Exploring genetic regulatory networks in metazoan development: methods and models.
One of the foremost challenges of 21st century biological research will be to decipher the complex genetic regulatory networks responsible for embryonic development. The recent explosion of whole genome sequence data and of genome-wide transcriptional profiling methods, such as microarrays, coupled with the development of sophisticated computational tools for exploiting and analyzing genomic data, provide a significant starting point for regulatory network analysis. In this article we review some of the main methodological issues surrounding genome annotation, transcriptional profiling, and computational prediction of cis-regulatory elements and discuss how the power of model genetic organisms can be used to experimentally verify and extend the results of genomic research.
Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Howard Hughes Medical Institute, Boston, Massachusetts 02115, USA.
Marc S
MS
Halfon
Alan M
AM
Michelson
D000818:Animals; D019521:Body Patterning / Q000235:genetics*; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D004330:Drosophila / Q000196:embryology / Q000235:genetics; D020869:Gene Expression Profiling; D018507:Gene Expression Regulation, Developmental / Q000235:genetics*; D016678:Genome; D008954:Models, Biological; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D014158:Transcription, Genetic / Q000235:genetics