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

Author

Listed:
  • 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
    Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L69 7ZX, UK)

  • 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
    Emanuel Institute of Biochemical Physics, Russian Academy of Science, 119334 Moscow, Russia)

  • Konstantin V. Bocharov

    (Moscow Institute of Physics and Technology, 141701 Moscow, Russia
    V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Center of Chemical Physics, Russian Academy of Sciences, 119334 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
    N.N. Burdenko National Scientific and Practical Center for Neurosurgery, 125047 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
    National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov, Healthcare of Russian Federation, 117997 Moscow, Russia)

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.

Suggested Citation

  • 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 &, 2021. "Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry," Data, MDPI, vol. 6(12), pages 1-7, December.
    • Handle: RePEc:gam:jdataj:v:6:y:2021:i:12:p:132-:d:700686
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    Cited by:

    1. Denis S. Zavorotnyuk & Anatoly A. Sorokin & Stanislav I. Pekov & Denis S. Bormotov & Vasiliy A. Eliferov & Konstantin V. Bocharov & Eugene N. Nikolaev & Igor A. Popov, 2023. "Shapley Value as a Quality Control for Mass Spectra of Human Glioblastoma Tissues," Data, MDPI, vol. 8(1), pages 1-9, January.

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