Conserved Gsx2/Ind homeodomain monomer versus homodimer DNA binding defines regulatory outcomes in flies and mice.
Joseph SalomoneShenyue QinTemesgen D FufaBrittany CainEdward FarrowBin GuanRobert B HufnagelMasato NakafukuHee-Woong LimKenneth CampbellBrian GebeleinPublished in: Genes & development (2020)
How homeodomain proteins gain sufficient specificity to control different cell fates has been a long-standing problem in developmental biology. The conserved Gsx homeodomain proteins regulate specific aspects of neural development in animals from flies to mammals, and yet they belong to a large transcription factor family that bind nearly identical DNA sequences in vitro. Here, we show that the mouse and fly Gsx factors unexpectedly gain DNA binding specificity by forming cooperative homodimers on precisely spaced and oriented DNA sites. High-resolution genomic binding assays revealed that Gsx2 binds both monomer and homodimer sites in the developing mouse ventral telencephalon. Importantly, reporter assays showed that Gsx2 mediates opposing outcomes in a DNA binding site-dependent manner: Monomer Gsx2 binding represses transcription, whereas homodimer binding stimulates gene expression. In Drosophila, the Gsx homolog, Ind, similarly represses or stimulates transcription in a site-dependent manner via an autoregulatory enhancer containing a combination of monomer and homodimer sites. Integrating these findings, we test a model showing how the homodimer to monomer site ratio and the Gsx protein levels defines gene up-regulation versus down-regulation. Altogether, these data serve as a new paradigm for how cooperative homeodomain transcription factor binding can increase target specificity and alter regulatory outcomes.
Keyphrases
- transcription factor
- dna binding
- genome wide identification
- molecularly imprinted
- gene expression
- high resolution
- single cell
- high throughput
- circulating tumor
- dna methylation
- cell free
- single molecule
- structural basis
- spinal cord
- cell therapy
- metabolic syndrome
- stem cells
- mesenchymal stem cells
- genome wide
- big data
- deep brain stimulation
- glycemic control
- machine learning
- bone marrow
- liquid chromatography