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Massive Multiplexing of Spatially Resolved Single Neuron Projections with Axonal BARseq
Neurons in the cortex are heterogenous, 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 limit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949159/ https://www.ncbi.nlm.nih.gov/pubmed/36824753 http://dx.doi.org/10.1101/2023.02.18.528865 |
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author | Yuan, Li Chen, Xiaoyin Zhan, Huiqing Gilbert, Henry L. Zador, Anthony M. |
author_facet | Yuan, Li Chen, Xiaoyin Zhan, Huiqing Gilbert, Henry L. Zador, Anthony M. |
author_sort | Yuan, Li |
collection | PubMed |
description | Neurons in the cortex are heterogenous, 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 mouse primary auditory cortex neurons from a single brain. 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. |
format | Online Article Text |
id | pubmed-9949159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-99491592023-02-24 Massive Multiplexing of Spatially Resolved Single Neuron Projections with Axonal BARseq Yuan, Li Chen, Xiaoyin Zhan, Huiqing Gilbert, Henry L. Zador, Anthony M. bioRxiv Article Neurons in the cortex are heterogenous, 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 mouse primary auditory cortex neurons from a single brain. 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. Cold Spring Harbor Laboratory 2023-02-18 /pmc/articles/PMC9949159/ /pubmed/36824753 http://dx.doi.org/10.1101/2023.02.18.528865 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Yuan, Li Chen, Xiaoyin Zhan, Huiqing Gilbert, Henry L. Zador, Anthony M. Massive Multiplexing of Spatially Resolved Single Neuron Projections with Axonal BARseq |
title | Massive Multiplexing of Spatially Resolved Single Neuron Projections with Axonal BARseq |
title_full | Massive Multiplexing of Spatially Resolved Single Neuron Projections with Axonal BARseq |
title_fullStr | Massive Multiplexing of Spatially Resolved Single Neuron Projections with Axonal BARseq |
title_full_unstemmed | Massive Multiplexing of Spatially Resolved Single Neuron Projections with Axonal BARseq |
title_short | Massive Multiplexing of Spatially Resolved Single Neuron Projections with Axonal BARseq |
title_sort | massive multiplexing of spatially resolved single neuron projections with axonal barseq |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949159/ https://www.ncbi.nlm.nih.gov/pubmed/36824753 http://dx.doi.org/10.1101/2023.02.18.528865 |
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