Expression data from mouse liver
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE85998 | GEO | 2016/08/25
SECONDARY ACCESSION(S): PRJNA339967
REPOSITORIES: GEO
Similar Datasets
Project description:Livers from 15 month old mice mainatined on one of 25 different diets varying in protein, carbohydrate, fat (P,C,F) and energy content were analysed. Energy content was categorised as low (8kJ/g), medium (13kJ/g) or high (17kJ/g) Mice were placed on diet from 3 weeks of age and a subset culled for various analyses. The rest of the cohort was allowed to live out their natural life to assess lifespan. We used microarrays to details the global programme of gene expression as a result of changes in dietary macronutrient composition and intake. 30 cages of male and female mice per diet were used in this experiment. One mouse from each cage was randomly selected for harvest at 15 months old, while the others were left to age naturally. RNA from mouse livers were extracted and hybridized on Affymetrix microarrays
2016-08-25 | E-GEOD-85998 | biostudies-arrayexpress
Project description:Gene expression studies in peripheral blood mononuclear cells (PBMC) can provide knowledge that would be difficult to obtain using other types of biological samples, as these cells can reflect overall response of the body to a specific stimulus, such as diet. Here, we aimed to study the impact of sustained intake of isocaloric diets with an unbalanced macronutrient proportion (rich in fat or protein) on PBMC gene expression in rats using transcriptomics, to better understand the effects of these diets on metabolism and health. Macronutrient diet composition (especially increased protein content) affected PBMC gene expression. An important effect was observed in immune response-related genes. High protein (HP) diet produced an activation of genes mainly related to antigen recognition/presentation, whereas the high fat (HF) diet was more related to a decreased expression of these genes. Key energy homeostasis genes (mainly involved in lipid metabolism) were also affected, reflecting a nutritional adaptive response to the diets. Decreased Dhrs3 and increased Pref-1/Dlk1 expression observed in HP-fed animals reflects a lower lipogenic capacity. In addition, HF diet affected the expression of genes related to insulin resistance/signaling (Msra/Slc9a6, Asb6), hypoxia (Akap12), cardiovascular problems (Ethe1, Lr11), cognitive impairment (Tmcc2) and tumorigenesis (Ddx17, Phb, Rnasen/Drosha, and Tsc2). HP diet also impaired the expression of genes related to glucose metabolism and insulinemia (Glut-4/Slc2a4, Sfxn5, Slc16a1), but positively affected genes involved in liver function (Clec4f and St6galnac3) and cardiovascular protection (Sort1). In conclusion, gene expression analysis in PBMC can provide information that could be useful to detect metabolic deviations and health consequences of diets with an unbalanced macronutrient composition.
2015-12-07 | GSE54897 | GEO
Project description:A C57BL6/J (B6) x CAST/Ei (CAST) strain intercross was used to identify the first mammalian QTL for macronutrient-specific intake (carbohydrate and fat) and for total energy intake. A region on proximal Chromosome 17 revealed two significant QTL that co-localized for increased macronutrient intake-carbohydrate (Mnic1) and total kilocalorie intake (Kcal2), adjusted for body weight. An interval-specific congenic strain, B6.CAST-17, was then developed which verified the QTL. A new sub-congenic strain was developed which retained the linked traits. Important new findings emerged shows that this congenic interval confers an activity phenotype, i.e., mice carrying the differential segment have 20% higher spontaneous physical activity levels compared with the host B6 strain. We hypothesize that this Chromosome 17 QTL is either encoded by a single gene locus that determines both food intake and physical activity, or by two or more genes, each determining a sub-phenotype of energy balance. Microarray analysis of skeletal muscle and hypothalamus in congenic and wild type B6 mice was carried out to identify potential candidate genes for the activity and food intake behavior. Keywords: macronutrient-specific intake, sub-congenic strain
2009-02-12 | GSE10517 | GEO
Project description:Gene expression studies in peripheral blood mononuclear cells (PBMC) can provide knowledge that would be difficult to obtain using other types of biological samples, as these cells can reflect overall response of the body to a specific stimulus, such as diet. Here, we aimed to study the impact of sustained intake of isocaloric diets with an unbalanced macronutrient proportion (rich in fat or protein) on PBMC gene expression in rats using transcriptomics, to better understand the effects of these diets on metabolism and health. Macronutrient diet composition (especially increased protein content) affected PBMC gene expression. An important effect was observed in immune response-related genes. High protein (HP) diet produced an activation of genes mainly related to antigen recognition/presentation, whereas the high fat (HF) diet was more related to a decreased expression of these genes. Key energy homeostasis genes (mainly involved in lipid metabolism) were also affected, reflecting a nutritional adaptive response to the diets. Decreased Dhrs3 and increased Pref-1/Dlk1 expression observed in HP-fed animals reflects a lower lipogenic capacity. In addition, HF diet affected the expression of genes related to insulin resistance/signaling (Msra/Slc9a6, Asb6), hypoxia (Akap12), cardiovascular problems (Ethe1, Lr11), cognitive impairment (Tmcc2) and tumorigenesis (Ddx17, Phb, Rnasen/Drosha, and Tsc2). HP diet also impaired the expression of genes related to glucose metabolism and insulinemia (Glut-4/Slc2a4, Sfxn5, Slc16a1), but positively affected genes involved in liver function (Clec4f and St6galnac3) and cardiovascular protection (Sort1). In conclusion, gene expression analysis in PBMC can provide information that could be useful to detect metabolic deviations and health consequences of diets with an unbalanced macronutrient composition. 2 months-old male Wistar rats received a low fat control diet, or a high fat (HF) diet, or a high protein (HP) diet for 4 months, respectively. At the end of the intervention, prior to the sacrifice of the animals, peripheral blood samples (1.5-2.5 mL) were collected from the safena vein, using heparin in NaCl (0.9%) as anticoagulant. Immediately after blood collection, peripheral blood mononuclear cells (PBMC) were isolated by Ficoll gradient separation. Total RNA was isolated from PBMC, quantified and qualified, and subsequently used for global gene expression profiling using Agilent 4x44K microarrays.
2015-12-07 | E-GEOD-54897 | biostudies-arrayexpress
Project description:The specific genes influencing the quantitative variation in macronutrient preference and food intake are virtually unknown. We refined a previously identified mouse chromosome 17 (MMU17) region harboring quantitative trait loci (QTL) with large effects on preferential macronutrient intake-carbohydrate (Mnic1), total kilcalories (Kcal2), and total food volume (Tfv1) using interval-specific congenic strains. These loci were isolated in the [C57BL/6J.CAST/EiJ-17.1-(D17Mit19-D17Mit50); B6.CAST-17.1] strain, developed by introgressing a ~40.1 Mb CAST MMU17 region into recipient B6 genome. In a diet selection paradigm (carbohydrate/protein vs. fat/protein), these B6.CAST-17.1 sub-congenic mice eat 30% more calories from the carbohydrate-rich diet, ~10% more total calories, and ~9% more total food volume per body weight. In the current study, this carbohydrate-preferring B6.CAST-17.1 subcongenic strain was crossed with the fat-preferring inbred B6 strain to generate a subcongenic-derived F2 mapping population; genotypes were determined using a high-density, custom SNP panel. The main outcome of this study is that genetic linkage analysis greatly reduced the 95% confidence interval (CI) for Mnic1 (encompassing Kcal2 and Tfv1) from 40.1 to 29.5 Mb and more precisely established the QTL boundaries. Specifically, the genetic architecture for Mnic1 (preferential carbohydrate intake) does not follow the same pattern as that for co-localized Kcal2/Tfv1 (total kcal and food volume, respectively), suggesting the presence of separate quantitative trait genes for these food intake traits. No genetic linkage for self-selected fat intake was detected, underscoring the carbohydrate-specific effects of this MMU17 locus. The Mnic1/Kcal2/Tfv1 QTL was further de-limited to a ~19.1 Mb interval, based on the absence of macronutrient diet selection phenotypes in subcongenic HQ17IIa mice that possess CAST MMU17 donor segment on a C57BL/6Jhg/hg background. A second key finding is the separation of two energy balance QTLs: Mnic1/Kcal2/Tfv1 for food intake and a newly discovered locus regulating short term body weight gain. The genes Decr2, Ppard and Agapt1 in the critical QTL interval were identified and prioritized using a combination of genome sequence analysis, and tag-based transcriptome sequencing to measure hypothalamic gene expression in non-recombinant F2 controls, possessing cast/cast and b6/b6 genotypes across the sub-congenic segment. Global gene expression profiles in the hypothalamus were compared between non-recombinant subcongenic-derived F2 mice, possessing a genotype of cast/cast (n=12) or b6/b6 (n=12) across the Chr 17 subcongenic segment and b6/b6 across the rest of the genome. RNA was isolated from individual mice of each genotype that were selected for study. Specifically, twelve mice of each genotype that displayed the most divergent phenotypic values for self-selected carbohydrate and total kcal intake were chosen for gene expression analysis, i.e., cast/cast mice with the highest and b6/b6 mice with the lowest kcal intake from carbohydrate, or the 25% tails of the distribution. Tissues were harvested ~48 h after re-initiation of the carbohydrate/protein vs. fat/protein diets, following an extended wash-out period on chow diet after completion of the 10 d macronutrient selection test.
2015-05-15 | E-GEOD-60756 | biostudies-arrayexpress
Project description:Considering the present scenario of fast-paced life, the major shifts in eating culture in the last five decades, and the crucial role of smell in food intake, it is thus crucial to map and better understand the effects of ultra-processed diets - especially under short-term regimens - on our brain metabolism and sense of smell. To address this question, we used mice to investigate the effects of the short-term consumption of three diets varying in macronutrient composition and origin (one whole-grain-based and two ultra-processed synthetic diets) on the transcriptional profiles of the olfactory mucosa and different brain regions.
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2018-10-23 | E-MTAB-6929 | biostudies-arrayexpress
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