PUBLICATION
Teasing out T-box targets in early mesoderm
- Authors
- Wardle, F.C., and Papaioannou, V.E.
- ID
- ZDB-PUB-080915-6
- Date
- 2008
- Source
- Current opinion in genetics & development 18(5): 418-425 (Review)
- Registered Authors
- Wardle, Fiona
- Keywords
- none
- MeSH Terms
-
- Animals
- Body Patterning/genetics*
- Cell Differentiation/genetics
- Fetal Proteins/genetics
- Fetal Proteins/metabolism
- Fetal Proteins/physiology
- Gene Expression Regulation, Developmental
- Mesoderm/growth & development*
- Mesoderm/metabolism
- Mice
- Models, Genetic
- Signal Transduction
- Somites/growth & development
- T-Box Domain Proteins/genetics
- T-Box Domain Proteins/metabolism
- T-Box Domain Proteins/physiology*
- Zebrafish/embryology*
- Zebrafish/genetics
- Zebrafish/metabolism
- Zebrafish Proteins/genetics
- Zebrafish Proteins/metabolism
- Zebrafish Proteins/physiology
- PubMed
- 18778771 Full text @ Curr. Opin. Genet. Dev.
Citation
Wardle, F.C., and Papaioannou, V.E. (2008) Teasing out T-box targets in early mesoderm. Current opinion in genetics & development. 18(5):418-425.
Abstract
T-box transcription factor genes are widely conserved in metazoan development and widely involved in developmental processes. With the phase of T-box gene discovery winding down, the phase of transcriptional target discovery for T-box transcription factors is finally taking off and yielding rich rewards. Mutant phenotypes in mouse and zebrafish as well as morpholino studies in zebrafish have helped to link the T-box genes to a variety of signaling pathways through diverse target genes and feedback loops. Particularly in early mesoderm development, it is emerging that a network of T-box genes interacts with Wnt/beta-catenin and Notch/Delta signaling pathways, among others, to control the important processes of mesoderm specification, somite segmentation, and left/right body axis determination.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping