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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.

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

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. DÜRING1,2,3,4, 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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