Cargando…
Sparse postnatal labeling and quantification of superficial cortical cell synapses in the mouse neocortex
We present a strategy for measuring the density of presynaptic boutons of superficial neuronal cells in the mouse neocortex. First, we show how to sparsely label individual postmitotic cells by neonatal pial-surface electroporation. Then, we present a custom-made code that allows quantification of t...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663983/ https://www.ncbi.nlm.nih.gov/pubmed/36386881 http://dx.doi.org/10.1016/j.xpro.2022.101837 |
_version_ | 1784831002491748352 |
---|---|
author | Gesuita, Lorenzo Argunsah, Ali Özgür Karayannis, Theofanis |
author_facet | Gesuita, Lorenzo Argunsah, Ali Özgür Karayannis, Theofanis |
author_sort | Gesuita, Lorenzo |
collection | PubMed |
description | We present a strategy for measuring the density of presynaptic boutons of superficial neuronal cells in the mouse neocortex. First, we show how to sparsely label individual postmitotic cells by neonatal pial-surface electroporation. Then, we present a custom-made code that allows quantification of the density of presynaptic boutons along axonal processes. Although we applied this strategy to somatostatin-positive cells, a major population of cortical interneurons, the same approach can be adjusted to target other types of neuronal cells. For complete details on the use and execution of this protocol, please refer to Gesuita et al. (2022).(1) |
format | Online Article Text |
id | pubmed-9663983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96639832022-11-15 Sparse postnatal labeling and quantification of superficial cortical cell synapses in the mouse neocortex Gesuita, Lorenzo Argunsah, Ali Özgür Karayannis, Theofanis STAR Protoc Protocol We present a strategy for measuring the density of presynaptic boutons of superficial neuronal cells in the mouse neocortex. First, we show how to sparsely label individual postmitotic cells by neonatal pial-surface electroporation. Then, we present a custom-made code that allows quantification of the density of presynaptic boutons along axonal processes. Although we applied this strategy to somatostatin-positive cells, a major population of cortical interneurons, the same approach can be adjusted to target other types of neuronal cells. For complete details on the use and execution of this protocol, please refer to Gesuita et al. (2022).(1) Elsevier 2022-11-11 /pmc/articles/PMC9663983/ /pubmed/36386881 http://dx.doi.org/10.1016/j.xpro.2022.101837 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Gesuita, Lorenzo Argunsah, Ali Özgür Karayannis, Theofanis Sparse postnatal labeling and quantification of superficial cortical cell synapses in the mouse neocortex |
title | Sparse postnatal labeling and quantification of superficial cortical cell synapses in the mouse neocortex |
title_full | Sparse postnatal labeling and quantification of superficial cortical cell synapses in the mouse neocortex |
title_fullStr | Sparse postnatal labeling and quantification of superficial cortical cell synapses in the mouse neocortex |
title_full_unstemmed | Sparse postnatal labeling and quantification of superficial cortical cell synapses in the mouse neocortex |
title_short | Sparse postnatal labeling and quantification of superficial cortical cell synapses in the mouse neocortex |
title_sort | sparse postnatal labeling and quantification of superficial cortical cell synapses in the mouse neocortex |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663983/ https://www.ncbi.nlm.nih.gov/pubmed/36386881 http://dx.doi.org/10.1016/j.xpro.2022.101837 |
work_keys_str_mv | AT gesuitalorenzo sparsepostnatallabelingandquantificationofsuperficialcorticalcellsynapsesinthemouseneocortex AT argunsahaliozgur sparsepostnatallabelingandquantificationofsuperficialcorticalcellsynapsesinthemouseneocortex AT karayannistheofanis sparsepostnatallabelingandquantificationofsuperficialcorticalcellsynapsesinthemouseneocortex |