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Gómez-Villafuertes, R.* ; Paniagua-Herranz, L.* ; Gascón, S. ; De Agustín-Durán, D.* ; Ferreras, M.d.l.O.* ; Gil-Redondo, J.C.* ; Queipo, M.J.* ; Menendez-Mendez, A.* ; Pérez-Sen, R.* ; Delicado, E.G.* ; Gualix, J.* ; Costa, M.R.* ; Schroeder, T.* ; Miras-Portugal, M.T.* ; Ortega, F.*

Live imaging followed by single cell tracking to monitor cell biology and the lineage progression of multiple neural populations.

J. Vis. Exp. 2017:e56291 (2017)

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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.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Neuroscience ; Issue 130 ; Live Imaging ; Single Cell Tracking ; Lineage Progression ; Adult Neural Stem Cell ; Neural Cells ; Lineage Tree ; Time-lapse Video-microscopy; Stem-cells; Subependymal Zone; Culture; Quantification; Level

ISSN (print) / ISBN 1940-087X

e-ISSN 1940-087X

Journal Journal of Visualized Experiments

Quellenangaben Volume: 2017, Issue: 130, Article Number: e56291

Publisher JoVE

Publishing Place Cambridge

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Stem Cell Research (ISF)