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DESYNE SIGNED

Development of synaptic networks in songbirds

Total Cost €

0

EC-Contrib. €

0

Partnership

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 DESYNE project word cloud

Explore the words cloud of the DESYNE project. It provides you a very rough idea of what is the project "DESYNE" about.

labeling    plan    explore    tissues    central    microscopic    unexplored    vocal    types    labeled    limit    staining    prior    perception    feasibility    risk    light    underlying    em    datasets    fluorescently    networks    birdsong    hvc    human    postsynaptic    microscopy    time    connections    efficient    plays    structure    visualizing    combination    avian    afferent    correlative    neuroanatomy    consuming    neural    tool    certain    language    cell    songbirds    speech    topographic    technique    scanning    projection    combining    abbe    efferent    memorization    ultra    projectomics    promise    songbird    tomography    replace    sensorimotor    learning    workflow    map    array    premotor    name    area    proper    densely    holds    understand    origin    adult    song    synapses    dependence    cat    imaging    feasible    stereotyped    expansion    brain    biological    exm    emergence    detecting    parallels    neuron    diffraction    peripheral    valuable    extremely    tissue    physical    takes    mechanisms    resolve    electron    multiple    tutor    synaptic    correlating   

Project "DESYNE" data sheet

The following table provides information about the project.

Coordinator
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH 

Organization address
address: Raemistrasse 101
city: ZUERICH
postcode: 8092
website: https://www.ethz.ch/de.html

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 175˙419 €
 EC max contribution 175˙419 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2020-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) coordinator 175˙419.00

Map

 Project objective

Vocal learning in songbirds is a complex sensorimotor behaviour with many established parallels to human speech and language learning. Here we aim to resolve the neural ultra-structure of a key premotor area in the songbird brain, HVC (proper name). HVC plays a major role in song learning and takes part in both song perception and production. To understand the neural mechanisms of tutor song memorization and emergence of stereotyped adult song, we plan to map the networks of HVC’s afferent and efferent synaptic connections and to explore the experience dependence of these connections during tutor-based song learning. Electron microscopy (EM) is a valuable approach for detecting synapses in densely labeled brain tissues. However, one of the main challenges of EM is to identify topographic origin of synapses as well as pre- and postsynaptic cell types. I plan to address this problem by combining EM and light microscopy using correlative array tomography (CAT), a technique for visualizing projection neuron networks (projectomics). CAT involves multiple steps of labeling, staining, scanning, and correlating datasets, which is a feasible but time consuming workflow. As high-risk addition to my plan of using CAT, I will also apply expansion microscopy (ExM) to this projectomics problem. The ExM approach is based on physical expansion of fluorescently labeled biological tissue prior to light microscopic imaging. ExM holds the promise of extremely efficient imaging beyond Abbe’s diffraction limit, which may allow it to replace EM for certain applications such as visualizing synaptic connections. ExM is a promising yet unexplored new tool for projectomics research and avian neuroanatomy in general. We will use ExM, CAT, or a combination, to resolve central and peripheral networks involved in tutor based song learning. Our work will contribute to visualizing the synaptic changes underlying birdsong learning and will explore the feasibility of ExM for projectomics research.

 Publications

year authors and title journal last update
List of publications.
2019 Daniel Normen Düring, Mariana Diales Rocha, Falk Dittrich, Manfred Gahr, Richard Hans Robert Hahnloser
Expansion Light Sheet Microscopy Resolves Subcellular Structures in Large Portions of the Songbird Brain
published pages: all, ISSN: 1662-5129, DOI: 10.3389/fnana.2019.00002
Frontiers in Neuroanatomy 13 2019-08-30
2019 German Koestinger, Daniel During, Simone Rickauer, Vanessa Leite, Homare Yamahachi, Gabor Csucs, Richard HR Hahnloser
Magnetic Ultrathin Tissue Sections for Ease of Light and Electron Microscopy
published pages: 8-11, ISSN: , DOI: 10.1101/532549
bioRxiv 2019-08-30
2019 Mariana Diales Rocha, Daniel Normen Düring, Philipp Bethge, Fabian F. Voigt, Staffan Hildebrand, Fritjof Helmchen, Alexander Pfeifer, Richard Hans Robert Hahnloser, Manfred Gahr
Tissue Clearing and Light Sheet Microscopy: Imaging the Unsectioned Adult Zebra Finch Brain at Cellular Resolution
published pages: all, ISSN: 1662-5129, DOI: 10.3389/fnana.2019.00013
Frontiers in Neuroanatomy 13 2019-08-30
2018 *D. N. DÃœRING1,2,3,4, M. ROCHA3, F. DITTRICH3, M. L. GAHR3, R. H. HAHNLOSER4,2;
Combining light sheet and expansion microscopy for large scale, high resolution projectomics of the zebra finch brain
published pages: , ISSN: , DOI:
Society for Neuroscience Annual Meeting yearly 2019-08-30

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