Project description:Toy dataset for a workshop on GNPS at Imperial College London, UK.
Breadth samples for early diagnose of gastric/oesophageal cancer
Project description:Infected neonatal mouse cardiomyocyte COMMENT: Submitter has not provided GEO with full dataset as described in Nat Genet. 2004 Feb;36(2):123-30. Keywords: parallel sample
Project description:This work focuses on understanding the molecular basis of the immune dysfunctions in Idiopathic CD4+ T cells lymphocytopenia (ICL). ICL is a rare haematological disorder of unknown origin, characterized by a profound and persistent CD4+ T-cell defect, which predisposes to life threatening opportunistic infections very similar to those seen in AIDS. To analyse more in depth the functional pathways involved in ICL pathogenesis, we conducted gene expression profiling of CD4+ T-cells isolated from blood samples from ICL, sarcoidosis and healthy individuals. Our analyses have revealed specific CD4+ T-cells gene expression signatures in ICL associated with defective TCR activation threshold, expansion of the Treg-cell compartment and interestingly with accelerated immune aging.
Project description:This work focuses on understanding the molecular basis of the immune dysfunctions in Idiopathic CD4+ T cells lymphocytopenia (ICL). ICL is a rare haematological disorder of unknown origin, characterized by a profound and persistent CD4+ T-cell defect, which predisposes to life threatening opportunistic infections very similar to those seen in AIDS. To analyse more in depth the functional pathways involved in ICL pathogenesis, we conducted gene expression profiling of CD4+ T-cells isolated from blood samples from ICL, sarcoidosis and healthy individuals. Our analyses have revealed specific CD4+ T-cells gene expression signatures in ICL associated with defective TCR activation threshold, expansion of the Treg-cell compartment and interestingly with accelerated immune aging. 25 Total samples were analyzed. We generated the following pairwise comparisons using GenoSplice technology. We permormed multiple anlayses including : ICL vs Healthy (All or paired samples), ICL vs SARC (All or paired samples) and SARC vs Healthy (All or paired sample). Paired samples means that a same healthy individual was using in comparaison of a ICL or SARC subjects. Genes with a Fold-change ? 1,5 and P-Value ? 0,05 were selected.
Project description:Infected neonatal mouse cardiomyocyte; COMMENT: Submitter has not provided GEO with full dataset as described in Nat Genet. 2004 Feb;36(2):123-30.
Project description:Sonic hedgehog (Shh) signals via Gli transcription factors to stimulate proliferation of granule neuron precursor cells (GNPs) in the cerebellum. Deregulation of Shh target genes often results in unrestrained GNP proliferation and eventually medulloblastoma (MB), the most common pediatric brain malignancy. Gene expression profiling was coupled with transcription factor binding location analysis to determine the Gli1-controlled transcriptional regulatory networks in GNPs and medulloblastoma cells. We detected significant overlap, as well as differences, in the Gli1-controlled transcriptional regulatory networks in GNPs and MBs. We determined the presence of gene expression in each dataset. There were 9260 genes expressed in Gli1-FLAG GNPs and 9185 genes expressed in Gli1-FLAG;Ptc+/- tumors; 8691 of which are in common. The large overlap is consistent with the cellular origin of these tumors. When the genes detectably expressed were intersected with our binding data, there were only 132 putative Gli1 target genes shared by both cell populations. Due to the heightened activation of the Hh pathway in tumors relative to GNPs, we further deduced direct Gli1 target genes exclusive to tumors by determining significantly induced genes in tumors versus in Ptc+/- GNPs. We identified at least 116 tumor-specific Gli1 target genes. These data suggest that tumor formation is accompanied by a tremendous change in the battery of Gli target genes. Presence of gene expression was determined for all samples: Gli1-FLAG-expressing GNPs, Ptc+/- GNPs, and Gli1-FLAG;Ptc+/-medulloblastomas. These datasets were intersected with chIP-chip data to determine potential direct Gli1 target genes. Differential gene expression was determined by comparing expression profiles from medulloblastoma tumors to those from Ptc+/- GNPs.