title: Expression pattern analysis of regulatory transcription factors in Caenorhabditis elegans.
abstract: Expression pattern data are fundamental to understanding transcriptional regulatory networks and the biological significance of such networks. For Caenorhabditis elegans, expression pattern analysis of transcription factor genes, with cellular resolution, typically involves generation of transcription factor gene/reporter gene fusions. This is followed by the creation of C. elegans strains transgenic for, and determination of expression patterns driven by, these fusions. Physiologically relevant regulatory relationships between transcription factors are both inferred from their expression patterns, in combination with protein-DNA interaction data, and evidenced from alterations of expression patterns when networks are disturbed.
authors.affiliation: Faculty of Biological Sciences, Institute of Integrative and Comparative Biology, The University of Leeds, Leeds, UK.
authors.forename: Huiyun
authors.initials: H
authors.lastname: Feng
authors.forename: Hannah L
authors.initials: HL
authors.lastname: Craig
authors.forename: Ian A
authors.initials: IA
authors.lastname: Hope
mesh_terms: D000818:Animals; D017173:Caenorhabditis elegans / Q000235:genetics* / Q000378:metabolism; D005786:Gene Expression Regulation / Q000235:genetics*; D053263:Gene Regulatory Networks / Q000235:genetics; D014157:Transcription Factors / Q000235:genetics* / Q000378:metabolism
chemical_list: D014157:Transcription Factors