Metabolomics

Dataset Information

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Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry


ABSTRACT:

Alterations in cell metabolism, including changes in lipid composition occurring during malignancy, are well characterized for various tumor types. However, a significant part of studies that deal with brain tumors have been performed using cell cultures and animal models. Here, we present a dataset of 124 high-resolution negative ionization mode lipid profiles of human brain tumors resected during neurosurgery. The dataset is supplemented with 38 non-tumor pathological brain tissue samples resected during elective surgery. The change in lipid composition alterations of brain tumors enables the possibility of discriminating between malignant and healthy tissues with the implementation of ambient mass spectrometry. On the other hand, the collection of clinical samples allows the comparison of the metabolism alteration patterns in animal models or in vitro models with natural tumor samples ex vivo. The presented dataset is intended to be a data sample for bioinformaticians to test various data analysis techniques with ambient mass spectrometry profiles, or to be a source of clinically relevant data for lipidomic research in oncology.

INSTRUMENT(S): Direct infusion MS -, LTQ FT Ultra

SUBMITTER: Denis Zavorotnyuk 

PROVIDER: MTBLS1558 | MetaboLights | 2021-11-18

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS1558 Other
FILES Other
a_MTBLS1558_DI-FT_ICR-MS.txt Txt
a_MTBLS1558_DI-LTQ-MS.txt Txt
files-all.json Other
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