Summary of study ST001477

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 PR001001. The data can be accessed directly via it's Project DOI: 10.21228/M89H64 This work is supported by NIH grant, U2C- DK119886.

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Study IDST001477
Study TitleLipidomics dataset of PTEN deletion-induced nerve regeneration mouse model
Study SummaryWe present the lipidome of adult PTENloxP/loxP mice subjected to intravitreal injection of adeno-associated viruses expressing Cre (AAV-Cre) as a model of regeneration. At 4-week-old, PTENloxP/loxP mice were intravitreally-injected with 2-3 μl of either AAV-Cre (KO) or AAV-PLAP (control), and two weeks later optic nerve crush was performed. At indicated time-points after crush (0 days, 7 days, 14 days), mice were euthanized and optic nerves were immediately dissected out, and then flash frozen on dry ice. The Bligh and Dyer method was used for lipid extraction, followed by mass spectrometry lipid profiling with a Q-Exactive Orbitrap Liquid Chromatography-Mass Spectrometer (LC MS-MS). The raw scans were analysed with LipidSearch 4.2 and the statistical analysis was conducted through Metaboanalyst 4.0
Institute
University of Miami
Last NameBhattacharya
First NameSanjoy
Address1638 NW 10th Avenue, Room 706-A, Miami, FL 33136
Emailsbhattacharya@med.miami.edu
Phone305-482-4103
Submit Date2020-08-31
Raw Data AvailableYes
Raw Data File Type(s).raw
Analysis Type DetailLC-MS
Release Date2020-09-10
Release Version1
Sanjoy Bhattacharya Sanjoy Bhattacharya
https://dx.doi.org/10.21228/M89H64
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Sample Preparation:

Sampleprep ID:SP001559
Sampleprep Summary:Lipids were extracted using chloroform, methanol and water mixture to obtain phase separation. Next we performed untargeted liquid chromatography Q-Exactive Orbitrap tandem mass spectrometry (LC-MS/MS) for lipid profiling. We then performed peak extraction, identification, relative quantification, and alignment using Lipid Search 4.2 software.
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