PLoS GeneticsNeurosciencePeer-reviewed journal article
Phenotypic screening using synthetic CRISPR gRNAs reveals pro-regenerative genes in spinal cord injury
Marcus KeatingeiD, Themistoklis M. TsarouchasiD, Tahimina Munir, Nicola J. PorteriD, Juan LarraziD, Davide GianniiD, Hui‐Hsin TsaiiD, Catherina Gwynne BeckeriD, David Anthony LyonsiD, Thomas BeckeriD
Abstract
Acute CRISPR/Cas9 targeting offers the opportunity for scalable phenotypic genetic screening in zebrafish. However, the unpredictable efficiency of CRISPR gRNA (CrRNA) activity is a limiting factor. Here we describe how to resolve this by prescreening CrRNAs for high activity in vivo, using a simple standardised assay based on restriction fragment length polymorphism analysis (RFLP). We targeted 350 genomic sites with synthetic RNA Oligo guide RNAs (sCrRNAs) in zebrafish embryos and found that almost half exhibited > 90% efficiency in our RFLP assay. Having the ability to preselect highly active sCrRNAs (haCRs), we carried out a focussed phenotypic screen of 30 macrophage-related genes in spinal cord regeneration and found 10 genes whose disruption impaired axonal regeneration. Four (tgfb1a, tgfb3, tnfa, sparc) out of 5 stable mutants subsequently analysed retained the acute haCR phenotype, validating the efficiency of this approach. Mechanistically, lack of tgfb1a leads to a prolonged immune response after injury, which inhibits regeneration. Our rapid and scalable screening approach has identified functional regulators of spinal cord regeneration, and can be applied to study any biological function of interest. HIGHLIGHTS- Synthetic CRISPR gRNAs are highly active - in vivo pre-screening allows rapid assessment of CRISPR gRNA activity - Phenotypic CRISPR screen reveals crucial genes for spinal cord regeneration - tgfb1a promotes spinal regeneration by controlling inflammation
- organism: zebrafish
- assay: CRISPR screen
- research focus: perturbation response prediction
- approach: experimental assay
- Citations
- 75
- FWCI
- 6.27
- Field percentile
- top 2%
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