Show simple item record

Stochastic E2F activation and reconciliation of phenomenological cell-cycle models.

dc.contributor.author Lee, Tae J
dc.contributor.author Yao, Guang
dc.contributor.author Bennett, Dorothy C
dc.contributor.author Nevins, Joseph R
dc.contributor.author You, Lingchong
dc.coverage.spatial United States
dc.date.accessioned 2011-06-21T17:31:06Z
dc.date.issued 2010-09-21
dc.identifier http://www.ncbi.nlm.nih.gov/pubmed/20877711
dc.identifier.uri https://hdl.handle.net/10161/4447
dc.description.abstract The transition of the mammalian cell from quiescence to proliferation is a highly variable process. Over the last four decades, two lines of apparently contradictory, phenomenological models have been proposed to account for such temporal variability. These include various forms of the transition probability (TP) model and the growth control (GC) model, which lack mechanistic details. The GC model was further proposed as an alternative explanation for the concept of the restriction point, which we recently demonstrated as being controlled by a bistable Rb-E2F switch. Here, through a combination of modeling and experiments, we show that these different lines of models in essence reflect different aspects of stochastic dynamics in cell cycle entry. In particular, we show that the variable activation of E2F can be described by stochastic activation of the bistable Rb-E2F switch, which in turn may account for the temporal variability in cell cycle entry. Moreover, we show that temporal dynamics of E2F activation can be recast into the frameworks of both the TP model and the GC model via parameter mapping. This mapping suggests that the two lines of phenomenological models can be reconciled through the stochastic dynamics of the Rb-E2F switch. It also suggests a potential utility of the TP or GC models in defining concise, quantitative phenotypes of cell physiology. This may have implications in classifying cell types or states.
dc.language eng
dc.language.iso en_US
dc.publisher Public Library of Science (PLoS)
dc.relation.ispartof PLoS Biol
dc.relation.isversionof 10.1371/journal.pbio.1000488
dc.subject Animals
dc.subject Blotting, Western
dc.subject Cell Cycle
dc.subject Cell Line
dc.subject E2F Transcription Factors
dc.subject Flow Cytometry
dc.subject Models, Biological
dc.subject Rats
dc.subject Stochastic Processes
dc.title Stochastic E2F activation and reconciliation of phenomenological cell-cycle models.
dc.title.alternative
dc.type Journal article
duke.contributor.id Nevins, Joseph R|0084291
duke.contributor.id You, Lingchong|0334504
dc.description.version Version of Record
duke.date.pubdate 2010-9-0
duke.description.issue 9
duke.description.volume 8
dc.relation.journal Plos Biology
pubs.author-url http://www.ncbi.nlm.nih.gov/pubmed/20877711
pubs.begin-page e1000488
pubs.issue 9
pubs.organisational-group Basic Science Departments
pubs.organisational-group Biomedical Engineering
pubs.organisational-group Duke
pubs.organisational-group Faculty
pubs.organisational-group Molecular Genetics and Microbiology
pubs.organisational-group Pratt School of Engineering
pubs.organisational-group School of Medicine
pubs.publication-status Published online
pubs.volume 8
dc.identifier.eissn 1545-7885


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record