Rimma Olegovna Shatalova

Ms. Rimma Olegovna Shatalova

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Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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24 April 2024 in Polymers
Verified
Journal Article
Open access
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Ilya LarinIlya Larin
Ilya Larin
RSRimma Olegovna Shatalova
Rimma Olegovna Shatalova
VLViktor Sergeevich Laktiushkin
Viktor Sergeevich Laktiushkin
SRStanislav A. Rybtsov
Stanislav A. Rybtsov
ELEvgeniy V. Lapshin
Evgeniy V. Lapshin
Dimitri IvanovDimitri Ivanov
Dimitri Ivanov
Studying cell settlement in the three-dimensional structure of synthetic biomaterials over time is of great interest in research and clinical translation for the development of artificial tissues and organs. Tracking cells as physical objects improves our understanding of the processes of migration, homing, and cell division during colonisation of the artificial environment. In this study, the 3D environment had a direct effect on the behaviour of biological objects. Recently, deep learning-based algorithms have shown significant benefits for cell segmentation tasks and, furthermore, for biomaterial design optimisation. We analysed the primary LHON fibroblasts in an artificial 3D environment after adeno-associated virus transduction. Application of these tools to model cell homing in biomaterials and to monitor cell morphology, migration and proliferation indirectly demonstrated restoration of the normal cell phenotype after gene manipulation by AAV transduction. Following the 3Rs principles of reducing the use of living organisms in research, modeling the formation of tissues and organs by reconstructing the behaviour of different cell types on artificial materials facilitates drug testing, the study of inherited and inflammatory diseases, and wound healing. These studies on the composition and algorithms for creating biomaterials to model the formation of cell layers were inspired by the principles of biomimicry.

10 December 2024 in Vaccines
Verified
Journal Article
Open access
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MVMaria Vasilieva
Maria Vasilieva
RSRimma Olegovna Shatalova
Rimma Olegovna Shatalova
KMKseniia S. Matveeva
Kseniia S. Matveeva
VSVadim Valeryevich Shindyapin
Vadim Valeryevich Shindyapin
EMEkaterina Minskaia
Ekaterina Minskaia
Daniil ShevyrevDaniil Shevyrev
Daniil Shevyrev
Preventive medicine has proven its long-term effectiveness and economic feasibility. Over the last century, vaccination has saved more lives than any other medical technology. At present, preventative measures against most infectious diseases are successfully used worldwide; in addition, vaccination platforms against oncological and even autoimmune diseases are being actively developed. At the same time, the development of medicine led to an increase in both life expectancy and the proportion of age-associated diseases, which pose a heavy socio-economic burden. In this context, the development of vaccine-based approaches for the prevention or treatment of age-related diseases opens up broad prospects for extending the period of active longevity and has high economic potential. It is well known that the development of age-related diseases is associated with the accumulation of senescent cells in various organs and tissues. It has been demonstrated that the elimination of such cells leads to the restoration of functions, rejuvenation, and extension of the lives of experimental animals. However, the development of vaccines against senescent cells is complicated by their antigenic heterogeneity and the lack of a unique marker. In addition, senescent cells are the body’s own cells, which may be the reason for their low immunogenicity. This mini-review discusses the mechanisms of central and peripheral tolerance that may influence the formation of an anti-senescent immune response and be responsible for the accumulation of senescent cells with age.