T cell development relies on the precise developmental control of various cellular functions for appropriate positive and negative selection. Previously, gene expression profiling of peptide-driven negative selection events in the N15 TCR class I MHC-restricted mouse and D011.10 TCR class II MHC-restricted mouse has offered insights into the coordinate engagement of biological processes affecting thymocyte development. However, there has been little comparable detailed in vivo global genome expression analysis reported for positive selection.
PlexinD1 glycoprotein controls migration of positively selected thymocytes into the medulla.
No sample metadata fields
View SamplesAn investigation of gene expression changes in rectal biopsies from donors with IBS compared to controls to begin to understand this complex syndrome. To further investigate differences between IBS groups (constipation and diarrhoea predominant) (part1) and how IBS relates to bacterial infection (part2) with biopsies taken 6 months after Campylobacter jejuni infection.
Identifying and testing candidate genetic polymorphisms in the irritable bowel syndrome (IBS): association with TNFSF15 and TNFα.
Sex, Specimen part, Disease, Subject
View SamplesAffymetrix HG_U133 array sets (A and B chips) were used to determine the whole genome transcription profile of clinically documented and neuropathologically confirmed cases of sporadic Parkinson's disease as well as controls.
Whole genome expression profiling of the medial and lateral substantia nigra in Parkinson's disease.
No sample metadata fields
View SamplesSchistosomiasis continues to be an important cause of parasitic morbidity and mortality world-wide. Determining the molecular mechanisms regulating the development of granulomas and fibrosis will be essential for understanding how schistosome antigens interact with the host environment. We report here the first whole genome microarray analysis of the murine liver during the progression of Schistosoma japonicum egg-induced granuloma formation and hepatic fibrosis. Our results reveal a distinct temporal relationship between the expression of chemokine subsets and the recruitment of cells to the infected liver. Genes up-regulated earlier in the response included T- and B-cell chemoattractants, reflecting the early recruitment of these cells illustrated by flow cytometry. The later phases of the response corresponded with peak recruitment of eosinophils, neutrophils, macrophages and myofibroblasts/hepatic stellate cells (HSCs) and the expression of chemokines with activity for these cells including CCL11 (eotaxin 1), members of the Monocyte-chemoattractant protein family (CCL7, CCL8, CCL12) and the Hepatic Stellate Cell/Fibrocyte chemoattractant CXCL1. Peak expression of macrophage chemoattractants (CCL6, CXCL14) and markers of alternatively-activated macrophages (e.g. Retnla) during this later phase provides further evidence of a role for these cells in schistosome-induced pathology. Additionally, we demonstrate that CCL7 immunolocalises to the fibrotic zone of granulomas. Furthermore, striking up-regulation of neutrophil markers and the localisation of neutrophils and the neutrophil chemokine S100A8 to fibrotic areas suggests the involvement of neutrophils in S. japonicum-induced hepatic fibrosis. These results further our understanding of the immunopathogenic and, especially, chemokine signalling pathways that regulate the development of S. japonicum-induced granulomas and fibrosis and may provide correlative insight into the pathogenesis of other chronic inflammatory diseases of the liver where fibrosis is a common feature.
Temporal expression of chemokines dictates the hepatic inflammatory infiltrate in a murine model of schistosomiasis.
Sex, Age, Specimen part, Treatment
View SamplesBackground: Pterostilbene, a naturally occurring phenolic compound produced by agronomically important plant genera such as Vitis and Vacciunium, is a phytoalexin exhibiting potent antifungal activity. Additionally, recent studies have demonstrated several important pharmacological properties associated with pterostilbene. Despite this, a systematic study of the effects of pterostilbene on eukaryotic cells at the molecular level has not been previously reported. Thus, the aim of the present study was to identify the cellular pathways affected by pterostilbene by performing transcript profiling studies, employing the model yeast Saccharomyces cerevisiae. Methods: S. cerevisiae strain S288C was exposed to pterostilbene at the IC50 concentration (70 uM) for one generation (3 h). Transcript profiling experiments were performed on three biological replicate samples using the Affymetrix GeneChip Yeast Genome S98 Array. The data were analyzed using the statistical methods available in the GeneSifter microarray data analysis system. To validate the results, eleven differentially expressed genes were further examined by quantitative real-time RT-PCR, and S. cerevisiae mutant strains with deletions in these genes were analyzed for altered sensitivity to pterostilbene. Results: Transcript profiling studies revealed that pterostilbene exposure significantly down-regulated the expression of genes involved in methionine metabolism, while the expression of genes involved in mitochondrial functions, drug detoxification, and transcription factor activity were significantly up-regulated. Additional analyses revealed that a large number of genes involved in lipid metabolism were also affected by pterostilbene treatment. Conclusions: Using transcript profiling, we have identified the cellular pathways targeted by pterostilbene, an analog of resveratrol. The observed response in lipid metabolism genes is consistent with its known hypolipidemic properties, and the induction of mitochondrial genes is consistent with its demonstrated role in apoptosis in human cancer cell lines. Furthermore, our data show that pterostilbene has a significant effect on methionine metabolism, a previously unreported effect for this compound.
Identification of molecular pathways affected by pterostilbene, a natural dimethylether analog of resveratrol.
No sample metadata fields
View SamplesGene expressions of murine germinal center and naive B cells on Affymetrix platform
Multiple transcription factor binding sites predict AID targeting in non-Ig genes.
No sample metadata fields
View SamplesThe dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions.
Antiviral response dictated by choreographed cascade of transcription factors.
Specimen part, Subject
View SamplesThis dataset contains whole-genome RNA sequencing results from rat embryonic hippocampal neuronal cultures and serves as the basis for characterization of CRISPR/dCas9 gene activation in neuronal systems. Overall design: This experiment contains 9 biological samples, each of which underwent directional, paired-end PolyA+ RNA-seq on an Illumina Next-seq 500. Samples were treated with Lacz sgRNA (LZ2, LZ4, & LZ5), Bdnf-I sgRNA (B16, B17, B18), or Bdnf-IV sgRNA (BIV11, BIV14, BIV15), in addition to a dCas9-VPR fusion. Datasets were obtained using RNA-seq from PolyA+ fractions fractions of RNA. Each sample has multiple files, corresponding to different sequencing lanes (e.g., L001, L002, etc) or different reads (e.g., R1, R2).
A Neuron-Optimized CRISPR/dCas9 Activation System for Robust and Specific Gene Regulation.
Specimen part, Cell line, Treatment, Subject
View SamplesLNCaP cells were maintained in charcoal-stripped serum containing medium for 48 hours and treated with vehicle or 10 uM of UT-69, UT-155, R-UT-155, or enzalutamide. Twenty four hours after treatment, the cells were harvested, RNA was isolated and expression of genes was measured using microarray (Affymetrix Clarion S)
Novel Selective Agents for the Degradation of Androgen Receptor Variants to Treat Castration-Resistant Prostate Cancer.
Cell line
View SamplesGene expression profiles of bipolar disorder (BD) patients were assessed during both a manic and a euthymic phase and compared both intra-individually, and with the gene expression profiles of controls.
Investigation of manic and euthymic episodes identifies state- and trait-specific gene expression and STAB1 as a new candidate gene for bipolar disorder.
Specimen part, Disease, Subject
View Samples