Olga V. Bogatova

ORCID: 0000-0003-4363-7733
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About
Contact & Profiles
Research Areas
  • T-cell and B-cell Immunology
  • Diabetes and associated disorders
  • Viral Infectious Diseases and Gene Expression in Insects
  • Virus-based gene therapy research
  • Genomics and Chromatin Dynamics
  • Trace Elements in Health
  • Advanced biosensing and bioanalysis techniques
  • Invertebrate Immune Response Mechanisms
  • Thyroid Disorders and Treatments
  • Prion Diseases and Protein Misfolding
  • Immunodeficiency and Autoimmune Disorders
  • Atherosclerosis and Cardiovascular Diseases
  • Neurological diseases and metabolism
  • Protein Degradation and Inhibitors
  • Glycosylation and Glycoproteins Research
  • RNA Interference and Gene Delivery

Moscow Institute of Physics and Technology
2020

Institute of Immunology and Physiology
2003-2013

Russian Academy of Sciences
2010-2011

Institute for Neurodegenerative Disorders
2011

University of California, San Francisco
2011

Prion diseases are fatal neurodegenerative caused by the accumulation of misfolded isoform (PrP(Sc)) prion protein (PrP(C)). Cell-based screens have identified several compounds that induce a reduction in PrP(Sc) levels infected cultured cells. However, molecular targets most antiprion remain unknown. We undertook large-scale, unbiased, cell-based screen for and then investigated whether representative subset active molecules had measurable affinity PrP, increased susceptibility to...

10.1074/jbc.m111.234393 article EN cc-by Journal of Biological Chemistry 2011-05-25

A universal method for rapid identifying super-enhancers which are large domains of multiple closely-spaced enhancers is proposed. The applies configurable cloud virtual machines (cVMs) and the rank-ordering (ROSE) algorithm. To identify a сVM-based analysis ChIP-seq binding patterns active enhancer-associated mark employed. use proposed described step-by-step: configuration cVM; data alignment; peak calling; ROSE algorithm; interpretation results on client machine. was validated search...

10.1016/j.mex.2020.101165 article EN cc-by MethodsX 2020-01-01

Aim: to consider association of polymorphous alleles class II HLA genes with Graves’ disease (GD) in Tuvinian population. Methods. HLAgenotyping was accomplished 40 GD patients and 164 volunteers randomly selected population (native Siberian population, Mongoloids). diagnosed accordind the clinical laboratory criteria. for 14 DRB1 alleles, 8 DQA1 13 DQB1 performed by polymerase chain reaction sequencespecific primers (DNATechnology, Russia). Statistical analysis using Excoffer, Schneider...

10.14341/ket20139251-54 article EN cc-by-nc-nd Clinical and experimental thyroidology 2013-06-15

Цель. Анализ ассоциаций генетических маркеров предрасположенности и резистентности к сахарному диабету (СД) 1 типа, локализованных в системе HLA, с помощью ДНК-генотипирования полиморфных аллелей этой системы тувинской популяции. Материалы методы. Среди тувинцев больные СД встречаются частотой 0.01%, т.е. 5 раз реже, чем у русских, проживающих той же географической зоне. Обследованы 15 тувинцев, больных 1. Контрольную группу составили 164 произвольно набранных доноров-тувинцев без...

10.14341/dm200148-9 article RU cc-by-nc-nd Diabetes Mellitus 2001-12-15
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