Summary of Study ST002569
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 PR001656. The data can be accessed directly via it's Project DOI: 10.21228/M8ND9B This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST002569 |
Study Title | Lipidomic analysis in very-long chain acyl-CoA dehydrogenase null mice |
Study Summary | Compared to their littermate counterparts, HFD/fasted VLCAD-/- mouse hearts displayed higher VLC-acylcarnitines accumulation, higher levels of arachidonic acid (AA) and lower docosahexaenoic acid (DHA) contents in glycerophospholipids (GPLs). |
Institute | Montreal Heart Institute |
Last Name | Forest |
First Name | Anik |
Address | 5000 BĂ©langer Street |
metabolomique.icm@mhi-rc.org | |
Phone | 5143763330 ext 2133 |
Submit Date | 2023-04-11 |
Analysis Type Detail | LC-MS |
Release Date | 2023-09-06 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
Analysis ID | AN004233 |
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Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Agilent 1290 Infinity |
Column | Agilent ZORBAX Eclipse Plus C18 (100 x 2.1mm,1.8um) |
MS Type | ESI |
MS instrument type | QTOF |
MS instrument name | Agilent 6530 QTOF |
Ion Mode | POSITIVE |
Units | Counts |
MS:
MS ID: | MS003980 |
Analysis ID: | AN004233 |
Instrument Name: | Agilent 6530 QTOF |
Instrument Type: | QTOF |
MS Type: | ESI |
MS Comments: | MS data processing was achieved using the Mass Hunter Qualitative Analysis software package (version B.07) for peak picking and a bioinformatic script that we have developed and encoded in both Perl and R languages to enable optimal MS data alignment, filtering of presence, normalisation, batch effect correction, and missing data imputation. The resulting final dataset list reproducible high quality MS signals referred as features with their mass-over-charge (m/z), corrected signal intensity, and retention time (RT). Feature identity (ID) was as following: ionization mode:mass@RT. |
Ion Mode: | POSITIVE |