Ryan A. Pak

TL;DR: Perturb-seq as mentioned in this paper combines droplet-based single-cell RNA-seq with a strategy for barcoding CRISPR-mediated perturbations, allowing many perturbation to be profiled in pooled format.

TL;DR: Insight is provided into how the three sensors of ER homeostasis monitor distinct types of stress and the ability of Perturb-seq to dissect complex cellular responses are highlighted.

TL;DR: A comprehensive algorithm that incorporates chromatin, position, and sequence features to accurately predict highly effective single guide RNAs (sgRNAs) for targeting nuclease-dead Cas9-mediated transcriptional repression (CRISPRi) and activation ( CRISPRa) is built.

TL;DR: This work combines empirical sgRNA selection with a dual-sgRNA library design to generate an ultra-compact, highly active, and rigorously compare CRISPRi effectors to show that the recently published Zim3-dCas9 provides the best balance between strong on-target knockdown and minimal nonspecific effects on cell growth or the transcriptome.