Back to Search
Start Over
Construction of gene interaction and regulatory networks in bovine skeletal muscle from expression data
- Source :
- Australian Journal of Experimental Agriculture; 2005, Vol. 45 Issue: 8 p821-829, 9p
- Publication Year :
- 2005
-
Abstract
- We propose a data-driven reverse engineering approach to isolate the components of a gene interaction and regulatory network. We apply this method to the construction of a network for bovine skeletal muscle. Key nodes in the network include muscle-specific genes and transcription factors. muscle-specific genes are identified from data mining the USA National Cancer Institute, Cancer Genome Anatomy Project database, while transcription factors are predicted by accurate function annotation. A total of 5 microarray studies spanning 78 hybridisations and 23 different experimental conditions provided raw expression data. A recently-reported analytical method based on multivariate mixed-model equations is used to compute gene co-expression measures across 624 genes. The resulting network included 102 genes (of which 40 were muscle-specific genes and 7 were transcription factors) that clustered in 7 distinct modules with clear biological interpretation.
Details
- Language :
- English
- ISSN :
- 08161089
- Volume :
- 45
- Issue :
- 8
- Database :
- Supplemental Index
- Journal :
- Australian Journal of Experimental Agriculture
- Publication Type :
- Periodical
- Accession number :
- ejs7591994
- Full Text :
- https://doi.org/10.1071/EA05039