Data descriptor 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, Igor A. Popov

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Article number132
JournalData
Volume6
Issue number12
DOIs
Publication statusPublished - Dec 2021

Keywords

  • Data processing
  • Mass spectrometry
  • Metabolomics
  • Tumor biomarkers

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