Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gnps stage 1 molecular network training

ABSTRACT: analyze the lc-ms raw data with molecular networking using gnps

INSTRUMENT(S): lc-ms

ORGANISM(S): Camellia Sinensis

SUBMITTER: ling

PROVIDER: MSV000096464 | MassIVE | Mon Nov 18 23:38:00 GMT 2024

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

GNPs Testing Samples Groups by BSN

Project description:Testing GNPs from raw data samples Nudibranchia and Achantostrongylophora.

2021-10-24 | MSV000088261 | MassIVE

GNPS_SIRIUS_FBMN_Yinghuangia_positive

Project description:Global Natural Products Social Molecular Networking (GNPS) platform with SIRIUS and Feature-Based Molecular Networking (FBMN) to analyze metabolites associated with the bacterial genus Yinghuangia under positive ionization mode.

2025-01-30 | MSV000096998 | GNPS

Comparison between Nestin+ and Nestin- Ptch1 deficient GNPs

Project description:The intermediate filament protein Nestin serves as a biomarker for stem cells and has been used to identify subsets of cancer stem-like cells. However, the mechanistic contributions of Nestin to cancer pathogenesis are not understood. Here we report that Nestin binds the hedgehog pathway transcription factor Gli3 to mediate the development of medulloblastomas of the hedgehog subtype. In a mouse model system, Nestin levels increased progressively during medulloblastoma formation resulting in enhanced tumor growth. Conversely, loss of Nestin dramatically inhibited proliferation and promoted differentiation. Mechanistic investigations revealed that the tumor-promoting effects of Nestin were mediated by binding to Gli3, a zinc finger transcription factor that negatively regulates hedgehog signaling. Nestin binding to Gli3 blocked Gli3 phosphorylation and its subsequent proteolytic processing, thereby abrogating its ability to negatively regulate the hedgehog pathway. Our findings show how Nestin drives hedgehog pathway-driven cancers and uncover in Gli3 a therapeutic target to treat these malignancies. Nestin+ and Nestin- GNPs (granule neuron precursors) were purified from Nestin-CFP/Math1-Cre/Ptch1-loxp cerebella at postnatal day 4 by FACs, and total RNA from these two cell populations were extracted, and then labeled and hybridized to Affymetrix Mouse Genome 430 2.0 arrays.

2016-08-09 | E-GEOD-84392 | biostudies-arrayexpress

Determining secondary metabolite profile of Ilyonectria spp. pathogenic to ginseng root

Project description:This experiment aims to ascertain a profile of secondary metabolites produced by Ilyonectria species capable of causing disappearing root rot in ginseng. Ilyonectria isolates were grown on potato dextrose agar for 20 days, then plugs were taken from the cultures and extracted with ethyl acetate. Extracts were analyzed by LC-HRMS and tandem HRMS. Data were analyzed by Principal component analysis and molecular networking with GNPS.

2019-12-16 | ST001293 | MetabolomicsWorkbench

Non-targeted screening of natural products from 288 fungal endophytes from Canadian fruit crops

Project description:Fungal endophytes often live in symbiotic relationships with various plant hosts, conferring positive effects to their host organism. These endophytes frequently produce a wide variety of secondary metabolites with bioactivities that are often responsible for the beneficial effects seen in the host, such as antifungal or anti-insectan activity. A large group of fungal endophytes isolated from Canadian fruit crops including blueberries, raspberries, cranberries, grapes, and pears, was analyzed using molecular networking by GNPS in an effort to simplify the process of examining a large dataset. Molecular networking increased the speed and efficiency of examining this dataset, permitting the dereplication of 60 known compounds and the discovery of seven putative novel compounds, which will be purified, characterized, and tested for bioactivity in future studies.

2022-01-06 | ST002482 | MetabolomicsWorkbench

Feature-based molecular networking in the GNPS analysis environment.

Project description:Molecular networking has become a key method to visualize and annotate the chemical space in non-targeted mass spectrometry data. We present feature-based molecular networking (FBMN) as an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools. FBMN enables quantitative analysis and resolution of isomers, including from ion mobility spectrometry.

| S-EPMC7885687 | biostudies-literature

TBRC13601_positive_diffmedia_GNPS_SCBmedium

2025-01-30 | MSV000097010 | GNPS

TBRC13601_positive_diffmedia_GNPS_ISP2medium

2025-01-30 | MSV000097008 | GNPS

TBRC13601_positive_diffmedia_GNPS_ISP4medium

2025-01-30 | MSV000097009 | GNPS

TBRC13601_positive_diffmedia_GNPS_A1medium

2025-01-30 | MSV000097007 | GNPS