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Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics
Understanding the routing of neuronal information requires the functional characterization of connections. Neuronal projections recruit large postsynaptic ensembles with distinct postsynaptic response types (PRTs). PRT is typically probed by low-throughput whole-cell electrophysiology and is not a s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482676/ https://www.ncbi.nlm.nih.gov/pubmed/37474808 http://dx.doi.org/10.1038/s41592-023-01965-1 |
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author | Csillag, Veronika Bizzozzero, Marianne Hiriart Noble, J. C. Reinius, Björn Fuzik, János |
author_facet | Csillag, Veronika Bizzozzero, Marianne Hiriart Noble, J. C. Reinius, Björn Fuzik, János |
author_sort | Csillag, Veronika |
collection | PubMed |
description | Understanding the routing of neuronal information requires the functional characterization of connections. Neuronal projections recruit large postsynaptic ensembles with distinct postsynaptic response types (PRTs). PRT is typically probed by low-throughput whole-cell electrophysiology and is not a selection criterion for single-cell RNA-sequencing (scRNA-seq). To overcome these limitations and target neurons based on specific PRTs for soma harvesting and subsequent scRNA-seq, we created Voltage-Seq. We established all-optical voltage imaging and recorded the PRT of 8,347 neurons in the mouse periaqueductal gray (PAG) evoked by the optogenetic activation of ventromedial hypothalamic (VMH) terminals. PRTs were classified and spatially resolved in the entire VMH-PAG connectome. We built an onsite analysis tool named VoltView to navigate soma harvesting towards target PRTs guided by a classifier that used the VMH-PAG connectome database as a reference. We demonstrated Voltage-seq by locating VMH-driven γ-aminobutyric acid-ergic neurons in the PAG, guided solely by the onsite classification in VoltView. |
format | Online Article Text |
id | pubmed-10482676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-104826762023-09-08 Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics Csillag, Veronika Bizzozzero, Marianne Hiriart Noble, J. C. Reinius, Björn Fuzik, János Nat Methods Article Understanding the routing of neuronal information requires the functional characterization of connections. Neuronal projections recruit large postsynaptic ensembles with distinct postsynaptic response types (PRTs). PRT is typically probed by low-throughput whole-cell electrophysiology and is not a selection criterion for single-cell RNA-sequencing (scRNA-seq). To overcome these limitations and target neurons based on specific PRTs for soma harvesting and subsequent scRNA-seq, we created Voltage-Seq. We established all-optical voltage imaging and recorded the PRT of 8,347 neurons in the mouse periaqueductal gray (PAG) evoked by the optogenetic activation of ventromedial hypothalamic (VMH) terminals. PRTs were classified and spatially resolved in the entire VMH-PAG connectome. We built an onsite analysis tool named VoltView to navigate soma harvesting towards target PRTs guided by a classifier that used the VMH-PAG connectome database as a reference. We demonstrated Voltage-seq by locating VMH-driven γ-aminobutyric acid-ergic neurons in the PAG, guided solely by the onsite classification in VoltView. Nature Publishing Group US 2023-07-20 2023 /pmc/articles/PMC10482676/ /pubmed/37474808 http://dx.doi.org/10.1038/s41592-023-01965-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Csillag, Veronika Bizzozzero, Marianne Hiriart Noble, J. C. Reinius, Björn Fuzik, János Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics |
title | Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics |
title_full | Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics |
title_fullStr | Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics |
title_full_unstemmed | Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics |
title_short | Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics |
title_sort | voltage-seq: all-optical postsynaptic connectome-guided single-cell transcriptomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482676/ https://www.ncbi.nlm.nih.gov/pubmed/37474808 http://dx.doi.org/10.1038/s41592-023-01965-1 |
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