Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: soil samples from different soil layers

PROVIDER: PRJNA477724 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7421970_1.fastq.gz	Fastqsanger.gz
	SRR7421970_2.fastq.gz	Fastqsanger.gz
	SRR7421980_1.fastq.gz	Fastqsanger.gz
	SRR7421980_2.fastq.gz	Fastqsanger.gz
	SRR7421990_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 120

Similar Datasets

Project description:Study on soil fungi in different soil layers of agroforestry system

| PRJNA1108612 | ENA

Classifier analysis of gene expression profiles reveals a discriminatory gene set for soil containing different metals

Project description:Environmental pollution is a worldwide problem, and metals are the largest group of contaminants in soil. Microarray toxicogenomic studies with ecologically relevant organisms such as springtails, supplement traditional ecotoxicological research, but are presently rather descriptive. Classifier analysis, a more analytical application of the microarray technique, is able to predict biological classes of unknown samples. We used the uncorrelated shrunken centroid (USC) method to classify gene expression profiles of the springtail Folsomia candida exposed to soil spiked with six different metals (barium, cadmium, cobalt, chromium, lead, and zinc). We identified a gene set (classifier) of 188 genes that can discriminate between six different metals present in soil, which allowed us to predict the correct classes for samples of an independent test set with an accuracy of 83% (error rate = 0.17). This study shows further that in order to apply classifier analysis to actual contaminated field soil samples, more insight and information is needed on the transcriptional responses of soil organisms to different soil types (properties) and mixtures of contaminants.

2010-02-05 | GSE19353 | GEO

Multi-omics toxicity profiling of engineered nanomaterials

Project description:This study aims to implement methods for toxicological profiling of engineered nanomaterials using toxicogenomics, proteomics, and metabolomics along with computational analyses. For all three omics layers the human cell lines A549 (lung epithelial cells) and THP1 (monocytes) were separately exposed to the nanomaterials TiO2 NM104, MWNCT NM401, and Ag NM300k. Proteomics and metabolomics samples have been performed as biological triplicates and were taken after 0, 6, 12, 24, and 48 hours. To assess ecotoxic effects C. elegans worms were grown in soil treated with NM300k. Ecotox samples were taken only at 0 and 24 hours. Integrating all three omics layers will enable the identification of (novel) ENM specific modes of action (MoA).

2016-07-25 | PXD002401 | Pride

Beibu gulf different layers of seawawter and sediment samples

Project description:Beibu gulf different layers of seawawter and sediment samples Raw sequence reads

| PRJNA1029771 | ENA

Real-time quantitative PCR analysis of apple roots and leaves after ARD infection

Project description:Root and leave samples of 4 different apple genotypes were investigated in order to analyse the gene expression after infection with Apple Replant Disease (ARD). All genotypes were cultivated in ARD-infected soil and gamma-irradiated (disinfected) soil in the greenhouse for 7 days. The ARD soil originated from two different orchards representing two different soil compositions. After 7 days root tissue was collected from each plant and used for the subsequent gene expression analysis. This work was part of the project BonaRes-ORDIAmur funded by the German Federal Ministry of Research and Education within the frame of the program BonaRes (grant no. 031B0025B). It was also funded by the German Research Foundation (DFG) via the research training group GRK1798 "Signaling at the Plant-Soil Interface" and a grant to BL and LB (BE 1174/19-1).

2019-12-09 | GSE135081 | GEO

Interactive effects of depth and differential irrigation on soil microbiome composition and functioning_PNNLSoilsSFA_Naylor

Project description:GCMS datasets for the soil depth manuscript Abstract Two factors that are well-known to influence soil microbiomes include the depth of the soil as well as the level of moisture. Previous works have demonstrated that climate change will increase the incidence of drought in soils, but it is unknown how fluctuations in moisture availability affect soil microbiome composition and functioning down the depth profile. Here, we investigated soil and wheatgrass rhizosphere microbiomes in a common field setting under four different irrigation regimes and three depths. We demonstrated that there is a significant interactive effect, where fluctuations in soil moisture more strongly influence soil microbiomes at the surface layer than in deeper layers, including for soil community composition, diversity, and for functional profiles. Meanwhile, in rhizosphere communities the influence of irrigation was similar across the different depths, although there were slight discrepancies between the two cultivars of wheatgrass used. The lessened response of deeper soil microbiomes to changes in irrigation may be due to higher incidence of slow-growing, stress-resistant microbes.

2022-11-07 | MSV000090655 | MassIVE

Microbial samples of control in different soli layers for ITS

Project description:Microbial samples of control in different soli layers for ITS Raw sequence reads

| PRJNA1116999 | ENA

Microbial diversity of an uncontaminated and a 2,4,6-TNT contaminated soil sample with CodeLink microarrays

Project description:Comparison of probe-target dissociations of probe Eub338 and Gam42a with native RNA of P. putida, in vitro transcribed 16s rRNA of P. putida, in vitro transcribed 16S rRNA of a 2,4,6-trinitrotoluene contaminated soil and an uncontaminated soil sample. Functional ANOVA revealed no significant differences in the dissociation curves of probe Eub338 when hybridised to the different samples. On the opposite, the dissociation curve of probe Gam42a with native RNA of P. putida was significantly different than the dissociation curves obtained with in vitro transcribed 16S rRNA samples. Keywords: Microbial diversity, thermal dissociation analysis, CodeLink microarray

2005-11-05 | GSE3525 | GEO

Soil Metatranscriptome

Project description:Metatranscriptome of soil samples from different soil types in different seasons

| PRJEB8096 | ENA

Proteomics studies of outer and inner cellular layers of tomato root-tips for Al stress

Project description:Excess levels of Al3+ become highly harmful to plant roots. The epidermal and outer cortical layers of root-tips experience more severe damages than the inner tissues from Al toxicity. This project used laser capture microdissection (LCM) technology to isolate the outer and inner cell layers of cells in root-tips. Tomato "MicroTom" plants were grown in hydroponic solution supplemented with Al. Seeds derived from plants previously exposed to four generations of Al-treated solutions were considered stress-acclimated, these seeds were named G4Al+. Seeds harvested from soil-grown plants were also used, these seeds were named G0 seeds. Tandem mass tag (TMT) proteomics was used to identify differential proteomics responses among cells localized at different spaces in root-tips and those between the stress-acclimated and non-acclimated plants.

2022-02-14 | PXD021994 | Pride

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