Maria H. Chahrour

This study uses CRISPRi Perturb-seq to analyze 1,408 autism risk genes in human cortical neurons, identifying 215 genes that cause global transcriptomic dysregulation and uncovering shared transcriptional pathways.

The paper identifies dynamic regulatory network hubs in human lineage specification using Perturb-Seq and constructs a deep learning model to predict perturbed TFs in patient transcriptomes.

This study benchmarks and optimizes Perturb-seq in human pluripotent stem cells, identifying shared regulatory networks during cardiomyocyte differentiation.