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

Denis S. Zavorotnyuk, Stanislav I. Pekov, Anatoly A. Sorokin, Denis S. Bormotov, Nikita Levin, Evgeny Zhvansky, Savva Semenov, Polina Strelnikova, Konstantin V. Bocharov, Alexander Vorobiev, Alexey Kononikhin, Vsevolod Shurkhay, Eugene N. Nikolaev and Igor A. Popov
Additional contact information
Denis S. Zavorotnyuk: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Stanislav I. Pekov: Skolkovo Institute of Science and Technology, 121205 Moscow, Russia
Anatoly A. Sorokin: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Denis S. Bormotov: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Nikita Levin: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Evgeny Zhvansky: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Savva Semenov: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Polina Strelnikova: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Konstantin V. Bocharov: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Alexander Vorobiev: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Alexey Kononikhin: Skolkovo Institute of Science and Technology, 121205 Moscow, Russia
Vsevolod Shurkhay: Moscow Institute of Physics and Technology, 141701 Moscow, Russia
Eugene N. Nikolaev: Skolkovo Institute of Science and Technology, 121205 Moscow, Russia
Igor A. Popov: Moscow Institute of Physics and Technology, 141701 Moscow, Russia

Data, 2021, vol. 6, issue 12, 1-7

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.

Keywords: mass spectrometry; metabolomics; tumor biomarkers; data processing (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2306-5729/6/12/132/pdf (application/pdf)
https://www.mdpi.com/2306-5729/6/12/132/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:6:y:2021:i:12:p:132-:d:700686

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().