Sequential 3D OrbiSIMS and LESA-MS/MS-based metabolomics for prediction of brain tumor relapse from sample-limited primary tissue archives
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"
External URI
Subjects
- Brain -- Cancer
- Central nervous system -- Cancer
- Tissues -- Analysis
- Cancer -- Molecular aspects
- Brain Neoplasms
- Central Nervous System Neoplasms
- Ependymoma
- Tissue Array Analysis -- methods
- Microarray Analysis -- methods
- pediatric ependymoma, metabolite profiling, LESA-MS/MS, 3D OrbiSIMS, tumor biology, tissue microarray
- Biological Sciences
- Subjects Allied to Medicine
- Q Science
- W Medicine and related subjects (NLM Classification)
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
Deposit date
2021-03-26Data type
Raw and processed mass spectrometry dataContributors
- Scurr, David
- Storer, Lisa
- Grundy, Richard
- Alexander, Morgan R
- Rahman, Ruman
- Kim, Dong-Hyun
- Lourdusamy, Anbarasu
Funders
- Engineering & Physical Sciences Research Council
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 spectrometerResource languages
- en