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Correlation of Statistical Distributions of the Dimension of Yeast Cells Attached to the Substrate and Its Surface Electrical Potential
The ability of cells to adhere to substrates is an important factor for the effectiveness of biotechnologies and bioimplants. This research demonstrates that the statistical distribution of the sizes of the cells (Saccharomyces cerevisiae) attached to the substrate surface correlates with the statis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746229/ https://www.ncbi.nlm.nih.gov/pubmed/35009155 http://dx.doi.org/10.3390/ma15010006 |
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author | Bondareva, Elina Dekhtyar, Yuri Gorosko, Vladislavs Sorokins, Hermanis Rapoport, Alexander |
author_facet | Bondareva, Elina Dekhtyar, Yuri Gorosko, Vladislavs Sorokins, Hermanis Rapoport, Alexander |
author_sort | Bondareva, Elina |
collection | PubMed |
description | The ability of cells to adhere to substrates is an important factor for the effectiveness of biotechnologies and bioimplants. This research demonstrates that the statistical distribution of the sizes of the cells (Saccharomyces cerevisiae) attached to the substrate surface correlates with the statistical distribution of electrical potential on the substrate’s surface. Hypothetically, this behavior should be taken into consideration during the processing of surfaces when cell adhesion based on cell size is required. |
format | Online Article Text |
id | pubmed-8746229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87462292022-01-11 Correlation of Statistical Distributions of the Dimension of Yeast Cells Attached to the Substrate and Its Surface Electrical Potential Bondareva, Elina Dekhtyar, Yuri Gorosko, Vladislavs Sorokins, Hermanis Rapoport, Alexander Materials (Basel) Article The ability of cells to adhere to substrates is an important factor for the effectiveness of biotechnologies and bioimplants. This research demonstrates that the statistical distribution of the sizes of the cells (Saccharomyces cerevisiae) attached to the substrate surface correlates with the statistical distribution of electrical potential on the substrate’s surface. Hypothetically, this behavior should be taken into consideration during the processing of surfaces when cell adhesion based on cell size is required. MDPI 2021-12-21 /pmc/articles/PMC8746229/ /pubmed/35009155 http://dx.doi.org/10.3390/ma15010006 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bondareva, Elina Dekhtyar, Yuri Gorosko, Vladislavs Sorokins, Hermanis Rapoport, Alexander Correlation of Statistical Distributions of the Dimension of Yeast Cells Attached to the Substrate and Its Surface Electrical Potential |
title | Correlation of Statistical Distributions of the Dimension of Yeast Cells Attached to the Substrate and Its Surface Electrical Potential |
title_full | Correlation of Statistical Distributions of the Dimension of Yeast Cells Attached to the Substrate and Its Surface Electrical Potential |
title_fullStr | Correlation of Statistical Distributions of the Dimension of Yeast Cells Attached to the Substrate and Its Surface Electrical Potential |
title_full_unstemmed | Correlation of Statistical Distributions of the Dimension of Yeast Cells Attached to the Substrate and Its Surface Electrical Potential |
title_short | Correlation of Statistical Distributions of the Dimension of Yeast Cells Attached to the Substrate and Its Surface Electrical Potential |
title_sort | correlation of statistical distributions of the dimension of yeast cells attached to the substrate and its surface electrical potential |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746229/ https://www.ncbi.nlm.nih.gov/pubmed/35009155 http://dx.doi.org/10.3390/ma15010006 |
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