Summary of Study ST000075
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000054. The data can be accessed directly via it's Project DOI: 10.21228/M87G65 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST000075 |
| Study Title | Combined Metabolomics and Lipidomics of Type 1 Diabetes (QTOF) |
| Study Type | biomarker study |
| Study Summary | This West Coast Metabolomics Center pilot and feasibility project granted to Graeme Bell (University of Chicago) and collaborator Manami Hara uses a multi-omics approach to investigate the metabolome (primary metabolites), lipidome (complex lipids) and signaling lipids (oxylipins) in the plasma of Non-obese Diabetic (NOD) mice which progressed to Type 1 Diabetes Mellitus (T1D) and those that did not. NOD Mice (n=71) were assessed as diabetic or non-diabetic based on their fasting (4hr) blood glucose levels at sacrifice, which defined 30 hyperglycemic (glucose = 250 mg/dL) and 41 normoglycemic animals. The primary objective of this study was to identify candidate biomarkers associated with beta-cell destruction/survival and T1D progression. |
| Institute | University of California, Davis |
| Department | Genome and Biomedical Sciences Facility |
| Laboratory | WCMC Metabolomics Core |
| Last Name | Fiehn |
| First Name | Oliver |
| Address | 1315 Genome and Biomedical Sciences Facility 451 Health Sciences Drive Davis, CA 95616 |
| ofiehn@ucdavis.edu | |
| Phone | (530) 754-8258 |
| Submit Date | 2014-06-11 |
| Num Groups | 2 |
| Total Subjects | 71 |
| Study Comments | Lipidomics profiles for study |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Uploaded File Size | 52 G |
| Analysis Type Detail | LC-MS |
| Release Date | 2014-07-23 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR000054 |
| Project DOI: | doi: 10.21228/M87G65 |
| Project Title: | Combined Metabolomics and Lipidomics of Type 1 Diabetes |
| Project Type: | MS study |
| Project Summary: | This West Coast Metabolomics Center pilot and feasibility project granted to Graeme Bell (University of Chicago) and collaborator Manami Hara uses a multi-omics approach to investigate the metabolome (primary metabolites), lipidome (complex lipids) and signaling lipids (oxylipins) in the plasma of Non-obese Diabetic (NOD) mice which progressed to Type 1 Diabetes Mellitus (T1D) and those that did not. NOD Mice (n=71) were assessed as diabetic or non-diabetic based on their fasting (4hr) blood glucose levels at sacrifice, which defined 30 hyperglycemic (glucose = 250 mg/dL) and 41 normoglycemic animals. The primary objective of this study was to identify candidate biomarkers associated with beta-cell destruction/survival and T1D progression. |
| Institute: | University of California, Davis |
| Department: | Genome and Biomedical Sciences Facility |
| Laboratory: | WCMC Metabolomics Core |
| Last Name: | Fiehn |
| First Name: | Oliver |
| Address: | 1315 Genome and Biomedical Sciences Facility,451 Health Sciences Drive, Davis, CA 95616 |
| Email: | ofiehn@ucdavis.edu |
| Phone: | (530) 754-8258 |
| Funding Source: | NIH U24DK097154 |
Subject:
| Subject ID: | SU000094 |
| Subject Type: | Animal |
| Subject Species: | Mus musculus |
| Taxonomy ID: | 10090 |
| Species Group: | Mammals |
Factors:
Subject type: Animal; Subject species: Mus musculus (Factor headings shown in green)
| mb_sample_id | local_sample_id | Diagnosis |
|---|---|---|
| SA003890 | Inj052_Manami_56_CSHMS_6530B.d | diabetic |
| SA003891 | Inj071_Manami_57_CSHMS_6530B.d | diabetic |
| SA003892 | Inj011_Manami_55_CSHMS_6530B.d | diabetic |
| SA003893 | Inj069_Manami_60_CSHMS_6530B.d | diabetic |
| SA003894 | Inj019_Manami_53_CSHMS_6530B.d | diabetic |
| SA003895 | Inj035_Manami_54_CSHMS_6530B.d | diabetic |
| SA003896 | Inj012_Manami_73_CSHMS_6530B.d | diabetic |
| SA003897 | Inj054_Manami_4_CSHMS_6530B.d | diabetic |
| SA003898 | Inj006_Manami_76_CSHMS_6530B.d | diabetic |
| SA003899 | Inj004_Manami_52_CSHMS_6530B.d | diabetic |
| SA003900 | Inj056_Manami_67_CSHMS_6530B.d | diabetic |
| SA003901 | Inj020_Manami_62_CSHMS_6530B.d | diabetic |
| SA003902 | Inj010_Manami_63_CSHMS_6530B.d | diabetic |
| SA003903 | Inj017_Manami_13_CSHMS_6530B.d | diabetic |
| SA003904 | Inj033_Manami_17_CSHMS_6530B.d | diabetic |
| SA003905 | Inj036_Manami_19_CSHMS_6530B.d | diabetic |
| SA003906 | Inj055_Manami_12_CSHMS_6530B.d | diabetic |
| SA003907 | Inj048_Manami_10_CSHMS_6530B.d | diabetic |
| SA003908 | Inj063_Manami_6_CSHMS_6530B.d | diabetic |
| SA003909 | Inj043_Manami_49_CSHMS_6530B.d | diabetic |
| SA003910 | Inj003_Manami_7_CSHMS_6530B.d | diabetic |
| SA003911 | Inj050_Manami_20_CSHMS_6530B.d | diabetic |
| SA003912 | Inj039_Manami_15_CSHMS_6530B.d | diabetic |
| SA003913 | Inj061_Manami_36_CSHMS_6530B.d | diabetic |
| SA003914 | Inj068_Manami_37_CSHMS_6530B.d | diabetic |
| SA003915 | Inj030_Manami_47_CSHMS_6530B.d | diabetic |
| SA003916 | Inj058_Manami_32_CSHMS_6530B.d | diabetic |
| SA003917 | Inj005_Manami_40_CSHMS_6530B.d | diabetic |
| SA003918 | Inj062_Manami_25_CSHMS_6530B.d | diabetic |
| SA003919 | Inj064_Manami_30_CSHMS_6530B.d | diabetic |
| SA003920 | Inj037_Manami_46_CSHMS_6530B.d | non-diabetic |
| SA003921 | Inj049_Manami_48_CSHMS_6530B.d | non-diabetic |
| SA003922 | Inj018_Manami_50_CSHMS_6530B.d | non-diabetic |
| SA003923 | Inj066_Manami_45_CSHMS_6530B.d | non-diabetic |
| SA003924 | Inj024_Manami_43_CSHMS_6530B.d | non-diabetic |
| SA003925 | Inj007_Manami_51_CSHMS_6530B.d | non-diabetic |
| SA003926 | Inj023_Manami_41_CSHMS_6530B.d | non-diabetic |
| SA003927 | Inj060_Manami_42_CSHMS_6530B.d | non-diabetic |
| SA003928 | Inj051_Manami_44_CSHMS_6530B.d | non-diabetic |
| SA003929 | Inj041_Manami_69_CSHMS_6530B.d | non-diabetic |
| SA003930 | Inj034_Manami_66_CSHMS_6530B.d | non-diabetic |
| SA003931 | Inj067_Manami_68_CSHMS_6530B.d | non-diabetic |
| SA003932 | Inj009_Manami_39_CSHMS_6530B.d | non-diabetic |
| SA003933 | Inj070_Manami_65_CSHMS_6530B.d | non-diabetic |
| SA003934 | Inj032_Manami_64_CSHMS_6530B.d | non-diabetic |
| SA003935 | Inj008_Manami_59_CSHMS_6530B.d | non-diabetic |
| SA003936 | Inj042_Manami_61_CSHMS_6530B.d | non-diabetic |
| SA003937 | Inj045_Manami_58_CSHMS_6530B.d | non-diabetic |
| SA003938 | Inj022_Manami_14_CSHMS_6530B.d | non-diabetic |
| SA003939 | Inj053_Manami_11_CSHMS_6530B.d | non-diabetic |
| SA003940 | Inj047_Manami_16_CSHMS_6530B.d | non-diabetic |
| SA003941 | Inj027_Manami_18_CSHMS_6530B.d | non-diabetic |
| SA003942 | Inj021_Manami_21_CSHMS_6530B.d | non-diabetic |
| SA003943 | Inj031_Manami_9_CSHMS_6530B.d | non-diabetic |
| SA003944 | Inj038_Manami_8_CSHMS_6530B.d | non-diabetic |
| SA003945 | Inj057_Manami_1_CSHMS_6530B.d | non-diabetic |
| SA003946 | Inj001_Manami_2_CSHMS_6530B.d | non-diabetic |
| SA003947 | Inj044_Manami_3_CSHMS_6530B.d | non-diabetic |
| SA003948 | Inj015_Manami_5_CSHMS_6530B.d | non-diabetic |
| SA003949 | Inj014_Manami_22_CSHMS_6530B.d | non-diabetic |
| SA003950 | Inj026_Manami_23_CSHMS_6530B.d | non-diabetic |
| SA003951 | Inj016_Manami_31_CSHMS_6530B.d | non-diabetic |
| SA003952 | Inj025_Manami_33_CSHMS_6530B.d | non-diabetic |
| SA003953 | Inj029_Manami_34_CSHMS_6530B.d | non-diabetic |
| SA003954 | Inj028_Manami_35_CSHMS_6530B.d | non-diabetic |
| SA003955 | Inj013_Manami_29_CSHMS_6530B.d | non-diabetic |
| SA003956 | Inj059_Manami_28_CSHMS_6530B.d | non-diabetic |
| SA003957 | Inj046_Manami_24_CSHMS_6530B.d | non-diabetic |
| SA003958 | Inj040_Manami_26_CSHMS_6530B.d | non-diabetic |
| SA003959 | Inj002_Manami_27_CSHMS_6530B.d | non-diabetic |
| SA003960 | Inj065_Manami_38_CSHMS_6530B.d | non-diabetic |
| SA003887 | Biorec3_CSHMS_6530B.d | QC - quality check sample |
| SA003888 | Biorec4_CSHMS_6530B.d | QC - quality check sample |
| SA003889 | Biorec1_CSHMS_6530B.d | QC - quality check sample |
| Showing results 1 to 74 of 74 |
Collection:
| Collection ID: | CO000077 |
| Collection Summary: | - |
| Collection Protocol Filename: | Data_Dictionary_Fiehn_laboratory_CSH_QTOF_lipidomics.pdf |
| Sample Type: | Blood |
Treatment:
| Treatment ID: | TR000095 |
| Treatment Protocol Filename: | Data_Dictionary_Fiehn_laboratory_CSH_QTOF_lipidomics.pdf |
Sample Preparation:
| Sampleprep ID: | SP000090 |
| Sampleprep Summary: | - |
| Sampleprep Protocol Filename: | Data_Dictionary_Fiehn_laboratory_CSH_QTOF_lipidomics.pdf |
Chromatography:
| Chromatography ID: | CH000081 |
| Chromatography Summary: | UPLC |
| Methods Filename: | Data_Dictionary_Fiehn_laboratory_CSH_QTOF_lipidomics.pdf |
| Instrument Name: | Waters Acquity |
| Column Name: | Waters Acquity CSH C18 (100 x 2.1mm,1.7um) |
| Column Pressure: | 450-850 bar |
| Column Temperature: | 65 C |
| Flow Gradient: | 15% B to 99% B |
| Flow Rate: | 0.6 mL/min |
| Internal Standard: | See data dictionary |
| Retention Time: | See data dictionary |
| Sample Injection: | 1.67 uL |
| Solvent A: | 60% acetonitrile/40% water; 10mM formic acid; 10mM ammonium formate |
| Solvent B: | 90% isopropanol/10% acetonitrile; 10mM formic acid; 10mM ammonium formate |
| Analytical Time: | 13 min |
| Capillary Voltage: | 3500 |
| Time Program: | 15 min |
| Weak Wash Solvent Name: | Isopropanol |
| Weak Wash Volume: | 5 seconds |
| Strong Wash Solvent Name: | Same |
| Target Sample Temperature: | Autosampler temp 4 C |
| Randomization Order: | Excel |
| Chromatography Type: | Reversed phase |
Analysis:
| Analysis ID: | AN000119 |
| Laboratory Name: | WCMC Metabolomics Core |
| Analysis Type: | MS |
| Acquisition Time: | 15min |
| Instrument Name: | Agilent 6530 QTOF |
| Software Version: | MassHunter |
| Randomization Order: | Excel generated |
| Detector Type: | TOF MCP |
| Data Format: | .d |
| Chromatography ID: | CH000081 |
| Num Factors: | 3 |
| Num Metabolites: | 146 |
| Rt Units: | Minutes |
| Units: | Peak area |
| Analysis ID: | AN000120 |
| Analysis Type: | MS |
| Acquisition Time: | 15min |
| Instrument Name: | Agilent 6550 QTOF |
| Software Version: | MassHunter |
| Randomization Order: | Excel generated |
| Detector Type: | TOF MCP |
| Data Format: | .d |
| Chromatography ID: | CH000081 |
| Num Factors: | 3 |
| Num Metabolites: | 32 |
| Rt Units: | Minutes |
| Units: | Peak area |