The raw data were imported into the metabolomics analysis software Progenesis QI v3.0 (Waters Corporation, Milford, USA) for baseline filtering, peak identification, integration, retention time correction, peak alignment, and other processes, ultimately yielding a data matrix containing information such as retention time, mass-to-charge ratio, and peak intensity. Subsequently, the software was used to identify characteristic peaks by searching databases, matching MS and MS/MS mass spectrometry data against metabolite databases. The MS mass error was set to less than 10 ppm, and metabolites were identified based on secondary mass spectrometry match scores.
"],"repository":["MetaboLights"],"study_status":["Public"],"ptm_modification":[""],"instrument_platform":["Liquid Chromatography MS - negative - reverse-phase","Liquid Chromatography MS - positive - reverse-phase"],"chromatography_protocol":["The chromatographic column was an ACQUITY UPLCH SST3 (100 mm × 2.1 mm i.d., 1.8 µm; Waters, Milford, USA); mobile phase A consisted of 95% water + 5% acetonitrile (containing 0.1% formic acid), and mobile phase B consisted of 47.5% acetonitrile + 47.5% isopropanol + 5% water (containing 0.1% formic acid); the flow rate was 0.40 mL/min, the injection volume was 10 µL, and the column temperature was 45°C.
"],"publication":["Untargeted Metabolomics Study of Cur-EGCG Self-Assembled Nanoparticle Systems in Intervening WSSV Infection in Crayfish."],"submitter_name":["Aiguo Huang"],"submitter_affiliation":["School of Marine Sciences, Guangxi University"],"organism_part":["intestine"],"technology_type":["mass spectrometry assay"],"disease":[""],"extraction_protocol":["1. Accurately weigh 50 ± 5 mg of sample into a 2-mL centrifuge tube and add one 6-mm-diameter grinding bead;
2. Add 400 µL of extraction solution (methanol:water = 4:1 (v:v)), containing four internal standards (L-2-chlorophenylalanine (0.02 mg/mL), etc.);
3. Grind in a frozen tissue grinder for 6 minutes (-10°C, 50 Hz);
4. Perform low-temperature ultrasonic extraction for 30 minutes (5°C, 40 kHz);
5. Allow the sample to stand at -20°C for 30 minutes;
6. Centrifuge for 15 min (13,000 g, 4°C), then transfer the supernatant to a sample vial with an insert tube for analysis;
7. Additionally, transfer 20 µL of supernatant from each sample, mix them together, and use this mixture as a quality control sample.
"],"organism":["Procambarus clarkii"],"full_dataset_link":["https://www.ebi.ac.uk/metabolights/MTBLS15908"],"author":["Aiguo Huang. School of Marine Sciences, Guangxi University. aiguo_200891@126.com.","Luo Songlin. School of Marine Sciences, Guangxi University. luosonglin0528@163.com."],"data_transformation_protocol":["The data were processed using the metabolomics software Progenesis QI v3.0 (Waters Corporation, Milford, USA) for peak extraction, alignment, and identification, among other steps. This resulted in a data matrix containing retention times, peak areas, mass-to-charge ratios, and identification information, which was used for subsequent processing and bioinformatics analysis.
"],"study_factor":["WSSV/nanoparticles"],"submitter_email":["aiguo_200891@126.com"],"sample_collection_protocol":["The crayfish used in the experiment were temporarily reared in the laboratory. The crayfish were randomly divided into two groups: the WSSV-infected group and the CE SA-treated group. The WSSV group was injected with an equal volume of white spot syndrome virus (WSSV) inoculum, while the CE SA group was injected with an equal volume of CE SA solution following the WSSV injection. At predetermined time points after injection, the animals were rapidly dissected on ice to collect intestinal tissue; the samples were immediately placed in liquid nitrogen for rapid freezing, then transferred to a −80°C ultra-low temperature freezer for storage pending metabolite extraction.
"],"omics_type":["Metabolomics"],"study_design":["UHPLC-Triple TOF 6600","Metabolomics","intestine","untargeted analysis","WSSV","Procambarus clarkii","Self-Assembled Nanoparticle","AB SCIEX TripleTOF 6600","experimental sample"],"curator_keywords":["UHPLC-Triple TOF 6600","Metabolomics","intestine","untargeted analysis","WSSV","Procambarus clarkii","Self-Assembled Nanoparticle","AB SCIEX TripleTOF 6600","experimental sample"],"mass_spectrometry_protocol":["The sample was ionized by electrospray, and mass spectrometry signals were acquired using both positive and negative ion scan modes.
Scan type 50–1200 m/z; Ion Source Gas 1 50 psi; Ion Source Gas 2 50 psi; Curtain Gas 35 psi; Source Temperature 500°C; Ion Spray Voltage (Floating, +) 5500 V; Ion Spray Voltage (Floating, -) -4500 V; Interface Heater on; Declustering Potential 80 V; Collision Energy 40 ± 20 eV
"],"additional_accession":[]},"is_claimable":false,"name":"Untargeted Metabolomics Study of Cur-EGCG Self-Assembled Nanoparticle Systems in Intervening WSSV Infection in Crayfish","description":"This study employed Untargeted LC-MS/MS metabolomics to analyze changes in the metabolic profile of crayfish following WSSV infection after intervention with the Cur-EGCG self-assembled nanoscale system (CE SA). The experiment included WSSV and CE SA treatment groups. Through multivariate statistical analysis, screening for differentially expressed metabolites, and metabolic pathway analysis, changes in the metabolic profiles of crayfish under different treatment conditions were compared. The study aims to elucidate the characteristics of host metabolic remodeling following CE SA intervention in WSSV infection and to identify key differentially expressed metabolites and metabolic pathways associated with viral infection and CE SA intervention, thereby providing a metabolomic basis for further research into the anti-WSSV effects of CE SA and its potential biological mechanisms.","dates":{"publication":"2026-10-04","submission":"2026-10-04"},"accession":"MTBLS15908","cross_references":{}}