Anelya Alieva

Dr. Anelya Alieva

Institute of Molecular Genetics of National Research Centre "Kurchatov Institute"
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2015 in Parkinsonism & Related Disorders
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Journal Article
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AAAnelya Alieva
Anelya Alieva
EFElena Filatova
Elena Filatova
AKAleksey V. Karabanov
Aleksey V. Karabanov
SISergey Illarioshkin
Sergey Illarioshkin
SLSvetlana A. Limborska
Svetlana A. Limborska
Pyotr A. SlominskyPyotr A. Slominsky
Pyotr A. Slominsky

21 January 2020 in Scientific Reports
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Journal Article
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AAAnelya Alieva
Anelya Alieva
MRMargarita Rudenok
Margarita Rudenok
EFElena Filatova
Elena Filatova
AKAlexey Karabanov
Alexey Karabanov
ODOlga Doronina
Olga Doronina
Maria ShadrinaMaria Shadrina
Maria Shadrina
Valosin-containing human protein (VCP) or p97 performs enzyme functions associated with the maintenance of protein homeostasis and control of protein quality. Disruption of its normal functioning might be associated with the development of Parkinson’s disease (PD). Tissues of mice with toxin-induced presymptomatic and early symptomatic stages of PD, as well as 52 treated and untreated patients with newly diagnosed PD and nine patients with a “predicted” form of PD, were investigated. Significant changes in Vcp gene expression were observed in almost all studied mouse tissues. A significant decrease in VCP expression specific for PD was also detected at both the late preclinical and the early clinical stages of PD in untreated patients. Thus, a decrease in VCP expression is important for changes in the function of the nervous system at early stages of PD. Analysis of changes in VCP expression in all patients with PD and in Vcp in the peripheral blood of mice used as models of PD revealed significant decreases in expression specific for PD. These data suggest that a decrease in the relative levels of VCP mRNA might serve as a biomarker for the development of pathology at the early clinical and preclinical stages of human PD.

18 October 2016 in Molecular Neurobiology
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Journal Article
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AAAnelya Alieva
Anelya Alieva
EFElena Filatova
Elena Filatova
AKAnna Kolacheva
Anna Kolacheva
MRMargarita Rudenok
Margarita Rudenok
Pyotr A. SlominskyPyotr A. Slominsky
Pyotr A. Slominsky
MSMaria I. Shadrina
Maria I. Shadrina


15 May 2018 in Frontiers in Aging Neuroscience
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Journal Article
Open access
MSMarina Shulskaya
Marina Shulskaya
AAAnelya Alieva
Anelya Alieva
IVIvan Vlasov
Ivan Vlasov
VZVladimir V. Zyrin
Vladimir V. Zyrin
EFEkaterina Yu. Fedotova
Ekaterina Yu. Fedotova
MSMaria I. Shadrina
Maria I. Shadrina
Background: Parkinson’s disease is a complex disease with its monogenic forms accounting for less than 10% of all cases. Whole-exome sequencing technology has been used successfully to find mutations in large families. However, because of the late onset of the disease, only small families and unrelated patients are usually available. Whole-exome sequencing conducted in such cases yields in a large number of candidate variants. There are currently a number of imperfect software tools that allow the pathogenicity of variants to be evaluated. Objectives: We analyzed 48 unrelated patients with an alleged autosomal dominant familial form of Parkinson’s disease using whole-exome sequencing and developed a strategy for selecting potential pathogenetically significant variants using almost all available bioinformatics resources for the analysis of exonic areas. Methods: DNA sequencing of 48 patients with excluded frequent mutations was performed using an Illumina HiSeq 2500 platform. The possible pathogenetic significance of identified variants and their involvement in the pathogenesis of Parkinson’s disease was assessed using SVS, CADD, and REVEL software. Functional evaluation was performed using the Pathway Studio database. Results: A significant reduction in the search range from 7082 to 25 variants in 23 genes associated with Parkinson’s disease or neuronal function was achieved. Eight (FXN, MFN2, MYOC, NPC1, PSEN1, RET, SCN3A, and SPG7) were the most significant. Conclusions: The multistep approach developed made it possible to conduct an effective search for potential pathogenetically significant variants, presumably involved in the pathogenesis of Parkinson’s disease. The data obtained need to be further verified experimentally.

30 August 2021 in Cells
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Journal Article
Open access
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AAAnelya Alieva
Anelya Alieva
EFElena Filatova
Elena Filatova
MRMargarita Rudenok
Margarita Rudenok
Pyotr A. SlominskyPyotr A. Slominsky
Pyotr A. Slominsky
Maria ShadrinaMaria Shadrina
Maria Shadrina
A critical aspect of real-time PCR is the presence of housekeeping genes (HKGs) as an internal control for the normalization of expression data for genes of interest. It is necessary to select correct HKGs in the investigation of various pathologies. Thereby, we analyzed the stability of expression of the HKGs in Parkinson’s disease (PD). The work was carried out in the peripheral blood of patients with PD and in the brain tissues and peripheral blood of mice with MPTP-induced PD. As a result, Aars was the most stably expressed HKG in the mouse brain as a whole. However, different genes were more stably expressed in different parts of the brain. Polr2f was the most stably expressed in the cortex, Psmd6 was the most stably expressed in the cerebellum, and Psmd7 was the most stably expressed in the striatum and substantia nigra. HKGs were different in similar tissues of the studied organisms. Polr2f was the most stably expressed HKG in the peripheral blood of mice, whereas PSMD6 was the most stably expressed gene in humans. Thus, there is no universal HKG both for different brain tissues of one organism and for similar tissues of different organisms. Furthermore, the identified most stably expressed HKGs can be considered as such only under conditions in PD.