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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.

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

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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