Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1175263 | ENA |
REPOSITORIES: ENA
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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:Metaproteomic data for Rodriguez-Ramos, et al. interrogating microbial and viral communities of hyporheic river sediments within the Columbia River. Samples were digested with trypsin, and analyzed by LC-MS/MS. Data was searched with MS-GF+ using PNNL's DMS Processing pipeline.
2021-04-28 | MSV000087330 | MassIVE
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.
2008-06-25 | GSE11837 | GEO
Project description:Escaped domesticated individuals can introduce disadvantageous traits into wild populations due to both adaptive differences between population ancestors and human-induced changes during domestication. In contrast to their domesticated counterparts, some endangered wild Atlantic salmon populations encounter during their marine stage large amounts of suspended sediments, which may act as a selective agent. We used microarrays to elucidate quantitative transcriptional differences between a domesticated salmon strain, a wild population and their first-generation hybrids during their marine life stage, to describe transcriptional responses to natural suspended sediments, and to test for adaptive genetic variation in plasticity relating to a history of natural exposure or nonexposure to suspended sediments. We identified 67 genes differing in transcription level among salmon groups. Among these genes, processes related to energy metabolism and ion homoeostasis were over-represented, while genes contributing to immunity and actin-/myosin-related processes were also involved in strain differentiation. DomesticM-bM-^@M-^Swild hybrids exhibited intermediate transcription patterns relative to their parents for two-thirds of all genes that differed between their parents; however, genes deviating from additivity tended to have similar levels to those expressed by the wild parent. Sediments induced increases in transcription levels of eight genes, some of which are known to contribute to external or intracellular damage mitigation. Although genetic variation in plasticity did not differ significantly between groups after correcting for multiple comparisons, two genes (metallothionein and glutathione reductase) tended to be more plastic in response to suspended sediments in wild and hybrid salmon, and merit further examination as candidate genes under natural selection. Salmon of three genotypes (strains: 1. wild (Stewiacke River salmon), 2. domesticated (Saint John River salmon), and 3. first generation hybrids between the two strains, were exposed to two environments (treatment: 1. suspended sediments, 2. control: clear water), using eight biological replicates (individuals) of each of the six experimental groups, summing up to 48 individuals, each individual has two technical replicates , each technical replicate has been labelled with a different dye, each technical replicate appears on a different array, dye swaps are equilibrated for arrays that combine individuals from different genotypes and for arrays that combine individuals from the same genotype but different environments. Technical replicates of individuals always appear once on arrays that compare between environments and once on arrays that compare among genotypes. In total there are 48 arrays.
2012-04-22 | E-GEOD-30555 | biostudies-arrayexpress
Project description:The microarrays experiments was performed with the purpose of identify transcriptional networks activated by copper. This experiment correspond the work tituled Enterococcus faecalis reconfigure the activation of its transcriptional regulatory networks under different copper exposure levels (work in preparation).Mauricio Latorrea,b, Jessica Galloway-Peñac,d,e, Jung Hyeo Rhoc,d, Marko Budinichf, Barbara E. Murrayc,d,e, Alejandro Maassb,f, Mauricio Gonzáleza,b,f*. a INTA, Laboratorio de Bioinformática y Expresión Génica, INTA, Universidad de Chile, Santiago, Chile. b Center for Genome Regulation (Fondap 15090007), University of Chile, Santiago, Chile. c Division of Infectious Disease, Department of Medicine, University of Texas Medical School, Houston, Texas, United States of America. d Center for the Study of Emerging and Reemerging Pathogens, University of Texas Medical School, Houston, Texas, United States of America. e Department of Microbiology and Molecular Genetics, University of Texas Medical School, Houston, Texas, United States of America f Mathomics, Center for Mathematical Modeling (UMI2807CNRS), Santiago, Chile. * Corresponding author. Address: El Líbano 5524, Santiago 11, Chile. Fax: +56 (2) 2214030.
2013-11-12 | GSE45131 | GEO