Hydrocarbon metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA197360 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gulf Oil Spill underwater oil plume samples Targeted Locus (Loci)
| PRJNA234441 | ENA
Project description:In this study we characterize the gill transcriptome changes in Gulf killifish (Fundulus grandis) that coincide with controlled laboratory-based exposure to various concentrations of experimentally-weathered south Louisiana crude oil. Gill transcription was contrasted between doses and across timepoints following dosing.
2014-08-11 | E-MTAB-2834 | biostudies-arrayexpress
Project description:In this study we characterize the liver transcriptome changes in Gulf killifish (Fundulus grandis) that coincide with controlled laboratory-based exposure to various concentrations of experimentally-weathered south Louisiana crude oil. Liver transcription was contrasted between doses and across timepoints following dosing.
2014-08-13 | E-MTAB-2841 | biostudies-arrayexpress
Project description:Purpose:To help identify molecular regulatory mechanisms of developmental toxicity for fish exposed to Deepwater Horizon (DWH) oil, microRNA profiles in red drum larvae exposed to different DWH oils (source/mass and artificially weathered oil) were evaluated using High Throughput Sequencing (HTS). Methods:Total microRNA profiles of 48 hpf red drum larvae after source oil (0.135%, 0.27%, and 0.54%) and slick oil (1.25%, 2.5% and 5%) exposure were generated by deep sequencing, in triplicate, using Illumina NextSeq 500. Results: Source and slick oil significantly dysregulated the expression of miR-18a, miR-27b, and miR-203a across all exposure concentrations. The target genes of these miRNAs were predominantly involved in the neuro-cardio system development processes and associated key signaling pathways such as axonal guidance signaling, CREB signaling in neurons, synaptic long-term potentiation pathway, calcium signaling and role of NFAT in cardiac hypertrophy.
2019-01-09 | GSE120670 | GEO
Project description:On going efforts are directed at understanding the mutualism between the gut microbiota and the host in breast-fed versus formula-fed infants. Due to the lack of tissue biopsies, no investigators have performed a global transcriptional (gene expression) analysis of the developing human intestine in healthy infants. As a result, the crosstalk between the microbiome and the host transcriptome in the developing mucosal-commensal environment has not been determined. In this study, we examined the host intestinal mRNA gene expression and microbial DNA profiles in full term 3 month-old infants exclusively formula fed (FF) (n=6) or breast fed (BF) (n=6) from birth to 3 months. Host mRNA microarray measurements were performed using isolated intact sloughed epithelial cells in stool samples collected at 3 months. Microbial composition from the same stool samples was assessed by metagenomic pyrosequencing. Both the host mRNA expression and bacterial microbiome phylogenetic profiles provided strong feature sets that clearly classified the two groups of babies (FF and BF). To determine the relationship between host epithelial cell gene expression and the bacterial colony profiles, the host transcriptome and functionally profiled microbiome data were analyzed in a multivariate manner. From a functional perspective, analysis of the gut microbiota's metagenome revealed that characteristics associated with virulence differed between the FF and BF babies. Using canonical correlation analysis, evidence of multivariate structure relating eleven host immunity / mucosal defense-related genes and microbiome virulence characteristics was observed. These results, for the first time, provide insight into the integrated responses of the host and microbiome to dietary substrates in the early neonatal period. Our data suggest that systems biology and computational modeling approaches that integrate “-omic” information from the host and the microbiome can identify important mechanistic pathways of intestinal development affecting the gut microbiome in the first few months of life. KEYWORDS: infant, breast-feeding, infant formula, exfoliated cells, transcriptome, metagenome, multivariate analysis, canonical correlation analysis 12 samples, 2 groups
2012-03-19 | E-GEOD-31075 | biostudies-arrayexpress
Project description:Time-dependent 16S rRNA gene sequencing of methanogenic crude oil-degrading enrichment cultures
| PRJNA417121 | ENA
Project description:Purpose: To help identify molecular regulatory mechanisms of developmental toxicity for fish exposed to Deepwater Horizon (DWH) oil, microRNA profiles in mahi-mahi (Coryphaena hippurus) larvae exposed to different DWH oils (source/mass and artificially weathered oil) were evaluated using High Throughput Sequencing (HTS). Methods: Total microRNA profiles of 48 hpf mahi-mah larvae after slick (0.5%, 1%, and 2%) and source/mass oil (0.125%, 0.25% and 5%) exposure were generated by deep sequencing, in triplicate, using Illumina NextSEQ v2. Results: Among over 100 significant DE miRNAs, DE miRNAs that were inversely correlated with target mRNAs after slick and source oil exposure were identfied. miR-34b, miR-181b, miR-23b, and miR-203a responsive to both slick and source oil exposure were further filtered to predict downstream biological functions. The target genes of these four miRNAs were involved AhR signaling, Cardiac β-adrenergic signaling, nNOS signaling in neurons, xenobiotic metabolism signaling, p53 signaling, cell cycle regulation, etc., as well as potential diseases including cardiovascular disease, neurological disease, developmental disorder, ophthalmic disease, metabolism disease, etc.
2019-02-20 | GSE116711 | GEO
Project description:Purpose:To help identify molecular mechanisms and pathways potentially involved in the developmental toxicity for fish exposed to Deepwater Horizon (DWH) oil, transcriptomic profiles in mahi-mahi (Coryphaena hippurus) embryos exposed to different DWH oils (source and artificially weathered oil) were evaluated at different critical windows of development using High Throughput Sequencing (HTS). Methods:Total mRNA profiles of 24, 48, 96 hpf mahi-mahi larvae after slick and source oil exposure were generated by deep sequencing, in triplicate, using Illumina HiSeq2500. qRT–PCR validation was performed using SYBR Green assays. Results: Exposure to slick oil induced more pronounced changes in gene expression over time than did exposure to source oil. Predominant transcriptomic responses included alteration of E1F2 signaling, steroid biosynthesis, ribosome biogenesis, perturbation in eye development and peripheral nervous, and activation of P450 pathway. Comparisons of changes of cardiac / Ca2+-associated genes with phenotypic responses revealed reduced heart rate and increased pericardial edema in larvae exposed to slick oil but not source oil.
2016-07-07 | GSE79675 | GEO
Project description:The experiment was designed to test the interactions of Spartina alterniflora, its microbiome, and the interaction of the plant-microbe relationship with oil from the Deepwater Horizon oil spill (DWH). Total RNA was extracted from leaf and root microbiome of S. alterniflora in soils that were oiled in DWH oil spill with or without added oil, as well as those grown in unoiled soil with or without added oil. The work in its entirety characterizes the transport, fate and catabolic activities of bacterial communities in petroleum-polluted soils and within plant tissues.
2020-04-10 | GSE148431 | GEO
Project description:In a prior report, we observed two distinct lung microbiomes in healthy subjects that we termed â??pneumotypesâ??: pneumotypeSPT, characterized by high bacterial load and supraglottic predominant taxa (SPT) such as the anaerobes Prevotella and Veillonella; and pneumotypeBPT, with low bacterial burden and background predominant taxa (BPT) found in the saline lavage and bronchoscope. Here, we determined the prevalence of these two contrasting lung microbiome types, in a multi-center study of healthy subjects. We confirmed that a lower airway microbiome enriched with upper airway microbes (pneumotypeSPT) was present in ~45% of healthy individuals. Cross-sectional Multicenter cohort. BAL of 49 healthy subjects from three cohort had their lower airway microbiome assessed by 16S rDNA sequencing and microbial gene content (metagenome) was computationally inferred from taxonomic assignments. The amplicons from total 100 samples are barcoded; the barcode and other clinical characteristics (e.g. inflammatory biomarkers and metabolome data) for each sample are provided in the 'Pneumotype.sep.Map.A1.txt' file.
2016-03-29 | E-GEOD-74395 | biostudies-arrayexpress