Source:http://linkedlifedata.com/resource/pubmed/id/18548760
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
5
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| pubmed:dateCreated |
2008-6-12
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| pubmed:abstractText |
Flow cytometry is a fast and sensitive method that allows monitoring of different cellular parameters on large samples of a population. Protein distributions give relevant information on growth dynamics, since they are related to the age distribution and depend on the law of growth of the population and the law of protein accumulation during the cell cycle. We analyzed protein distributions to evaluate alternative growth models for the budding yeast Saccharomyces cerevisiae and to monitor the changes in population dynamics that result from environmental modifications; such an analysis could potentially give parameters useful in the control of biotechnological processes. Theoretical protein distributions (taking into account the unequal division of yeast cells and the exponential law of protein accumulation during a cell cycle) quantitatively fit experimental distributions, once appropriate variability sources are introduced. Best fits are obtained when the protein threshold required for bud emergence increases at each new generation of parent cells.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:status |
PubMed-not-MEDLINE
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| pubmed:month |
May
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| pubmed:issn |
0006-3592
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| pubmed:author | |
| pubmed:issnType |
Print
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| pubmed:volume |
25
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
1295-310
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| pubmed:year |
1983
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| pubmed:articleTitle |
Analysis of protein distribution in budding yeast.
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| pubmed:affiliation |
Dipartimento di Fisiologia e Biochimica generali, Sezione di Biochimica Comparata, Universitá di Milano, Milan, Italy.
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| pubmed:publicationType |
Journal Article
|