{"id":4122,"date":"2023-05-25T20:20:56","date_gmt":"2023-05-25T20:20:56","guid":{"rendered":"http:\/\/www.geneethic.com.tr\/?page_id=4122"},"modified":"2024-11-02T07:47:58","modified_gmt":"2024-11-02T07:47:58","slug":"hml1600","status":"publish","type":"page","link":"https:\/\/www.geneethic.com.tr\/?page_id=4122","title":{"rendered":"High-throughput targeted metabolomics HML1600"},"content":{"rendered":"[vc_row et_full_width=”true” et_row_padding=”true” css=”.vc_custom_1579113527778{padding-top: 120px !important;padding-bottom: 60px !important;background-color: #f6f6f6 !important;}”][vc_column css=”.vc_custom_1684760689814{background-color: #f6f6f6 !important;}”][vc_row_inner][vc_column_inner animation=”animation bottom-to-top”]\t
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Service Description<\/h4>\n

BGI provides one of the world\u2019s most comprehensive panels for targeted metabolomics research. The HML1600 performs high throughput targeted metabolomics detection and analysis by liquid chromatography-tandem mass spectrometry (LC-MS\/MS) quantitative analytical technique for more than 1,600 lipids of 12 subclasses by the method of combining standard curves with internal standard, covering all kinds of lipids with important biological functions. HML1600 is used for nervous system disease research, cardiovascular and cerebrovascular disease research, nutritional metabolism research, lipid metabolism research, and other fields.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row et_full_width=”true” et_row_padding=”true” css=”.vc_custom_1579113590633{padding-top: 60px !important;background-color: #f6f6f6 !important;}”][vc_column][vc_row_inner et_column_align=”align-center” content_placement=”middle”][vc_column_inner width=”1\/2″ animation=”animation bottom-to-top” offset=”vc_col-lg-6″][vc_column_text css=”.vc_custom_1730532682668{margin-bottom: 0px !important;}”]\n

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Mass Spectrometry Service Specification<\/h3>\n
HML1600 high-throughput targeted metabolomics services are performed using Waters ACQUITY UPLC and SCIEX QTRAP 5500.<\/div>\n
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Sample Preparation and Services<\/h4>\n
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Custom-developed UPLC-MRM\/MS methods combine isotope internal standard technology<\/p>\n

Metabolomics quantification using standard curves and internal standards with exceptional accuracy and precision<\/p>\n

Using LC-MS (SCIEX QTRAP 5500) to increase the scope of detection<\/p>\n

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Quality Standard<\/h4>\n
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Summary includes all methods and data analysis<\/p>\n

Reports provided in Excel or PDF format<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Turn Around Time<\/h4>\n
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Typical 5-7 weeks after sample receipt<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″ animation=”animation bottom-to-top”][vc_column_text css=”.vc_custom_1730533676431{margin-bottom: 0px !important;}”]\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Category<\/td>\nMain Class<\/td>\nSub Class<\/td>\nNumber of\u00a0 Metabolites<\/td>\nRepresentative Lipids<\/td>\n<\/tr>\n
Glycerophospholipids
\n(GP)<\/td>\n		P-Choline<\/td>\nPhosphatidylcholine(PC)<\/td>\n~211<\/td>\nPC 16:0-16:0, PC 16:0-16:1,
\nPC 16:0-18:0<\/td>\n<\/tr>\n
Lysophosphatidylcholine (LPC)<\/td>\n~24<\/td>\nLPC 14:0, LPC 15:0,
\nLPC 16:0, LPC 16:1, LPC 17:0<\/td>\n<\/tr>\n
P-Glycerol<\/td>\nPhosphatidylglycerol (PG)<\/td>\n~211<\/td>\nPG 16:0-16:0, PG 16:0-16:1,
\nPG 16:0-18:0<\/td>\n<\/tr>\n
P-Inositol<\/td>\nPhosphatidylinositol (PI)<\/td>\n~210<\/td>\nPI 16:0-16:0, PI 16:0-16:1,
\nPI 16:0-18:0, PI 16:0-18:1<\/td>\n<\/tr>\n
P-Serine<\/td>\nPhosphatidylserine (PS)<\/td>\n~204<\/td>\nPS 16:0-16:0, PS 16:0-16:1,
\nPS 16:0-18:3, PS 16:0-18:4<\/td>\n<\/tr>\n
P-Ethanol
\nAmine<\/td>\n		Phosphatidylethanolamine (PE)<\/td>\n~207<\/td>\nPE 16:0-16:0, PE 16:0-16:1,
\nPE 16:0-18:0, PE 16:0-18:1<\/td>\n<\/tr>\n
Lysophosphatidylethanolamine (LPE)<\/td>\n~24<\/td>\nLPE 14:0, LPE 15:0, LPE 16:0,
\nLPE 16:1, LPE 17:0<\/td>\n<\/tr>\n
Glycerolipids
\n(GL)<\/td>\n		Diradylglycerols<\/td>\nDiacylglycerol (DAG)<\/td>\n~49<\/td>\nDAG 16:0-16:0, DAG 16:0-16:1,
\nDAG 16:0-18:0<\/td>\n<\/tr>\n
Triacylglycerols<\/td>\nTriacylglycerol (TAG)<\/td>\n~464<\/td>\nTAG 42:0-FA12:0,
\nTAG 42:0-FA14:0,
\nTAG 42:0-FA16:0<\/td>\n<\/tr>\n
Sterol Lipids
\n(ST)<\/td>\n		Sterols<\/td>\nCholesterol Ester (CE)<\/td>\n~26<\/td>\nCE 12:0, CE 14:0, CE 14:1,
\nCE 15:0, CE 16:0<\/td>\n<\/tr>\n
Sphingolipids
\n(SP)<\/td>\n		Ceramides<\/td>\nCeramides (CER)<\/td>\n~13<\/td>\nCer d18:1\/14:0, Cer d18:1\/16:0,
\nCer d18:1\/16:1<\/td>\n<\/tr>\n
Sphingolipids<\/td>\nSphingomyelin (SM)<\/td>\n~57<\/td>\nSM 34:0, SM 35:0<\/td>\n<\/tr>\n
Total<\/td>\n1600+<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner]\t\t
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