Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1785133590632202240 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10638408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT venkadeshsiva combinatorialquantificationofdistinctneuralprojectionsfromretrogradetracing AT santarellianthony combinatorialquantificationofdistinctneuralprojectionsfromretrogradetracing AT boesentyler combinatorialquantificationofdistinctneuralprojectionsfromretrogradetracing AT donghongwei combinatorialquantificationofdistinctneuralprojectionsfromretrogradetracing AT ascoligiorgioa combinatorialquantificationofdistinctneuralprojectionsfromretrogradetracing |