A5048838973- Microbial Natural Products and Biosynthesis
- Molecular Biology Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Microbial Metabolism and Applications
- Fungal Biology and Applications
- Consumer Behavior in Brand Consumption and Identification
- Gene expression and cancer classification
- Traditional Chinese Medicine Analysis
- Traditional Chinese Medicine Studies
- Plant Pathogens and Fungal Diseases
- Plant biochemistry and biosynthesis
- Customer Service Quality and Loyalty
- Genetics, Bioinformatics, and Biomedical Research
- Biological Stains and Phytochemicals
- Natural product bioactivities and synthesis
- Radiomics and Machine Learning in Medical Imaging
- Plant Disease Resistance and Genetics
- Food Quality and Safety Studies
- Cell Image Analysis Techniques
- Potato Plant Research
- Ferroptosis and cancer prognosis
- Consumer Perception and Purchasing Behavior
- Spectroscopy and Chemometric Analyses
Sookmyung Women's University
2021-2024
Understanding the distribution of hundreds thousands plant metabolites across kingdom presents a challenge. To address this, we curated publicly available LC-MS/MS data from 19,075 extracts and developed plantMASST reference database encompassing 246 botanical families, 1,469 genera, 2,793 species. This taxonomically focused facilitates exploration plant-derived molecules using tandem mass spectrometry (MS/MS) spectra. tool will aid in drug discovery, biosynthesis, (chemo)taxonomy,...
Traditional East Asian medicine not only serves as a potential source of drug discovery, but also plays an important role in the healthcare systems Korea, China, and Japan. Tandem mass spectrometry (MS/MS)-based untargeted metabolomics is key methodology for high-throughput analysis complex chemical compositions medicinal plants used traditional medicine. This Data Descriptor documents deposition to public repository re-analyzable raw LC-MS/MS dataset 337 listed Korean Pharmacopeia, addition...
Biological species collections are critical for natural product drug discovery programs. However, prioritization of target in massive remains difficult. Here, we introduce an untargeted metabolomics-based workflow that uses MS/MS molecular networking to estimate scaffold-level distribution. As a demonstration, applied the 40 polyporoid fungal species. Nine were prioritized as candidates based on chemical structural and compositional similarity (CSCS) metric. Most selected showed relatively...
Wood-decaying fungi are the major decomposers of plant litter. Heavy sequencing efforts on genomes wood-decaying have recently been made due to interest in their lignocellulolytic enzymes; however, most parts proteomes remain uncharted. We hypothesized that would possess promiscuous enzymes for detoxifying antifungal phytochemicals remaining dead bodies, which can be useful biocatalysts. designed a computational mass spectrometry–based untargeted metabolomics pipeline phenotyping...
본 연구에서는 도라지의 품종 구분 및 유전적 다양성 분석에 활용될 수 있는 분자표지 개발을 위하여 RAPD 마커를 활용하여 분석하였으며, 동시에 actin유전자 염기서열에서 유래한 분자표지를 제작하였다. 총 30개의 활용한 분석을 진행하였으나, 재현성과 안정성이 확보된 DNA 상의 다형성은 확보할 없었다. 이에, 도라지 actin (Pg-actin) 유전자에 존재하는 Single Nucleotide Polymorphism (SNP)을 이용하여 간 구분에 활용 가능한 분자마커로의 전환을 탐색하였다. genomic DNA에 유래 유전자를 사용하여 2개의 homologs를 확보하였으며, 이를 염기서열 분석하여 3.4 kb의 Pg-actin fragment와 Pg-actin과 28.6%의 유사도를 가진 1.4 homologue를 획득하였다. 획득된 Pg-actin은 4개의 exon과 3개의 intron으로 구성된 유전자로, 다형성 탐색을 통해 intron 3의 286 bp 위치에서...
Abstract The heterogeneity of cancers limits the reproducibility target-biomarker relationships in diverse cohorts or sample groups. Here, we carried out consensus analyses associated data pairs to improve consistency (reproducibility) prognostic power biomarkers and anticancer efficacy targets. All RNA expression, patient survival, CRIRSPR/shRNA screening were integrated from TCGA, GDSC CCLE datasets. While >90% expression found given sets not reproduced (i.e., significant) other...