Project description:Transcriptional profiling of biopsies from tuberculin skin test sites was performed to investigate the interaction of complex cellular and molecular networks at the interface between innate and adaptive immunity which coordinate anti-mycobacterial responses in vivo.
Project description:We have used a lipoprotein-deficient mutant Streptococcus pneumoniae strain, delta lgt, to investigate the role of lipoproteins during inflammatory responses to live S. pneumoniae.
Project description:We used genome-wide transcriptional profiling by microarray to assess the contribution of pneumolysin on macrophage innate immune responses to the TIGR4 strain of Streptococcus pneumoniae (Spn). We focused on the early transcriptional responses at 4 hours after inoculation of human blood monocyte-derived macrophage cultures with Spn at a multiplicity of 10 bacteria to each cell. We compared transcriptomes in the presence and absence of wildtype or pneumolysin-deficient TIGR4 Spn, and also in the presence and absence of cytochalasin D to assess whether there is a differential effect of pneumolysin on innate immune responses with and without bacterial internalisation.
Project description:We measured TNFα activity on the transcriptional level by identifying TNFα-inducible genes in human blood monocyte-derived macrophages (MDM). On the basis that TNFα does not act in isolation, we used bacterial lipopolysaccharide (LPS) as a prototypic model of a stimulus to invoke secretion of a wide range of immunologically active factors, including TNFα. In order to identify gene expression attributable to LPS-induced TNFα, we compared the transcriptome of MDM 24 hours after stimulation with 100 ng/ml ultra-pure LPS in the presence and absence of the soluble TNF receptor fusion protein Etanercept (10 µg/ml).
Project description:In this study, we compared human monocytes differentiated for 7 days with M-CSF and/or GM-CSF. A comparison of the different macrophage populations was made using microarray profiling. Threshold: 1.0 . Logbase: 2 . Technology: Agilent.SingleColor.14850. Normalization: Shift to 75 percentile . Baseline Transformation: median of all samples . FlagSettings:. Feature is not Uniform:A. Feature is a population outlier:A. Feature is Saturated:A. Feature is not above background:M. Feature is not positive and significant:M.
Project description:We performed gene expression analysis using Affymetrix U133Plus2 microarray chips on cultures of infected human cells. To mimic an in vivo infection, we infected human monocyte-derived macrophages (MDMs) in vitro with wild-type L. chagasi parasites and then co-cultured those infected MDMs with naive, autologous T-cells.