Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS - waste water treatment plant - stir bar sorptive extractions

ABSTRACT: Stir bar sorptive extractions of waste water treatment plant samples analysed in positive and negative mode LC-MS/MS DDA

INSTRUMENT(S): QE

ORGANISM(S): None

SUBMITTER: Jeffrey Hawkes

PROVIDER: MSV000090554 | GNPS | Wed Oct 19 05:45:00 BST 2022

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

waste water treatment plant - stir bar sorptive extractions

Project description:Stir bar sorptive extractions of waste water treatment plant samples analysed in positive and negative mode LC-MS/MS DDA

2022-10-19 | MSV000090554 | MassIVE

Metaproteome of the waste water treatment plant Gerwisch/Germany

Project description:In this study the impact of protein fractionation techniques prior to LC/MS analysis was investigated on activated sludge samples derived at winter and summer condition from a full-scale wastewater treatment plant (WWTP). For reduction of the sample complexity, different fractionation techniques including RP-LC (1D-approach), SDS-PAGE and RP-LC (2D-approach) as well as RP-LC, SDS-PAGE and liquid IEF (3D-approach) were carried out before subsequent ITMS analysis. The derived spectra were identified by MASCOT search using a combination of the public UniProtKB/Swiss-Prot protein database and metagenome data from a WWTP (data are available via ProteomeXchange with identifier PXD001547). The results showed a significant increase of identified spectra, enabled by applying IEF and SDS-PAGE to the proteomic workflow. Based on meta-proteins, a core metaproteome and the corresponding taxonomic profile of the wastewater activated sludge was revealed and functional aspects using the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway library were analyzed. Hereby, the KEGG Orthology identifiers (KO numbers) of protein hits were plotted into pathway maps of the central carbon (map01200) and nitrogen metabolism (map00910). Using the 3D-approach, most proteins involved in glycolysis and citrate cycle and nearly all proteins of the nitrogen removal were identified, qualifying this approach as the most promising for future studies.

2015-07-28 | PXD001547 | Pride

Waste water treatment plant epicPCR

Project description:Host range of antibiotic resistance genes in wastewater treatment plant influent and effluent

| PRJEB23695 | ENA

solid waste treatment microorganism

Project description:solid waste treatment microorganism Raw sequence reads

| PRJNA565849 | ENA

Waste water

Project description:Waste water Metagenome

| PRJNA690084 | ENA

Waste water

Project description:Waste water Raw sequence reads

| PRJNA471020 | ENA

waste water metagenome

Project description:waste water metagenome Raw sequence reads

| PRJNA505566 | ENA

Waste water Metagenomes

Project description:Waste water Metagenomes Raw sequence reads

| PRJNA824944 | ENA

treatment g-butyrobetaine wt col.0-Effect of carnitine on the transcriptome of A. thaliana

Project description:rs07-01_carnitine - treatment g-butyrobetaine wt col.0 - Effect of carnitine on the transcriptome of A. thaliana - Seedlings WT are growing in a independent way on media MS. After seven days of culture, seedling are harvested and a pull is formed from the three prelevements. Extractions of RNA will be realised on this pull. We proceed in a identical way for the test sample. Seedlings are cultivated on media MS containing butyrobétaïne 1 mM. After seven days, seedlings are harvested and extractions of RNA will be realised on this second pull. All this experiment is repeated one more time independently. Keywords: treated vs untreated comparison

2009-02-18 | GSE10677 | GEO

Waste water Bacteriophages

Project description:Isolation and characterization of Bacteriophages from waste water

| PRJEB19234 | ENA