FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2020975151> ?p ?o ?g. }

• W2020975151 endingPage "476" @default.
• W2020975151 startingPage "455" @default.
• W2020975151 abstract "In otherwise homogeneous cell populations, individual cells undergo asynchronous cell cycles. In recent years, interest in this fundamental observation has been boosted by the wide usage of CFSE, a fluorescent dye that allows the precise estimation by flow cytometry of the number of divisions performed by different cells in a population, and thus the generation structure. In this work, we propose two general mathematical frameworks to model the time evolution of generation structure in a cell population. The first modeling framework is more descriptive and assumes that cell division time is distributed in the cell population, due to intrinsic noise in the molecular machinery in individual cells; while the second framework assumes that asynchrony in cell division stems from randomness in the interactions individual cells make with environmental agents. We reduce these formalisms to recover two preexistent models, which build on each of the hypotheses. When confronted to kinetics data on CFSE labeled cells taken from literature, these models can fit precursor frequency distributions at each measured time point. However, they fail to fit the whole kinetics of precursor frequency distributions. In contrast, two extensions of those models, derived also from our general formalisms, fit equally well both the whole kinetics and individual profiles at each time point, providing a biologically reasonable estimation of parameters. We prove that the distribution of cell division times is not Gaussian, as previously proposed, but is better described by an asymmetric distribution such as the Gamma distribution. We show also that the observed cell asynchrony could be explained by the existence of a single transitional event during cell division. Based on these results, we suggest new ways of combining theoretical and experimental work to assess how much of noise in internal machinery of the cell and interactions with the environmental agents contribute to the asynchrony in cell division." @default.
• W2020975151 created "2016-06-24" @default.
• W2020975151 creator A5056874233 @default.
• W2020975151 creator A5063118355 @default.
• W2020975151 creator A5076692042 @default.
• W2020975151 date "2004-08-01" @default.
• W2020975151 modified "2023-10-14" @default.
• W2020975151 title "A general mathematical framework to model generation structure in a population of asynchronously dividing cells" @default.
• W2020975151 cites W1268383650 @default.
• W2020975151 cites W1482928030 @default.
• W2020975151 cites W1490351768 @default.
• W2020975151 cites W1534336889 @default.
• W2020975151 cites W1905725226 @default.
• W2020975151 cites W1968025366 @default.
• W2020975151 cites W1976991065 @default.
• W2020975151 cites W1991216151 @default.
• W2020975151 cites W2016991589 @default.
• W2020975151 cites W2049020751 @default.
• W2020975151 cites W2049432379 @default.
• W2020975151 cites W2050701451 @default.
• W2020975151 cites W2054678965 @default.
• W2020975151 cites W2069217711 @default.
• W2020975151 cites W2075956283 @default.
• W2020975151 cites W2077068404 @default.
• W2020975151 cites W2105129728 @default.
• W2020975151 cites W2126389045 @default.
• W2020975151 cites W2149764521 @default.
• W2020975151 cites W2164832071 @default.
• W2020975151 doi "https://doi.org/10.1016/j.jtbi.2004.04.011" @default.
• W2020975151 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15246784" @default.
• W2020975151 hasPublicationYear "2004" @default.
• W2020975151 type Work @default.
• W2020975151 sameAs 2020975151 @default.
• W2020975151 citedByCount "59" @default.
• W2020975151 countsByYear W20209751512012 @default.
• W2020975151 countsByYear W20209751512013 @default.
• W2020975151 countsByYear W20209751512014 @default.
• W2020975151 countsByYear W20209751512016 @default.
• W2020975151 countsByYear W20209751512017 @default.
• W2020975151 countsByYear W20209751512018 @default.
• W2020975151 countsByYear W20209751512019 @default.
• W2020975151 countsByYear W20209751512020 @default.
• W2020975151 countsByYear W20209751512022 @default.
• W2020975151 crossrefType "journal-article" @default.
• W2020975151 hasAuthorship W2020975151A5056874233 @default.
• W2020975151 hasAuthorship W2020975151A5063118355 @default.
• W2020975151 hasAuthorship W2020975151A5076692042 @default.
• W2020975151 hasConcept C105795698 @default.
• W2020975151 hasConcept C110121322 @default.
• W2020975151 hasConcept C121332964 @default.
• W2020975151 hasConcept C121864883 @default.
• W2020975151 hasConcept C125112378 @default.
• W2020975151 hasConcept C127491075 @default.
• W2020975151 hasConcept C134306372 @default.
• W2020975151 hasConcept C144024400 @default.
• W2020975151 hasConcept C1491633281 @default.
• W2020975151 hasConcept C149923435 @default.
• W2020975151 hasConcept C171018156 @default.
• W2020975151 hasConcept C186060115 @default.
• W2020975151 hasConcept C2524010 @default.
• W2020975151 hasConcept C2908647359 @default.
• W2020975151 hasConcept C33923547 @default.
• W2020975151 hasConcept C41008148 @default.
• W2020975151 hasConcept C52079815 @default.
• W2020975151 hasConcept C54355233 @default.
• W2020975151 hasConcept C60798267 @default.
• W2020975151 hasConcept C85813293 @default.
• W2020975151 hasConcept C86803240 @default.
• W2020975151 hasConcept C94375191 @default.
• W2020975151 hasConceptScore W2020975151C105795698 @default.
• W2020975151 hasConceptScore W2020975151C110121322 @default.
• W2020975151 hasConceptScore W2020975151C121332964 @default.
• W2020975151 hasConceptScore W2020975151C121864883 @default.
• W2020975151 hasConceptScore W2020975151C125112378 @default.
• W2020975151 hasConceptScore W2020975151C127491075 @default.
• W2020975151 hasConceptScore W2020975151C134306372 @default.
• W2020975151 hasConceptScore W2020975151C144024400 @default.
• W2020975151 hasConceptScore W2020975151C1491633281 @default.
• W2020975151 hasConceptScore W2020975151C149923435 @default.
• W2020975151 hasConceptScore W2020975151C171018156 @default.
• W2020975151 hasConceptScore W2020975151C186060115 @default.
• W2020975151 hasConceptScore W2020975151C2524010 @default.
• W2020975151 hasConceptScore W2020975151C2908647359 @default.
• W2020975151 hasConceptScore W2020975151C33923547 @default.
• W2020975151 hasConceptScore W2020975151C41008148 @default.
• W2020975151 hasConceptScore W2020975151C52079815 @default.
• W2020975151 hasConceptScore W2020975151C54355233 @default.
• W2020975151 hasConceptScore W2020975151C60798267 @default.
• W2020975151 hasConceptScore W2020975151C85813293 @default.
• W2020975151 hasConceptScore W2020975151C86803240 @default.
• W2020975151 hasConceptScore W2020975151C94375191 @default.
• W2020975151 hasIssue "4" @default.
• W2020975151 hasLocation W20209751511 @default.
• W2020975151 hasLocation W20209751512 @default.
• W2020975151 hasOpenAccess W2020975151 @default.
• W2020975151 hasPrimaryLocation W20209751511 @default.
• W2020975151 hasRelatedWork W1986138025 @default.
• W2020975151 hasRelatedWork W1998585863 @default.

• next