Polina Strelnikova

Research advisor: Professor Evgeny Nikolaev
Program entry year: 2022
Graduated from MIPT, Department of Biological and Medical Physics in 2022
Research project: development of blood plasma protein panel for Alzheimer`s disease diagnostics using quantitative mass-spectrometry
Research interests: mass-spectrometry, proteomics, neurodegenerative disorders

Publications:

• A.A. Kuzin, G.S. Stupnikova, P.A. Strelnikova, K.V. Danichkina, M.I. Indeykina, S.I. Pekov, I.A. Popov. Quantitative Assessment of Serine-8 Phosphorylated β-Amyloid Using MALDI-TOF Mass Spectrometry. Molecules,27(23):8406 2022
• A.E. Bugrova, P.A. Strelnikova, M.I. Indeykina et al. The Dynamics of β-amyloid Proteoforms Accumulation in the Brain of a 5xFAD Mouse Model of Alzheimer’s disease. International Journal of Molecular Sciences, 23(1), 2022
• N.V. Zakharova, A.S. Kononikhin, M.I. Indeykina, A.E. Bugrova, P. Strelnikova et al. Mass spectrometric studies of the variety of beta-amyloid proteoforms in Alzheimer’s disease. Mass Spectrometry Reviews, 2022
• A.S. Kononikhin, N.V. Zakharova, S.D. Semenov, A.E. Bugrova, A.G Brzhozovskiy, M.I. Indeykina, Y.B. Fedorova, I.V. Kolykhalov, P.A. Strelnikova et al. Prognosis of Alzheimer’s Disease Using Quantitative Mass Spectrometry of Human Blood Plasma Proteins and Machine Learning. International Journal of Molecular Sciences, 23(14), 2022
• A.D. Vasilieva, L.V. Yurina, D.Y. Azarova, V.S. Ivanov, P.A. Strelnikova et al. Development of a Diagnostic Approach Based on the Detection of Post-Translation Modifications of Fibrinogen Associated with Oxidative Stress by the Method of High Efficiency Liquid Chromatography. Russian Journal of Physical Chemistry B, 16(1):118–122, 2022
•  D.E. Zavorotnyuk, S.I. Pekov, A.A. Sorokin, D.S. Bormotov, N. Levin, E. Zhvansky, S. Semenov, P. Strelnikova et al. Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry. Data, 6(12), 2021
• N. Zakharova, A. Kozyr, A.M. Ryabokon, M. Indeykina, P. Strelnikova et al. Mass spectrometry based proteome profiling of the exhaled breath condensate for lung cancer biomarkers search. Expert Review of Proteomics, 18(8):637– 642, 2021