{
"METABOLOMICS WORKBENCH":{"STUDY_ID":"ST002555","ANALYSIS_ID":"AN004208","VERSION":"1","CREATED_ON":"02-08-2024"},

"PROJECT":{"PROJECT_TITLE":"Ethnicity-Specific Differences in Ovarian Cancer Metabolic Signatures","PROJECT_TYPE":"Cell line analysis","PROJECT_SUMMARY":"Ovarian cancer is a leading cause of cancer-related deaths among women worldwide. Cancer cell metabolism plays a critical role in tumor growth and progression, and metabolic alterations in cancer cells have been implicated in treatment resistance. In this study, we performed metabolomic analysis using ovarian cancer cells derived from patients in the United States and Korea. Our results reveal significant ethnic-specific differences in the metabolic signatures of ovarian cancer cells, with differential regulation of metabolites derived from glycolytic pathways, lipid metabolism, and microbiome modified metabolites. These findings have important therapeutic implications, as differences in ovarian cancer metabolism between ethnic groups may influence treatment response and resistance. Targeting the unique metabolic signatures of ovarian cancer cells based on ethnic specificity may improve the effectiveness of precision medicine approaches in the treatment of ovarian cancer. This study highlights the potential for personalized and targeted therapeutic options based on the tumor metabolome and ethnic background of the patient. Overall, our results suggest that investigating ethnic-specific differences in cancer metabolism is critical for developing effective and personalized cancer therapies. The identification of unique metabolic signatures in ovarian cancer cells based on ethnic specificity provides a promising avenue for improving treatment outcomes and advancing the field of precision medicine in ovarian cancer.","INSTITUTE":"University of Oklahoma Health Sciences Center","DEPARTMENT":"Cell Biology","LABORATORY":"Danny N Dhanasekaran","LAST_NAME":"Jayaraman","FIRST_NAME":"Muralidharan","ADDRESS":"975 NE 10th street BRC1468 Oklahoma City OK 73104","EMAIL":"Muralidharan-Jayaraman@ouhsc.edu","PHONE":"405-271-8001 x30492","DOI":"http://dx.doi.org/10.21228/M8T413","CONTRIBUTORS":"Danny N. Dhanasekaran, Jihee Ha, Yong Sang Song"},

"STUDY":{"STUDY_TITLE":"Ethnicity-Specific Differences in Ovarian Cancer Metabolic Signatures","STUDY_TYPE":"Cultured cells","STUDY_SUMMARY":"Ovarian cancer is a leading cause of cancer-related deaths among women worldwide. Cancer cell metabolism plays a critical role in tumor growth and progression, and metabolic alterations in cancer cells have been implicated in treatment resistance. In this study, we performed metabolomic analysis using ovarian cancer cells derived from patients in the United States and Korea. Our results reveal significant ethnic-specific differences in the metabolic signatures of ovarian cancer cells, with differential regulation of metabolites derived from glycolytic pathways, lipid metabolism, and microbiome modified metabolites. These findings have important therapeutic implications, as differences in ovarian cancer metabolism between ethnic groups may influence treatment response and resistance. Targeting the unique metabolic signatures of ovarian cancer cells based on ethnic specificity may improve the effectiveness of precision medicine approaches in the treatment of ovarian cancer. This study highlights the potential for personalized and targeted therapeutic options based on the tumor metabolome and ethnic background of the patient. Overall, our results suggest that investigating ethnic-specific differences in cancer metabolism is critical for developing effective and personalized cancer therapies. The identification of unique metabolic signatures in ovarian cancer cells based on ethnic specificity provides a promising avenue for improving treatment outcomes and advancing the field of precision medicine in ovarian cancer.","INSTITUTE":"University of Oklahoma Health Sciences Center","DEPARTMENT":"Cell Biology","LABORATORY":"Danny N. Dhanasekaran","LAST_NAME":"Jayaraman","FIRST_NAME":"Muralidharan","ADDRESS":"975 NE 10th street BRC1468 Oklahoma City OK 73104","EMAIL":"Muralidharan-Jayaraman@ouhsc.edu","PHONE":"405-271-8001 x30492","SUBMIT_DATE":"2023-03-03"},

"SUBJECT":{"SUBJECT_TYPE":"Cultured cells","SUBJECT_SPECIES":"Homo sapiens","TAXONOMY_ID":"9606","GENDER":"Female","CELL_BIOSOURCE_OR_SUPPLIER":"SNU3297 and SNU3298, and patient-derived ovarian cancer cells, A#5, A#8, A#39 were from Seoul National University, Seoul, South Korea. Patient-derived ovarian cancer cells, ASC110515, ASC102315, ASC061616, ASC060915, ASC062915B and ASC011215 were from Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.","CELL_PASSAGE_NUMBER":"3 to 5","CELL_COUNTS":"20 million cells"},
"SUBJECT_SAMPLE_FACTORS":[
{
"Subject ID":"FTE188",
"Sample ID":"OUHSCPD-1",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"SNU3298",
"Sample ID":"OUHSCPD-10",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"SNU3298",
"Sample ID":"OUHSCPD-11",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"SNU3298",
"Sample ID":"OUHSCPD-12",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"FTE188",
"Sample ID":"OUHSCPD-2",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"FTE188",
"Sample ID":"OUHSCPD-3",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"FTE188",
"Sample ID":"OUHSCPD-4",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"SNU3297",
"Sample ID":"OUHSCPD-5",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"SNU3297",
"Sample ID":"OUHSCPD-6",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"SNU3297",
"Sample ID":"OUHSCPD-7",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"SNU3297",
"Sample ID":"OUHSCPD-8",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"SNU3298",
"Sample ID":"OUHSCPD-9",
"Factors":{"Genotype":"FTE (Normal)"}
},
{
"Subject ID":"ASC110515",
"Sample ID":"OUHSCPD-13",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC110515",
"Sample ID":"OUHSCPD-14",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC110515",
"Sample ID":"OUHSCPD-15",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC110515",
"Sample ID":"OUHSCPD-16",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC102315",
"Sample ID":"OUHSCPD-17",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC102315",
"Sample ID":"OUHSCPD-18",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC102315",
"Sample ID":"OUHSCPD-19",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC102315",
"Sample ID":"OUHSCPD-20",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC061616",
"Sample ID":"OUHSCPD-21",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC061616",
"Sample ID":"OUHSCPD-22",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC061616",
"Sample ID":"OUHSCPD-23",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC061616",
"Sample ID":"OUHSCPD-24",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC060915",
"Sample ID":"OUHSCPD-25",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC060915",
"Sample ID":"OUHSCPD-26",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC060915",
"Sample ID":"OUHSCPD-27",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC060915",
"Sample ID":"OUHSCPD-28",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC062915B",
"Sample ID":"OUHSCPD-29",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC062915B",
"Sample ID":"OUHSCPD-30",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC062915B",
"Sample ID":"OUHSCPD-31",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC062915B",
"Sample ID":"OUHSCPD-32",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC011215",
"Sample ID":"OUHSCPD-33",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC011215",
"Sample ID":"OUHSCPD-34",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC011215",
"Sample ID":"OUHSCPD-35",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"ASC011215",
"Sample ID":"OUHSCPD-36",
"Factors":{"Genotype":"SCC-PDOCC (Cancer)"}
},
{
"Subject ID":"A#5",
"Sample ID":"OUHSCPD-37",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#5",
"Sample ID":"OUHSCPD-38",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#5",
"Sample ID":"OUHSCPD-39",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#5",
"Sample ID":"OUHSCPD-40",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#8",
"Sample ID":"OUHSCPD-41",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#8",
"Sample ID":"OUHSCPD-42",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#8",
"Sample ID":"OUHSCPD-43",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#8",
"Sample ID":"OUHSCPD-44",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#39",
"Sample ID":"OUHSCPD-45",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#39",
"Sample ID":"OUHSCPD-46",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#39",
"Sample ID":"OUHSCPD-47",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
},
{
"Subject ID":"A#39",
"Sample ID":"OUHSCPD-48",
"Factors":{"Genotype":"SNU-PDOCC (Cancer)"}
}
],
"COLLECTION":{"COLLECTION_SUMMARY":"Immortalized normal fallopian-tube-derived epithelial (FTE) cells, FTE188 were maintained in MCDB105: M199 (1:1) medium (Thermo Fisher Scientific, Waltham, MA), SNU3297 and SNU3298 were maintained in DMEM/F12 medium (Thermo Fisher Scientific, Waltham, MA). Patient-derived ovarian cancer cells isolated at Stephenson Cancer Center (SCC-PDOCC), ASC110515, ASC102315, ASC061616, ASC060915, ASC062915B and ASC011215, were maintained in MCDB105: DMEM (1:1) medium (Thermo Fisher Scientific, Waltham, MA). Patient-derived ovarian cancer cells isolated from Seoul National University (SNU-PDOCC), A#5, A#8, A#39 were maintained in DMEM/F12 medium. All cells were maintained at 37°C in a 5% CO2 incubator. All media were supplemented with 10% FBS (Gemini Bio-Products, West Sacramento, CA), 50 U/mL penicillin, 50 μg/ml streptomycin (Cellgro, Manassas, VA). Cells were grown to 20 million cells and washed with cold PBS. Cells were collected by scraping them off the plates.","SAMPLE_TYPE":"Cultured cells","STORAGE_CONDITIONS":"-80℃"},

"TREATMENT":{"TREATMENT_SUMMARY":"No treatment was done."},

"SAMPLEPREP":{"SAMPLEPREP_SUMMARY":"Samples were prepared using the automated MicroLab STAR® system from Hamilton Company. Several recovery standards were added prior to the first step in the extraction process for QC purposes. In order to dissociate small molecules bound to or trapped in proteins, lysate was precipitated with methanol under vigorous shaking for 2 min (Glen Mills GenoGrinder 2000) followed by centrifugation. The resulting extract was divided into five fractions: two for analysis by two separate reverse phase (RP)/UPLC-MS/MS methods with positive ion mode electrospray ionization (ESI), one for analysis by RP/UPLC-MS/MS with negative ion mode ESI, one for analysis by HILIC/UPLC-MS/MS with negative ion mode ESI, and one sample was reserved for backup. Samples were placed briefly on a TurboVap® (Zymark) to remove the organic solvent. The sample extracts were stored overnight under nitrogen before preparation for analysis."},

"CHROMATOGRAPHY":{"CHROMATOGRAPHY_SUMMARY":"Low pH Lipophilic (Metabolon). All methods utilized a Waters ACQUITY ultra-performance liquid chromatography (UPLC) and a Thermo Scientific Q-Exactive high resolution/accurate mass spectrometer interfaced with a heated electrospray ionization (HESI-II) source and Orbitrap mass analyzer operated at 35,000 mass resolution. The sample extract was dried then reconstituted in solvents compatible to each of the four methods. Each reconstitution solvent contained a series of standards at fixed concentrations to ensure injection and chromatographic consistency. One aliquot was analyzed using acidic positive ion conditions, chromatographically optimized for more hydrophilic compounds. In this method, the extract was gradient eluted from a C18 column (Waters UPLC BEH C18-2.1x100 mm, 1.7 µm) using water and methanol, containing 0.05% perfluoropentanoic acid (PFPA) and 0.1% formic acid (FA). Another aliquot was also analyzed using acidic positive ion conditions, however it was chromatographically optimized for more hydrophobic compounds. In this method, the extract was gradient eluted from the same afore mentioned C18 column using methanol, acetonitrile, water, 0.05% PFPA and 0.01% FA and was operated at an overall higher organic content. Another aliquot was analyzed using basic negative ion optimized conditions using a separate dedicated C18 column. The basic extracts were gradient eluted from the column using methanol and water, however with 6.5mM Ammonium Bicarbonate at pH 8. The fourth aliquot was analyzed via negative ionization following elution from a HILIC column (Waters UPLC BEH Amide 2.1x150 mm, 1.7 µm) using a gradient consisting of water and acetonitrile with 10mM Ammonium Formate, pH 10.8. The MS analysis alternated between MS and data-dependent MSn scans using dynamic exclusion. The scan range varied slighted between methods but covered 70-1000 m/z. Raw data files are archived and extracted as described below.","INSTRUMENT_NAME":"Waters Acquity","COLUMN_NAME":"Waters Acquity BEH C18 (100 x 2mm, 1.7um)","COLUMN_TEMPERATURE":"50","FLOW_GRADIENT":"Linear gradient from 5% B to 80% B over 3.35 minutes.","FLOW_RATE":"0.35 mL/min","SOLVENT_A":"0.1% formic acid and 0.05% PFPA in water, pH ~2.5","SOLVENT_B":"0.1% formic acid and 0.05% PFPA in 50% methanol/50% acetonitrile, pH ~2.5","CHROMATOGRAPHY_TYPE":"Reversed phase"},

"ANALYSIS":{"ANALYSIS_TYPE":"MS"},

"MS":{"INSTRUMENT_NAME":"Thermo Q Exactive Orbitrap","INSTRUMENT_TYPE":"Orbitrap","MS_TYPE":"ESI","MS_COMMENTS":"A detailed description of data processing including chromatographic alignment, QC practices, and compound identification has been described previously (PMID: 19624122, 20955607, 30242936). Missing values, if any, were imputed with the minimum observed value for each compound and the resulting data was median scaled.","ION_MODE":"POSITIVE"}

}