Cells were analyzed on an FACSCanto (BD Biosciences), followed by

Cells were analyzed on an FACSCanto (BD Biosciences), followed by analysis with FlowJo software (Tristar). Expression of γc in T cells was analyzed by Western blotting using a rabbit anti γc as first antibody (1:500; Santa Cruz) and a peroxidase-conjugated secondary antibody (1:6000; Amersham). Nuclear proteins were extracted from spleen CD3+ T cells and the amounts of activated NF-κB p65 subunit and NFATc1 were measured with commercial kits (Nuclear Extract Kit and TransAM™, Active Motif), according to the manufacturer’s instructions. Allograft-survival comparisons between

groups were analyzed using the log rank method. RT-PCR data were analyzed by the non-parametric Kruskal–Wallis and Mann–Whithney test. Other statistical analyses were performed selleck products using bilateral Student t test or ANOVA followed by protected least significance difference Fisher test when multiple groups were compared

(Statview). Results with p<0.05 were considered statistically significant. All values are means±SEM. This work was supported by the INSERM and by the Faculté de Médecine Pierre et Marie Curie. Additional support was provided by grants from the Association pour la Recherche sur le Cancer (No. 9946), the Ligue Nationale contre le Cancer (Comité de Paris), the Baxter Extramural Grant Program, and the Agence de la Biomédecine. E. L. was supported by grants from INSERM and Fondation pour la signaling pathway until Recherche Médicale. C. D. C. was supported by the Else-Kröner-Fresenius Foundation. We thank Philippe Fontanges and Romain Morichon for confocal microscopy experiments, Olivier Lantz (Laboratoire d’Immunologie, INSERM U932, Institut Curie, Paris, France) for valuable discussions and all participating centers of the

European Renal cDNA Bank-Kroener-Fresenius biopsy bank (ERCB-KFB) and their patients for their cooperation. Conflict of interest: The authors declare no financial or commercial conflict of interest. “
“Although many case–control studies have investigated the association between P2X7 gene polymorphisms and tuberculosis susceptibility, the interpretation of these data has been difficult due to limited power. As a means of better understanding the link between P2X7 and tuberculosis, a systematic review of the literature was conducted using metaanalysis. This approach provided a quantitative summary estimate on the association between P2X7 and tuberculosis. We searched databases (MEDLINE, PUBMED, and OVID) between January 1998 and July 2010 using the search words ‘gene’ or ‘P2X7’ in combination with ‘tuberculosis,’ performed manual citation searches from relevant original studies and review articles and corresponded with researchers in the field of study. The pooled odds ratios (ORs) for studies examining variations in the P2X7 gene 1513 C and −762 C loci were 1.44 [95% confidence interval (CI) 1.23–1.68; P<0.

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