Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

SYSTEMATIC TRANSCRIPTIONAL PROFILING OF THE LIVER, HEART, SKELETAL MUSCLE, AND ADIPOSE TISSUE IN INSULIN RESISTANT, DIET-INDUCED OBESE C57BL/6J MOUSE

ABSTRACT: Following 20wk of either chow or high fat feeding, tissues were collected from C57BL/6J mice. Gene expression in four tissues that have been associated with obesity-related metabolic complications: white adipose tissue (WAT), skeletal muscle, the liver, and the heart were examined. Data suggest that some tissues may be attempting to reduce the metabolic perturbations that occur in the early stages of obesity. Also, many identified genes were associated with a variety of disorders, thereby serving as potential links between obesity and related health risks. After 3 wk of weaning, male C57BL/6J littermates were randomly separated into control (n=6) and treatment (n=6) groups for each tissue. After an acclimatization period of 1wk, animals were given free access to a chow diet (23% protein, 21% fat, and 55% carbohydrate) or a high fat (HF) diet (15% protein, 59% fat, and 26% carbohydrate) for 20wk. Following the feeding period, animals were fasted for 6h, anesthetized with pentobarbital, and weighed. Blood glucose was assessed in anesthetized mice. Non-esterified fatty acids and immunoreactive insulin was assayed with a double antibody method. Samples of WAT, the liver, gastrocnemius muscle and heart were obtained, frozen with liquid nitrogen, and stored at -80oC until subsequent use. Tissue samples were homogenized at short intervals of time and total RNA was isolated using cold TRIzol (Invitrogen, Ontario, Canada) to prevent RNA degradation. Cdna was prepared to perform the microarrays. For every treatment sample and its corresponding control, two microarrays were performed in a dye-swap normalization experiment. Mouse M7K microarray chip from the Southern Alberta Microarray Facility (University of Calgary, Calgary, AB) were used (GEO Accession: Platform GPL3965).

ORGANISM(S): Mus musculus

SUBMITTER: Jane Shearer

PROVIDER: E-GEOD-26029 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

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 abdominal adipose 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 abdominal adipose during juvenile development using a balanced block hybridization design. Fluorescence intensities were normalized within array (without background subtraction), and between array (aquantile method) in LIMMA package R [Smyth, G. K. (2004) Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology, Vol. 3, No. 1, Article 3] producing M-values (log-2 expression ratios) and A-values (average log-2 expression values). Normalized values were analyzed using a two factor ANOVA model. A total of 1,020 differentially expressed functional genes were identified (FDR<0.05). Genes were determined to have a significant effect of age (422), genotype (344), or an age by genotype interaction (254). The differentially expressed genes include metabolic enzymes, acute phase proteins, growth factors, coagulation 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. Keywords: Divergently selected chickens, fatness, transcriptional profiling, differentially expressed genes A balanced 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:The two-component system (TCS) is a specific regulatory system in bacteria and plays an important role in sensing and adapting to the environment. In this study, we evaluated the roles of TCSs in the major cariogenic pathogen Streptococcus mutans in resistance to several types of bacteriocin. In a comprehensive analysis using individual TCS mutants, we found that two novel TCSs were associated with resistance against distinct lantibiotics nisin A (class I type A[I]) and nukacin ISK-1(class I type A[II]). One TCS, SMU.659-660 (designated as NsrRS), was related to resistance against nisin A produced by Lactococcus lactis ATCC 11454. The other TCS, SMU.1146-1145 (designated as LcrRS), was related to resistance against nukacin ISK-1 produced by Staphylococcus warneri ISK-1. NsrRS induced the expression of SMU.658 (designated as NsrX), which constitutes an operon with nsrRS, in response to nisin A. Inactivation of nsrX increased susceptibility to nisin A. Additionally, NsrX expression in S. mutans increased the binding affinity to nisin A compared to a no-expression strain. LcrRS induced the expression of SMU.1148-50 (lctFEG), which encodes an ABC transporter and is located upstream of lcrRS, in response to nukacin ISK-1. Inactivation of lctFEG significantly increased susceptibility to nukacin ISK-1. Electrophoretic mobility shift assay analysis revealed that NsrR and LcrR bound directly to regions upstream of nsrX and lctFEG, respectively. This is the first report that two distinct TCSs, NsrRS and LcrRS, are independently involved in resistance to nisin A and nukacin ISK-1 in S. mutans. Total of 14 samples were analyzed. Total RNA from each test strain and control described below were labeled with Alexa FluorÂ® 555 and Alexa FluorÂ® 647, respectively, and were cohybridized on a single array. Labeling and hybridization were performed once or twice independently. UA159 wild type as control vs. UA159 with nisinA or nukacin ISK-1, UA159 wild type with nisinA or nukacin ISK-1 vs. nsrRS or lcrRS deletion mutant in UA159 with nisinA or nukacin ISK-1.

Project description:We previously reported that a low versus high glycemic index (GI) diet on a high fat (30% kcal fat) background (LGI and HGI, respectively) significantly retarded adverse health effects in C57BL/6J male mice. The LGI diet enhanced whole body insulin sensitivity and repressed high fat diet-induced body and adipose tissue weight gain, resulting in reduced serum leptin and resistin levels (Faseb J 2009; 23: 1092-1101). How white adipose tissue (WAT) is effected is examined in the present study. We characterized the molecular mechanisms underlying the GI-mediated effects in WAT using whole genome transcriptomics technology. We show that a LGI vs. HGI diet mainly exerts its beneficial effects on substrate metabolism, especially insulin signaling of fatty acid metabolism. In addition, cell adhesion and cytoskeleton remodeling showed reduced expression in line with lower WAT mass, but it might also be due to altered insulin sensitivity. An important transcription factor showing enhanced expression is PPARgamma. Furthermore, serum levels of triglycerides, total cholesterol, HDL- and LDL-cholesterol were significantly reduced by a LGI vs. HGI diet, and muscle insulin sensitivity was significantly increased as analyzed by PKB/Akt phosphorylation. Cumulatively, even though these mice were fed a high fat diet, the low versus high GI induced significantly favorable changes in metabolism in WAT. These effects suggest a partial overlap with pharmacological approaches by thiazolidinediones (TZDs) to treat insulin resistance and statins and plantsterols/stanols for hypercholesterolemia. It is therefore tempting to speculate that such a dietary approach might beneficially support pharmacological treatment of insulin resistance or hypercholesterolemia in humans. We analyzed 19 epididymal whie adipose tissue (epiWAT) samples from a 13 week High fat diet, Low glycemic index dietary group (LGI, n=9) versus a High fat diet, High glycemic index dietary group (HGI, n=10) after 13 weeks of feeding wildtype C57BL/6J male adult mice. Of the 19 arrays, we excluded 2 arrays for downstream analysis based on quality control (total final set contains 8 LGI and 9 HGI samples).

Project description:Microarray analysis of zygotic gene expression in 2-to-3 hour wild-type (wt) and smg mutant embryos. Expression is relative to mature, stage 14 oocytes, which contain the full maternal pool of mRNA. Strictly maternal genes that are not transcribed at the MZT contribute approximately 80% of transcripts in early embryos, and are not shown. Class I zygotic genes showed high levels of expression in 2-to-3 hour embryos. 142 of the 166 Class I genes were not expressed in smg mutants. The remaining zygotically expressed genes were also present in oocytes. These genes were divided into two classes, based on analysis of 4-to-6 hour old unfertilized eggs (4-6h unf), which are transcriptionally inactive. Class-II genes produce maternal transcripts that are stable in unfertilized eggs and show significantly increased expression in 2-to-3 hour post-fertilization embryos. 358 of 395 Class-II genes require SMAUG for zygotic expression. Class-III genes produce maternal transcripts that are degraded in unfertilized eggs and show significantly increased expression in 2-to-3 hour post-fertilization embryos. 65 of 408 Class-III genes require SMAUG for expression in 2-to-3 hour embryos. mRNA was extracted from staged fertilized or unfertilized eggs, as well as stage 14 oocytes as described previously (Tadros et al., 2007a). To assay mRNA quality, known stable (rpA1) and unstable (Hsp83) transcripts were probed on Northern blots. Total RNA was then reverse transcribed with random primers (Tadros et al., 2007a) and labeled asÃ?described in the Indirect Labeling of Total RNA for Microarray Hybridization protocol at http://www.flyarrays.com. The fluorescently labeled cDNA probes were hybridized to 12Kv1 microarrays obtained from the Canadian Drosophila Microarray Centre (http://www.flyarrays.com; GEO platform accession number GPL1467: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL1467). Hybridization and scanning were performed using a PerkinElmer/GSI ScanArray 4000 scanner and the ScanArray software as previously described (Neal et al., 2003). The 16 bit TIFF image files were quantified using QuantArray Version 3 (PerkinElmer), using the adaptive quantification algorithm and analyzed using GeneTraffic Duo3.2 (Iobion Informatics/Stratagene). The 12Kv1 arrays were normalized using the rank invariant LOWESS extrapolation method (Schadt et al., 2001).

Dataset Information

SYSTEMATIC TRANSCRIPTIONAL PROFILING OF THE LIVER, HEART, SKELETAL MUSCLE, AND ADIPOSE TISSUE IN INSULIN RESISTANT, DIET-INDUCED OBESE C57BL/6J MOUSE

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure