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Genome-scale functional mapping of the mammalian whole brain with in vivo Perturb-seq
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Genome-scale functional mapping of the mammalian whole brain with in vivo Perturb-seq

Tuo Shi, Maria Korshunova, Seoyeon Kim +27 more
March 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.03.16.711480
94
%
Reproducible
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It ranks in the top 1% of preprints assessed in Genomics this quarter.
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Why this is interesting

The first genome-scale in vivo Perturb-seq atlas of the mouse brain dismantles the barrier between genetic association and cellular mechanism, revealing cell-type-restricted essentiality and that closely related disease genes drive diametrically opposing transcriptional programs.

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Summary

Genome-scale in vivo Perturb-seq profiling of 1,947 disease-associated genes across 7.7 million cells in the mouse brain reveals that genetic perturbations exhibit context-dependent essentiality and organize into modular transcriptional programs, with human neurodevelopmental disease genes producing cell-type-specific effects that converge on synaptic signaling pathways in cortical and subcortical neuronal populations.

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Main Claim 1 –

Whole-brain in vivo Perturb-seq profiles ~2,000 genes single-cell

Main Claim 2 –

Neuronal genetic essentiality is cell-type-dependent across perturbations

Main Claim 3 –

Core pathway gene KOs drive convergent neuronal transcriptional signatures

Main Claim 4 –

Perturbation transcriptomes cluster into coherent, modular response programs

Abstract

Functional genomics studies have provided critical insights into cell type-specific gene regulatory programs, but to date most have been conducted in wild-type tissues or cell cultures. Here, we present a gene expression functional atlas across the mouse brain. We use an enhanced in vivo Perturb-seq platform to analyze transcriptome-wide responses to loss of 1,947 disease-associated genes, profiling over 7.7 million cells spanning major brain regions and neuronal populations. We find striking cell-type-specific essentiality and transcriptional programs and show that closely related disease genes such as two NMDA receptor subunits can drive opposing transcriptional programs. Together, this work reveals insights into the genetics and mechanisms of neurodevelopmental, psychiatric, and neurodegenerative diseases in vivo, paving the way for the design of future genetic medicine.

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