Oleg V. Bylino

Dr. Oleg V. Bylino

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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AOAnna Ogienko
Anna Ogienko
EOEvgeniya Omelina
Evgeniya Omelina
OBOleg V. Bylino
Oleg V. Bylino
MBMikhail A. Batin
Mikhail A. Batin
PGPavel Georgiev
Pavel Georgiev
Alexey PindyurinAlexey Pindyurin
Alexey Pindyurin
The spatio-temporal regulation of gene expression determines the fate and function of various cells and tissues and, as a consequence, the correct development and functioning of complex organisms. Certain mechanisms of gene activity regulation provide adequate cell responses to changes in environmental factors. Aside from gene expression disorders that lead to various pathologies, alterations of expression of particular genes were shown to significantly decrease or increase the lifespan in a wide range of organisms from yeast to human. Drosophila fruit fly is an ideal model system to explore mechanisms of longevity and aging due to low cost, easy handling and maintenance, large number of progeny per adult, short life cycle and lifespan, relatively low number of paralogous genes, high evolutionary conservation of epigenetic mechanisms and signalling pathways, and availability of a wide range of tools to modulate gene expression in vivo. Here, we focus on the organization of the evolutionarily conserved signaling pathways whose components significantly influence the aging process and on the interconnections of these pathways with gene expression regulation.

12 July 2020 in Cells
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OBOleg V. Bylino
Oleg V. Bylino
AIAirat Ibragimov
Airat Ibragimov
YSYulii Shidlovskii
Yulii Shidlovskii
The genomes of all organisms abound with various cis-regulatory elements, which control gene activity. Transcriptional enhancers are a key group of such elements in eukaryotes and are DNA regions that form physical contacts with gene promoters and precisely orchestrate gene expression programs. Here, we follow gradual evolution of this regulatory system and discuss its features in different organisms. In eubacteria, an enhancer-like element is often a single regulatory element, is usually proximal to the core promoter, and is occupied by one or a few activators. Activation of gene expression in archaea is accompanied by the recruitment of an activator to several enhancer-like sites in the upstream promoter region. In eukaryotes, activation of expression is accompanied by the recruitment of activators to multiple enhancers, which may be distant from the core promoter, and the activators act through coactivators. The role of the general DNA architecture in transcription control increases in evolution. As a whole, it can be seen that enhancers of multicellular eukaryotes evolved from the corresponding prototypic enhancer-like regulatory elements with the gradually increasing genome size of organisms.

Verified
Journal Article
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OBOleg V. Bylino
Oleg V. Bylino
AOAnna Ogienko
Anna Ogienko
MBMikhail A. Batin
Mikhail A. Batin
PGPavel Georgiev
Pavel Georgiev
EOEvgeniya Omelina
Evgeniya Omelina
Lifespan is a complex quantitative trait involving genetic and non-genetic factors as well as the peculiarities of ontogenesis. As with all quantitative traits, lifespan shows considerable variation within populations and between individuals. Drosophila, a favourite object of geneticists, has greatly advanced our understanding of how different forms of variability affect lifespan. This review considers the role of heritable genetic variability, phenotypic plasticity and stochastic variability in controlling lifespan in Drosophila melanogaster. We discuss the major historical milestones in the development of the genetic approach to study lifespan, the breeding of long-lived lines, advances in lifespan QTL mapping, the environmental factors that have the greatest influence on lifespan in laboratory maintained flies, and the mechanisms, by which individual development affects longevity. The interplay between approaches to study ageing and lifespan limitation will also be discussed. Particular attention will be paid to the interaction of different types of variability in the control of lifespan.

5 July 2020 in Cells
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AIAirat Ibragimov
Airat Ibragimov
OBOleg V. Bylino
Oleg V. Bylino
YSYulii Shidlovskii
Yulii Shidlovskii
Transcriptional enhancers are major genomic elements that control gene activity in eukaryotes. Recent studies provided deeper insight into the temporal and spatial organization of transcription in the nucleus, the role of non-coding RNAs in the process, and the epigenetic control of gene expression. Thus, multiple molecular details of enhancer functioning were revealed. Here, we describe the recent data and models of molecular organization of enhancer-driven transcription.

Verified
Journal Article
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YSYulii Shidlovskii
Yulii Shidlovskii
OBOleg V. Bylino
Oleg V. Bylino
ASAlexander V. Shaposhnikov
Alexander V. Shaposhnikov
ZKZaur Kachaev
Zaur Kachaev
LLLyubov A. Lebedeva
Lyubov A. Lebedeva
EGEnnio Giordano
Ennio Giordano
The chromatin remodeler SWI/SNF is an important participant in gene activation, functioning predominantly by opening the chromatin structure on promoters and enhancers. Here, we describe its novel mode of action in which SWI/SNF factors mediate the targeted action of an enhancer. We studied the functions of two signature subunits of PBAP subfamily, BAP170 and SAYP, in Drosophila. These subunits were stably tethered to a transgene reporter carrying the hsp70 core promoter. The tethered subunits mediate transcription of the reporter in a pattern that is generated by enhancers close to the insertion site in multiple loci throughout the genome. Both tethered SAYP and BAP170 recruit the whole PBAP complex to the reporter promoter. However, we found that BAP170-dependent transcription is more resistant to the depletion of other PBAP subunits, suggesting that BAP170 may play a more critical role in establishing enhancer-dependent transcription.

20 December 2024 in bioRxiv
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AKAlexander V. Konopatov
Alexander V. Konopatov
YSYulii Shidlovskii
Yulii Shidlovskii
ASAlexander Shtil
Alexander Shtil
OBOleg V. Bylino
Oleg V. Bylino
The analysis of lifespan and ageing involves a variety of calculations based on survival data. One of these is the comparison of survival curves. However, inspection of survival curves provides little information about the frequency of phenotypes within samples. Here we propose to divide the distribution into intervals to obtain information about the sample structure. Then, we apply the normality criterion to the distributions using the Kolmogorov-Smirnov and Shapiro-Wilk tests. Using this approach, we reveal the destabilising effect of mutations on ontogenesis and lifespan, and estimate the strength of the genetic background of the lines. The proposed methodology allows effective estimation of sample structure and adds a new layer of information to longevity studies.