ETS gene Pea3 controls the central position and terminal arborization of specific motor neuron pools.

The projection of developing axons to their targets is a crucial step in the assembly of neuronal circuits. In the spinal cord, the differentiation of specific motor neuron pools is associated with the expression of ETS class transcription factors, notably PEA3 and ER81. Their initial expression coincides with the arrival of motor axons in the vicinity of muscle targets and depends on limb-derived signals. We show that in Pea3 mutant mice, the axons of specific motor neuron pools fail to branch normally within their target muscles, and the cell bodies of these motor neurons are mispositioned within the spinal cord. Thus, the induction of an intrinsic program of ETS gene expression by peripheral signals is required to coordinate the central position and terminal arborization of specific sets of spinal motor neurons.

A high-throughput-compatible 3D microtissue co-culture system for phenotypic RNAi screening applications.

Cancer cells in vivo are coordinately influenced by an interactive 3D microenvironment. However, identification of drug targets and initial target validations are usually performed in 2D cell culture systems. The opportunity to design 3D co-culture models that reflect, at least in part, these heterotypic interactions, when coupled with RNA interference, would enable investigations on the phenotypic impact of gene function in a model that more closely resembles tumor growth in vivo. Here we describe a high-throughput-compatible method to discover cancer gene functions in a co-culture 3D tumor microtissue model system composed of human DLD1 colon cancer cells together with murine fibroblasts. Strikingly, DLD1 cells in this model failed to expand upon siRNA-mediated depletion of Kif11/Eg5, a member of the mitotic kinesin-like motor protein family. In contrast, these cancer cells proved to be more resistant to Kif11/Eg5 depletion when grown as a 2D monolayer. These results suggest that growth of certain cancer cells in 3D versus 2D can unveil differential dependencies on specific genes for their survival. Moreover, they denote that the high-throughput-compatible, hanging drop technology-based 3D co-culture model will enable the discovery, characterization, and validation of gene functions in key biological and pathological processes.