Development of cell-based test-system to study epigenetic mechanisms involved in neurotoxicity
The correct model for neurotoxicity risk assessment based on predictive test-systems, appropriate
endpoints, extrapolation models from in vitro/in vivo data to human are not clearly identified. It is more difficult to assess a group of
toxins demonstrated the systemic action of toxicity that affects different neurophysiological targets. We proposed that a network of interacting
epigenetic mechanisms is responsible for their toxicity. We are particularly interested in analysis of concentration and time-dependent
DNA-methylation response in animal and human cells after selected toxin exposure using methylation sensitive comet assay. It will show the adequacy
of the method, endpoint and cell lines selection for correct assessment, extrapolation, and prediction of toxins neurotoxic capacity.
Screening on antioxidant, anticancer and immunomodulatory activities of plant extracts
A significant number of natural products are recognized as drug entities by the FDA and similar
organizations, moreover, natural products are used to treat 87% of all categorized human diseases. Phytochemicals as a huge group of natural
products have also been considered as a rich source of lead molecules in drug discovery. However, the test-battery for drug discovery based
on medical plants screening using high impact technologies is still unclear because of the lack of high quality screening libraries. We work
on representing the test-battery for high-throughput screening of plant extracts for discovery leads with antioxidant, anticancer and
immunomodulatory activities that pass the basic toxicity assessment barrier. We also proposed that, when screening plant extracts for
a particular activity, not only the activity of key components but also their multicomponent content that primarily determines the level
of toxicity should be considered. Тhereby, we perform a correlation analysis of plant extracts’ chemical contents and toxicity, which will
help to create the screening-library database.
Study of biological effects of ultrafast radiation
Electron accelerator femtosecond beams delivered with laser plasma accelerators, may challenge
our understanding of radiation effects on molecular targets. The crucial step toward the application of laser accelerated electrons beam in the
field of radiobiology is the determination of its relative biological effectiveness (RBE) based on biological endpoints such as DNA damage/repair,
cell viability and tissue specificity. We elaborate the RBE prediction model for linear energy transfer (LET) determination as a value of energy
deposition rate of ultrafast radiation. The analysis of RBE parameters’ correlation with irradiation conditions can determine the actual value of
the LET at which the maximum RBE appears for different biological systems.