Massive multiplexing of spatially resolved single neuron projections with axonal BARseq

Neurons in the cortex are heterogeneous, sending diverse axonal projections to multiple brain regions. Unraveling the logic of these projections requires single-neuron resolution. Although a growing number of techniques have enabled high-throughput reconstruction, these techniques are typically limited to dozens or at most hundreds of neurons per brain, requiring that statistical analyses combine data from different specimens. Here we present axonal BARseq, a high-throughput approach based on reading out nucleic acid barcodes using in situ RNA sequencing, which enables analysis of even densely labeled neurons. As a proof of principle, we have mapped the long-range projections of >8000 primary auditory cortex neurons from a single male mouse. We identified major cell types based on projection targets and axonal trajectory. The large sample size enabled us to systematically quantify the projections of intratelencephalic (IT) neurons, and revealed that individual IT neurons project to different layers in an area-dependent fashion. Axonal BARseq is a powerful technique for studying the heterogeneity of single neuronal projections at high throughput within individual brains.

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Publication Details

Journal
Nature Communications
Published
2024-09-27
DOI
https://doi.org/10.1038/s41467-024-52756-x
Citations
17
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
9.94

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article

Massive multiplexing of spatially resolved single neuron projections with axonal BARseq

Gilbert L. Henry, Xiaoyin Chen, Anthony M. Zador, Huiqing Zhan et al.
17 citations
Nature Communications
Cell Image Analysis Techniques
9.94
article

Massive multiplexing of spatially resolved single neuron projections with axonal BARseq

Gilbert L. Henry, Xiaoyin Chen, Anthony M. Zador, Huiqing Zhan, Li Yuan
article en
17 citations

Abstract

Neurons in the cortex are heterogeneous, sending diverse axonal projections to multiple brain regions. Unraveling the logic of these projections requires single-neuron resolution. Although a growing number of techniques have enabled high-throughput reconstruction, these techniques are typically limited to dozens or at most hundreds of neurons per brain, requiring that statistical analyses combine data from different specimens. Here we present axonal BARseq, a high-throughput approach based on reading out nucleic acid barcodes using in situ RNA sequencing, which enables analysis of even densely labeled neurons. As a proof of principle, we have mapped the long-range projections of >8000 primary auditory cortex neurons from a single male mouse. We identified major cell types based on projection targets and axonal trajectory. The large sample size enabled us to systematically quantify the projections of intratelencephalic (IT) neurons, and revealed that individual IT neurons project to different layers in an area-dependent fashion. Axonal BARseq is a powerful technique for studying the heterogeneity of single neuronal projections at high throughput within individual brains.

Nature CommunicationsVol. 15(1)
Allen Institute for Brain Science (US), Cold Spring Harbor Laboratory (US), Allen Institute (US)
National Institutes of Health, Intelligence Advanced Research Projects Activity
Openalex Percentile: Top 2%
Cell Image Analysis Techniques
9.94
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