Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Spatio-temporal study of riverine bacteria in the Meuse river watershed

PROVIDER: PRJNA1126447 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29483500.fastq.gz	Fastqsanger.gz
	SRR29483600.fastq.gz	Fastqsanger.gz
	SRR29483501.fastq.gz	Fastqsanger.gz
	SRR29483601.fastq.gz	Fastqsanger.gz
	SRR29483502.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 191

Similar Datasets

Impact of sulfamethoxazole on a riverine microbiome

Project description:Freshwater environments such as rivers receive effluent discharges from wastewater treatment plants, representing a potential hotspot for antibiotic resistance genes (ARGs). These effluents also contain low levels of different antimicrobials including biocides and antibiotics such as sulfonamides that can be frequently detected in rivers. The impact of such exposure on ARG prevalence and microbial diversity of riverine environment is unknown, so the aim of this study was to investigate the release of a sub-lethal concentration (<4 g L-1) of the sulfonamide compound sulfamethoxazole (SMX) on the river bacterial microbiome using a microflume system. This system was a semi-natural in-vitro microflume using river water (30 L) and sediment, with circulation to mimic river flow. A combination of ‘omics’ approaches were conducted to study the impact of SMX exposure on the microbiomes within the microflumes. Metaproteomics did not show differences in ARGs expression with SMX exposure in water.

2021-07-06 | PXD023822 | Pride

Spa sulfurous water metagenomes: spatio-temporal study

Project description:Spa sulfurous water metagenomes: spatio-temporal study

| PRJEB35095 | ENA

Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2015

Project description:Here, we employed integrated chemical and biological analyses to determine how environmental mixtures affected biological responses in watersheds with different landuse. Adult male fathead minnows (Pimephales promelas) were exposed to water from different locations within the Shenandoah River watershed (VA, USA) in 2014, 2015, and 2016. The exposure locations were chosen to capture unique landuse in surrounding watersheds, including agricultural, municipal, mixed-use, and forested sites. Gene expression profiles were measured in livers of male fish exposed for 7 days using Agilent 60K custom FHM microarrays.

2019-06-01 | GSE111966 | GEO

Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2014

2019-06-01 | GSE111965 | GEO

Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2016

2019-06-01 | GSE122978 | GEO

uncultured prokaryote

Project description:Spatio-temporal dynamics of marine bacteria at Station ALOHA Targeted loci

| PRJNA349264 | ENA

Project description:Bacteria in Riverine Buffer Zone of the Yangtze River Delta

| PRJNA787414 | ENA

Project description:Lhasa and Nyang River watershed grassland soil bacteria

| PRJNA977112 | ENA

Spatial-proteomics reveals phospho-signaling dynamics at subcellular resolution

Project description:Dynamic change in subcellular localization of signaling proteins is a general concept that eukaryotic cells evolved for responding and elicit a coordinated response to stimuli. Mass spectrometry (MS)-based proteomics in combination with subcellular fractionation can provide comprehensive maps of spatio-temporal regulation of cells but this is highly challenging involving laborious workflows that do not cover the phosphoproteome level. Here we present a high-throughput workflow based on sequential cell fractionation to profile the global (phospho)proteome dynamics across six distinct subcellular fractions. We benchmarked the workflow by studying spatio-temporal EGFR phospho-signaling dynamics in-vitro in HeLa cells and in-vivo in mouse tissues. Finally, we investigated the spatio-temporal stress signaling, revealing cellular relocation of ribosomal proteins in response to hypertonicity and muscle contraction.

2021-11-18 | PXD023690 | Pride

Project description:Spatio-temporal connectivity of the aquatic microbiome associated with cyanobacterial blooms along a Great Lake riverine-lacustrine continuum

| PRJNA877648 | ENA

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data