Transcription profiling of mouse wildtype and alb/cre liver-conditional Pdss2 knockouts
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ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Eric Rappaport
PROVIDER: E-GEOD-10904 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Utilizing M. musculus as a model of mitochondrial dysfunction provides insight into cellular adaptations which occur as a consequence of genetic alterations causative of human disease. We characterized genome-wide expression profiles of liver-conditional knockout mice for Pdss2 compared with loxP controls. Our goal was to detect concordant changes among clusters of genes that comprise defined metabolic pathways utilizing gene set enrichment analysis. Keywords: Wildtype vs mutant comparison as a method for studying contributors to disease processes.
2008-04-30 | GSE10904 | GEO
Project description:Microarray expression profiling has become a valuable tool in the evaluation of the genetic consequences of metabolic disease. Although 3â??-biased gene expression microarray platforms were the first generation to have widespread availability, newer platforms are gradually emerging that have more up-to-date content and/or higher cost efficiency. Deciphering the relative strengths and weaknesses of these various platforms for metabolic pathway level analyses can be daunting. We sought to determine the practical strengths and weaknesses of four leading commercially-available expression array platforms relative to biologic investigations, as well as assess the feasibility of cross-platform data integration for purposes of biochemical pathway analyses. METHODS: Liver RNA from B6.Alb/cre,Pdss2loxP/loxP mice having primary Coenzyme Q deficiency was extracted either at baseline or following treatment with an antioxidant/antihyperlipidemic agent, probucol. Target RNA samples were prepared and hybridized to Affymetrix 430 2.0, Affymetrix Gene 1.0 ST, Affymetrix Exon 1.0 ST, and Illumina Mouse WG-6 expression arrays. Probes on all platforms were re-mapped to coding sequences in the current version of the mouse genome. Data processing and statistical analysis were performed by R/Bioconductor functions, and pathway analyses were carried out by KEGG Atlas and GSEA. RESULTS: Expression measurements were generally consistent across platforms. However, intensive probe-level comparison suggested that differences in probe locations were a major source of inter-platform variance. In addition, genes expressed at low or intermediate levels had lower inter-platform reproducibility than highly expressed genes. All platforms showed similar patterns of differential expression between sample groups, with â??steroid biosynthesisâ?? consistently identified as the most down-regulated metabolic pathway by probucol treatment. CONCLUSIONS: This work offers a timely guide for metabolic disease investigators to enable informed end-user decisions regarding choice of expression microarray platform best-suited to specific research project goals. Successful cross-platform integration of biochemical pathway expression data is also demonstrated, especially for well-annotated and highly-expressed genes. However, integration of gene-level expression data is limited by individual platform probe design and the expression level of target genes. Cross-platform analyses of biochemical pathway data will require additional data processing and novel computational bioinformatics tools to address unique statistical challenges. 4 samples are analyzed on each of 4 different Mouse Microarray Expression platforms (Affymetrix Mo430 2.0, Affymetrix Gene, Affymetrix Exon 1.0 ST, and Illumina Whole Genome 6).
2010-06-24 | E-GEOD-18677 | biostudies-arrayexpress
Project description:LEC rats are considered as interesting model for studying hepatitis and development of hepatocarcinogenesis related to copper accumulation and oxidative stress. LEC rats have a mutation in a gene related to liver copper excretion, the Atp7b gene. As a consequence, this rat strain shows an abnormal copper accumulation in the liver. This is believed to be the origin of the acute hepatitis and the subsequent hepatocellular carcinoma that spontaneously develop in these rats. Here, we present the gene expression profiles of LEC rats at different disease stages. LEC rats were classified as normal 6 weeks old (6w), normal 9 weeks old (9w), slight jaundice and jaundice according to age and disease state. D-penicillamine, a copper chelator agent, blocks both hepatitis and tumor development. D-penicillamine-trated LEC rats were used as control rats for gene expression comparison as they showed neither hepatitis development nor tumor marker expression. Gene expression differences in protein metabolism and tumor marker proteins add to the known oxidative stress and inflammation characterization of the hepatitis process, leading to new insights concerning hepatitis and hepatocarcinogenesis development. Keywords: disease state analysis 6 weeks old LEC rats, 6 rats per group, were sacrified at different hepatitis stages. Biochemical and histological analyses were performed in order to classify the rats into normal, slight jaundice or jaundice groups. D-penicillamine-treated LEC rats (100 mg/kg/day p.o.) were used as control rats since they behave as normal rats. Microarray analysis was performed on liver samples, one replicate per rat, using dyes swap.
2008-04-24 | E-GEOD-7654 | biostudies-arrayexpress
Project description:A major task in dissecting the genetics of complex traits is to identify causal genes for disease phenotypes. We previously developed a method to infer causal relationships among genes through the integration of DNA variation, gene transcription, and phenotypic information. Here we validated our method through the characterization of transgenic and knockout mouse models of candidate genes that were predicted to be causal for abdominal obesity. Perturbation of eight out of the nine genes, with Gas7, Me1 and Gpx3 being novel, resulted in significant changes in obesity related traits. Liver expression signatures revealed alterations in common metabolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enriched metabolic network module that is highly associated with metabolic traits in mice and humans. Integration of gene expression in the design and analysis of traditional F2 intercross studies allows high confidence prediction of causal genes, and identification of involved pathways and networks. Keywords: Obesity study in transgenic animals A total of 14 mice were used for this study (7 Gas7 transgenic and 7 FVB wildtype). The gene expression data is from the livers of 23 week old male wildtype and transgenic mice. These mice were fed a 4% fat chow diet until 11 weeks of age and then were fed a 6% fat chow diet until sacrifice at 23 weeks of age.
2009-03-07 | E-GEOD-11996 | biostudies-arrayexpress
Project description:A major task in dissecting the genetics of complex traits is to identify causal genes for disease phenotypes. We previously developed a method to infer causal relationships among genes through the integration of DNA variation, gene transcription, and phenotypic information. Here we validated our method through the characterization of transgenic and knockout mouse models of candidate genes that were predicted to be causal for abdominal obesity. Perturbation of eight out of the nine genes, with Gas7, Me1 and Gpx3 being novel, resulted in significant changes in obesity related traits. Liver expression signatures revealed alterations in common metabolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enriched metabolic network module that is highly associated with metabolic traits in mice and humans. Integration of gene expression in the design and analysis of traditional F2 intercross studies allows high confidence prediction of causal genes, and identification of involved pathways and networks. Keywords: Obesity study in transgenic animals A total of 8 mice were used for this study (4 Gpx3 transgenic and 4 B6/DBA wildtype). The gene expression data is from the livers of 23 week old male wildtype and transgenic mice. These mice were fed a 4% fat chow diet until 11 weeks of age and then were fed a 6% fat chow diet until sacrifice at 23 weeks of age.
2009-03-07 | E-GEOD-11997 | biostudies-arrayexpress
Project description:A major task in dissecting the genetics of complex traits is to identify causal genes for disease phenotypes. We previously developed a method to infer causal relationships among genes through the integration of DNA variation, gene transcription, and phenotypic information. Here we validated our method through the characterization of transgenic and knockout mouse models of candidate genes that were predicted to be causal for abdominal obesity. Perturbation of eight out of the nine genes, with Gas7, Me1 and Gpx3 being novel, resulted in significant changes in obesity related traits. Liver expression signatures revealed alterations in common metabolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enriched metabolic network module that is highly associated with metabolic traits in mice and humans. Integration of gene expression in the design and analysis of traditional F2 intercross studies allows high confidence prediction of causal genes, and identification of involved pathways and networks. Keywords: Obesity study in knockout animals A total of 10 mice were used for this study (5 Gyk heterozygotes and 5 B6 wildtype). The gene expression data is from the livers of 23 week old female wildtype and transgenic mice. These mice were fed a 4% fat chow diet until 11 weeks of age and then were fed a 6% fat chow diet until sacrifice at 23 weeks of age.
2009-03-07 | E-GEOD-11998 | biostudies-arrayexpress
Project description:A major task in dissecting the genetics of complex traits is to identify causal genes for disease phenotypes. We previously developed a method to infer causal relationships among genes through the integration of DNA variation, gene transcription, and phenotypic information. Here we validated our method through the characterization of transgenic and knockout mouse models of candidate genes that were predicted to be causal for abdominal obesity. Perturbation of eight out of the nine genes, with Gas7, Me1 and Gpx3 being novel, resulted in significant changes in obesity related traits. Liver expression signatures revealed alterations in common metabolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enriched metabolic network module that is highly associated with metabolic traits in mice and humans. Integration of gene expression in the design and analysis of traditional F2 intercross studies allows high confidence prediction of causal genes, and identification of involved pathways and networks. Keywords: Obesity study in transgenic animals A total of 16 mice were used for this study (7 Lactb transgenic and 9 FVB wildtype). The gene expression data is from the livers of 23 week old male wildtype and transgenic mice. These mice were fed a 4% fat chow diet until 11 weeks of age and then were fed a 6% fat chow diet until sacrifice at 23 weeks of age.
2009-03-07 | E-GEOD-11999 | biostudies-arrayexpress
Project description:Background; In the postabsorptive state, the portal-drained viscera are a major energy consumer, but a comprehensive overview of the adaptive fasting response in the liver is lacking. Hence, gene-expression profiling, pathway, network and gene-set enrichment analysis and immunohistochemistry were carried out on mouse liver after 0, 12, 24, and 72 hours of fasting. Results; Liver weight has fallen to 50% of control after three days of fasting, hepatocyte size was reduced with no apparent increase in apoptosis, while the basic liver structure and metabolic zonnation were preserved. Expression profiling and pathway analysis depicted four master processes, all with response peaking at 24 hours, and all but one decreasing towards 72h. Changes in gene expression were compatible with cellular energy deficiency, and metabolic adaptations were directed at enhanced glucose production, stimulation of lipid catabolism and ketone body synthesis, and strongly augmented ATP production. Consequently, the expression of genes involved in oxidative and endoplasmic reticulum stress response was increased. In addition, urea cycle genes were strongly upregulated during whole duration of fasting, in spite no obvious increase in amino-acid catabolism. Major physiological change upon continued fasting was restoration of glycogen reserves, but with reverse localization, demonstrating utilization of different glycogenic precursor compared to the fed controls. Conclusion; The changes in liver gene expression indicate a rapid onset of generating glucose and ketone bodies during short, and a return to near normal situation in prolonged fasting. The reason apparently lies in glycogen repletion, due to late fasting glucose production by (gut and) kidney. Experiment Overall Design: Male FVB mice (Charles River, Maastricht, The Netherlands) were housed at 20-22°C, 50-60% humidity, a 12 hours light/dark cycle, and food and water ad libitum. At 6 weeks of age, mice were fasted by removing chow for up to 72 hours before sacrifice (n = 6 per group). All animals were sacrificed between 9:00 and 10:00 a.m. by cervical dislocation. The liver was removed quickly, weighed, snap-frozen in liquid N2, and stored at -80°C. Total intestinal RNA was extracted from frozen tissue using TRIzol (Invitrogen), followed by a cleanup through a RNeasy column (Qiagen). The quality of RNA was assessed with the RNA 6000 Nano LabChip® Kit in an Agilent 2100 bioanalyzer (Agilent Technologies, Palo Alto, USA). The 60-mer Mouse Development (22K) Oligo Microarray G4120A (Agilent) was used. Three arrays per experimental condition were used. Per microarray, 20 μg mRNA, pooled from 2 livers, was reverse transcribed with Cy3-labelled dCTP (Perkin Elmer, Boston, USA), using the Agilent Fluorescent Direct Label Kit. Cy5-labeled cDNA produced from RNA pooled from livers of 6 fed animals served as the common reference across all arrays. Hybridized cDNAs were detected with Agilentâ??s dual-laser microarray slide scanner. The data were retrieved with Agilentâ??s Feature Extraction software 6.1.1.
2008-11-21 | E-GEOD-10653 | biostudies-arrayexpress
Project description:Utilizing C. elegans as a model of mitochondrial dysfunction provides insight into cellular adaptations which occur as a consequence of genetic alterations causative of human disease. We characterized genome-wide expression profiles of hypomorphic C. ele; Our goal was to detect concordant changes among clusters of genes that comprise defined metabolic pathways utilizing gene set enrichment analysis. Experiment Overall Design: 3 biological replicates of each C. elegans strain were used as sources of total RNA combined for hybridization to a single Affymetrix whole-genome microarray. Comparison of the data was intended to reveal metabolic pathways downstream of the mutation.
2008-04-08 | E-GEOD-9897 | biostudies-arrayexpress
Project description:A major task in dissecting the genetics of complex traits is to identify causal genes for disease phenotypes. We previously developed a method to infer causal relationships among genes through the integration of DNA variation, gene transcription, and phenotypic information. Here we validated our method through the characterization of transgenic and knockout mouse models of candidate genes that were predicted to be causal for abdominal obesity. Perturbation of eight out of the nine genes, with Gas7, Me1 and Gpx3 being novel, resulted in significant changes in obesity related traits. Liver expression signatures revealed alterations in common metabolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enriched metabolic network module that is highly associated with metabolic traits in mice and humans. Integration of gene expression in the design and analysis of traditional F2 intercross studies allows high confidence prediction of causal genes, and identification of involved pathways and networks. This SuperSeries is composed of the following subset Series: GSE11991: Liver gene expression profiling of lipoprotein lipase heterozygous knockout mice GSE11992: Liver gene expression profiling of cytosolic malic enzyme knockout mice GSE11993: Liver gene expression profiling of zinc finger binding protein 90 (Zfp90) transgenic mice GSE11994: Liver gene expression profiling of transforming growth factor beta receptor 2 heterozygous knockout (Tgfbr2+/-) mice GSE11995: Liver gene expression profiling of complement component 3a receptor 1 knockout (C3ar1-/-) mice GSE11996: Gas7 male transgenic liver expression vs FVB male wildtype control GSE11997: Gpx3 male transgenic liver expression vs B6/DBA male wildtype control GSE11998: Gyk female heterozygous liver expression vs C57Bl/6J female wildtype control GSE11999: Lactb male transgenic liver expression vs FVB male wildtype control Refer to individual Series
2009-03-07 | E-GEOD-12000 | biostudies-arrayexpress