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标题：Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry
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作者：Denis S. Zavorotnyuk ; Stanislav I. Pekov ; Anatoly A. Sorokin 等
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2021
卷号：6
期号：12
页码：1-7
DOI：10.3390/data6120132
语种：English
出版社：MDPI Publishing
摘要：Alterations in cell metabolism, including changes in lipid composition occurring duringmalignancy, are well characterized for various tumor types. However, a signiﬁcant part of studiesthat 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 braintumors resected during neurosurgery. The dataset is supplemented with 38 non-tumor pathologicalbrain tissue samples resected during elective surgery. The change in lipid composition alterationsof brain tumors enables the possibility of discriminating between malignant and healthy tissueswith the implementation of ambient mass spectrometry. On the other hand, the collection of clinicalsamples allows the comparison of the metabolism alteration patterns in animal models or in vitromodels with natural tumor samples ex vivo. The presented dataset is intended to be a data sample forbioinformaticians 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.Dataset: Is available in the MetaboLights repository. The package was prepared by means ofISACreator software and is accessible via link https://www.ebi.ac.uk/metabolights/MTBLS1558/.Dataset License: CC-BY.
关键词：mass spectrometry;metabolomics;tumor biomarkers;data processing