Project description:Liver and BAT expression differences between the fat F-line, and congenic Fob3b-line. Normalised data appended as follows: TABLE 1: LIVER - 1st set (7.5K) of the 2 slide NIA NIH 15K set -source1 = F-line liver male - 2 pools each made from 5 different individuals -source2 = Fob3b-line (aka Fchr15D-line) liver male - 2 pools each made from 5 different individuals -values are normalised using mixed model across 6 slides: 1 F-line vs Fline 2 Fob3b-line vs Fob3b-line 3 F-line pool1 vs Fob3b-line pool1 4 F-line pool1 vs Fob3b-line pool1 -dye swap 5 F-line pool2 vs Fob3b-line pool2 6 F-line pool2 vs Fob3b-line pool2 -dye swap TABLE 2: LIVER - 2nd set (7.5K) of the 2 slide NIA NIH 15K set -source1 = F-line liver male - 2 pools each made from 5 differnt individuals -source2 = Fob3b-line (aka Fchr15D-line) liver male - 2 pools each made from 5 differnt individuals -values are normalised using mixed model across 6 slides: 1 F-line Vs F-line 2 Fob3b-line vs Fob3b-line 3 F-line pool1 vs Fob3b-line pool2 4 F-line pool1 vs Fob3b-line pool2 dye swap 5 F-line pool2 vs Fob3b-line pool1 6 F-line pool2 vs Fob3b-line pool1 dye swap TABLE 3: Brown Adipose Tissue (BAT) 1st (7.5K) array set of 15K NIA NIH set -source1 = F-line male BAT from 2 pools each made from 5 different individuals -source2 = Fob3b-line (aka Fchr15D-line) male BAT from 2 pools each made from 5 different individuals -values are normalised using mixed model across 4 slides: 1 F-line pool1 vs Fob3b-line pool1 2 F-line pool1 vs Fob3b-line pool1 dye swap 3 F-line pool2 vs Fob3b-line pool2 4 F-line pool2 vs Fob3b-line pool2 dye swap TABLE 4: Brown Adipose Tissue (BAT) 2nd (7.5K) array of the 15K NIA NIH set -source1 = F-line male BAT (2 pools each from 5 individual mice) -source2 = Fob3b-line (aka Fchr15D-line) male BAT (2 pools each from 5 individual mice) -values are normalised using mixed model across 4 slides: 1 F-line pool1 vs Fob3b-line pool1 2 F-line pool1 vs Fob3b-line pool1 dye swap 3 F-line pool2 vs Fob3b-line pool2 4 F-line pool2 vs Fob3b-line pool2 dye swap Keywords = Obesity Keywords = Fob3b Keywords = QTL Keywords = congenic
Project description:We explored the hypothesis that maternal cocaine exposure could alter the fetal epigenetic machinery sufficiently to cause lasting neurochemical and functional changes in the offspring. These data were used as preliminary results for paper:; Maternal cocaine administration in mice alters DNA methylation and gene expression in hippocampal neurons of neonatal and prepubertal offspring. Svetlana I. Novikova, Fang He, Jie Bai, Nicholas J. Cutrufello, Ashiwel S. Undieh and Michael S. Lidow Experiment Overall Design: Pregnant CD1 mice were administered either saline or 20 mg/kg cocaine twice daily on gestational days 8-19. Male pups from each of ten litters of the cocaine and control groups were analyzed at 3 (P3) day postnatum. Pyramidal layer tissue from the right hemisphere of one of these brains (On every section, the pyramidal layer, encompassing the C1, C2 and C3 hippocampal regions, was carefully cut out)was used for analyzing gene expression. Laser microdissection was performed on a Leica ASLMD laser capture microdissection system (Leica Microsystems, Wetzlar, Germany).
Project description:Chickens divergently selected for either high abdominal fat content (fat genotype) or low abdominal fat content (lean genotype) at SRA-INRA, France were used to profile hepatic gene expression during juvenile development (1 to 11 weeks of age) and to identify differentially expressed genes associated with genotype and age. The fat line (FL) and lean line (LL) chickens are different in various phenotypic and metabolic measurements, including abdominal fatness, plasma glycemia and T3. The FL and LL chickens represent unique models for characterizing biomedical and agricultural traits. The Del-Mar 14K Chicken Integrated Systems microarrays were used for a transcriptional scan in liver during juvenile development using a balanced block hybridization design. Log2-transformed fluorescence intensities were analyzed with a two-stage mixed model. A total of 905 differentially expressed "functional" genes were identified (FDR<0.10). The greatest number of differentially expressed genes (400) was detected at 7 weeks of age. The differentially expressed genes include metabolic enzymes, acute phase proteins, growth factors, immune factors and transcription factors involved in various pathways. Several of the functional genes are also identified as positional candidate genes within QTLs in an F2 population established from an intercross between the FL and LL lines. A balance block design was used for microarray hybridizations, where half of the birds of each genotype and age were labeled with Alexa Flour 647 (red) and the other half with Alexa Flour 555 (green). Four biological replicates were used for each genotype (FL or LL) at six different ages (1, 3, 5, 7, 9 and 11 wk).
Project description:We have employed the Zebrafish gene expression microarray (MZH_Zebrafish_16k_v1.0) as a discovery platform to analyze the trancriptome of 108hpf (hours post fertilization) embryos exposed from the 96hpf to 108hpf to 100µM of diethylmaleate (DEM). Four two-color microarray studies for measuring expression levels of zebrafish embryos treated with 100µM of diethylmaleate (DEM) were performed. 8 samples were analyzed in total. Four samples were treated with 0.1% DMSO as a control; four samples were treated with 100 µM of DEM and 0.1% DMSO.
Project description:Expression profiles in aortas isolated from mouse strains C3H.2/HeJ and C57.2Bl/6. Mice were were either on a high fat diet or normal diet for 0, 4, 10, 24, or 40 weeks.
Project description:ChIP-chip analyses of ClrC components across the S. pombe genome. Keywords: ChIP-chip Chromatin immunoprecipitated DNA recovered with antibody against FLAG-tagged protein from wild-type asynchronous growing fission yeast cells and whole cell extracts DNA were amplified by random priming and respectively labeled with Cy5 and Cy3. Labeled DNA samples were mixed and hybridized onto a 44k pombe Agilent oligo array. Data were processed using Agilent scanner and Feature Extraction software
Project description:This SuperSeries is composed of the following subset Series: GSE15337: Gene expression profiling soybean stem tissue early response to Sclerotinia sclerotiorum 1 GSE15338: Gene expression profiling soybean stem tissue early response to Sclerotinia sclerotiorum 3 GSE15339: Gene expression profiling soybean stem tissue early response to Sclerotinia sclerotiorum 4 GSE15340: Gene expression profiling soybean stem tissue early response to Sclerotinia sclerotiorum 2 Refer to individual Series