188 resultados para Leukemia Immunological aspects


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Chronic neutrophilic leukemia (CNL) is a rare disease and can cause considerable diagnostic difficulty. Although the V617F JAK2 mutation has been described by several groups to be associated with classical myeloproliferative disorders (MPD), this same mutation has been detected with a low incidence in atypical MPD, such as CNL. Here we report the presence of the V617F mutation in a CNL patient, who is unusual for having survived for more than 96 months, with little disease progression. It remains to be established what role this mutation, which gives cells a proliferative advantage, might play in the pathogenesis and prognosis of rare atypical MPD.

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Eubacteria of the genus Rhodococcus are a diverse group of microorganisms commonly found in many environmental niches from soils to seawaters and as plant and animal pathogens. They exhibit a remarkable ability to degrade many organic compounds and their economic importance is becoming increasingly apparent. Although their genetic organisation is still far from understood, there have been many advances in recent years. Reviewed here is the current knowledge of rhodococci relating to gene transfer, recombination, plasmid replication and functions, cloning vectors and reporter genes, gene expression and its control, bacteriophages, insertion sequences and genomic rearrangements. Further fundamental studies of Rhodococcus genetics and the application of genetic techniques to the these bacteria will be needed for their continued biotechnological exploitation.

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The catalytic subunit of human telomerase (TERT) is highly expressed in cancer cells, and correlates with complex cytogenetics and disease severity in acute myeloid leukemia (AML). The TERT promoter is situated within a large CpG island, suggesting that expression is methylation-sensitive. Studies suggest a correlation between hypermethylation and TERT overexpression. We investigated the relationship between TERT promoter methylation and expression and telomerase activity in human leukemia and lymphoma cell lines. DAC-induced demethylation and cell death were observed in all three cell lines, as well as telomere shortening in HL-60 cells. DAC treatment reduced TERT expression and telomerase activity in OCI/AML3 and HL-60 cells, but not in U937 cells. Control U937 cells expressed lower levels of TERT mRNA, carried a highly methylated TERT core promoter, and proved more resistant to DAC-induced repression of TERT expression and cell death. AML patients had significantly lower methylation levels at several CpGs than "well elderly" individuals. This study, the first to investigate the relationship between TERT methylation and telomerase activity in leukemia cells, demonstrated a differential methylation pattern and response to DAC in three AML cell lines. We suggest that, although DAC treatment reduces TERT expression and telomerase activity, this is unlikely to occur via direct demethylation of the TERT promoter. However, further investigations on the regions spanning CpGs 7-12 and 14-16 may reveal valuable information regarding transcriptional regulation of TERT.

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Mouse monoclonal antibodies (MAbs) were generated against a 76-kDa IutA receptor of pathogenic avian Escherichia coli 15972. Six of the eight IutA-specific MAbs isolated (AB1 to AB6) were shown to be directed toward membrane-exposed conformational epitopes, although they did not interfere with the uptake of ferric aerobactin and cloacin DF13 as assessed by competition experiments with purified ligands. The two remaining IutA MAbs (AB9 and AB10) recognized linear epitopes buried in the IutA molecule. The panel of IutA MAbs was used to characterize IutA variants occurring in strains of E. coli, Klebsiella pneumoniae, Enterobacter spp., and Shigella spp., resulting in the identification of four immunological groups of IutAs. MAb AB9 defined an epitope conserved in all IutA variants. In addition, the panel of IutA MAbs served to identify the presence of IutA in wild-type bacteria grown in the presence of diphenylamine to reduce the expression of O-specific polysaccharide.

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The characterization and the definition of the complexity of objects is an important but very difficult problem that attracted much interest in many different fields. In this paper we introduce a new measure, called network diversity score (NDS), which allows us to quantify structural properties of networks. We demonstrate numerically that our diversity score is capable of distinguishing ordered, random and complex networks from each other and, hence, allowing us to categorize networks with respect to their structural complexity. We study 16 additional network complexity measures and find that none of these measures has similar good categorization capabilities. In contrast to many other measures suggested so far aiming for a characterization of the structural complexity of networks, our score is different for a variety of reasons. First, our score is multiplicatively composed of four individual scores, each assessing different structural properties of a network. That means our composite score reflects the structural diversity of a network. Second, our score is defined for a population of networks instead of individual networks. We will show that this removes an unwanted ambiguity, inherently present in measures that are based on single networks. In order to apply our measure practically, we provide a statistical estimator for the diversity score, which is based on a finite number of samples.