Publications by authors named "S Iu Novikova"

The development of new convenient tools for the design of multicomponent nucleic acid (NA) complexes is one of the challenges in biomedicine and NA nanotechnology. In this paper, we analyzed the formation of hybrid RNA/DNA concatemers and self-limited complexes by a pair of oligonucleotides using UV melting, circular dichroism spectroscopy, and a gel shift assay. Effects of the size of the linker between duplex-forming segments of the oligonucleotides on complexes' shape and number of subunits were compared and systematized for RNA/DNA, DNA/DNA, and RNA/RNA assemblies.

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NAD+ plays a pivotal role in energy metabolism and adaptation to external stimuli and stressful conditions. A significant reduction in intracellular NAD+ levels is associated with aging and contributes to the development of chronic cardiovascular, neurodegenerative, and metabolic diseases. It is of particular importance to maintain optimal levels of NAD+ in cells with high energy consumption, particularly in the brain.

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Two-dimensional (2D) chromium(III) sulfide has recently attracted increased attention from researchers due to its interesting electronic and magnetic properties and has great potential for application in spintronics and optoelectronics to create sensitive photodetectors. However, the synthesis of 2D CrS crystals is still a challenging task. At present, the mainly used method is vapor deposition, which is a poorly scalable, time-consuming, and expensive process.

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This study is devoted to creating a neural network technology for assessing metal accumulation in the body of a metropolis resident with short-term and long-term intake from anthropogenic sources. Direct assessment of metal retention in the human body is virtually impossible due to the many internal mechanisms that ensure the kinetics of metals and the wide variety of organs, tissues, cellular structures, and secretions that ensure their functional redistribution, transport, and cumulation. We have developed an intelligent multi-neural network model capable of calculating the content of metals in the human body based on data on their environmental content.

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Article Synopsis
  • A study combined dendrochronological (tree-ring data) and genomic data to explore how Siberian stone pine adapts genetically to climate change and environmental stressors.
  • Researchers analyzed 84,853 genetic markers (SNPs) and 110 tree traits from 234 trees across six populations to understand the genetic structure and adaptive potential of these trees.
  • The analysis revealed a weak genetic differentiation among populations and identified 30 SNPs linked to tree traits; notably, three SNPs associated with recovery from climatic stress were found across various methods, suggesting their potential adaptive importance.
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