Metabolites and fatty acid-related analytes were identified or annotated based on accurate mass, retention time, isotope labeling patterns, and comparison with available standards or reference information where applicable. Identified metabolites and analytes were used for LC-MS-based stable isotope tracing analysis.
"],"repository":["MetaboLights"],"study_status":["Public"],"ptm_modification":[""],"instrument_platform":["Liquid Chromatography MS - negative - reverse-phase","Liquid Chromatography MS - negative - hilic"],"chromatography_protocol":["Liquid chromatography was performed using an Agilent 1290 Infinity II LC system. Samples were separated using HILIC or reverse-phase chromatography depending on the metabolite class and analytical purpose. HILIC chromatography was used for polar metabolite isotope tracing, whereas reverse-phase chromatography was used for fatty acid-related isotope tracing analysis. The chromatographic separation was coupled online to high-resolution mass spectrometry.
"],"publication":["Cholesterol-free marine saponin liposomes reprogram tumor metabolism to enhance therapeutic efficacy."],"submitter_affiliation":["Ocean University of China"],"submitter_name":["xianshu wang"],"organism_part":["liver","tumor","cell"],"technology_type":["mass spectrometry assay"],"disease":[""],"extraction_protocol":["Cells or tissue samples were extracted using cold organic solvent-based extraction procedures. For polar metabolite analysis, samples were extracted using a cold methanol/acetonitrile/water solvent mixture. For fatty acid isotope tracing analysis, lipid fractions were separated and processed by hydrolysis or derivatization before LC-MS analysis. Extracts were centrifuged to remove debris, and the supernatants or processed derivatives were subjected to LC-MS analysis.
"],"organism":["Mus musculus"],"full_dataset_link":["https://www.ebi.ac.uk/metabolights/MTBLS14937"],"author":["Tiantian Zhang. College of Food Science and Engineering, Ocean University of China. zhangtiantian@ouc.edu.cn.","xianshu wang. College of Food Science and Engineering, Ocean University of China. xianshuw@163.com."],"data_transformation_protocol":["Raw LC-MS data were processed using vendor software and downstream data analysis tools. Peak detection, alignment, integration, and isotope peak extraction were performed to quantify isotopologue distributions and metabolite or fatty acid labeling patterns. Processed data were exported as tabular result files for downstream statistical analysis and data submission.
"],"study_factor":["Treatment"],"submitter_email":["xianshuw@163.com"],"sample_collection_protocol":["Cells and tissue samples were collected for LC-MS-based stable isotope tracing analysis. For cell experiments, 4T1 cells were treated under the indicated conditions and collected after isotope tracer incubation. For animal experiments, tumor and liver tissues were collected from 4T1 tumor-bearing mice after U-13C-glucose or D2O tracing. Samples were rapidly collected, frozen, and stored at -80 °C until extraction and LC-MS analysis.
"],"omics_type":["Metabolomics"],"study_design":["Mus musculus","de novo fatty acid synthesis","targeted analysis","liver","tumor tissue","liver tissue","breast cancer","6560C IMS-QTOF, Agilent Technologies","targeted metabolite profiling","stable isotope tracing","cell","Fluxomics","cell culture","tumor","Agilent 1290 Infinity II UHPLC","cholesterol","cancer"],"curator_keywords":["Mus musculus","de novo fatty acid synthesis","targeted analysis","liver","tumor tissue","liver tissue","breast cancer","6560C IMS-QTOF, Agilent Technologies","targeted metabolite profiling","stable isotope tracing","cell","Fluxomics","cell culture","tumor","Agilent 1290 Infinity II UHPLC","cholesterol","cancer"],"mass_spectrometry_protocol":["Mass spectrometry was performed using a high-resolution LC-MS system equipped with an electrospray ionization source. Data were acquired in negative ion mode for isotope tracing analysis. The scan range and instrument parameters were set according to the corresponding LC-MS acquisition method to detect isotope-labeled metabolites, lipid-derived fatty acids, and related analytes.
"],"additional_accession":[]},"is_claimable":false,"name":"LC-MS-based isotope tracing data supporting cholesterol- and EA2-regulated fatty acid synthesis and tumor metabolic remodeling","description":"This study contains LC-MS-based stable isotope tracing data investigating cholesterol- and EA2-regulated tumor metabolic remodeling. The dataset includes U-13C-glucose tracing in tumor cells and D2O tracing in animal models, supporting analysis of cholesterol-driven metabolic remodeling and the suppressive effects of EA2 on glucose utilization, de novo fatty acid synthesis, fatty acid desaturation, and lipid remodeling.","dates":{"publication":"2026-10-03","submission":"2026-07-04"},"accession":"MTBLS14937","cross_references":{}}