Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

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dc.contributor.authorGómez-Villafuertes, Rosa
dc.contributor.authorPaniagua-Herranz, Lucía
dc.contributor.authorGascon, Sergio
dc.contributor.authorAgustín-Durán, David de
dc.contributor.authorFerreras, María de la O
dc.contributor.authorGil-Redondo, Juan Carlos
dc.contributor.authorQueipo, María José
dc.contributor.authorMenendez-Mendez, Aida
dc.contributor.authorPérez-Sen, Ráquel
dc.contributor.authorG. Delicado, Esmerilda
dc.contributor.authorGualix, Javier
dc.contributor.authorCosta, Marcos Romualdo
dc.contributor.authorSchroeder, Timm
dc.contributor.authorMiras-Portugal, María Teresa
dc.contributor.authorOrtega, Felipe
dc.date.accessioned2018-01-25T20:30:14Z
dc.date.available2018-01-25T20:30:14Z
dc.date.issued2017-12-16
dc.description.resumoUnderstanding 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.pt_BR
dc.identifier.doi10.3791/56291 Keywords: Neuroscience, Issue
dc.identifier.urihttps://repositorio.ufrn.br/jspui/handle/123456789/24671
dc.languageengpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectNeurosciencept_BR
dc.subjectLive imagingpt_BR
dc.subjectsingle cell trackingpt_BR
dc.subjectlineage progressionpt_BR
dc.subjectadult neural stem cellpt_BR
dc.subjectneural cellspt_BR
dc.subjectlineage treept_BR
dc.subjecttimelapse video-microscopypt_BR
dc.titleLive Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populationspt_BR
dc.typearticlept_BR

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