Metabolic networks are interconnected and influence diverse cellular processes. The protein-metabolite interactions that mediate these networks are frequently low affinity and challenging to systematically discover. We developed mass spectrometry integrated with equilibrium dialysis for the disco...
Cardiovascular adverse effects caused by high-intensity exercise (HIE) have become a public health problem of widespread concern. As a phytochemical with potential therapeutic effects, the therapeutic effect and metabolic regulation mechanism of myricetin have rarely been studied. In this study, ...
Members of the Omp85 superfamily of outer membrane proteins (OMPs) found in Gram-negative bacteria, mitochondria and chloroplasts are characterized by a distinctive 16-stranded β-barrel transmembrane domain and at least one periplasmic POTRA domain. All previously studied Omp85 proteins promote c...
Background: Triple-negative breast cancer (TNBC) urgently needs effective therapies due to limited targeted options and unfavorable outcomes. We investigated Trichosanthes kirilowii Maxim formula granules (TKM) using integrated network pharmacology, metabolomics, and molecular pharmacology to cla...
Objective: The leaves of Malus hupehensis (MH) are a medicinal and edible traditional Chinese medicine (TCM) with good liver protection, although its underlying mechanism remains unclear. In this study, a network pharmacology-integrated multi-omics method was used to explore the hepatoprotective ...
The Unfolded Protein Response (UPR) is a retrograde, ER-to-nucleus, signalling pathway which is conserved across kingdoms. In plants, it contributes to development, reproduction, immunity and tolerance to abiotic stress. This lipidomic dataset was produced from Arabidopsis thaliana mature seeds. ...
Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...
Large-scale metabolite annotation is a challenge in liquid chromatogram-mass spectrometry (LC-MS)-based untargeted metabolomics. Here, we develop a metabolic reaction network (MRN)-based recursive algorithm (MetDNA) that expands metabolite annotations without the need for a comprehensive standard...