Journal
COMPTES RENDUS BIOLOGIES
Volume 326, Issue 10-11, Pages 1097-1101Publisher
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.crvi.2003.09.031
Keywords
abundance; expression; frequency; transcriptome; Zipf's law
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Detailed analysis of human gene expression data reveals several patterns of relationship between transcript frequency and abundance rank. In muscle and liver, organs composed primarily of a homogeneous population of differentiated cells, they obey Zipf's law. In cell lines, epithelial tissue and compiled transcriptome data, only high-rankers deviate from it. We propose an evolutionary process model during which expression level changes stochastically proportionally to its intensity, providing a novel interpretation of transcriptome data and of evolutionary constraints on gene expression. (C) 2003 Published by Elsevier SAS on behalf of Academie des sciences.
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