and together regulate a postmitotic derepression circuit to govern laminar fate specification in the murine neocortex.

A derepression mode of cell-fate specification involving the transcriptional repressors Tbr1, Fezf2, Satb2, and Ctip2 operates in neocortical projection neurons to specify six layer identities in sequence. Less well understood is how laminar fate transitions are regulated in cortical progenitors. The proneural genes and cooperate in progenitors to control the temporal switch from neurogenesis to gliogenesis.

Rax is a selector gene for mediobasal hypothalamic cell types.

The brain plays a central role in controlling energy, glucose, and lipid homeostasis, with specialized neurons within nuclei of the mediobasal hypothalamus, namely the arcuate (ARC) and ventromedial (VMH), tasked with proper signal integration. Exactly how the exquisite cytoarchitecture and underlying circuitry becomes established within these nuclei remains largely unknown, in part because hypothalamic developmental programs are just beginning to be elucidated. Here, we demonstrate that the Retina and anterior neural fold homeobox (Rax) gene plays a key role in establishing ARC and VMH nuclei in mice.

βPix plays a dual role in cerebral vascular stability and angiogenesis, and interacts with integrin αvβ8.

The growth of new blood vessels by angiogenesis and their stabilization by the recruitment of perivascular mural cells are thought to be two sequential, yet independent events. Here we identify molecular links between both processes through the βPix and integrin α(v)β(8) proteins. Bubblehead (bbh) mutants with a genetic mutation in βPix show defective vascular stabilization.

Efficient gene delivery into multiple CNS territories using in utero electroporation.

The ability to manipulate gene expression is the cornerstone of modern day experimental embryology, leading to the elucidation of multiple developmental pathways. Several powerful and well established transgenic technologies are available to manipulate gene expression levels in mouse, allowing for the generation of both loss- and gain-of-function models. However, the generation of mouse transgenics is both costly and time consuming.