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Development through the eyes of functional genomics
Andrew G Fraser1, Edward M Marcotte
1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK. agf@sanger.ac.uk
Current Opinion in Genetics & Development
|July 21, 2004
Summary
Global gene function analyses in model organisms are becoming routine. Integrating large-scale datasets and gene networks offers a molecular understanding of developmental pathways through stage-specific subnetworks.
Area of Science:
- Developmental Biology
- Systems Biology
- Genomics
Background:
- Global analyses of gene function are increasingly common in developmental biology model organisms.
- Techniques include microarrays, physical interaction mapping, and loss-of-function screens.
- Large-scale datasets can be integrated to construct complex gene networks.
Purpose of the Study:
- To explore how gene networks can enhance the understanding of developmental pathways.
- To investigate the potential of combining large-scale expression data and gene networks for a molecular description of development.
Main Methods:
- Integration of large-scale gene expression datasets.
- Construction and analysis of complex gene networks.
- Identification of stage-specific subnetworks within organism-wide gene networks.
Main Results:
- Gene networks derived from large-scale data can provide insights into developmental processes.
- Combining expression data and gene networks facilitates a more comprehensive view of developmental pathways.
- The concept of stage-specific subnetworks offers a dynamic model for molecular events during development.
Conclusions:
- Gene network analysis is a powerful approach for dissecting developmental pathways.
- Integrating diverse large-scale datasets is key to advancing molecular developmental biology.
- Stage-specific subnetworks represent a promising framework for understanding the temporal dynamics of development.