We are undertaking a genome-wide, cell based screen to identify genes that when depleted increase SynGAP abundance. Using a sgRNA/Cas9 library, we are targeting over 19,000 genes with greater than 70,000 guide RNAs in our screen. Using fluorescently tagged SynGAP, we sorted cells with increased SynGAP abundance using flow cytometry followed by next generation sequencing of the barcoded sgRNAs to identify those enriched in cells with greatest increase in SynGAP abundance. The candidate hits that we identify from this primary screen will be rigorously validated ultimately in neurons differentiated from induced pluripotent stem cells (iPSCs) derived from patients with SYNGAP1 mutations.