Transcriptional linkage analysis with in vivo AAV-Perturb-seq

Nature. 2023 Oct;622(7982):367-375. doi: 10.1038/s41586-023-06570-y. Epub 2023 Sep 20.

Abstract

The ever-growing compendium of genetic variants associated with human pathologies demands new methods to study genotype-phenotype relationships in complex tissues in a high-throughput manner1,2. Here we introduce adeno-associated virus (AAV)-mediated direct in vivo single-cell CRISPR screening, termed AAV-Perturb-seq, a tuneable and broadly applicable method for transcriptional linkage analysis as well as high-throughput and high-resolution phenotyping of genetic perturbations in vivo. We applied AAV-Perturb-seq using gene editing and transcriptional inhibition to systematically dissect the phenotypic landscape underlying 22q11.2 deletion syndrome3,4 genes in the adult mouse brain prefrontal cortex. We identified three 22q11.2-linked genes involved in known and previously undescribed pathways orchestrating neuronal functions in vivo that explain approximately 40% of the transcriptional changes observed in a 22q11.2-deletion mouse model. Our findings suggest that the 22q11.2-deletion syndrome transcriptional phenotype found in mature neurons may in part be due to the broad dysregulation of a class of genes associated with disease susceptibility that are important for dysfunctional RNA processing and synaptic function. Our study establishes a flexible and scalable direct in vivo method to facilitate causal understanding of biological and disease mechanisms with potential applications to identify genetic interventions and therapeutic targets for treating disease.

MeSH terms

  • Animals
  • CRISPR-Cas Systems* / genetics
  • Dependovirus* / genetics
  • DiGeorge Syndrome / drug therapy
  • DiGeorge Syndrome / genetics
  • Disease Models, Animal
  • Gene Editing*
  • Genetic Association Studies* / methods
  • Genetic Predisposition to Disease
  • Humans
  • Mice
  • Neurons / metabolism
  • Phenotype
  • Prefrontal Cortex / metabolism
  • RNA Processing, Post-Transcriptional
  • Single-Cell Analysis* / methods
  • Synapses / pathology
  • Transcription, Genetic* / genetics