Publications by authors named "V A STRELETS"

A large body of research has shown that schizophrenia patients demonstrate increased brain structural aging. Although this process may be coupled with aberrant changes in intrinsic functional architecture of the brain, they remain understudied. We hypothesized that there are brain regions whose whole-brain functional connectivity at rest is differently associated with brain structural aging in schizophrenia patients compared to healthy controls.

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Research in model organisms is central to the characterization of signaling pathways in multicellular organisms. Here, we present the comprehensive and systematic curation of 17 Drosophila signaling pathways using the Gene Ontology framework to establish a dynamic resource that has been incorporated into FlyBase, providing visualization and data integration tools to aid research projects. By restricting to experimental evidence reported in the research literature and quantifying the amount of such evidence for each gene in a pathway, we captured the landscape of empirical knowledge of signaling pathways in Drosophila.

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In this article, the results of experimental explosive research of a dome-shaped protective device (made of St20 steel, 90 cm diameter, 130 kg weight) with a load have been given. These studiesused standard statistical procedures with a 0.95 reliability level to establish the validity of the existing mathematical model for emergency prevention.

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Article Synopsis
  • Research on Drosophila signaling pathways is crucial for understanding cellular communication in multicellular organisms and has been systematically curated using the Gene Ontology framework.
  • This project involved documenting 17 specific signaling pathways and integrating them into FlyBase, which includes new visualization tools for easier access.
  • The curation focused on utilizing experimental evidence from existing literature, enhancing the knowledge of these pathways and supporting ongoing research efforts with comprehensive data and insights.
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The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms.

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