Using FlyAtlas to identify better Drosophila melanogaster models of human disease

Chintapalli, V. R., Wang, J. and Dow, J. A.T. (2007) Using FlyAtlas to identify better Drosophila melanogaster models of human disease. Nature Genetics, 39, pp. 715-720. (doi:10.1038/ng2049)

Full text not currently available from Enlighten.

Abstract

FlyAtlas, a new online resource, provides the most comprehensive view yet of expression in multiple tissues of Drosophila melanogaster. Meta-analysis of the data shows that a significant fraction of the genome is expressed with great tissue specificity in the adult, demonstrating the need for the functional genomic community to embrace a wide range of functional phenotypes. Well-known developmental genes are often reused in surprising tissues in the adult, suggesting new functions. The homologs of many human genetic disease loci show selective expression in the Drosophila tissues analogous to the affected human tissues, providing a useful filter for potential candidate genes. Additionally, the contributions of each tissue to the whole-fly array signal can be calculated, demonstrating the limitations of whole-organism approaches to functional genomics and allowing modeling of a simple tissue fractionation procedure that should improve detection of weak or tissue-specific signals.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Wang, Mrs Jing and Dow, Professor Julian and Chintapalli, Dr Venkateswara
Authors: Chintapalli, V. R., Wang, J., and Dow, J. A.T.
College/School:College of Medical Veterinary and Life Sciences > Institute of Molecular Cell and Systems Biology
Journal Name:Nature Genetics
Publisher:Nature Publishing
ISSN:1061-4036
ISSN (Online):1546-1718
Published Online:29 May 2007

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
325421Affymetrix array service for the UK Drosophila CommunityJulian DowBiotechnology and Biological Sciences Research Council (BBSRC)G17767Institute of Molecular Cell and Systems Biology