Linked Life Data

17155441

Source:http://linkedlifedata.com/resource/pubmed/id/17155441

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
16
pubmed:dateCreated
2006-12-12
pubmed:abstractText
We present an analytical framework describing the steady-state distribution of protein concentration in live cells, considering that protein production occurs in random bursts with an exponentially distributed number of molecules. We extend this framework for cases of transcription autoregulation and noise propagation in a simple genetic network. This model allows for the extraction of kinetic parameters of gene expression from steady-state distributions of protein concentration in a cell population, which are available from single cell data obtained by flow cytometry or fluorescence microscopy.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0031-9007
pubmed:author
pubmed:issnType
Print
pubmed:day
20
pubmed:volume
97
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
168302
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Linking stochastic dynamics to population distribution: an analytical framework of gene expression.
pubmed:affiliation
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural