The organisation of the Drosophila embryo into segmental units is orchestrated by combinatorial regulatory interactions between spatially patterned and temporally patterned transcription factors.
Single cell expression data can be used to determine how regulatory transcription factors and target genes are connected, and is especially useful when studying transcription factors controlling heterogeneous cell states.
The gene regulatory network controlling directed cell migration in a sea urchin is strikingly similar to a sub-circuit for eye development in Drosophila, suggesting that ancient systems-level controls may be adapted for diverse functions in different animals.
A large-scale transcription factor screen reveals over twenty novel adipogenic regulators: most notably ZEB1, which exerts essential transcriptional control of fat cell differentiation.
The phenotype of a gene regulatory network depends both qualitatively and quantitatively on the local genetic context of its individual components and cannot necessarily be predicted solely from network's topology.
Quantitative system-level analysis of a pattern-forming gene regulatory network in a non-model organism shows that dynamic changes in gene expression evolve through quantitative system drift.
The conserved biochemical activity of the duplicate Bab transcription factors were integrated into the regulatory hierarchy of an evolving gene regulatory network by binding site gains in a target gene's cis-regulatory region.
Recent functional changes in ancient duplicate genes led to the evolution of divergent regulatory and metabolic strategies by the GALactose gene networks of two yeast species.
A resource of p63-regulated genes, genomic loci bound by p63, p63 DNA recognition motifs, and potential co-factors is generated through a meta-analysis of high-throughput datasets.
