Summary of study ST001290

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR000872. The data can be accessed directly via it's Project DOI: 10.21228/M8ZT30 This work is supported by NIH grant, U2C- DK119886.


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.

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Study IDST001290
Study TitleLipidome Signatures of Metastasis in a Transgenic Mouse Model of Sonic Hedgehog Medulloblastoma.
Study TypeUntargeted metabolomics
Study SummaryMetabolic alternations were investigated by applying Ultra Performance Liquid Chromatography Mass Spectrometry (UPLC-MS) to mice brain tissue samples collected from SmoA1-Math-GFP mice with (n=18) and without (n=7) metastasis. All samples were analyzed using reverse phase (RP) UPLC-MS analysis in positive and negative ion modes.
Georgia Institute of Technology
Last NameHuang
First NameDanning
Address901 Atlantic Dr NE
Submit Date2019-12-13
Num Groups2
Total Subjects25
Num Males5
Num Females20
Raw Data AvailableYes
Raw Data File Type(s).raw
Analysis Type DetailLC-MS
Release Date2020-12-16
Release Version1
Danning Huang Danning Huang application/zip

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Project ID:PR000872
Project DOI:doi: 10.21228/M8ZT30
Project Title:Lipidome Signatures of Metastasis in a Transgenic Mouse Model of Sonic Hedgehog Medulloblastoma.
Project Type:Untargeted metabolomics
Project Summary:Medulloblastoma (MB), the most common malignant pediatric brain tumor, has high propensity to metastasize. Currently, the standard treatment for MB patients includes radiation therapy administered to the entire brain and spine for the purpose of treating or preventing against metastasis. Due to this aggressive treatment, the majority of long-term survivors will be left with permanent and debilitating neurocognitive impairments and, for the 30-40% patients that fail to respond to radiation, all will relapse with terminal metastatic disease. An understanding of the underlying biology that drives MB metastasis is lacking, and is critically needed in order to develop targeted therapeutics for its prevention. To examine the metastatic biology of sonic hedgehog (SHH) MB, the human MB subgroup with the worst clinical outcome, we first generated a robust SmoA1-Math-GFP mouse model that reliably reproduces human SHH MB whereby metastases can be visualized under fluorescence microscopy. Lipidome alterations associated with metastasis were then investigated by applying Ultra-Performance Liquid Chromatography Mass Spectrometry (UPLC-MS) under both positive and negative ionization modes to primary tumor samples collected from mice with (n=18) and without (n=7) metastasis. This study provides the first insights into dysregulations of lipid metabolism associated with SHH MB metastatic progression, and thus serves as a guide toward novel targeted therapies.
Institute:Georgia Institute of Technology
Last Name:Huang
First Name:Danning
Address:901 Atlantic Dr NE, Atlanta, GA, 30332, USA