Your browser doesn't support javascript.
loading
Comparative modular analysis of gene expression in vertebrate organs.
Piasecka, Barbara; Kutalik, Zoltán; Roux, Julien; Bergmann, Sven; Robinson-Rechavi, Marc.
Affiliation
  • Piasecka B; Department of Ecology and Evolution, University of Lausanne, Biophore, CH-1005 Lausanne, Switzerland.
BMC Genomics ; 13: 124, 2012 Mar 29.
Article in En | MEDLINE | ID: mdl-22458817
ABSTRACT

BACKGROUND:

The degree of conservation of gene expression between homologous organs largely remains an open question. Several recent studies reported some evidence in favor of such conservation. Most studies compute organs' similarity across all orthologous genes, whereas the expression level of many genes are not informative about organ specificity.

RESULTS:

Here, we use a modularization algorithm to overcome this limitation through the identification of inter-species co-modules of organs and genes. We identify such co-modules using mouse and human microarray expression data. They are functionally coherent both in terms of genes and of organs from both organisms. We show that a large proportion of genes belonging to the same co-module are orthologous between mouse and human. Moreover, their zebrafish orthologs also tend to be expressed in the corresponding homologous organs. Notable exceptions to the general pattern of conservation are the testis and the olfactory bulb. Interestingly, some co-modules consist of single organs, while others combine several functionally related organs. For instance, amygdala, cerebral cortex, hypothalamus and spinal cord form a clearly discernible unit of expression, both in mouse and human.

CONCLUSIONS:

Our study provides a new framework for comparative analysis which will be applicable also to other sets of large-scale phenotypic data collected across different species.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Vertebrates / Algorithms / Computational Biology / Gene Expression Profiling Limits: Animals / Humans Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2012 Type: Article Affiliation country: Switzerland

Full text: 1 Database: MEDLINE Main subject: Vertebrates / Algorithms / Computational Biology / Gene Expression Profiling Limits: Animals / Humans Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2012 Type: Article Affiliation country: Switzerland