Project description:Sophora flavescens (Kushen) is a traditional medicinal plant widely used in East Asia for its anti-inflammatory, antimicrobial, and antitumor properties. Its pharmacological activities are mainly attributed to diverse secondary metabolites, including alkaloids, flavonoids, and phenolic compounds. However, the metabolic differences between distinct tissues remain incompletely characterized.In this study, an untargeted metabolomics approach based on liquid chromatography–mass spectrometry (LC–MS) was employed to comprehensively profile the metabolic composition of Sophora flavescens. Root and stem tissues were collected and analyzed to investigate tissue-specific metabolic variations. Metabolite extraction was performed using organic solvent-based protocols, followed by high-resolution LC–MS analysis in both positive and negative ionization modes.Multivariate statistical analyses, including principal component analysis (PCA) and differential abundance analysis, were applied to evaluate metabolic differences between tissues. Differentially accumulated metabolites were further annotated and mapped to KEGG pathways to elucidate the biological processes and metabolic pathways underlying tissue-specific metabolite distribution.This dataset provides a valuable resource for understanding the metabolic basis of bioactive compound accumulation in Sophora flavescens and supports further studies on medicinal plant metabolomics, functional metabolism, and natural product discovery.

2026-02-03 | MTBLS13830 | MetaboLights

GeoChip data of soil microbial communities in the maize rhizosphere and bulk soils

Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.

2014-09-12 | E-GEOD-61338 | biostudies-arrayexpress

GeoChip data of soil microbial communities in the maize rhizosphere and bulk soils

2014-12-10 | E-MTAB-2920 | biostudies-arrayexpress