Linked Life Data

12633463

Source:http://linkedlifedata.com/resource/pubmed/id/12633463

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2003-3-13
pubmed:abstractText
Using data from gene expression databases on various organisms and tissues, including yeast, nematodes, human normal and cancer tissues, and embryonic stem cells, we found that the abundances of expressed genes exhibit a power-law distribution with an exponent close to -1; i.e., they obey Zipf's law. Furthermore, by simulations of a simple model with an intracellular reaction network, we found that Zipf's law of chemical abundance is a universal feature of cells where such a network optimizes the efficiency and faithfulness of self-reproduction. These findings provide novel insights into the nature of the organization of reaction dynamics in living cells.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0031-9007
pubmed:author
pubmed:issnType
Print
pubmed:day
28
pubmed:volume
90
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
088102
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Zipf's law in gene expression.
pubmed:affiliation
Center for Developmental Biology, The Institute of Physical and Chemical Research (RIKEN), Kobe 650-0047, Japan.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't