Project description:Androgens are a prequisite for the development of human prostate and prostate cancer. Androgen action is mediated via androgen receptor. Androgen ablation therapy is used for the treatment of metastasized prostate cancer. The aim of the study was to identify genes differentially expressed in benign human prostate, prostate cancer and in prostate tissue three days after castration. These genes are potential diagnostic and therapeutic targets for prostate cancer and benign prostatic hyperplasia. We used microarrays to examine the gene expression profiles in benign prostate adjacent to prostate cancer and prostate cancer in radical prostatectomy specimens and in prostate tissue samples taken 3 days after surgical castration performed for treatment of prostate cancer. Human prostate tissue was obtained from radical prostatectomy samples and from prostate biopsy samples (castrated samples). Benign and malignant tissues samples were microdissected from prostatectomy samples. Tissues were used for RNA isolation and were further processed as samples for microarray. Three prostatectomy samples were used as replicates (benign and malignant prostate). All prostate cancers were Gleason 3+3 pattern. Castrated tissue samples were taken from patients three days after surgical castration for the treatment of advanced or metastasized prostate cancer. Six biopsies were taken from each subject and individual subject samples were used as three replicates in microarray.
Project description:Thymic lymphomas were generated by inducing Sleeping Beauty transposon mutagenesis at different stages of T-cell development. This dataset includes exon array results from 14 tumor samples from two different Sleeping Beauty models of T-ALL (7 Vav-SB and 7 CD4-SB samples).
Project description:The objective of this study was to test if maternal high protein diet during pregnancy or lactation, imposes different transient or persistently imprinted effects on the liver transcriptome of offspring Livers from 4 to 5 animals (one animal per litter) at days 21 and 150 of of each dietary group were combined to 3 pools each, and processed for microarray analysis.
Project description:During sexual reproduction half of the genetic material is deposited in gametes and a complete set of chromosomes is restored upon fertilisation. Reduction of the genetic information prior gametogenesis occurs in meiosis where crossovers (COs) between homologous chromosomes secure an exchange of their genetic information. COs are not evenly distributed along chromosomes and are suppressed in chromosomal regions encompassing compact, hypermethylated centromeric and pericentromeric DNA. Therefore, it has been postulated that DNA hypermethylation is inhibitory to COs. Here by analysing meiotic recombination in mutant plants with hypomethylated DNA we observed unexpected and counterintuitive effects of the DNA methylation losses on COs distribution, further promoting recombination in the naturally hypomethylated euchromatic chromosome arms, while inhibiting it in heterochromatic regions encompassing centromeric and pericentromeric hypermethylated DNA. Importantly, the total number of COs was not affected, implying that the loss of DNA methylation only led to a global redistribution of COs along chromosomes. To determine by which mechanisms altered levels of DNA methylation influenced recombination, namely whether this occurred directly in cis or indirectly in trans by changing expression of genes encoding recombination components, we analysed COs distribution in WT lines with randomly scattered and well mapped hypomethylated chromosomal segments. Results of these experiments, supported by expression profiling data, suggest that DNA methylation affects meiotic recombination in cis. As DNA methylation is subjected to significant variation even within a single species, our results implicate that it could influence evolution of plant genomes through the control of meiotic recombination. 2 samples: Col, epiRIL12, with 3 replicates each
Project description:Diatom cell walls, made of nanostructured silica, are of interest in diverse areas ranging from cellular structure, to hierarchical organization in biomineralization, to nanotechnology. Thus far, only cell surface proteins and proteins tightly associated with silica matrix have been characterized, and essential components of the silica deposition vesicle (SDV) are unknown, including components of the SDV membrane, cytoskeletal-interacting proteins, and proteins involved in trafficking associated with the SDV. Thus, an understanding of most of the molecular components and the dynamics of cellular processes involved in cell wall synthesis is lacking. In this work we report the first whole-cell response analysis using whole genome microarrays to identify genes potentially involved in diverse aspects of diatom cell division or cell wall synthesis. Thalassiosira pseudonana transcript profiles from precise time points, known to be associated with specific cell wall formation processes in cell-cycle synchronized cultures, suggests that this gene set includes extracellular proteins, silica matrix proteins, and proteins involved in signal transduction, vesicle trafficking, and transport. Protein localization experiments further confirm the first discovery of proteins associated with the SDV membrane. We propose that these proteins provide the interface between extra-SDV organization by the cytoskeleton and intra-SDV organization of silica polymerization determinants, which lead to the higher order organization of diatom silica structure. Analyzed mRNA from 0, 2, 4, 7, 8 and 9 hr of synchronized cell cycle using the Affymetrix GeneChip whole genome tiling array. Initial analysis of gene level expression was performed using Affymetrix Expression Console Software, version 1.1. No biological replicates were performed. 0 hr is used as reference point.
Project description:Exposure to inflammatory cytokines driven by bystander cytokines can have profound effects on the function of memory CD8 T cells. Here we transferred a 1-5X10^4 of P14 TCR-tg T cells (specific for gp33-41 of LCMV) on day -1 followed by infection with 2X10^5 PFU of LCMV Armstrong ip to generate memory P14 populations. Mice were rested for >50 days before further challenge. Mice containing memory P14 populations were either mock-infected with saline, infected with 2X10^6 Pichinde Virus ip (no cross-reactivity wtih LCMV gp33-41) or infected with 2X10^6 Pichinde Virus ip together with daily injections of 200 micrograms of anti-CD122 antibody (clone TM-b1). On day 4 following indicated treatments P14s were flow sorted and RNA was extracted from 1X10^6 cells using an RNeasy kit (Qiagen). Each group had 3 biological replicates. Transcriptomes were compared by DAVID analysis (p<0.01, Fold-Change > 1.5) 3 biological replicates per group. Groups included P14 from mock-infected mice, P14 from Pichinde virus infected mice and P14 from Pichinde virus and anti-cd122 treated mice.
Project description:Inflammatory cytokines promote the accumulation of activated CD8 T cells. Here, we transfer 600 OT-I CD8 T cells iv into naïve C57BL/6 hosts. One day later, 500,000 LPS-matured and OVA257 peptide-coated DC were injected iv into OT-I CD8 T cell seeded hosts with (DC+CpG) or without (DC). Other seeded mice were infected with 2x10^4 virulent Listeria monocytogenes (vLM-OVA) iv. OT-I CD8 T cells were harvested from the spleen, flow sort purified, then RNA was extracted using RNeasy (Qiagen) kit. Naive OT-I CD8 T cells (Naive) were purified from the spleens of OT-I transgenic mice. Each group had three independent biological replicates.Transcriptomes were compared using DAVID analysis (with genes scoring FDR<0.01) and GSEA analysis. 3 biological replicates per group. Groups included Naïve OT-I CD8 T cells, DC+CpG OT-I CD8 T cells, DC OT-I CD8 T cells, and vLM-OVA OT-I CD8 T cells. Most comparisons used Naïve OT-I CD8 T cells as a baseline comparison
Project description:We studied the variations of mRNA amounts after Flag-EVI1 or Flag expression in HeLa cells. Despites EVI1 discovery in 1988, its recognized role as a dominant oncogene in myeloid leukemia and more recently in epithelial cancers, only a few target genes were known and it was not clear why EVI1 was involved in cancer progression. Here we obtained the genomic binding occupancy and expression data for EVI1 in human cells. We identified numerous EVI1 target cancer genes and genes controlling cell migration and adhesion. Moreover, we characterized a transcriptional cooperation between AP1 and EVI1 that regulated proliferation and adhesion through a feed-forward loop. Furthermore, this study provides human genome-wide mapping and downstream analyses for EVI1 that will be useful for the research community. 8 samples were collected. Each condition was done in 4 replicates, collected 24 hours after transfection (for mild expression of EVI1). Transfections with Flag-expressing vector were used as controls.
Project description:Mecp2 loss-of-function has been associated with altered gene expression in many tissues. We characterized gene expression changes within the hippocampi of 3 different Mecp2 loss-of-function mouse models. These studies were used to identify transcriptional differences between these mutants when the mice are largely asymptomatic (4 weeks of age) or have developed overt phenotypes (9 weeks). Hippocampal expression data from WT (Mecp2+/y), KO (Mecp2-/y), R270X (Mecp2-/y,R270XTg), and G273X (Mecp2-/y,G273XTg) mice at 4 and 9 weeks At total of 32 microarrays were performed: 4 animals of each genotype at both 4 weeks and 9 weeks of age.
Project description:We studied the variations of mRNA amounts after Evi1 knockdown or Flag-Evi1 overexpression in SKOV-3 cells. Despites Evi1 discovery in 1988, its recognized role as a dominant oncogene in myeloid leukemia and more recently in epithelial cancers, only a few target genes were known and it was not clear why Evi1 was involved in cancer progression. Here we obtained the genomic binding occupancy and expression data for Evi1 in human ovarian carcinoma cells. We identified numerous Evi1 target cancer genes and genes controlling cell migration and adhesion. Moreover, we characterized a transcriptional cooperation between AP1 and Evi1 that regulated proliferation and adhesion through a feed-forward loop. Furthermore, this study provides human genome-wide mapping and downstream analyses for Evi1 that will be useful for the research community. 16 samples were collected. Each condition was done in 4 replicates, collected 65 hours after transfection. Transfections with control siRNA or Flag-expressing vector were used as controls.