<link rel="stylesheet" href="styles.f3b1fba60ec7970c.css">

A genetically specified connectomics approach applied to long-range feeding regulatory circuits

dc.authorid0000-0002-3325-8820
dc.contributor.authorAtasoy, Deniz
dc.contributor.authorBetley, Jan Nicholas
dc.contributor.authorLi, Wei-Ping
dc.contributor.authorHong Su, Helen
dc.contributor.authorSertel, Sinem M.
dc.contributor.authorScheffer, Louis K.
dc.contributor.authorSimpson, Julie H.
dc.contributor.authorFetter, Richard D.
dc.contributor.authorSternson, Scott M.
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T20:01:53Z
dc.date.available10.07.201910:49:13
dc.date.available2019-07-10T20:01:53Z
dc.date.issued2014
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Fizyoloji Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Rejeneratif ve Restoratif Tıp Araştırmaları Merkezi (REMER)
dc.descriptionWOS: 000345484000033
dc.descriptionPubMed ID: 25362474
dc.description.abstractSynaptic 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 the 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 that are 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. Our findings demonstrate that GESEM labeling enables long-range connectomics with molecularly defined cell types.
dc.description.sponsorshipHoward Hughes Medical Instituteen_US
dc.description.sponsorshipWe thank A. Wardlaw for mouse breeding and genotyping, K. Morris for HSV stereotaxic injections, A. Hu and M. Copeland for histology, and L. Lo, D. Anderson and R. Gong with advice on HSV129 anterograde tracing. This research was funded by the Howard Hughes Medical Institute. The HSV129 Delta TK-TT anterograde trans-synaptic tracer virus was provided by the Center for Neuroanatomy with Neurotropic Viruses (P40RR018604).en_US
dc.identifier.citationAtasoy, D., Betley, J. N., Li, W. P., Hong Su, H., Sertel, S. M., Scheffer, L. K. ... Sternson, S. M. (2014). A genetically specified connectomics approach applied to long-range feeding regulatory circuits. Nature Neuroscience, 17(12), 1830-1839. https://dx.doi.org/10.1038/nn.3854
dc.identifier.doi10.1038/nn.3854
dc.identifier.endpage1839
dc.identifier.issn1097-6256
dc.identifier.issn1546-1726
dc.identifier.issue12
dc.identifier.scopusqualityQ1
dc.identifier.startpage1830
dc.identifier.urihttps://dx.doi.org/10.1038/nn.3854
dc.identifier.urihttps://hdl.handle.net/20.500.12511/3480
dc.identifier.volume17
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherNature Publishing Group
dc.relation.ispartofNature Neuroscienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGenetically Specified
dc.subjectRegulatory Circuits
dc.titleA genetically specified connectomics approach applied to long-range feeding regulatory circuits
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
atasoy-deniz(2014).pdf
Size:
1.77 MB
Format:
Adobe Portable Document Format
Description:
Tam Metin / Full Text