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Here we describe a simple method we developed to dissect in vivo gene control of neuronal cytoarchitecture. Based on in vitro engineering of neuronal precursors, their transplantation into neonatal brain and paired morphometric evaluation of "test" and "control" cells, it allows to unveil functional implications of test genes in fine control of neuronal morphology in a fast and affordable way. To investigate in vivo gene control of neuronal architecture, three key technical issues must be addressed: (1) achieving an adequately patterned gene-of-interest (GOI) expression and an accurate quantitative control of it; (2) obtaining a properly segmented visualization of distinct neuronal silhouettes; (3) eliciting statistical significance of results while employing a limited number of animals.
When available, mouse mutant lines harboring tetracycline (tet)-controlled transgenes may be the best tool to address the first issue1. Alternatively, somatic transgenesis may be employed. In such cases, the transgene is delivered via electroporation2 or viral transduction3. Next, it is retained as an episome (e.g., upon standard electroporation4), or it is integrated into the genome (randomly, via retroviral integrase5; or in a defined location, via CRISPR-promoted homologous recombination (SLENDR)6).
Second, neuronal silhouette visualization may be achieved via (a) sparse uniform labeling or (b) dense differential labeling. As for sparse labeling, advanced Golgi-like methodologies may be employed7, selected neuronal minisets can be filled by biocytin8, and salt-and-pepper labeling can be obtained thanks to a sparsely expressed transgene. Such a transgene may display variegated transcription (Thy-EGFP)9 or may be activated by stochastic recombination (MORF)10. As for (b), state of art strategies include Cre-mediated stochastic recombination within a multi-floxed fluoroprotein transgene array (Brainbow)11, as well as piggyBac-transposase-driven genomic integration of fluoroprotein genes, previously delivered via somatic transgenesis (CLoNE)12.
As for the third issue, the morphometric outcome is often affected by a large random variability, originating from inter-animal differences and cell-injection contingencies. Because of this, a large number of animals is usually employed to achieve the statistical power necessary to assess GOI morphometric activity.
The approaches previously described often rely on advanced technical skills and require conspicuous financial resources, which may limit their diffusion within the scientific community. To circumvent these issues, we conceived an easy and straightforward pipeline to dissect gene control of neuroarchitecture in vivo in a fast and affordable way. This is inspired by a similar co-transplantation design previously developed for fast in vivo evaluation of antiblastic transgene activity13.
Specifically, it is thought that the co-transplantation of in vitro engineered "green" neural precursors ("test" and "control" cells) into a "black" recipient neonatal brain can simultaneously fix the three key issues listed above. In fact, in vitro lentiviral engineering of precursors, in well-controlled conditions, allows maintenance of variability of neuronal transgene expression at a minimum, far below that usually associated with in vivo somatic manipulations (performed previously14,15 and in our unpublished results). The resulting accurate control of gene expression is comparable with that achieved by tet-controlled transgenic models. However, costs of this procedure are far below those originating from maintenance of a transgenic mouse line. Next, free-hand cell injection is easy and requires minimal training. Moreover, the amount of labeled precursors injected into each brain can be easily tuned to achieve a sufficient cumulative number of sparsely distributed precursors, while also keeping the total number of transplanted animals at a minimum. Last but not least, co-injection of differently fluoro-labeled, "test" and "control" precursors and subsequent pairwise statistical analysis of the results counteract the effects of inter-animal experimental variability, allowing the reaching of statistical significance of results, even upon the analysis of a limited number of individuals13.
It should be emphasized that, albeit fast and cheap, this method has two main limitations. First, it is designed to investigate cell-autonomous gene control of neuronal architecture, and it is not appropriate to address environmental control. Second, as transplanted neuronal precursors reach their final location by a heterochronic schedule, this method is preferable to model neuroarchitectonics control occurring past migration completion.