UC Berkeley

Systematically profiling the effects of genetic perturbations is a powerful approach that has revealed the molecular basis for a wide range of biological phenomena. The simple, programmable DNA recognition of CRISPR-Cas9 enables genome-wide genetic analysis in human cells and many other systems. Cas9 is guided by a short RNA to a complementary sequence in the genome, where it can introduce mutations or alter gene expression. Pooled libraries of guide RNAs (gRNAs) that individually target each gene in the genome allow us to introduce genetic perturbations systematically into a population of cells. A key challenge is measuring the phenotypic effects caused by individual guides in these pooled libraries and linking these phenotypes back to the associated gRNA, thereby finding the gene that is responsible. Gene expression changes provide a clear and sensitive phenotypic measure for many cellular processes. We sought a general approach to profile how the expression of a particular gene of interest changed when other genes were perturbed. We began with a library of gRNAs, each disrupting one gene, and linked these guides with an expression reporter containing a guide-specific nucleotide barcode. gRNAs that alter reporter expression will change the abundance of the expressed RNA barcode specifically associated with that guide. Deep sequencing of these expressed barcodes quantifies each of these guide-specific reporter expression effects individually within a pooled, complex population. We have implemented this strategy by combining CRISPR interference (CRISPRi) with barcoded expression reporter sequencing (CiBER-seq). CiBER-seq profiling in yeast recapitulated known regulation across a range of promoters. Notably, interrogation of the integrated stress response (ISR) revealed both well-studied and uncharacterized modes of regulation. While uncharged tRNAs activated the ISR, tRNA insufficiency also activated the reporter, independent of the uncharged tRNA sensor. By uncovering alternate triggers for ISR activation, we illustrate how precise, comprehensive CiBER-seq profiling provides a powerful and broadly applicable tool for dissecting genetic networks. We extend the CiBER-seq paradigm to interrogate mammalian systems and to explore new protein-centric biological questions.