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A genetically specified connectomics approach applied to long-range feeding regulatory circuits
Synaptic connectivity and molecular composition provide a blueprint for information processing in neural circuits. Detailed structural analysis of neural circuits requires nanometer resolution, which can be obtained with serial section electron microscopy. However, this technique remains challenging...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4292906/ https://www.ncbi.nlm.nih.gov/pubmed/25362474 http://dx.doi.org/10.1038/nn.3854 |
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author | Atasoy, Deniz Betley, J. Nicholas Li, Wei-Ping Su, Helen H. Sertel, Sinem M. Scheffer, Louis K. Simpson, Julie H. Fetter, Richard D. Sternson, Scott M. |
author_facet | Atasoy, Deniz Betley, J. Nicholas Li, Wei-Ping Su, Helen H. Sertel, Sinem M. Scheffer, Louis K. Simpson, Julie H. Fetter, Richard D. Sternson, Scott M. |
author_sort | Atasoy, Deniz |
collection | PubMed |
description | Synaptic connectivity and molecular composition provide a blueprint for information processing in neural circuits. Detailed structural analysis of neural circuits requires nanometer resolution, which can be obtained with serial section electron microscopy. However, this technique remains challenging for reconstructing molecularly defined synapses. We used a Genetically Encoded Synaptic marker for Electron Microscopy (GESEM) based on intra-vesicular generation of electron-dense labeling in axonal boutons. This approach allowed identification of synapses from Cre recombinase-expressing or GAL4-expressing neurons in the mouse and fly with excellent preservation of ultrastructure. We applied this tool to visualize long-range connectivity of AGRP and POMC neurons in the mouse, two molecularly defined hypothalamic populations important for feeding behavior. Combining selective ultrastructural reconstruction of neuropil with functional and viral circuit mapping, we characterized some basic features of circuit organization for axon projections of these cell types. These experiments demonstrate that GESEM-labeling enables long-range connectomics with molecularly defined cell types. |
format | Online Article Text |
id | pubmed-4292906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-42929062015-06-01 A genetically specified connectomics approach applied to long-range feeding regulatory circuits Atasoy, Deniz Betley, J. Nicholas Li, Wei-Ping Su, Helen H. Sertel, Sinem M. Scheffer, Louis K. Simpson, Julie H. Fetter, Richard D. Sternson, Scott M. Nat Neurosci Article Synaptic connectivity and molecular composition provide a blueprint for information processing in neural circuits. Detailed structural analysis of neural circuits requires nanometer resolution, which can be obtained with serial section electron microscopy. However, this technique remains challenging for reconstructing molecularly defined synapses. We used a Genetically Encoded Synaptic marker for Electron Microscopy (GESEM) based on intra-vesicular generation of electron-dense labeling in axonal boutons. This approach allowed identification of synapses from Cre recombinase-expressing or GAL4-expressing neurons in the mouse and fly with excellent preservation of ultrastructure. We applied this tool to visualize long-range connectivity of AGRP and POMC neurons in the mouse, two molecularly defined hypothalamic populations important for feeding behavior. Combining selective ultrastructural reconstruction of neuropil with functional and viral circuit mapping, we characterized some basic features of circuit organization for axon projections of these cell types. These experiments demonstrate that GESEM-labeling enables long-range connectomics with molecularly defined cell types. 2014-11-02 2014-12 /pmc/articles/PMC4292906/ /pubmed/25362474 http://dx.doi.org/10.1038/nn.3854 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Atasoy, Deniz Betley, J. Nicholas Li, Wei-Ping Su, Helen H. Sertel, Sinem M. Scheffer, Louis K. Simpson, Julie H. Fetter, Richard D. Sternson, Scott M. A genetically specified connectomics approach applied to long-range feeding regulatory circuits |
title | A genetically specified connectomics approach applied to long-range feeding regulatory circuits |
title_full | A genetically specified connectomics approach applied to long-range feeding regulatory circuits |
title_fullStr | A genetically specified connectomics approach applied to long-range feeding regulatory circuits |
title_full_unstemmed | A genetically specified connectomics approach applied to long-range feeding regulatory circuits |
title_short | A genetically specified connectomics approach applied to long-range feeding regulatory circuits |
title_sort | genetically specified connectomics approach applied to long-range feeding regulatory circuits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4292906/ https://www.ncbi.nlm.nih.gov/pubmed/25362474 http://dx.doi.org/10.1038/nn.3854 |
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