Project description:Different diets and lipid-lowering treatment influence gene expression profiles in mouse liver; We used microarrays to detail the hepatic gene expression profiles and identified distinct classes of changed genes under the different treatments. Experiment Overall Design: Mouse livers were selected after different treatments for RNA extraction and hybridization on Affymetrix microarrays.
Project description:we want to test how different diets (high energy diet HED and low energy diet LED) alter muscle methabolism in pigs. we perform different array experiments using an human platform (GPL2011) and RNA extracted from pig skelethal muscle. thank's this we also test cross-species hybridisation. Keywords: comparative genomic hybridisation
Project description:The mouse stool samples were collected from different diets fed mice and bacterial cells were harvest for metaproteomic analysis for understanding the role ofdiet on gut microbiota.
Project description:Diet plays a major role in altering the composition and function of the gut microbiota. Previously most studies have focused on the effects of fiber, fat, and different amounts of protein on the gut microbiota. In this study we investigated how different sources of protein affect the gut microbiota of mice. We fed conventional and germ-free C57BL/6J mice a series of defined diets where the source of dietary protein was the key difference, which made up twenty or forty percent of the diet. The dietary protein sources used were purified protein. The diets were fed to the same mice for one week each with a fecal sample collected at the end of each week. The diets were fed in this order: standard chow, 20% soy, 20% casein, 20% rice, 40% soy, 20% yeast, 40% casein, 20% pea, 20% egg white protein, 20% chicken bone broth, and lastly at the end of the experiment half of the mice were fed the 20% soy and half the mice the 20% casein diet again as a control. We did not collect fecal samples for the chicken bone broth diet as the diet was stopped prematurely due to diet intolerance. 12 germ-free mice (6 female, 6 male) in four cages were used. 12 mice with a conventional gut microbiota in four cages were used (6 female, 6 male). One germ-free mouse was found dead after diet 5 (20% yeast) and one conventional mouse was sacrificed after the second diet (20% casein). No sample could be collected from one of the conventional mice after the 20% egg white diet.
Project description:The main aim of this experiment was to investigate gene expression on human adipose tissue after two different 4-week energy-restricted diets. Our questions consisted in understanding how gene expression was linked to clinical parameters of obese patients and whether the two diets were discriminated this data. The subjects were randomly allocated, in a cross-over design, to two periods of 4 weeks of an energy restricted isocaloric diet of 1200 kcal as either a conventional diet (LC-CONV) or a special energy restricted diet compensated by proteins (LC-P-LGI). The two nutritional periods were separated by a wash-out interval of 8 weeks. The samples who contain a K in their name correspond to the LC-P-LGI diet while those who contain a C correspond to LC-CONV diet.
Project description:The adult human gut microbial community is typically dominated by two bacterial phyla (divisions), the Firmicutes and the Bacteroidetes. Little is known about the factors that govern the interactions between their members. Here we examine the niches of representatives of both phyla in vivo. Finished genome sequences were generated from E. rectale and E. eligens, which belong to Clostridium Cluster XIVa, one of the most common gut Firmicute clades. Comparison of these and 25 other gut Firmicutes and Bacteroidetes indicated that the former possess smaller genomes and a disproportionately smaller number of glycan-degrading enzymes. Germ-free mice were then colonized with E. rectale and/or a prominent human gut Bacteroidetes, Bacteroides thetaiotaomicron, followed by whole genome transcriptional profiling of both organisms in their distal gut (cecal) habitat as well as host responses, high resolution proteomic analysis of cecal contents, and biochemical assays of carbohydrate metabolism. B. thetaiotaomicron adapts to E. rectale by upregulating expression of a variety of polysaccharide utilization loci (PULs) encoding numerous glycoside hydrolase gene families, and by signaling the host to produce mucosal glycans that it, but not E. rectale, can access. E. rectale adapts to B. thetaiotaomicron by decreasing production of its glycan-degrading enzymes, increasing expression of selected amino acid and sugar transporters, and facilitating glycolysis by reducing levels of NADH, in part via generation of butyrate from acetate, which in turn is utilized by the gut epithelium. This simplified model of the human gut microbiota illustrates niche specialization and functional redundancy within members of major gut bacterial phyla, and the importance of host glycans as a nutrient foundation that ensures ecosystem stability. We assessed how E. rectale and B. thetaiotaomicron were affected by changes in host diet. Groups of age- and gender-matched co-colonized mice were fed one of three diets that varied primarily in their carbohydrate and fat content: (i) the standard low-fat, plant polysaccharide-rich diet used for the experiments described above (abbreviated âLF/PPâ for low-fat/plant polysaccharide), (ii) a high-fat, âhigh-sugarâ Western-type diet (abbreviated HF/HS) that contained sucrose, maltodextrin, corn starch as well as complex polysaccharides (primarily cellulose) that were not digestible by B. thetaiotaomicron or E. rectale, and (iii) a control diet that was similar to (ii) except that the fat content was 4-fold lower (âLF/HSâ for low-fat, high-sugar; n=5 mice per group).
Project description:The effects of different diets on bovine serum extracellular vesicle (EV)-miRNAs are explored by small RNA Solexa sequencing. We partly replaced alfalfa hay with whole cotton seed and soybean hull in the feed formula of treat cows. Small RNAs are enriched in bovine serum EVs, including miRNAs, snRNAs, tiRNAs, Cis-regulatory elements, piRNAs, etc. Totally 359 bos taurus miRNAs are identified by sequencing. There are 15 immune-related miRNAs in the top 20 serum EV-miRNAs, accounting for about 80% of the total. Seven differently expressed known miRNAs were detected in responding to different diets. KEGG analysis showed differently expressed miRNAs are related to hormone signal pathways and protein metabolism.