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Combinatorial quantification of distinct neural projections from retrograde tracing

Comprehensive quantification of neuronal architectures underlying anatomical brain connectivity remains challenging. We introduce a method to identify distinct axonal projection patterns from a source to a set of target regions and the count of neurons with each pattern. A source region projecting t...

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Autores principales: Venkadesh, Siva, Santarelli, Anthony, Boesen, Tyler, Dong, Hong-Wei, Ascoli, Giorgio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638408/
https://www.ncbi.nlm.nih.gov/pubmed/37949860
http://dx.doi.org/10.1038/s41467-023-43124-2
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author Venkadesh, Siva
Santarelli, Anthony
Boesen, Tyler
Dong, Hong-Wei
Ascoli, Giorgio A.
author_facet Venkadesh, Siva
Santarelli, Anthony
Boesen, Tyler
Dong, Hong-Wei
Ascoli, Giorgio A.
author_sort Venkadesh, Siva
collection PubMed
description Comprehensive quantification of neuronal architectures underlying anatomical brain connectivity remains challenging. We introduce a method to identify distinct axonal projection patterns from a source to a set of target regions and the count of neurons with each pattern. A source region projecting to n targets could have 2(n)-1 theoretically possible projection types, although only a subset of these types typically exists. By injecting uniquely labeled retrograde tracers in k target regions (k < n), one can experimentally count the cells expressing different color combinations in the source region. The neuronal counts for different color combinations from n-choose-k experiments provide constraints for a model that is robustly solvable using evolutionary algorithms. Here, we demonstrate this method’s reliability for 4 targets using simulated triple injection experiments. Furthermore, we illustrate the experimental application of this framework by quantifying the projections of male mouse primary motor cortex to the primary and secondary somatosensory and motor cortices.
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spelling pubmed-106384082023-11-11 Combinatorial quantification of distinct neural projections from retrograde tracing Venkadesh, Siva Santarelli, Anthony Boesen, Tyler Dong, Hong-Wei Ascoli, Giorgio A. Nat Commun Article Comprehensive quantification of neuronal architectures underlying anatomical brain connectivity remains challenging. We introduce a method to identify distinct axonal projection patterns from a source to a set of target regions and the count of neurons with each pattern. A source region projecting to n targets could have 2(n)-1 theoretically possible projection types, although only a subset of these types typically exists. By injecting uniquely labeled retrograde tracers in k target regions (k < n), one can experimentally count the cells expressing different color combinations in the source region. The neuronal counts for different color combinations from n-choose-k experiments provide constraints for a model that is robustly solvable using evolutionary algorithms. Here, we demonstrate this method’s reliability for 4 targets using simulated triple injection experiments. Furthermore, we illustrate the experimental application of this framework by quantifying the projections of male mouse primary motor cortex to the primary and secondary somatosensory and motor cortices. Nature Publishing Group UK 2023-11-10 /pmc/articles/PMC10638408/ /pubmed/37949860 http://dx.doi.org/10.1038/s41467-023-43124-2 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Venkadesh, Siva
Santarelli, Anthony
Boesen, Tyler
Dong, Hong-Wei
Ascoli, Giorgio A.
Combinatorial quantification of distinct neural projections from retrograde tracing
title Combinatorial quantification of distinct neural projections from retrograde tracing
title_full Combinatorial quantification of distinct neural projections from retrograde tracing
title_fullStr Combinatorial quantification of distinct neural projections from retrograde tracing
title_full_unstemmed Combinatorial quantification of distinct neural projections from retrograde tracing
title_short Combinatorial quantification of distinct neural projections from retrograde tracing
title_sort combinatorial quantification of distinct neural projections from retrograde tracing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638408/
https://www.ncbi.nlm.nih.gov/pubmed/37949860
http://dx.doi.org/10.1038/s41467-023-43124-2
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