diferentes espécies de Leishmania dermotrópicas na Mesorregião do Baixo Amazonas, as quais já tem registro na região norte do Brasil, sugerindo a transmissão simpátrica das espécies encontradas na referida área estudada.

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A doença de Chagas, causada pelo protozoário flagelado Trypanosoma cruzi, foi descrita pelo pesquisador brasileiro Carlos Chagas em 1909. É transmitida ao homem por insetos hemípteros conhecidos como barbeiros dos quais os gêneros mais importantes são Panstrongylus, Rhodnius e Triatoma. Essa zoonose representa um risco para aproximadamente 20 milhões de pessoas em todo o mundo, principalmente na América Latina. Para tentar explicar as diferentes manifestações observadas na doença de Chagas, vários estudos foram realizados com intuito de averiguar as possíveis correlações entre as formas clínicas com a variabilidade genética do parasito. Algumas hipóteses estão relacionadas provavelmente ao fato de a doença ser um processo multifatorial, em que tanto aspectos do parasito como do hospedeiro estão inter-relacionados ou ainda a escolha inadequada de alvos como marcadores de patogenicidade na tentativa de estabelecer a correlação entre as formas clínicas e a variabilidade genética do parasito. Com o intuito de contribuir para ampliar o conhecimento sobre as populações de T. cruzi, foi realizada a cinética de crescimento em meio LIT e o estudo genotípico de seis cepas de T. cruzi isoladas de exemplares de R. montenegrensis, T. rubrovaria e T. sordida por meio de marcadores genotípicos utilizando as sequência dos genes 24Sα do DNA ribossomal, HSP60 e GPI.

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A doença de Chagas, causada pelo protozoário flagelado Trypanosoma cruzi, foi descrita pelo pesquisador brasileiro Carlos Chagas em 1909. É transmitida ao homem por insetos hemípteros conhecidos como barbeiros dos quais os gêneros mais importantes são Panstrongylus, Rhodnius e Triatoma. Essa zoonose representa um risco para aproximadamente 20 milhões de pessoas em todo o mundo, principalmente na América Latina. Para tentar explicar as diferentes manifestações observadas na doença de Chagas, vários estudos foram realizados com intuito de averiguar as possíveis correlações entre as formas clínicas com a variabilidade genética do parasito. Algumas hipóteses estão relacionadas provavelmente ao fato de a doença ser um processo multifatorial, em que tanto aspectos do parasito como do hospedeiro estão inter-relacionados ou ainda a escolha inadequada de alvos como marcadores de patogenicidade na tentativa de estabelecer a correlação entre as formas clínicas e a variabilidade genética do parasito. Com o intuito de contribuir para ampliar o conhecimento sobre as populações de T. cruzi, foi realizada a cinética de crescimento em meio LIT e o estudo genotípico de seis cepas de T. cruzi isoladas de exemplares de R. montenegrensis, T. rubrovaria e T. sordida por meio de marcadores genotípicos utilizando as sequência dos genes 24Sα do DNA ribossomal, HSP60 e GPI.

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Objective-The coagulation-inflammation cycle has been implicated as a critical component in malaria pathogenesis. Defibrotide (DF), a mixture of DNA aptamers, displays anticoagulant, anti-inflammatory, and endothelial cell (EC)-protective activities and has been successfully used to treat comatose children with veno-occlusive disease. DF was investigated here as a drug to treat cerebral malaria. Methods and Results-DF blocks tissue factor expression by ECs incubated with parasitized red blood cells and attenuates prothrombinase activity, platelet aggregation, and complement activation. In contrast, it does not affect nitric oxide bioavailability. We also demonstrated that Plasmodium falciparum glycosylphosphatidylinositol (Pf-GPI) induces tissue factor expression in ECs and cytokine production by dendritic cells. Notably, dendritic cells, known to modulate coagulation and inflammation systemically, were identified as a novel target for DF. Accordingly, DF inhibits Toll-like receptor ligand-dependent dendritic cells activation by a mechanism that is blocked by adenosine receptor antagonist (8-p-sulfophenyltheophylline) but not reproduced by synthetic poly-A, -C, -T, and -G. These results imply that aptameric sequences and adenosine receptor mediate dendritic cells responses to the drug. DF also prevents rosetting formation, red blood cells invasion by P. falciparum and abolishes oocysts development in Anopheles gambiae. In a murine model of cerebral malaria, DF affected parasitemia, decreased IFN-gamma levels, and ameliorated clinical score (day 5) with a trend for increased survival. Conclusion-Therapeutic use of DF in malaria is proposed. (Arterioscler Thromb Vasc Biol. 2012; 32:786-798.)

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The macrophages are the first host cells that interact with the fungus Paracoccidioides brasiliensis, but the main mechanisms that regulate this interaction are not well understood. Because the role played by P. brasiliensis lipids in macrophage activation was not previously investigated, we aimed to assess the influence of diverse lipid fractions from P. brasiliensis yeasts in this process. The possible participation of TLR2 and TLR4 signaling was also evaluated using TLR2- and TLR4-defective macrophages. Four lipid-rich fractions were studied as follows: F1, composed by membrane phospholipids and neutral lipids, F2 by glycolipids of short chain, F3a by membrane glycoproteins anchored by glycosylphosphatidylinositol (GPI) groups, and F3b by glycolipids of long chain. All assayed lipid fractions were able to activate peritoneal macrophages and induce nitric oxide (NO) production. Importantly, the F1 and F3a fractions exerted opposite effects in the control of P. brasiliensis uptake and killing, but both fractions inhibited cytokines production. Furthermore, the increased NO production and expression of costimulatory molecules induced by F3a was shown to be TLR2 dependent although F1 used Toll-independent mechanisms. In conclusion, our work suggests that lipid components may play a role in the innate immunity against P. brasiliensis infection using Toll-dependent and independent mechanisms to control macrophage activation.

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The continuous increase of genome sequencing projects produced a huge amount of data in the last 10 years: currently more than 600 prokaryotic and 80 eukaryotic genomes are fully sequenced and publically available. However the sole sequencing process of a genome is able to determine just raw nucleotide sequences. This is only the first step of the genome annotation process that will deal with the issue of assigning biological information to each sequence. The annotation process is done at each different level of the biological information processing mechanism, from DNA to protein, and cannot be accomplished only by in vitro analysis procedures resulting extremely expensive and time consuming when applied at a this large scale level. Thus, in silico methods need to be used to accomplish the task. The aim of this work was the implementation of predictive computational methods to allow a fast, reliable, and automated annotation of genomes and proteins starting from aminoacidic sequences. The first part of the work was focused on the implementation of a new machine learning based method for the prediction of the subcellular localization of soluble eukaryotic proteins. The method is called BaCelLo, and was developed in 2006. The main peculiarity of the method is to be independent from biases present in the training dataset, which causes the over‐prediction of the most represented examples in all the other available predictors developed so far. This important result was achieved by a modification, made by myself, to the standard Support Vector Machine (SVM) algorithm with the creation of the so called Balanced SVM. BaCelLo is able to predict the most important subcellular localizations in eukaryotic cells and three, kingdom‐specific, predictors were implemented. In two extensive comparisons, carried out in 2006 and 2008, BaCelLo reported to outperform all the currently available state‐of‐the‐art methods for this prediction task. BaCelLo was subsequently used to completely annotate 5 eukaryotic genomes, by integrating it in a pipeline of predictors developed at the Bologna Biocomputing group by Dr. Pier Luigi Martelli and Dr. Piero Fariselli. An online database, called eSLDB, was developed by integrating, for each aminoacidic sequence extracted from the genome, the predicted subcellular localization merged with experimental and similarity‐based annotations. In the second part of the work a new, machine learning based, method was implemented for the prediction of GPI‐anchored proteins. Basically the method is able to efficiently predict from the raw aminoacidic sequence both the presence of the GPI‐anchor (by means of an SVM), and the position in the sequence of the post‐translational modification event, the so called ω‐site (by means of an Hidden Markov Model (HMM)). The method is called GPIPE and reported to greatly enhance the prediction performances of GPI‐anchored proteins over all the previously developed methods. GPIPE was able to predict up to 88% of the experimentally annotated GPI‐anchored proteins by maintaining a rate of false positive prediction as low as 0.1%. GPIPE was used to completely annotate 81 eukaryotic genomes, and more than 15000 putative GPI‐anchored proteins were predicted, 561 of which are found in H. sapiens. In average 1% of a proteome is predicted as GPI‐anchored. A statistical analysis was performed onto the composition of the regions surrounding the ω‐site that allowed the definition of specific aminoacidic abundances in the different considered regions. Furthermore the hypothesis that compositional biases are present among the four major eukaryotic kingdoms, proposed in literature, was tested and rejected. All the developed predictors and databases are freely available at: BaCelLo http://gpcr.biocomp.unibo.it/bacello eSLDB http://gpcr.biocomp.unibo.it/esldb GPIPE http://gpcr.biocomp.unibo.it/gpipe

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The DOMON domain is a domain widespread in nature, predicted to fold in a β-sandwich structure. In plants, AIR12 is constituted by a single DOMON domain located in the apoplastic space and is GPI-modified for anchoring to the plasma membrane. Arabidopsis thaliana AIR12 has been heterologously expressed as a recombinant protein (recAtAIR12) in Pichia pastoris. Spectrophotometrical analysis of the purified protein showed that recAtAir12 is a cytochrome b. RecAtAIR12 is highly glycosylated, it is reduced by ascorbate, superoxide and naftoquinones, oxidised by monodehydroascorbate and oxygen and insensitive to hydrogen peroxide. The addition of recAtAIR12 to permeabilized plasma membranes containing NADH, FeEDTA and menadione, caused a statistically significant increase in hydroxyl radicals as detected by electron paramagnetic resonance. In these conditions, recAtAIR12 has thus a pro-oxidant role. Interestingly, AIR12 is related to the cytochrome domain of cellobiose dehydrogenase which is involved in lignin degradation, possibly via reactive oxygen species (ROS) production. In Arabidopsis the Air12 promoter is specifically activated at sites where cell separations occur and ROS, including •OH, are involved in cell wall modifications. air12 knock-out plants infected with Botrytis cinerea are more resistant than wild-type and air12 complemented plants. Also during B. cinerea infection, cell wall modifications and ROS are involved. Our results thus suggest that AIR12 could be involved in cell wall modifying reactions by interacting with ROS and ascorbate. CyDOMs are plasma membrane redox proteins of plants that are predicted to contain an apoplastic DOMON fused with a transmembrane cytochrome b561 domain. CyDOMs have never been purified nor characterised. The trans-membrane portion of a soybean CyDOM was expressed in E. coli but purification could not be achieved. The DOMON domain was expressed in P. pastoris and shown to be itself a cytochrome b that could be reduced by ascorbate.

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The Eph receptor tyrosine kinases mediate juxtacrine signals by interacting “in trans” with ligands anchored to the surface of neighboring cells via a GPI-anchor (ephrin-As) or a transmembrane segment (ephrin-Bs), which leads to receptor clustering and increased kinase activity. Additionally, soluble forms of the ephrin-A ligands released from the cell surface by matrix metalloproteases can also activate EphA receptor signaling. Besides these trans interactions, recent studies have revealed that Eph receptors and ephrins coexpressed in neurons can also engage in lateral “cis” associations that attenuate receptor activation by ephrins in trans with critical functional consequences. Despite the importance of the Eph/ephrin system in tumorigenesis, Eph receptor-ephrin cis interactions have not been previously investigated in cancer cells. Here we show that in cancer cells, coexpressed ephrin-A3 can inhibit the ability of EphA2 and EphA3 to bind ephrins in trans and become activated, while ephrin-B2 can inhibit not only EphB4 but also EphA3. The cis-inhibition of EphA3 by ephrin-B2 implies that in some cases ephrins that cannot activate a particular Eph receptor in trans can nevertheless inhibit its signaling ability through cis association. We also found that an EphA3 mutation identified in lung cancer enhances cis interaction with ephrin-A3. These results suggest a novel mechanism that may contribute to cancer pathogenesis by attenuating the tumor suppressing effects of Eph receptor signaling pathways activated by ephrins in trans (Falivelli et al. 2013).

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It has been shown that β(2) -glycoprotein I (β(2) GPI) interacts with von Willebrand factor (VWF) in a glycoprotein (GP)Ib binding state. Given the presence of active VWF multimers in thrombotic thrombocytopenic purpura (TTP), we speculated that β(2) GPI might play a role in TTP. We found that β(2) GPI plasma levels were significantly lower in acute and remission TTP patients than in normal controls, showing a direct correlation with ADAMTS 13 levels and an inverse correlation with the extent of VWF activation. In vitro flow experiments demonstrated that β(2) GPI can block platelet adhesion to endothelial cell-derived VWF strings. We confirmed the direct binding of β(2) GPI to VWF by surface plasmon resonance, and determined that domain I of β(2) GPI is the binding site of VWF A1 domain. Adhesion of β(2) GPI to erythrocytes and platelets was increased in the presence of active VWF, indicating that β(2) GPI may be cleared from the circulation during TTP episodes together with blood cells. Our findings suggest that β(2) GPI may protect from the effects of hyper-functional VWF by inhibiting its interaction with platelets.

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Glial cell line-derived neurotrophic factor (GDNF) increases survival and neurite extension of spiral ganglion neurons (SGNs), the primary neurons of the auditory system, via yet unknown signaling mechanisms. In other cell types, signaling is achieved by the GPI-linked GDNF family receptor α1 (GFRα1) via recruitment of transmembrane receptors: Ret (re-arranged during transformation) and/or NCAM (neural cell adhesion molecule). Here we show that GDNF enhances neuritogenesis in organotypic cultures of spiral ganglia from 5-day-old rats and mice. Addition of GFRα1-Fc increases this effect. GDNF/GFRα1-Fc stimulation activates intracellular PI3K/Akt and MEK/Erk signaling cascades as detected by Western blot analysis of cultures prepared from rats at postnatal days 5 (P5, before the onset of hearing) and 20 (P20, after the onset of hearing). Both cascades mediate GDNF stimulation of neuritogenesis, since application of the Akt inhibitor Wortmannin or the Erk inhibitor U0126 abolished GDNF/GFRα1-Fc stimulated neuritogenesis in P5 rats. Since cultures of P5 NCAM-deficient mice failed to respond by neuritogenesis to GDNF/GFRα1-Fc, we conclude that NCAM serves as a receptor for GDNF signaling responsible for neuritogenesis in early postnatal spiral ganglion.