Non-Targeted Metabolomics
Metabolomics ServiceCF-MPC offers non-targeted metabolomics based on liquid chromatography coupled with high-resolution tandem mass spectrometry (LC-HRMS/ MS). The assays aim to reliably identify and profile small molecule biomarkers characteristic of a particular physiological state in response to internal or external perturbations. To cover broad metabolic classes, different chromatographic separation techniques are implemented, i.e., reversed-phase (RP) LC separation technique to detect semi- to non-polar metabolites (e.g., non-polar amino acids, bile acids, fatty acids, acylcarnitines) and hydrophilic interaction liquid chromatography (HILIC) separation technique to cover polar metabolites (e.g., polar amino acids, biogenic amines, and organic acids).
Data are acquired on a Sciex ZenoTOF 7600 HRMS/MS coupled to a Sciex ExionLC AD for the RP separation and Sciex ZenoTOF 7600 HRMS/MS coupled to an Agilent 1290 Infinity II BioLC for the HILIC method. The MS analysis alternated between MS and MS/MS scans using data-dependent acquisition (DDA) mode to generate data for semiquantitative profiling (MS) and metabolite annotation and identification (MS/MS). Automated sample preparation is performed using a Hamilton Microlab Star liquid handling robot.
Each LC-HRMS/MS data must pass an initial QC assessment before processing data. After passing initial QC, data is subjected to data process using Softwaremzmine 4.5.0. for feature detection, including peak picking, alignment etc., metabolite annotation, and identification. Annotation can be performed against an in-house and external database and using in silico annotation tools such as Sirius with CSI:FingerID. Metabolite annotations are coherent with the latest standards in the field, e.g. stated by the Metabolomics Standard Initiative.
- Types of biological matrices: biological fluids (including plasma, serum, urine), tissues (including liver, muscle, white and brown adipose, kidney, heart, lung, brain), fecal, cell culture
- Minimum amount of sample required: Biological liquid sample: minimum of 150 µL, preferably more. Tissue and feces samples: 30 - 50 mg, Cell samples: ~ 1 million cells/mL lysate
- Species tested: human
- Type of data provided: list of annotated (known) and unknown metabolites including their m/z values, retention time and ion counts data
We use the iLab Core Management system to book services by internal and external users.
CF-MPC offers non-targeted metabolomics based on liquid chromatography coupled with high-resolution tandem mass spectrometry (LC-HRMS/ MS). The assays aim to reliably identify and profile small molecule biomarkers characteristic of a particular physiological state in response to internal or external perturbations. To cover broad metabolic classes, different chromatographic separation techniques are implemented, i.e., reversed-phase (RP) LC separation technique to detect semi- to non-polar metabolites (e.g., non-polar amino acids, bile acids, fatty acids, acylcarnitines) and hydrophilic interaction liquid chromatography (HILIC) separation technique to cover polar metabolites (e.g., polar amino acids, biogenic amines, and organic acids).
Data are acquired on a Sciex ZenoTOF 7600 HRMS/MS coupled to a Sciex ExionLC AD for the RP separation and Sciex ZenoTOF 7600 HRMS/MS coupled to an Agilent 1290 Infinity II BioLC for the HILIC method. The MS analysis alternated between MS and MS/MS scans using data-dependent acquisition (DDA) mode to generate data for semiquantitative profiling (MS) and metabolite annotation and identification (MS/MS). Automated sample preparation is performed using a Hamilton Microlab Star liquid handling robot.
Each LC-HRMS/MS data must pass an initial QC assessment before processing data. After passing initial QC, data is subjected to data process using Software mzmine 4.5.0. for feature detection, including peak picking, alignment etc., metabolite annotation, and identification. Annotation can be performed against an in-house and external database and using in silico annotation tools such as Sirius with CSI:FingerID. Metabolite annotations are coherent with the latest standards in the field, e.g. stated by the Metabolomics Standard Initiative.
- Types of biological matrices: biological fluids (including plasma, serum, urine), tissues (including liver, muscle, white and brown adipose, kidney, heart, lung, brain), fecal, cell culture
- Minimum amount of sample required: Biological liquid sample: minimum of 150 µL, preferably more. Tissue and feces samples: 30 - 50 mg, Cell samples: ~ 1 million cells/mL lysate
- Species tested: human
- Type of data provided: list of annotated (known) and unknown metabolites including their m/z values, retention time and ion counts data
We use the iLab Core Management system to book services by internal and external users.
