Sequential 3D OrbiSIMS and LESA-MS/MS-based metabolomics for prediction of brain tumor relapse from sample-limited primary tissue archives
Publication Date
March 26, 2021
Creators
Description
Raw and processed data used for the publication entitled "Predicting tumor relapse from serial in situ surface mass spectrometry metabolite profiles of pediatric brain tumor tissue microarrays"
Subjects
Subjects (JACS)
Subjects (LC)
Divisions
University of Nottingham, UK Campus::Faculty of Science::School of Pharmacy
University of Nottingham, UK Campus::Faculty of Medicine and Health Sciences::School of Medicine
Data type
Raw and processed mass spectrometry data
Grant Number
EP/N006615/1
Data collection method
3D OrbiSIMS data was collected using a hybrid TOFSIMS 5 instrument coupled to a Q Exactive HF mass spectrometer. LESA-MS/MS data was collected using a TriVersa Nanomate coupled to a Q Exactive plus mass spectrometer
Resource languages
English
Publisher
The University of Nottingham
Date Issued
March 26, 2021
Except where otherwise noted, this item's license is described as
File(s)![Thumbnail Image]()
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Name
OrbiSIMS_Total_Area_Data.zip
Size
156.41 MB
Format
Unknown
Checksum (MD5)
87e84161702175c23e5d12e0eda09ca1
Name
Intensity_Comparison.zip
Size
294 MB
Format
Unknown
Checksum (MD5)
b216115bbb3a2c78d9a694a1e8322c5a