Proteomics

Dataset Information

0

In-depth analysis of molecular network based on liquid chromatography coupled with tandem mass spectrometry in natural products: importance of redundant nodes discovery


ABSTRACT: This dataset is used for the research work entitled "In-depth analysis of molecular network based on liquid chromatography coupled with tandem mass spectrometry in natural products: importance of redundant nodes discovery". It mainly consists of two parts: Discovery of redundant nodes and Reasons of redundant nodes. The Discovery of redundant nodes section includes MS/MS data of five different natural products with distinct compound structures, namely Ginseng Radix et Rhizoma (GR): GR-neg, Epimedii Folium (EF): EF-neg, Salviae Miltiorrhizae Radix et Rhizoma (SM): SM-neg, Bufonis Venenum (BV): BV-pos, and Aconiti Lateralis Radix Praeparata (AL): AL-pos. The Reasons of redundant nodes section includes MS/MS data of GR and EF at different sample concentrations, as well as BV at different mass spectrometry parameters, such as 1-fold, 2-fold, and 10-fold dilution of GR samples (GR-1x dilution, GR-2x dilution, GR-10x dilution), 1-fold, 2-fold, and 10-fold dilution of EF samples (EF-1x dilution, EF-2x dilution, and EF-10x dilution), BV at different capillary voltages (BV-capillary-1500V-(1-6), BV-capillary-1750V-(1-6), BV-capillary-2000V-(1-6), BV-capillary-2250V-(1-6), and BV-capillary-2500V-(1-6)), BV at different sample cone voltages (BV-SC-10V-(1-6), BV-SC-20V-(1-6), BV-SC-30V-(1-6), BV-SC-40V-(1-6), and BV-SC-50V-(1-6)), and BV at different desolvation temperatures (BV-DT-300-(1-6), BV-DT-400-(1-6), and BV-DT-500-(1-6)).

INSTRUMENT(S): SYNAPT G2-Si

ORGANISM(S): Aconiti Lateralis Radix Praeparata Ginseng Radix Et Rhizoma Salviae Miltiorrhizae Radix Et Rhizoma Bufonis Venenum Epimedii Folium

SUBMITTER: Yuhao Zhang  

PROVIDER: MSV000094404 | MassIVE | Mon Mar 25 23:15:00 GMT 2024

REPOSITORIES: MassIVE

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-03-25 | MSV000094404 | GNPS
2023-11-27 | MSV000093516 | MassIVE
2014-08-31 | GSE58056 | GEO
2014-08-31 | E-GEOD-58056 | biostudies-arrayexpress
2011-09-09 | GSE32001 | GEO
2014-11-18 | E-GEOD-63360 | biostudies-arrayexpress
2017-09-29 | GSE99887 | GEO
2019-07-03 | GSE133746 | GEO
| PRJNA579528 | ENA
2022-05-18 | GSE190756 | GEO