Microarray expression profiling was used to identify genes expressed misexpressed in wild-type Arabidopsis seedlings treated with 5-aza-2 deoxyctidine (5AC) or trichostatin A (TSA), and in decrease in dna methylation1 (ddm1) mutant seedlings.
Changes in global gene expression in response to chemical and genetic perturbation of chromatin structure.
Specimen part
View SamplesIdentifying the genes underlying quantitative trait loci (QTL) for disease has proven difficult, mainly due to the low resolution of the approach and the complex genetics involved. However, recent advances in bioinformatics and the availability of genetic resources now make it possible to narrow the genetic intervals and test candidate genes. In addition to identifying the causative genes, defining the pathways that are affected by these QTL is of major importance as it can give us insight into the disease process and provide evidence to support candidate genes. In this study we mapped three significant and one suggestive QTL on Chromosomes (Chrs) 1, 4, 15, and 17, respectively, for increased albumin excretion (measured as albumin-to-creatinine ratio) in a cross between the MRL/MpJ and SM/J mouse inbred strains. By combining data from several sources and by utilizing gene expression data, we identified Tlr12 as a likely candidate for the Chr 4 QTL. Through the mapping of 33,881 transcripts measured by microarray on kidney RNA from each of the 173 male F2 animals, we identified several downstream pathways associated with these QTL. Among these were the glycan degradation, leukocyte migration, and antigen presenting pathways. We demonstrate that by combining data from multiple sources, we can identify not only genes that are likely to be causal candidates for QTL, but also the pathways through which these genes act to alter phenotypes. This combined approach provides valuable insights into the causes and consequences of renal disease.
Uncovering genes and regulatory pathways related to urinary albumin excretion.
Sex, Age
View SamplesAnalysis of tissues of DBA/2 mice fed a standard breeding diet (SBD) and high fat diet (HFD) revealed tissue specific roles in inflammation and disease, and altered communication between tissues. The tissues surveyed incuded adipose tissues (brown, inguinal, mesenteric, retro-peritoneal, subcutaneious and gonadal), muscle and liver.
High-fat diet leads to tissue-specific changes reflecting risk factors for diseases in DBA/2J mice.
Specimen part, Treatment
View SamplesA QTL analysis between inbred mouse strains MRL/MpJ and SM/J was performed to identify genetic loci influencing high-density lipoprotein (HDL) cholesterol and triglycerides (TG) at eight weeks of age in F2 mice fed a chow diet. In order to narrow down lists of candidate genes, expression levels from liver tissue were used to test for differential expression among parental and F1 strains and to scan for eQTL in F2 animals. We provide evidence for Mppe1 (Chr 18) as an HDL QTL candidate gene and Cyp2d26 (Chr 15) as a TG QTL candidate gene.
Integration of QTL and bioinformatic tools to identify candidate genes for triglycerides in mice.
Sex, Age, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinoma.
Sex, Age, Specimen part
View SamplesAlternative splicing is a key event to human transcriptome and proteome diversity and complexity. Recent evidence suggests that pancreatic cancer might possess particular patterns of splice variation that influence the function of individual genes contributing to tumour progression in this disease. The identification of new pancreatic cancer-associated splice variants would offer opportunities for novel diagnostics and potentially also represent novel therapeutic targets.
A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinoma.
Sex, Age, Specimen part
View SamplesMicrobial functions in the host physiology are a result of co-evolution between microbial communities and their hosts. Here we show that cold exposure leads to marked shift of the microbiota composition, referred to as cold microbiota. Transplantation of the cold microbiota to germ-free mice is sufficient to increase the insulin sensitivity of the host, and enable complete tolerance to cold partly by promoting the white fat browning, leading to increased energy expenditure and fat loss. During prolonged cold however, the body weight loss is attenuated, caused by adaptive mechanisms maximising caloric uptake and increasing intestinal, villi and microvilli lengths. This increased absorptive surface is promoted by the cold microbiota - effect that can be diminished by co-transplanting the most downregulated bacterial strain from the Verrucomicrobia phylum, Akkermansia muciniphila, during the cold microbiota transfer. Our results demonstrate the microbiota as a key factor orchestrating the overall energy homeostasis during increased demand. Overall design: Mice were kept 30 days at room temperature or at 6C, 2 per cage, under SPF conditions, with or without administration of antibiotic coctail in drinking water (whole microbiota depletion). Fasted 5h before sacrifice. Segments of proximal jejunum were isoated, flushed gently with PBS and frozen. Each of 12 samples is a pool of two biological replicates (2 biological replicates of the same condition combined into one sample)
Gut Microbiota Orchestrates Energy Homeostasis during Cold.
Specimen part, Cell line, Subject
View SamplesIn the past three years the role of inflammatory cytokines and chemokines in tumour promotion and progression has been intensively studied. The chemokine receptor CXCR4 and its ligand CXCL12 are commonly expressed in malignant cells from primary tumours, metastases and also in malignant cell lines. To investigate the biological significance of this receptor/ligand pair, we knocked-down CXCR4 expression in ovarian cancer cell line IGROV-1 using shRNA, and established stable cell lines.
A dynamic inflammatory cytokine network in the human ovarian cancer microenvironment.
No sample metadata fields
View SamplesWe present evidence for an autocrine cytokine network in human ovarian cancer that has paracrine actions on the tumour microenvironment. In experiments using bioinformatics analysis of large gene expression array datasets and ovarian cancer biopsies, we found that the inflammatory cytokines TNF- and IL-6, the chemokine receptor CXCR4 and its ligand CXCL12, are co-regulated in malignant cells. We named this co-regulation the TNF network.
A dynamic inflammatory cytokine network in the human ovarian cancer microenvironment.
Specimen part
View SamplesWe used microarrays to globally profile the gene expression changes observed after 24h when transfecting antisense oligonucleotides in HuH77 cells
Managing the sequence-specificity of antisense oligonucleotides in drug discovery.
Treatment
View Samples