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dc.contributor.author
Gómez-Villafuertes, Rosa
dc.contributor.author
Paniagua-Herranz, Lucía
dc.contributor.author
Gascon, Sergio
dc.contributor.author
De Agustín-Durán, David
dc.contributor.author
De la O Ferreras, María
dc.contributor.author
Gil-Redondo, Juan C.
dc.contributor.author
Queipo, María J.
dc.contributor.author
Menendez-Mendez, Aida
dc.contributor.author
Pérez-Sen, Ráquel
dc.contributor.author
Delicado, Esmerilda G.
dc.contributor.author
Gualix, Javier
dc.contributor.author
Costa, Marcos R.
dc.contributor.author
Schroeder, Timm
dc.contributor.author
Miras-Portugal, María T.
dc.contributor.author
Ortega, Felipe
dc.date.accessioned
2018-01-19T11:28:49Z
dc.date.available
2017-12-28T03:36:13Z
dc.date.available
2018-01-19T11:28:49Z
dc.date.issued
2017-12
dc.identifier.issn
1940-087X
dc.identifier.other
10.3791/56291
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/224647
dc.identifier.doi
10.3929/ethz-b-000224647
dc.description.abstract
Understanding the mechanisms that control critical biological events of neural cell populations, such as proliferation, differentiation, or cell fate decisions, will be crucial to design therapeutic strategies for many diseases affecting the nervous system. Current methods to track cell populations rely on their final outcomes in still images and they generally fail to provide sufficient temporal resolution to identify behavioral features in single cells. Moreover, variations in cell death, behavioral heterogeneity within a cell population, dilution, spreading, or the low efficiency of the markers used to analyze cells are all important handicaps that will lead to incomplete or incorrect read-outs of the results. Conversely, performing live imaging and single cell tracking under appropriate conditions represents a powerful tool to monitor each of these events. Here, a time-lapse video-microscopy protocol, followed by post-processing, is described to track neural populations with single cell resolution, employing specific software. The methods described enable researchers to address essential questions regarding the cell biology and lineage progression of distinct neural populations.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
JoVE
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject
Neuroscience
en_US
dc.subject
Issue 130
en_US
dc.subject
Live imaging
en_US
dc.subject
Single cell tracking
en_US
dc.subject
lineage progression
en_US
dc.subject
adult neural stem cell
en_US
dc.subject
neural cells
en_US
dc.subject
lineage tree
en_US
dc.subject
time-lapse video-microscopy
en_US
dc.title
Live imaging followed by single cell tracking to monitor cell biology and the lineage progression of multiple neural populations
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.date.published
2017-12-16
ethz.journal.title
Journal of Visualized Experiments. JoVE
ethz.journal.volume
2017
en_US
ethz.journal.issue
130
en_US
ethz.journal.abbreviated
J Vis Exp
ethz.pages.start
e56291
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
Cambridge, MA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03992 - Schroeder, Timm / Schroeder, Timm
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03992 - Schroeder, Timm / Schroeder, Timm
ethz.date.deposited
2017-12-28T03:36:18Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-01-19T11:28:54Z
ethz.rosetta.lastUpdated
2021-02-14T21:56:13Z
ethz.rosetta.versionExported
true
ethz.COinS
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