Massively parallel in vivo Perturb-seq reveals cell-type-specific transcriptional networks in cortical development

  • Xinhe Zheng
  • , Boli Wu
  • , Yuejia Liu
  • , Sean K. Simmons
  • , Kwanho Kim
  • , Grace S. Clarke
  • , Abdullah Ashiq
  • , Joshua Park
  • , Jiwen Li
  • , Zhilin Wang
  • , Liqi Tong
  • , Qizhao Wang
  • , Keerthi T. Rajamani
  • , Rodrigo Muñoz-Castañeda
  • , Shang Mu
  • , Tianbo Qi
  • , Yunxiao Zhang
  • , Zi Chao Ngiam
  • , Naoto Ohte
  • , Carina Hanashima
  • Zhuhao Wu, Xiangmin Xu, Joshua Z. Levin, Xin Jin*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Leveraging AAVs’ versatile tropism and labeling capacity, we expanded the scale of in vivo CRISPR screening with single-cell transcriptomic phenotyping across embryonic to adult brains and peripheral nervous systems. Through extensive tests of 86 vectors across AAV serotypes combined with a transposon system, we substantially amplified labeling efficacy and accelerated in vivo gene delivery from weeks to days. Our proof-of-principle in utero screen identified the pleiotropic effects of Foxg1, highlighting its tight regulation of distinct networks essential for cell fate specification of Layer 6 corticothalamic neurons. Notably, our platform can label >6% of cerebral cells, surpassing the current state-of-the-art efficacy at <0.1% by lentivirus, to achieve analysis of over 30,000 cells in one experiment and enable massively parallel in vivo Perturb-seq. Compatible with various phenotypic measurements (single-cell or spatial multi-omics), it presents a flexible approach to interrogate gene function across cell types in vivo, translating gene variants to their causal function.

Original languageEnglish
Pages (from-to)3236-3248.e21
JournalCell
Volume187
Issue number13
DOIs
StatePublished - 20 Jun 2024
Externally publishedYes

Keywords

  • AAV vectors
  • CRISPR screen
  • brain development
  • corticogenesis
  • in vivo Perturb-seq
  • single cell genomics

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