Project description:The dataset provides the whole proteome of the anammox bacterium "Candidatus Kuenenia Stuttgartiensis" strain CSTR1 growing planctonically in semi-CSTR reactor. The bacteria were growing at high growth rate (0.33 d-1) (reactor HRT 3d).
Project description:In this study, microbial communities from triplicate leach-bed anaerobic bioreactors digesting grass were analysed. Each reactor comprised two microbial fractions, one immobilized on grass (biofilm) and the other in a planktonic state present in the leachate. Microbial communities from the two fractions were systematically investigated for community composition and function. This was carried out using DNA, RNA and protein co-extraction. The microbial structure of each fraction was examined using 16S rRNA deep sequencing, while the active members of the consortia were identified using the same approach on cDNA generated from co-extracted RNA samples. Microbial function was investigated using a metaproteomic workflow combining SDS-PAGE and LC-MS/MS analysis.
Project description:Anaerobic digestion of citrus peel waste and wastewater for hydrogen production in a continuous leach bed reactor subjected to different organic load. Metagenome
Project description:Modification of Gene Expression of Skeletal Muscle in Response to postmenopause with or without Hormone Replacement Therapy. Even though menopause is often accompanied with first signs of age-associated changes in muscle structure and function, the effects of hormone replacement therapy (HRT) or menopause-related decline in estrogen production in the muscles of postmenopausal women is not well understood. We have used a randomized double-blinded study design together with an explorative microarray experiment to characterize possible effects of continuous, combined HRT and estrogen deprivation on the skeletal muscle of fifteen early postmenopausal women from which 10 used HRT and 5 used placebo for 12-months in a douple-blinded design. Keywords: time course analysis from HRT users and non-users comparison of gene expression in skeletal muscle of healthy postmenopausel women using HRT (n=10) vs not-using HRT (n=5)
Project description:Modification of Gene Expression of Skeletal Muscle in Response to postmenopause with or without Hormone Replacement Therapy. Even though menopause is often accompanied with first signs of age-associated changes in muscle structure and function, the effects of hormone replacement therapy (HRT) or menopause-related decline in estrogen production in the muscles of postmenopausal women is not well understood. We have used a randomized double-blinded study design together with an explorative microarray experiment to characterize possible effects of continuous, combined HRT and estrogen deprivation on the skeletal muscle of fifteen early postmenopausal women from which 10 used HRT and 5 used placebo for 12-months in a douple-blinded design. Keywords: time course analysis from HRT users and non-users
2007-11-12 | GSE6348 | GEO
Project description:Microbiome analysis of trickle bed reactor at decreasing gas retention time
Project description:Background: Biological conversion of the surplus of renewable electricity to CH4 could support energy storage and strengthen the power grid. Biological methanation (BM) is closely linked to the activity of biogas-producing bacterial community and methanogenic Archaea in particular. During reactor operations, the microbiome is often subject to various changes whereby the microorganisms are challenged to adapt to the new conditions. In this study, a hydrogenotrophic-adapted microbial community in a laboratory-scale BM fermenter was monitored for its pH, gas production, conversion yields and composition. To investigate the robustness of BM regarding power oscillations, the biogas microbiome was exposed to five H2 starvations patterns for several hours.
Project description:The American Women’s Health Initiative study published in July 2002 caused considerable concern among hormone replacement therapy (HRT) users and prescribers in many countries. This study is an exploratory research comparing the genome wide expression profile in whole blood samples according to HRT use. Within the Norwegian Women and Cancer study, 100 postmenopausal women (50 HRT users and 50 non-HRT users) born between 1943 and 1949 with normal to high body mass index and no other medication use were selected. After total RNA extraction, amplification and labelling, the samples were hybridized together with a common reference (Universal human reference RNA, Stratagen) to Agilent Human 1A oligoarrays (G4110b, Agilent Technologies, Palo Alto, CA) containing 20,173 unique genes. Differentially expressed genes were used to build a classifier using the nearest shrunken centroids method (PAM). Then, we tested the significant changes in single genes by different methods like t-test, Significance Analysis of Microarrays (SAM) and Bayesian ANOVA analysis (BAM). Results did not reveal any distinct gene list which predicted accurately HRT exposure (error rate = 0.45). Classifier performance slightly improved (error rate = 0.29) including only women who were using continuous combined HRT treatment. According to the small amplitude of expression alterations observed after HRT use in whole blood, large sample sizes are needed to identify significant single genes differentially expressed. However, significant enrichments in biologic process of genes with small changes after HRT use were observed (e.g. receptor and transporter activities, immune response, frizzled signalling pathway, actin filament organization, glycogen metabolism). Keywords: gene expression profile and exposure
Project description:The American Women's Health Initiative study published in July 2002 caused considerable concern among hormone replacement therapy (HRT) users and prescribers in many countries. This study is an exploratory research comparing the genome wide expression profile in whole blood samples according to HRT use. Within the Norwegian Women and Cancer study, 100 postmenopausal women (50 HRT users and 50 non-HRT users) born between 1943 and 1949 with normal to high body mass index and no other medication use were selected. After total RNA extraction, amplification and labelling, the samples were hybridized together with a common reference (Universal human reference RNA, Stratagen) to Agilent Human 1A oligoarrays (G4110b, Agilent Technologies, Palo Alto, CA) containing 20,173 unique genes. Differentially expressed genes were used to build a classifier using the nearest shrunken centroids method (PAM). Then, we tested the significant changes in single genes by different methods like t-test, Significance Analysis of Microarrays (SAM) and Bayesian ANOVA analysis (BAM). Results did not reveal any distinct gene list which predicted accurately HRT exposure (error rate = 0.45). Classifier performance slightly improved (error rate = 0.29) including only women who were using continuous combined HRT treatment. According to the small amplitude of expression alterations observed after HRT use in whole blood, large sample sizes are needed to identify significant single genes differentially expressed. However, significant enrichments in biologic process of genes with small changes after HRT use were observed (e.g. receptor and transporter activities, immune response, frizzled signalling pathway, actin filament organization, glycogen metabolism). Experiment Overall Design: Indirect design with Stratagene reference Experiment Overall Design: 47 non HRT users and 42 HRT users Experiment Overall Design: No technical replicates