Vsevolod Shurkhay
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Vsevolod Shurkhay has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Aleksey S. Kononikhin
Skolkovo Institute of Science and Technology
1 shared publication - Alexander S. Vorob'EV
Russian Academy of Sciences
1 shared publication - Anatoly Sorokin
The Moscow Institute of Physics and Technology, National Research University, 141701 Dolgoprudny, Russia
1 shared publication - Denis S. Bormotov
The Moscow Institute of Physics and Technology, National Research University, 141701 Dolgoprudny, Russia
1 shared publication - Denis S. Zavorotnyuk
The Moscow Institute of Physics and Technology, National Research University, 141701 Dolgoprudny, Russia
1 shared publication - Evgeniy Nikolaevich Nikolaev
Skolkovo Institute of Science and Technology
1 shared publication
Latest Publications
- Open Access
Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry
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.
Open AccessLipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry
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.