Project description:To understand signal transduction mechanism by MeJA in rice, we have analyzed transcription profile with 60K Rice Whole Genome Microarray after MeJA treatment. Gene transcripts were extracted from ten individual rice plants treated with 100 uM MeJA for 6 hrs. RNA samples from these plants were used to generate cyanine-3 (Cy3) and Cy5-labeled complementary DNA (cDNA) probes, which were then hybridized to the microarray. Each data set was obtained from three biological repeats independently. Preparation of fluorescence labeled probes and microarray hybridization was performed as procedures provided by Genisphere 3DNA Array Detection Array 50 kit (v. 2, Genisphere, Hatfield, PA). The microarray was scanned with Genepix 4000B (Axon Instruments, Union City, CA) and the quality of the chip data was analyzed with statistical R language and sma package in Bioconductor project (http://www.bioconductor.org/) implemented on Linux platform. Noncorrelation of signal and background intensities were confirmed by plotting base 2 log background intensity in x axis and base 2 log intensity subtracted with background intensity in y axis. Prior to normalization, normal distribution of Cy3 and Cy5 intensities were tested by qqplot function in R statistical language. The spatial effects on the chip during the hybridization process were checked with spatial func in sma package. The variance difference between Cy3 and Cy5 intensities within microarray was tested by the Student's t test under the assumptions firstly uniform and then nonuniform variances. The ANOVA difference of signal intensities between microarrays was performed by one-way ANOVA. Block-by-block Lowess normalization (Yang et al., 2002) and multivariate statistics such as clustering, principal component analysis, multidimensional scaling, etc. were analyzed with Acuity 3.1 (Axon Instruments). Spots with flag of 0 and a diameter greater than 51 pixel size were used for the analysis. Cy3 significant spots were determined when its log ratio is less than –0.67 [2**(–0.67) = 1.6-fold decrease] and its background subtracted intensity is higher than 500. On the contrary, Cy5 significant spots was determined when its log ratio is greater than 0.67 [2**0.67 = 1.6-fold increase] and its intensity is higher than 500. A preliminary microarray experiment using nontreated wild-type RNA labeled Cy3 and Cy5, respectively, gave less than 0.5% false positive signals in the analysis. To assess the reproducibility of the microarray analysis, we repeated the experiment three times with independently prepared total RNA

Project description:Samples and RNA preparation: The series is composed of 4 hybridizations for analysis of differentially expressed genes in the liver of ciprofibrate dosed vs. control rats. Rats (200-250 g) were given (by gastric intubation) tap water (control group, n=5) or ciprofibrate (50 mg/kg body weight, once daily for 60 days, n=4). Liver total RNA extraction was performed first by ultracentrifugation on a cesium chloride cushion and then using TRIZOL Reagent (GIBCO BRL Life Technologies, New York, NY). Labeling and hybridization: One microgram of total RNA from the control pool (n=5), and from each ciprofibrate dosed rat was reverse transcribed and labeled with Cy3- and Cy5-attached dendrimer, respectively, using 3DNA Array Detection Submicro kit as described in the manufacturer's protocols (Genisphere, Montvale, NJ). The labeling reactions were also spiked with exogenous control RNAs (Stratagene) at expected Cy5/Cy3 ratios of 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.5, 0.33, 0.25 and 0.125 for control spike 1, 2, 3, 4, 5, 6, 8, 9, 10 and 7, respectively. The Cy3 and Cy5 labeled samples (combined volume 5 microliter) were mixed with 30 microliter of the hybridization solution containing 0.25 M NaPO4, 1 mM EDTA, 4.5% SDS, 1 x SSC, 2 x Denhardt's solution, 0.25 microliter antifade reagent (Genisphere) and 0.2 microgram mouse COT-1 DNA (GIBCO BRL Life Technologies), added onto the array and covered with 22 x 50mm cover slip. The array was assembled into humidified hybridization chamber (Corning) and hybridized at 65oC for 18 h by submerging in a water bath. Post-hybridization washes were done once in 2 x SSC, 0.2% SDS at 55oC for 15 min, then in 2 x SSC at room temperature for 15 min, and finally with 0.2 x SSC at room temperature for 15 min. Scanning, image analysis and data processing: Arrays were scanned at 10 micrometer resolution with a confocal laser scanner constructed in-house in collaboration with NEMKO (Trondheim, Norway) according to a prototype developed at NHGRI (http://www.nhgri.gov/DIR/LCG/15K(HTML/). Microarray image analysis was done with MicroArray Suite software version 2.1 with globally normalization (Scanalytics, Inc., Fairfax VA). First, spots undetected (target intensity=1) in at least one array were excluded. Then, spots with signal intensity (averages of the 4 arrays) less than 300 in both channels were removed. The fluorescence intensity ratios (Cy5/Cy3) for genes measured from probes spotted in duplicate were averaged for each slide. Then, mean ratios of the 4 hybridizations were calculated for each gene, and differentially regulated genes were determined using 1.4 fold change cutoff values (1.4 for up-regulated or 0.7 for down-regulated genes). Keywords: other

Project description:Although immune mechanisms have been described for Peyer’s patch function, in discriminating food nutrients and commensal microflora from pathogenic challenge, an understanding of gene expression patterns associated with normal intestinal homeostasis is lacking. The effects of commensal bacterial colonization on global gene expression in the small intestine of germ-free mice have been described (1, 2). However, no studies have compared expression patterns of various healthy lymphoid tissues in conventionally-raised pigs or other species. The objective of this study was to investigate the pattern of normal gene expression in jejunal Peyer’s patches (JPP) of healthy pigs. We hypothesized that gene expression of intact jejunal Peyer's patch is characterized by genes associated with absorption and secretory functions as well as genes associated with GALT-specific immune functions. Eight hybridizations were performed, with dye swaps of JPP mRNA from four juvenile pigs. Each hybridization compared JPP from an individual pig to the jejunal mesenteric lymph node reference sample, which was pooled from all juvenile pigs in the study. However, two of the hybridizations resulted in poor quality data, and were excluded from further analysis. Normalization, hierarchical clustering, data visualization, and statistical analysis were performed by GeneSpring version 6.2 (Silicon Genetics, Redwood, CA). GeneSpring standardized the intensities for each spot by subtracting the local background, and then normalized globally by locally weighted linear regression (Lowess). A Lowess curve was fit to the log-intensity versus log-ratio plot. 20.0% of the data was used to calculate the Lowess fit at each point. This curve was used to adjust the control value for each measurement. If the control channel was lower than 10 then 10 was used instead. Spots with a flag value of “0” were excluded. The intensity of negative control DNA-containing spots was used to additionally exclude low intensity data. Negative controls include the gene for Arabidopsis thaliana homeodomain-like protein (AY054571); 200 ng/microl Poly(dA) (Amersham, Piscataway, NJ); a 461 bp fragment of the kanamycin-resistant gene, amplified from the pET24b+ plasmid (Novagen, Madison, WI); PRRS virus strain VR-2332 (PRU87392) ORFs 2, 3, 4, 5, 6 and 7; pCMVSport 6 plasmid (Invitrogen, Carlsbad, CA); and pGEM-T plasmid (Promega, Madison WI). The mean intensity of the negative controls for both Cy3 and Cy5 was calculated for each slide, and spots with a mean intensity less than the mean intensity + 2SD were excluded from further analysis. After normalization, GeneSpring averaged replicate spots for each clone across hybridizations. GeneSpring used the Cross Gene Error Model, which was based on replicate values. A Student’s t-test with the Benjamini and Hochberg false discovery rate multiple testing correction (MTC) verified the difference between the natural log of the normalized gene expression ratio (JPP:j-MLN) and a ratio of 1.0. p-values less than 0.05 were considered significant. Series_references: 1.Fukushima K, Ogawa H, Takahashi K, Naito H, Funayama Y, Kitayama T, Yonezawa H, and Sasaki I. Non-pathogenic bacteria modulate colonic epithelial gene expression in germ-free mice. Scand J Gastroenterol 38: 626-634, 2003. 2. Hooper LV, Wong MH, Thelin A, Hansson L, Falk PG, and Gordon JI. Molecular analysis of commensal host-microbial relationships in the intestine. Science 291: 881-884, 2001. Keywords: other

Project description:Samples and RNA preparation: The series is composed of 4 hybridizations for analysis of differentially expressed genes in the liver of ciprofibrate dosed vs. control rats. Rats (200-250 g) were given (by gastric intubation) tap water (control group, n=5) or ciprofibrate (50 mg/kg body weight, once daily for 60 days, n=4). Liver total RNA extraction was performed first by ultracentrifugation on a cesium chloride cushion and then using TRIZOL Reagent (GIBCO BRL Life Technologies, New York, NY). Labeling and hybridization: One microgram of total RNA from the control pool (n=5), and from each ciprofibrate dosed rat was reverse transcribed and labeled with Cy3- and Cy5-attached dendrimer, respectively, using 3DNA Array Detection Submicro kit as described in the manufacturer's protocols (Genisphere, Montvale, NJ). The labeling reactions were also spiked with exogenous control RNAs (Stratagene) at expected Cy5/Cy3 ratios of 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.5, 0.33, 0.25 and 0.125 for control spike 1, 2, 3, 4, 5, 6, 8, 9, 10 and 7, respectively. The Cy3 and Cy5 labeled samples (combined volume 5 microliter) were mixed with 30 microliter of the hybridization solution containing 0.25 M NaPO4, 1 mM EDTA, 4.5% SDS, 1 x SSC, 2 x Denhardt's solution, 0.25 microliter antifade reagent (Genisphere) and 0.2 microgram mouse COT-1 DNA (GIBCO BRL Life Technologies), added onto the array and covered with 22 x 50mm cover slip. The array was assembled into humidified hybridization chamber (Corning) and hybridized at 65oC for 18 h by submerging in a water bath. Post-hybridization washes were done once in 2 x SSC, 0.2% SDS at 55oC for 15 min, then in 2 x SSC at room temperature for 15 min, and finally with 0.2 x SSC at room temperature for 15 min. Scanning, image analysis and data processing: Arrays were scanned at 10 micrometer resolution with a confocal laser scanner constructed in-house in collaboration with NEMKO (Trondheim, Norway) according to a prototype developed at NHGRI (http://www.nhgri.gov/DIR/LCG/15K(HTML/). Microarray image analysis was done with MicroArray Suite software version 2.1 with globally normalization (Scanalytics, Inc., Fairfax VA). First, spots undetected (target intensity=1) in at least one array were excluded. Then, spots with signal intensity (averages of the 4 arrays) less than 300 in both channels were removed. The fluorescence intensity ratios (Cy5/Cy3) for genes measured from probes spotted in duplicate were averaged for each slide. Then, mean ratios of the 4 hybridizations were calculated for each gene, and differentially regulated genes were determined using 1.4 fold change cutoff values (1.4 for up-regulated or 0.7 for down-regulated genes).

Project description:Although immune mechanisms have been described for Peyer’s patch function, in discriminating food nutrients and commensal microflora from pathogenic challenge, an understanding of gene expression patterns associated with normal intestinal homeostasis is lacking. The effects of commensal bacterial colonization on global gene expression in the small intestine of germ-free mice have been described (1, 2). However, no studies have compared expression patterns of various healthy lymphoid tissues in conventionally-raised pigs or other species. The objective of this study was to investigate the pattern of normal gene expression in jejunal Peyer’s patches (JPP) of healthy pigs. We hypothesized that gene expression of intact jejunal Peyer's patch is characterized by genes associated with absorption and secretory functions as well as genes associated with GALT-specific immune functions. Eight hybridizations were performed, with dye swaps of JPP mRNA from four juvenile pigs. Each hybridization compared JPP from an individual pig to the jejunal mesenteric lymph node reference sample, which was pooled from all juvenile pigs in the study. However, two of the hybridizations resulted in poor quality data, and were excluded from further analysis. Normalization, hierarchical clustering, data visualization, and statistical analysis were performed by GeneSpring version 6.2 (Silicon Genetics, Redwood, CA). GeneSpring standardized the intensities for each spot by subtracting the local background, and then normalized globally by locally weighted linear regression (Lowess). A Lowess curve was fit to the log-intensity versus log-ratio plot. 20.0% of the data was used to calculate the Lowess fit at each point. This curve was used to adjust the control value for each measurement. If the control channel was lower than 10 then 10 was used instead. Spots with a flag value of “0” were excluded. The intensity of negative control DNA-containing spots was used to additionally exclude low intensity data. Negative controls include the gene for Arabidopsis thaliana homeodomain-like protein (AY054571); 200 ng/microl Poly(dA) (Amersham, Piscataway, NJ); a 461 bp fragment of the kanamycin-resistant gene, amplified from the pET24b+ plasmid (Novagen, Madison, WI); PRRS virus strain VR-2332 (PRU87392) ORFs 2, 3, 4, 5, 6 and 7; pCMVSport 6 plasmid (Invitrogen, Carlsbad, CA); and pGEM-T plasmid (Promega, Madison WI). The mean intensity of the negative controls for both Cy3 and Cy5 was calculated for each slide, and spots with a mean intensity less than the mean intensity + 2SD were excluded from further analysis. After normalization, GeneSpring averaged replicate spots for each clone across hybridizations. GeneSpring used the Cross Gene Error Model, which was based on replicate values. A Student’s t-test with the Benjamini and Hochberg false discovery rate multiple testing correction (MTC) verified the difference between the natural log of the normalized gene expression ratio (JPP:j-MLN) and a ratio of 1.0. p-values less than 0.05 were considered significant. Series_references: 1.Fukushima K, Ogawa H, Takahashi K, Naito H, Funayama Y, Kitayama T, Yonezawa H, and Sasaki I. Non-pathogenic bacteria modulate colonic epithelial gene expression in germ-free mice. Scand J Gastroenterol 38: 626-634, 2003. 2. Hooper LV, Wong MH, Thelin A, Hansson L, Falk PG, and Gordon JI. Molecular analysis of commensal host-microbial relationships in the intestine. Science 291: 881-884, 2001.

Project description:To identify Six1 target genes, we chose the mK4 cell line that represents later metanephric mesenchyme of the embryonic kidney. The cells were infected with adenovirus vectors (AxCAwt) overexpressing VP16-Six1wt or VP16-Six1W171R and cultured for 24h. Total RNA was extracted using Isogen reagent (Nippon Gene), treated with RNase-free DNase (Roche Diagnostics) and purified with RNeasy Midi Kit (QIAGEN). Poly A+ RNA was selected using Oligotex-dT30 latex beads (TaKaRa). Poly A+ RNA (20 µg) was reverse transcribed using an oligo(dT) primer in the presence of aminoallyl dUTP without the addition of spike-in controls. Then, single-stranded cDNAs were coupled with Cy3 (AxCAwt VP16-Six1wt infected sample) or Cy5 (AxCAwt VP16-Six1W171R infected sample) dyes, and the labeled probes were purified with QIAquick PCR Purification kit (QIAGEN). Hybridization to the microarray was carried out at 65°C for 17h according to the manufacturer's instruction. The arrays were washed, dried and scanned using ScanArray 5000 (GSI Lumonics) at two different PMT voltage settings (high and low) to avoid signal saturation. Cy3 and Cy5 intensities for each spot on the array were determined by QuantArray software (Version 3.0.0.0, GSI Lumonics). The raw data thus obtained was processed and the Cy3 to Cy5 ratios were calculated as follows: 1) subtraction of the fluorescence intensity of negative control spots as background from the intensity of each of the Cy3 and Cy5 spots, 2) normalization of the entire data set using the global normalization method, 3) elimination of spots with high background intensity for either dye, and 4) determination of the Cy3 to Cy5 ratios. To identify Six4 target genes, we chose the mK4 cell line that represents later metanephric mesenchyme of the embryonic kidney. The cells were infected with adenovirus vectors (AxCAwt) overexpressing VP16-Six4wt or VP16-Six4W263R and cultured for 24h. Total RNA was extracted using Isogen reagent (Nippon Gene), treated with RNase-free DNase (Roche Diagnostics) and purified with RNeasy Midi Kit (QIAGEN). Poly A+ RNA was selected using Oligotex-dT30 latex beads (TaKaRa). Poly A+ RNA (20 µg) was reverse transcribed using an oligo(dT) primer in the presence of aminoallyl dUTP without the addition of spike-in controls. Then, single-stranded cDNAs were coupled with Cy3 (AxCAwt VP16-Six4wt infected sample) or Cy5 (AxCAwt VP16-Six4W263R infected sample) dyes, and the labeled probes were purified with QIAquick PCR Purification kit (QIAGEN). Hybridization to the microarray was carried out at 65°C for 17h according to the manufacturer's instruction. The arrays were washed, dried and scanned using ScanArray 5000 (GSI Lumonics) at two different PMT voltage settings (high and low) to avoid signal saturation. Cy3 and Cy5 intensities for each spot on the array were determined by QuantArray software (Version 3.0.0.0, GSI Lumonics). The raw data thus obtained was processed and the Cy3 to Cy5 ratios were calculated as follows: 1) subtraction of the fluorescence intensity of negative control spots as background from the intensity of each of the Cy3 and Cy5 spots, 2) normalization of the entire data set using the global normalization method, 3) elimination of spots with high background intensity for either dye, and 4) determination of the Cy3 to Cy5 ratios. Keywords: other

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Mouse Exons

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Genome-wide analysis of mouse transcripts using exon microarrays and factor graphs.

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