Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS - Metabolomics in mice serum T_Suzuki Protocol 1

ABSTRACT: Quantification of corticosterone, glutamic acid, 9 kynurenic acid and GABA.

INSTRUMENT(S): impact II

ORGANISM(S): Mus Sp. (ncbitaxon:10095)

SUBMITTER: Ruth Ley

PROVIDER: MSV000097923 | GNPS | Tue May 20 02:28:00 BST 2025

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Metabolomics in mice serum T_Suzuki Protocol 1

Project description:Quantification of corticosterone, glutamic acid, 9 kynurenic acid and GABA.

2025-05-20 | MSV000097923 | MassIVE

Metabolomics in mice serum T_Suzuki Protocol 2

Project description:Quantification of indolelactic acid (ILA), indoxyl sulfate, indole-3-propionic acid, cortisol, tryptophan, thyroxine (T4), kynurenine and serotonin

2025-05-20 | MSV000097925 | MassIVE

Test Metabolomics set

Project description:Twenty metabolites across 6 studies, with 6 groups of experimental subjects

2008-06-21 | E-TABM-289 | biostudies-arrayexpress

Project description:glutamic acid addition

| PRJNA1059744 | ENA

Quick-start infrastructure for untargeted metabolomics analysis in GNPS.

Project description: Not available

| S-EPMC8705952 | biostudies-literature

Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment.

Project description:Molecular networking connects mass spectra of molecules based on the similarity of their fragmentation patterns. However, during ionization, molecules commonly form multiple ion species with different fragmentation behavior. As a result, the fragmentation spectra of these ion species often remain unconnected in tandem mass spectrometry-based molecular networks, leading to redundant and disconnected sub-networks of the same compound classes. To overcome this bottleneck, we develop Ion Identity Molecular Networking (IIMN) that integrates chromatographic peak shape correlation analysis into molecular networks to connect and collapse different ion species of the same molecule. The new feature relationships improve network connectivity for structurally related molecules, can be used to reveal unknown ion-ligand complexes, enhance annotation within molecular networks, and facilitate the expansion of spectral reference libraries. IIMN is integrated into various open source feature finding tools and the GNPS environment. Moreover, IIMN-based spectral libraries with a broad coverage of ion species are publicly available.

| S-EPMC8219731 | biostudies-literature

Project description:L-Glutamic acid stimulates Apostichopus japonicus

| PRJNA990486 | ENA

Tomato endophytic microbial community shifting by L-glutamic acid

Project description:tomato community shifting by glutamic acid

| PRJEB61093 | ENA

Serum Metabolomics Data Access Committee

Project description:Data Access Committee EGAC00001001645

| EGAC00001001645 | EGA

Effective wound healing on diabetic mice by adhesive antibacterial GNPs-lysine composited hydrogel.

Project description:Current trends in wound care research focus on creating dressings for diverse wound types, aiming to effectively control the wound healing process. We proposed a wound dressing composed of oxidized hyaluronic acid and amine gelatin with embedded lysine-modified gelatin nanoparticles (HGel-GNPs-lysine). This dressing improves mechanical properties and reduces degradation rates. The storage modulus for HGel-GNPs-lysine was 3,800 Pa, exceeding that of HGel (1,750 Pa). The positively charged surface of GNPs-lysine effectively eliminated Escherichia coli and Staphylococcus aureus. In a diabetic mice model (C57BL/6), HGel-GNPs-lysine immobilized with basic-fibroblast growth factor promoted granulation tissue thickness and collagen density. Gene expression analysis indicated that HGel-GNPs-lysine reduced inflammation and enhanced angiogenesis. This study highlights that HGel-GNPs-lysine could offer alternative treatment strategies for regulating the inflammatory response at the injury site in wound dressing applications.

| S-EPMC10838728 | biostudies-literature

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