Periodic Reporting for period 1 - Glial Patterning (The genetic basis for glial differentiation in the developing zebrafish retina.)
Berichtszeitraum: 2016-03-01 bis 2018-02-28
The overall objectives of this study were:
1) To defining the retinal glia differentiation temporally. The morphological and physiological changes that retinal glia go through over the course of their development have not yet been defined. Here we carefully documented the retinal glial differentiation over time to test the if glial differentiation can be temporally segregated into distinct developmental stages.
2) To develop a candidate CRISPR screen to identify factors and generate stable mutant lines to comprehensively document their developmental functions in MG and their requirement for retinal glial patterning.
3) To generate the first temporal transcriptomic analysis of glial cell population over the course of their development and in turn, provide novel insights into the distinct regulatory networks control retinal glial patterning during development.
We conducted transcriptomics on each defining stage of MG development and identified the genetic programs that give rise to each of the defining features (topographical regions) of these cell morphologies. These large transcriptomic databases serve as blueprints of the cell-specific differentiation process.
Recent advances in CRISPR technology that we and others have made have allowed us to use this dataset to conduct large-scale reverse genetic screens and for the first time test the functions of these differentiation factors in-mass. To date, we have screened over 130 genes using this approach and identified morphological defects in all MG compartments. Thus, we have developed a novel strategy for identifying distinct genetic pathways that drive morphological differentiation events that can experimentally be validated.
In combination with our current reverse genetic approaches, these studies will give us tremendous insights into a currently undefined area of glial biology. The implications of this research also provide novel insights into cellular evolution and have the potential to impact studies on many neural disease-related genes.