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Massively parallel in vivo Perturb-seq reveals cell-type-specific transcriptional networks in cortical development.
- Source :
-
Cell [Cell] 2024 Jun 20; Vol. 187 (13), pp. 3236-3248.e21. Date of Electronic Publication: 2024 May 20. - Publication Year :
- 2024
-
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.<br />Competing Interests: Declaration of interests X.J. and X.Z. are co-inventors on in vivo AAV-based Perturb-seq and CRISPR inventions filed by Scripps Research relating to the work in this manuscript.<br /> (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Animals
Female
Humans
Mice
Cerebral Cortex metabolism
Cerebral Cortex cytology
CRISPR-Cas Systems genetics
Dependovirus genetics
Forkhead Transcription Factors metabolism
Forkhead Transcription Factors genetics
Genetic Vectors metabolism
Mice, Inbred C57BL
Nerve Tissue Proteins metabolism
Nerve Tissue Proteins genetics
Neurons metabolism
Neurons cytology
Transcriptome genetics
Cell Line
Transcription, Genetic
Gene Regulatory Networks
Single-Cell Analysis methods
Subjects
Details
- Language :
- English
- ISSN :
- 1097-4172
- Volume :
- 187
- Issue :
- 13
- Database :
- MEDLINE
- Journal :
- Cell
- Publication Type :
- Academic Journal
- Accession number :
- 38772369
- Full Text :
- https://doi.org/10.1016/j.cell.2024.04.050