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Application of image processing in adaptation of yeast to environmental conditions, optimized by autogegulatory molecules and PSO

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dc.date.accessioned 2019-01-22T20:54:36Z
dc.date.available 2019-01-22T20:54:36Z
dc.date.issued 2018
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/149372
dc.description.abstract © 2018 Authors. Unlike bacterial signal molecules, secreted yeast ones, which ensure their coordinated behavior as a single system, have been little studied. We used the image processing technique to evaluate the environmental conditions. Communication through quorum sensing molecules (QSM) is the dominant signaling in prokaryotic populations. In eukaryotic yeast cells, stress, caused primarily by the nutrient limit, causes a phenotypic manifestation of the mechanism of dimorphic switching, encompassing the repression of certain groups of genes and the activation of others, determining adhesion and virulence. Analysis of literature data and the results of the authors' own research emphasize the importance of signaling studies involving autoinducer molecules to elucidate the fundamental laws governing the regulation of yeast physiology, including growth parameters, morphogenesis and pathogenicity.
dc.subject Image processing
dc.subject Medical engineering
dc.subject Particle swamp optimization
dc.subject Quorum sensing
dc.subject Yeast
dc.title Application of image processing in adaptation of yeast to environmental conditions, optimized by autogegulatory molecules and PSO
dc.type Article
dc.relation.ispartofseries-issue 4
dc.relation.ispartofseries-volume 7
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 1
dc.source.id SCOPUS-2018-7-4-SID85054145707


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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