• Sequential 3D OrbiSIMS and LES...

Treffer: Sequential 3D OrbiSIMS and LESA-MS/MS-based metabolomics for prediction of brain tumor relapse from sample-limited primary tissue archives

Title:
Sequential 3D OrbiSIMS and LESA-MS/MS-based metabolomics for prediction of brain tumor relapse from sample-limited primary tissue archives
Authors:
Meurs, Joris
Contributors:
Scurr, David, Storer, Lisa, Grundy, Richard, Alexander, Morgan R, Rahman, Ruman, Kim, Dong-Hyun, Lourdusamy, Anbarasu
Publisher Information:
The University of Nottingham
Publication Year:
2021
Collection:
Nottingham Research Data Management Repository (University of Nottingham)
Subject Terms:
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)
Document Type:
dataset
Language:
English
Relation:
https://rdmc.nottingham.ac.uk/handle/internal/8596; http://doi.org/10.17639/nott.7062
DOI:
10.17639/nott.7062
Availability:
https://rdmc.nottingham.ac.uk/handle/internal/8596
https://doi.org/10.17639/nott.7062
Rights:
CC-BY ; https://creativecommons.org/licenses/by/4.0/
Accession Number:
edsbas.60842771
Database:
BASE

Weitere Informationen

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"