Linked Life Data

11056063

Source:http://linkedlifedata.com/resource/pubmed/id/11056063

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2000-12-1
pubmed:abstractText
The rapid advance of genome sequencing projects challenges biologists to assign physiological roles to thousands of unknown gene products. We suggest here that regulatory functions and protein-protein interactions involving specific products may be inferred from the trajectories over time of their mRNA and free protein levels within the cell. The level of a protein in the cytoplasm is governed not only by the level of its mRNA and the rate of translation, but also by the protein's folding efficiency, its biochemical modification, its complexation with other components, its degradation, and its transport from the cytoplasmic space. All these co- and post translational events cause the concentration of the protein to deviate from the level that would result if we only accounted for translation of its mRNA. The dynamics of such deviations can create patterns that reflect regulatory functions. Moreover, correlations among deviations highlight protein pairs involved in potential protein-protein interactions. We explore and illustrate these ideas here using a genetically structured simulation for the intracellular growth of bacteriophage T7.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1096-7176
pubmed:author
pubmed:copyrightInfo
Copyright 2000 Academic Press.
pubmed:issnType
Print
pubmed:volume
2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
210-7
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Patterns of regulation from mRNA and protein time series.
pubmed:affiliation
Department of Chemical Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, Wisconsin 53706-1691, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.