Ontology highlight
ABSTRACT:
PROVIDER: PRJEB46560 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Non-targeted Metabolomics from PPL extracts from Seaspray Aerosol, River and Ocean DOM from the Tijuna Esturay, Imperial Beach and Scripps Pier. Collected Jan-Feb-March-May 2019.
2019-06-04 | MSV000083889 | GNPS
Project description:To assess the impact of surface water across the Hun River, several sampling sites located in the mainstream and the tributary were selected representative of pollution gradient and different pollution source. Male adult zebrafish were exposed to surface water from seven sites for 4 days. The obiectives of the study was to evaluate the ability of transcriptomic profiles exposed to surface water to determine the potential biological effects, to differentiate different pollution source, and to identify the toxic components.
2017-04-01 | GSE92330 | GEO
Project description:To assess the impact of surface water across the Hun River, several sampling sites located in the mainstream and the tributary were selected representative of pollution gradient and different pollution source. Male adult zebrafish were exposed to surface water from seven sites for 4 days. The obiectives of the study was to evaluate the ability of transcriptomic profiles exposed to surface water to determine the potential biological effects, to differentiate different pollution source, and to identify the toxic components.
2017-12-19 | GSE108227 | GEO
Project description:To assess the impact of surface water across the Hun River, several sampling sites located in the mainstream and the tributary were selected representative of pollution gradient and different pollution source. Human mesenchymal stem cells were exposed to organic extracts of surface water from six sites for 2 days. Microarrays were used to measure the gene expression. And the gene expression profiles were used to evaluate the ability of determine the potential biological effects, to differentiate different pollution source, and to identify the toxic components.
2018-06-01 | GSE110310 | GEO
Project description:Non-targeted LC-MS/MS (pos mode) of PPL SPE extracted seawater and aerosol samples from Imperial Beach study 2020.
2021-02-22 | MSV000086926 | GNPS
Project description:Non-targeted LC-MS/MS (pos + neg mode) of PPL SPE extracted seawater and aerosol samples from Imperial Beach study 2020.
2021-03-04 | MSV000087006 | GNPS
Project description:While the majority of infants infected with respiratory syncytial virus (RSV) exhibit mild or no symptoms, approximately 3 million children under the age of five are hospitalized every year due to complications from RSV. This research sought to explore the biological processes and related biomarkers responsible for the varied manifestations of RSV disease in young infants. The goal is to pave the way for a more precise categorization of RSV-infected infants based on their medical requirements. Whole blood samples are collected from infant case-control cohort study, the RESCEU case-control cohort is a multinational, multicenter, observational study (clinical trial registration number: NCT03756766). Infants < 12 months old with RSV disease were recruited from the University Medical Center Utrecht (UMCU) in The Netherlands, Hospital Clínico Universitario de Santiago (SERGAS) in Spain, Imperial College (IMPERIAL) National Health Service Trust (NHS) and Oxford University Hospital NHS Trust (OXFORD) in the United Kingdom during the RSV seasons 2017-2018, 2018-2019, and 2019-2020. Healthy controls without underlying comorbidities were recruited outside of the RSV season. Eligibility criteria included hospitalization for less than 48 hours at enrolment or within 96 hours of disease onset, no previous receipt of medications to treat RSV infection, no prior exposure to an investigational RSV vaccine or medication, no previous receipt of immunoglobulins or monoclonal antibodies, and had not used montelukast or oral steroids within seven days before enrolment. Infants with co-morbidities were not evaluated in the manuscript. RSV was detected using RSV point-of-care test (POCT) by either a rapid antigen detection test (Alere I) (Alere Inc, Waltham, Massachusetts) or rapid RSV polymerase chain reaction (PCR) test at the hospital setting, or a RSV PCR test at the laboratory. Convalescence samples were collected 7 ±1 weeks after a positive RSV diagnostic test result. We used microarray to assist us to identify biomarkers for severe RSV disease.
2024-01-03 | GSE246622 | GEO
Project description:Toxicity of river sediments are assessed using whole sediment toxicity tests with benthic organisms. The challenge, however, is the differentiation between multiple effects caused by complex contaminant mixtures and the unspecific toxicity endpoints such as survival, growth or reproduction. Moreover, natural sediment properties, such as grain size distribution and organic carbon content, can influence the test parameters by masking pollutant toxicity. The use of gene expression profiling facilitates the identification of transcriptional changes at the molecular level that are specific to the bioavailable fraction of pollutants. The nematode Caenorhabditis elegans is ideally suited for these purposes, as (i) it can be exposed to whole sediments, and (ii) its genome is fully sequenced and widely annotated. In this pilot study we exposed C. elegans for 48 h to three sediments varying in degree of contamination with e.g. heavy metals and organic pollutants. Following the exposure period, gene expression was profiled using a whole genome DNA-microarray approach. Whole genome DNA microarray experiments were performed using a common reference design to identify differentially expressed genes in nematodes exposed to one of three river sediments of differing pollution level. Each sample consists of the 5 “biological replicates”.
2008-06-25 | E-GEOD-11837 | biostudies-arrayexpress
Project description:Despite the global importance of forests, it is virtually unknown how their soil microbial communities adapt at the phylogenetic and functional level to long term metal pollution. Studying twelve sites located along two distinct gradients of metal pollution in Southern Poland revealed that both community composition (via MiSeq Illumina sequencing of 16S rRNA genes) and functional gene potential (using GeoChip 4.2) were highly similar across the gradients despite drastically diverging metal contamination levels. Metal pollution level significantly impacted microbial community structure (p = 0.037), but not bacterial taxon richness. Metal pollution altered the relative abundance of specific bacterial taxa, including Acidobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, Firmicutes, Planctomycetes and Proteobacteria. Also, a group of metal resistance genes showed significant correlations with metal concentrations in soil, although no clear impact of metal pollution levels on overall functional diversity and structure of microbial communities was observed. While screens of phylogenetic marker genes, such as 16S rRNA, provided only limited insight into resilience mechanisms, analysis of specific functional genes, e.g. involved in metal resistance, appeared to be a more promising strategy. This study showed that the effect of metal pollution on soil microbial communities was not straightforward, but could be filtered out from natural variation and habitat factors by multivariate statistical analysis and spatial sampling involving separate pollution gradients.
2014-07-22 | GSE59620 | GEO