Additive Effect of Multi-strain Mixtures of Dead Bacterial Strains on Human Gut Microbiota in an In Vitro Model of Human Intestinal Microbiota
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PROVIDER: PRJEB71990 | ENA |
REPOSITORIES: ENA
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Project description:Adult female three-spined stickleback fish (Gasterosteus aculeatus) were exposed to 10 individual chemicals, 26 mixtures of these chemicals, or control conditions in a flow-through system for 4 days. Transcriptomics was performed on liver samples by microarray. The main aims were to determine molecular signatures induced by these chemicals in the three-spined stickleback, discover whether these persisted in chemical mixtures and identify non-additive molecular responses in chemical mixtures exposures.
2018-03-01 | E-MTAB-5581 | biostudies-arrayexpress
Project description:The diets of industrialized countries reflect the increasing use of processed foods, often with the inclusion of novel food additives. Xanthan gum is a complex polysaccharide with unique rheological properties that have established its use as a widespread stabilizer and thickening agent. Xanthan gum’s chemical structure is distinct from the host and dietary polysaccharides that are more commonly expected to transit the gastrointestinal tract, and little is known about its direct interaction with the gut microbiota, which plays a central role in digestion of other dietary fiber polysaccharides. Here, we show that the ability to digest xanthan gum is surprisingly common in industrialized human gut microbiomes and appears contingent on a single uncultured bacterium in the family Ruminococcaceae. Our data reveal that this primary degrader cleaves the xanthan gum backbone before processing the released oligosaccharides using additional enzymes. Surprisingly, some individuals harbor a Bacteroides intestinalis that is incapable of consuming polymeric xanthan gum but grows on oligosaccharide products generated by the Ruminococcaceae. Feeding xanthan gum to germfree mice colonized with a human microbiota containing the uncultured Ruminococcaceae supports the idea that this additive can drive expansion of this primary degrader along with exogenously introduced Bacteroides intestinalis. Our work demonstrates the existence of a potential xanthan gum food chain involving at least two members of different phyla of gut bacteria and provides an initial framework to understand how widespread consumption of a recently introduced food additive influences human microbiomes.
2022-02-28 | PXD031522 | Pride
Project description:The recent development of a custom cDNA microarray platform for one of thé standard organisms in aquatic toxicology, Daphnia magna, opened up new ways to mechanistic insights of toxicological responses. In this study, gene expression and (sub)organismal responses (Cellular Energy Allocation, growth) were assayed after short-term waterborne metal exposure. Microarray analysis of Ni-exposed daphnids revealed several affected functional gene classes, of which the largest ones were involved in different metabolic processes (mainly protein and chitin related processes), cuticula turnover, transport and signal transduction. Furthermore, genes involved in oxygen transport and heme metabolism (hemoglobin, δ-aminolevilunate synthase) were down-regulated. Applying a Partial Least Squares regression on nickel fingerprints and biochemical (sub)organismal parameters revealed a set of co-varying genes (hemoglobin, RNA terminal phosphate cyclase, a ribosomal protein and an “unknown” gene fragment). An inverse relationship was seen between the mRNA expression levels of different cuticula proteins and available energy reserves. In addition to the nickel exposure, daphnids were exposed to binary mixtures of nickel and cadmium or nickel and lead. Using multivariate analysis techniques, the mixture gene expression fingerprints (Ni2++Cd2+, Ni2++Pb2+) were compared to those of the single metal treatments (Ni2+, Cd2+, Pb2+). It was hypothesized that the molecular fingerprints of the mixtures would be additive combinations of the gene expression profiles of the individual compounds present in the mixture. However, our results clearly showed additionally affected pathways after mixture treatment (e.g. additional affected genes involved in carbohydrate catabolic processes and proteolysis), indicating interactive molecular responses which are not merely the additive sum of the individual metals. These findings, although indicative of the complex nature of mixture toxicity evaluation, underline the potential of a toxicogenomics approach in gaining more mechanistic information on the effects of single compounds and mixtures.
2009-02-27 | GSE13866 | GEO
Project description:Sparus aurata gut microbiota (control and additive diet) Metagenome
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Project description:Expression profiling analyses for 5 maize inbreds and 4 hybrids, chosen to represent diversity in genotypes and heterosis responses, revealed a correlation between genetic diversity and transcriptional variation. The majority of differentially expressed genes in each of the different hybrids exhibited additive expression patterns, and ~25% exhibited statistically significant non-additive expression profiles. Among the non-additive profiles, ~80% exhibited hybrid expression levels between the parental levels, ~20% exhibited hybrid expression levels at the parental levels and ~1% exhibited hybrid levels outside the parental range. These findings indicate that the frequencies of additive and non-additive expression patterns are very similar across a range of hybrid lines. Keywords: Genotype comparison series
2008-01-26 | GSE10236 | GEO
Project description:Synthetic mixtures of Campylobacter jejuni strains
| PRJEB55470 | ENA
Project description:Mine-tailing soil mixtures Raw sequence reads
| PRJNA484825 | ENA
Project description:Background: Organophosphate esters (OPEs), used as flame retardants and plasticizers, are present ubiquitously in the environment. Previous studies suggested that exposure to OPEs may be detrimental to female fertility in humans. However, no experimental information is available on the effects of OPE mixtures on ovarian granulosa cells, which play essential roles in female reproduction. Objectives: The goal of this study was to elucidate the effects of OPE mixtures representative of those found in Canadian house dust on ovarian granulosa cells. Methods: We used high-content imaging to investigate the effects an environmentally relevant OPE mixtures on KGN human granulosa cell phenotypes. Perturbation to steroidogenesis was assessed using ELISA and qRT-PCR. A high-throughput transcriptomic approach, TempO-Seq, was used to identify transcriptional changes in a targeted panel of genes. Effects on lipid homeostasis were explored using cholesterol assay and global lipidomic profiling. Results: OPE mixtures with distinct structural characteristics altered multiple phenotypic features of KGN cells with different potencies. The mixtures increased basal production of steroid hormones; this was mediated by significant changes in the expression of critical transcripts involved in steroidogenesis. Further, the total-OPE mixture disrupted cholesterol homeostasis and the composition of intracellular lipid droplets. Discussion: Exposure to house dust-derived mixtures of OPEs may adversely affect female reproductive health by altering a multitude of phenotypic and functional endpoints in granulosa cells. This study provides novel insights into the mechanisms of actions underlying the toxicity induced by OPE mixtures and highlights the need to examine the effects of human relevant chemical mixtures.
2024-07-03 | GSE247310 | GEO
Project description:The recent development of a custom cDNA microarray platform for one of thé standard organisms in aquatic toxicology, Daphnia magna, opened up new ways to mechanistic insights of toxicological responses. In this study, gene expression and (sub)organismal responses (Cellular Energy Allocation, growth) were assayed after short-term waterborne metal exposure. Microarray analysis of Ni-exposed daphnids revealed several affected functional gene classes, of which the largest ones were involved in different metabolic processes (mainly protein and chitin related processes), cuticula turnover, transport and signal transduction. Furthermore, genes involved in oxygen transport and heme metabolism (hemoglobin, δ-aminolevilunate synthase) were down-regulated. Applying a Partial Least Squares regression on nickel fingerprints and biochemical (sub)organismal parameters revealed a set of co-varying genes (hemoglobin, RNA terminal phosphate cyclase, a ribosomal protein and an âunknownâ gene fragment). An inverse relationship was seen between the mRNA expression levels of different cuticula proteins and available energy reserves. In addition to the nickel exposure, daphnids were exposed to binary mixtures of nickel and cadmium or nickel and lead. Using multivariate analysis techniques, the mixture gene expression fingerprints (Ni2++Cd2+, Ni2++Pb2+) were compared to those of the single metal treatments (Ni2+, Cd2+, Pb2+). It was hypothesized that the molecular fingerprints of the mixtures would be additive combinations of the gene expression profiles of the individual compounds present in the mixture. However, our results clearly showed additionally affected pathways after mixture treatment (e.g. additional affected genes involved in carbohydrate catabolic processes and proteolysis), indicating interactive molecular responses which are not merely the additive sum of the individual metals. These findings, although indicative of the complex nature of mixture toxicity evaluation, underline the potential of a toxicogenomics approach in gaining more mechanistic information on the effects of single compounds and mixtures. In general, a universal reference design was used. The following analysis (normalization and statistical analysis) was performed. Spots were identified and ratioâs quantified by means of the Genepix software 5.0 (Axon Instruments). Subsequently, a MIAME compliant platform, the BioArray Software Environment Database (BASE 1.2.12, http://www.islab.ua.ac.be/base/) was used for storage, further evaluation and succeeding statistical analysis of the microarray datasets. After a local background correction, spots with a foreground larger than the mean local background +2 standard deviations for one or both colours were selected for further analysis. The Log2 transformed Cy3/Cy5 ratio data were normalized by implementation of a Locally Weighed Scatterplot Smoothing (Lowess) (Yang et al., 2002) step, which is an intensity-based method. Significant vertical cut-off values of log -0.85 and 0.85 were determined through multiple self-self hybridizations. These were performed by labelling the same biological material with both Cy3 and Cy5 dyes and hybridizing them simultaneously on a microarray slide. To statistically evaluate the microarray results, Significance Analysis of Microarrays (SAM) described by Tusher et al. (2001) was applied on the Lowess normalized datasets. With this SAM approach a false discovery rate (FDR) below 5% was applied. As a result genes with log2 ratios outside the confidence interval of -0.85 and 0.85 were considered as differentially expressed gene fragments when FDR was below 5%.
2010-05-22 | E-GEOD-13866 | biostudies-arrayexpress
Project description:Small organisms can be used as biomonitoring tools to assess chemicals in the environment. Chemical stressors are especially hard to assess and monitor when present as complex mixtures. Here, Daphnia magna were exposed for 24 hours to five different munitions constituents 2,4,6-trinitrotoluene (TNT), 2,4-dinitrotoluene (2,4-DNT), 2,6-dinitrotoluene (2,6-DNT), trinitrobenzene (TNB), dinitrobenzene (DNB), or 1,3,5-trinitro-1,3,5-triazacyclohexane (RDX) as well as to 8 different munitions mixtures and ground water contaminated with munitions constituents. To better understand possible mixture effects, gene expression changes from all treatments were compared using high-density microarrays. While mixtures and ground water exposures had genes and gene functions in common with single chemical exposures, unique functions were also affected, which was consistent with the non-additivity of chemical effects in these mixtures.
2011-06-23 | GSE30163 | GEO