Trout_Muscle_diet&selection
Ontology highlight
ABSTRACT:
ORGANISM(S): Oncorhynchus mykiss
SUBMITTER: Françoise Médale
PROVIDER: E-GEOD-16577 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Large White and Meishan pigs were either non-treated or injected with mammalian 1-24 ACTH (Immediate Synachten, Novartis France) at the dose of 250 µg per animal. Pigs were sacrificed either immediately after capture from their home cage (non-treated animals) or 1 hour following ACTH injection. Adrenal glands were immediately collected from pigs and frozen on dry ice and then stored at -80°C until RNA isolation. Keywords: stress response, adrenal, gene expression, pig 47 samples
2010-06-29 | E-GEOD-8377 | biostudies-arrayexpress
Project description:We used fish from two divergent lines of rainbow trout, selected for low or high muscle fat content (respectively L and F lines) and fed two different diets, containing either 10% (LE diet) or 23% (HE diet) lipids. For more details about experimental fish and diets, see Kolditz et al.,Am J Physiol Regul Integr Comp Physiol 294: R1154–R1164, 2008. There are 4 experimental conditions: L-LE, L-HE, F-LE and F-HE. This experiment contain the data derived from the hybridization of the RNA extracted from individual liver of these fish. for each membrane, spots with an oligonucleotide signal lower than three times the background level were excluded from the analysis. After this filtering step, signal processing was performed using the vector oligonucleotide data to correct each spot signal according to the actual amount of DNA present in each spot. After correction, the signal was normalized by dividing each gene expression value by the median value of the array. Keywords: Nutritional genomics, response to divergent selection for muscle fattening, liver metabolism, rainbow trout 32 samples
2008-09-01 | E-GEOD-12031 | biostudies-arrayexpress
Project description:Three different stages of pig antral follicles have been studied in a granulosa-cell transcriptome analysis on nylon microarrays (1152 clones). The data have been generated from 7 RNA follicle pools and several technical replicates were made. Four Large, one Medium and two Small follicles pools were considered. For each follicle pool, 2 radioactive labellings were performed. Each membrane was exposed 16 hours (to avoid saturation of the signal of highly expressed genes) and 28 hours (to get some signal from lowly expressed genes). Each probe was hybridised on GPL3971 scag_scai Sus scrofa 1.2K mono array and on GPL3970 scag_scai Sus scrofa 4.6K triplicate array (except for GFS2172 which was labelled only once and hybridised onto 2 GPL3971 scag_scai Sus scrofa 1.2K mono array membranes), so that 4 spots are available for each gene (and 2 spots for GFS2172), for a given RNA and a given radioactive labelling. Keywords: granulosa-cell transcriptome analysis data consisted in (6 RNA x 2 labellings) + (GFS2172 RNA X 1 labelling)= 13 probes, 26 hybridisations, 52 images.
2010-06-30 | E-GEOD-5299 | biostudies-arrayexpress
Project description:Background - Mammalians gamete production takes place in the testis but when they exit this organ, although spermatozoa have a specialized and distinct morphology, they are immotile and infertile. It is only after their travel in the epididymis that sperm acquire their motility and fertility. Epididymis can be divided in three gross morphological regions, head (caput), body (corpus) and tail (cauda), containing a long and unique convoluted tubule connecting the testis to the vas deferens. Results - In this study, the testis, the efferent ducts (vas efferens, VE), nine distinct successive epididymal segments and the deferent duct (vas deferens, VD) of four adult boars of known fertility were isolated and their mRNA extracted. The gene expression of each of these samples was analyzed using a pig generic 9K nylon microarray (AGENAE program; GEO accession number: GPL3729) spotted with 8931 clones derived from normalized cDNA banks from different pig tissues including testis and epididymis. Differentially expressed transcripts were obtained with moderated t-tests and F-tests and two data clustering algorithms based either on partitioning around medoïds (top down PAM) or hierarchical clustering (bottom up HCL) were combined for class discovery and gene expression analysis. Tissue samples analysis defined seven transcriptomic units: testis, vas efferens and five epididymal transcriptomic units. Meanwhile transcripts formed only four clusters related to the tissues. We have then used a specific statistical method to sort out genes specifically overexpressed (markers) in testis, VE or in each of the five transcriptomic units of the epididymis (including VD). Among these markers some well-known epididymal genes were retrieved while some were new genes or genes not yet reported in these boar tissues. The specific regional expression of some of these genes was further validated by PCR and Q-PCR. We also searched for specific pathways and functions using available gene ontology information. Conclusions - This study fulfilled the gap between those done in rodents and human, and provides tools that will be useful for further studies on the biochemical processes responsible for the formation and maintain of the epididymal regionalization and the development of a fertile spermatozoa. Keywords: tissue type comparaison 96 samples - 12 tissue samples from 4 boars
2010-06-24 | E-GEOD-15614 | biostudies-arrayexpress
Project description:These vector oligonucleotide hybridizations were performed to determine the quality of the spotting process. EST with low signal values of the vector array were excluded from the analysis, since they probably were mis-amplified or mis-spotted Keywords: spotting control cDNA arrays (GPL3978) were first hybridized with a vector oligonucleotide labeled (T7 probe) with 33P-ATP. After washing, the arrays were exposed 6 hours to radioisotopic-sensitive imaging plates (BAS-2025, Fujifilm, Raytest France S.A.R.L., Courbevoie, France). The imaging plates were scanned thereafter with a phosphor imaging system at a 25 µm resolution (BAS-5000, Fujifilm, Raytest France S.A.R.L., Courbevoie, France). The images were quantified using semi-automated software, BZScan (Lopez F, Rougemont J, Loriod B, Bourgeois A, Loi L, Bertucci F, Hingamp P, Houlgatte R, and Granjeaud S. Feature extraction and signal processing for nylon DNA microarrays. BMC Genomics 5: 38, 2004). Fixed circle segmentation, i.e. a grid process with a fixed spot diameter was applied. The hybridization images were quantified by the extraction of the intensity for each spot. A new version of BZsan (AGscan solfware) is available at : http://mulcyber.toulouse.inra.fr/projects/agscan/ The experimental data were managed using the free BASE software (Saal LH, Troein C, Vallon-Christersson J, Gruvberger S, Borg A, and Peterson C. BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data. Genome Biol 3: SOFTWARE0003, 2002.) modified by Sigenae team to accept radioactive experiments. After stripping, the arrays were hybridized with a complex target. The data correspond to the hybridization of the first membrane DEV-1 and the last one DEV-20. The arrays contained PCR products from 2848 pig cDNA clones (GPL3978), spotted in duplicate on two separate fields of the same membrane (last number 1 of the local ID corresponds to the left field and 2 corresponds to right field). Finally, data consisted in four data files and were used to delete clones with a bad quality of spotting.
2008-04-30 | E-GEOD-5797 | biostudies-arrayexpress
Project description:The aim of this study is the identification of genes and gene networks involved in pig ovarian follicular development. cDNA nylon micro-arrays (2849 sequenced clones) were designed from different libraries : four subtractive suppressive hybridization libraries (generated from small versus large and small versus medium follicles) and a pig multi-tissue cDNA library. Granulosa cells were isolated from healthy follicles (small, medium or large), 24 h or 96 h after the end of a progestagen treatment. The RNA isolated from these cells was used to hybridize the micro-arrays and hybridisations were performed in duplicate. The images were quantified using Bzscan software and the data were managed with BASE software. Statistical analysis was performed using R software. Keywords: cell type comparison Granulosa cells were isolated from healthy follicles (small, medium or large). The RNA isolated from these cells was used to hybridize nylon micro-arrays. The arrays contained PCR products from 2848 pig cDNA clones (GPL3978), spotted in duplicate on two separate fields of the same membrane (last number 1 of the local ID corresponds to the left field and 2 corresponds to right field). The data have been generated from 14 RNA follicle pools (five Large, five Medium and four Small follicles pools). For each follicle pool, 2 radioactive labellings were performed (before last number of the local ID corresponds to the duplicate number). Each membrane was exposed 6, 12 or 24 hours (depending on the saturation signal) to radioisotopic-sensitive imaging plates (BAS-2025, Fujifilm, Raytest France S.A.R.L., Courbevoie, France). The imaging plates were scanned thereafter with a phosphor imaging system at a 25 µm resolution (BAS-5000, Fujifilm, Raytest France S.A.R.L., Courbevoie, France). The images were quantified using semi-automated software, BZScan (Lopez F, Rougemont J, Loriod B, Bourgeois A, Loi L, Bertucci F, Hingamp P, Houlgatte R, and Granjeaud S. Feature extraction and signal processing for nylon DNA microarrays. BMC Genomics 5: 38, 2004). Fixed circle segmentation, i.e. a grid process with a fixed spot diameter was applied. The hybridization images were quantified by the extraction of the intensity for each spot. A new version of BZsan (AGscan solfware) is available at : http://mulcyber.toulouse.inra.fr/projects/agscan/ The experimental data were managed using the free BASE software (Saal LH, Troein C, Vallon-Christersson J, Gruvberger S, Borg A, and Peterson C. BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data. Genome Biol 3: SOFTWARE0003, 2002.) modified by Sigenae team to accept radioactive experiments. Finally, data consisted in (14 RNA x 2 labellings x 2 fields) 14 probes, 28 hybridisations, 42 images (14 images were filtred out for background too hight).
2008-04-30 | E-GEOD-5798 | biostudies-arrayexpress
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2008-11-30 | E-GEOD-12084 | biostudies-arrayexpress
Project description:The present study aimed at studying the rainbow trout egg transcriptome using 9152-cDNA microarrays after natural or controlled ovulation. The analysis of egg transcriptome after natural or controlled ovulation led to the identification of 26 genes. We observed that both hormonal induction and photoperiod control of ovulation induced significant changes in the egg mRNA abundance of specific genes. We demonstrate that hormonal induction of ovulation has an impact on the egg mRNA abundance of specific genes even though the resulting effects on the developmental potential of the egg is so far unknown. In addition, we also identified 1 gene exhibiting a differential mRNA abundance in eggs of varying developmental potential. Analysis of egg transcriptome after natural ovulation (4 samples), photoperiod-controlled ovulation (14 samples), and hormonally-induced ovulation (11 samples).
2010-07-01 | E-GEOD-5928 | biostudies-arrayexpress
Project description:Data presented here show that gene expression in the mouse brain changes during systemic infection relative to a steady state (uninfected control) mouse during systemic Listeria monocytogenes infection. Microarray analysis of gene expression in the brain following i.v. inoculation of 1-2 LD 50 L. monocytogenes showed changes in brain transcriptional activity occurred prior to brain infection. Keywords: infectious diseases model, gene expression profiling for cell signaling/trafficking Mice were injected with 1-2 LD50 wild type L. monocytogenes or with sterile PBS (control) then seven animals from each group were harvested daily for 4 days. From each day, groups of five infected animals were selected for microarray analysis based upon similarities in CFU bacteria in the spleen (day 1), blood (day 2), and brain (days 3 and 4) and were randomly paired with brains harvested from control animals. RNA was extracted from the brain halves using the Atlas⢠Pure Total RNA Labeling System and hybridized to plastic slides with 32P-labeled probes using Atlas⢠Plastic Mouse 5K Microarray (Clontech, Mountain View, CA) according to the manufacturerâs directions. Hybridization to the arrays and phosphorimaging analysis were performed in the OUHSC microarray facility. Phosphorimaging analysis was performed using a Storm⢠optical scanner (Molecular Dynamics Inc., Sunnyvale, CA), and initial background corrections were performed using the Array Vision Software (Imaging Research Inc., St. Catharines, Ontario). Data analyses were performed using Genespring GX v. 7.3 (Agilent Technologies, Palo Alto, CA). Raw signal data were normalized to the median of the entire chip for each sample, and all samples were further normalized per gene to the medians of data from the uninfected samples. Data for each day were analyzed by Mann Whitney Wilcoxen nonparametric test with a p-value cutoff of 0.05. Lists of genes were generated to reflect 2, 3, or 5-fold upregulation and downregulation based on significance. Expression data were incorporated into Ingenuity software (Ingenuity Systems, Inc., Redwood City, CA) to enable further understanding of complex relationships as well as provide further information about key canonical pathways in which the genes of interest functions.
2010-06-24 | E-GEOD-10416 | biostudies-arrayexpress
Project description:Aliivibrio salmonicida causes âcold-water vibriosisâ (or âHitra diseaseâ) in fish, including marine-reared Atlantic salmon. During development of the disease the bacterium will encounter macrophages with antibacterial activities such as production of damaging reactive oxygen species (ROS). To defend itself the bacterium will presumably start producing detoxifying enzymes, reducing agents, and proteins involved in DNA and protein repair systems. Even though responses to oxidative stress are well studied for a few model bacteria, little work has been done in general to explain how important groups of pathogens, like members of the Vibrionaceae family, can survive at high levels of ROS. We have used bioinformatic tools and an âomics approach to study how A. salmonicida responds to hydrogen peroxide (H2O2). First, we used the recently published genome sequence to predict potential binding sites for OxyR (H2O2 response regulator). The computer-based search identified OxyR sites associated with 20 single genes and 8 operons, and these predictions were compared to experimental data from Northern blot analysis, microarray analysis and 2D gel electrophoresis. In general, OxyR binding site predictions and experimental results are in agreement. Up- and down-regulated genes are distributed among all functional gene categories, but a striking number of â¥2 fold up-regulated genes encode proteins involved in detoxification or DNA protection and repair, are part of reduction systems, or are involved in carbon metabolism and regeneration of NADH/NADPH. Our predictions and âomics data corroborates well with findings from other model bacteria, but also suggest species-specific gene regulation. Two-condition experiment, cells grown in LB medium (control samples) vs. cells grown under oxidative stress (H2O2) (stimulated samples). Samples collected from three different timepoints (15, 30 and 60 min). Technical replicates for each timepoint: 3 control, 3 stimulated, independently grown and harvested. One replicate per array.
2010-05-06 | E-GEOD-20082 | biostudies-arrayexpress