Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/jspui/handle/123456789/24671 |
Resumo: | 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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Gómez-Villafuertes, RosaPaniagua-Herranz, LucíaGascon, SergioAgustín-Durán, David deFerreras, María de la OGil-Redondo, Juan CarlosQueipo, María JoséMenendez-Mendez, AidaPérez-Sen, RáquelG. Delicado, EsmerildaGualix, JavierCosta, Marcos RomualdoSchroeder, TimmMiras-Portugal, María TeresaOrtega, Felipe2018-01-25T20:30:14Z2018-01-25T20:30:14Z2017-12-16https://repositorio.ufrn.br/jspui/handle/123456789/2467110.3791/56291 Keywords: Neuroscience, IssueengNeuroscienceLive imagingsingle cell trackinglineage progressionadult neural stem cellneural cellslineage treetimelapse video-microscopyLive Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populationsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUnderstanding 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.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNTEXTMarcosCosta_2017_ICe_LiveImaging.pdf.txtMarcosCosta_2017_ICe_LiveImaging.pdf.txtExtracted texttext/plain37300https://repositorio.ufrn.br/bitstream/123456789/24671/3/MarcosCosta_2017_ICe_LiveImaging.pdf.txta204a4d0ef481ac2bbd213a012f03cebMD53THUMBNAILMarcosCosta_2017_ICe_LiveImaging.pdf.jpgMarcosCosta_2017_ICe_LiveImaging.pdf.jpgIM Thumbnailimage/jpeg9917https://repositorio.ufrn.br/bitstream/123456789/24671/4/MarcosCosta_2017_ICe_LiveImaging.pdf.jpg9ef7fd458a79e27ad026446165467ce8MD54ORIGINALMarcosCosta_2017_ICe_LiveImaging.pdfMarcosCosta_2017_ICe_LiveImaging.pdfArtigo Completoapplication/pdf1392092https://repositorio.ufrn.br/bitstream/123456789/24671/1/MarcosCosta_2017_ICe_LiveImaging.pdfb75760a52dc479031592440761ae83bdMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.ufrn.br/bitstream/123456789/24671/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/246712021-07-09 17:38:07.47oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-07-09T20:38:07Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations |
title |
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations |
spellingShingle |
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations Gómez-Villafuertes, Rosa Neuroscience Live imaging single cell tracking lineage progression adult neural stem cell neural cells lineage tree timelapse video-microscopy |
title_short |
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations |
title_full |
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations |
title_fullStr |
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations |
title_full_unstemmed |
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations |
title_sort |
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations |
author |
Gómez-Villafuertes, Rosa |
author_facet |
Gómez-Villafuertes, Rosa Paniagua-Herranz, Lucía Gascon, Sergio Agustín-Durán, David de Ferreras, María de la O Gil-Redondo, Juan Carlos Queipo, María José Menendez-Mendez, Aida Pérez-Sen, Ráquel G. Delicado, Esmerilda Gualix, Javier Costa, Marcos Romualdo Schroeder, Timm Miras-Portugal, María Teresa Ortega, Felipe |
author_role |
author |
author2 |
Paniagua-Herranz, Lucía Gascon, Sergio Agustín-Durán, David de Ferreras, María de la O Gil-Redondo, Juan Carlos Queipo, María José Menendez-Mendez, Aida Pérez-Sen, Ráquel G. Delicado, Esmerilda Gualix, Javier Costa, Marcos Romualdo Schroeder, Timm Miras-Portugal, María Teresa Ortega, Felipe |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Gómez-Villafuertes, Rosa Paniagua-Herranz, Lucía Gascon, Sergio Agustín-Durán, David de Ferreras, María de la O Gil-Redondo, Juan Carlos Queipo, María José Menendez-Mendez, Aida Pérez-Sen, Ráquel G. Delicado, Esmerilda Gualix, Javier Costa, Marcos Romualdo Schroeder, Timm Miras-Portugal, María Teresa Ortega, Felipe |
dc.subject.por.fl_str_mv |
Neuroscience Live imaging single cell tracking lineage progression adult neural stem cell neural cells lineage tree timelapse video-microscopy |
topic |
Neuroscience Live imaging single cell tracking lineage progression adult neural stem cell neural cells lineage tree timelapse video-microscopy |
description |
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. |
publishDate |
2017 |
dc.date.issued.fl_str_mv |
2017-12-16 |
dc.date.accessioned.fl_str_mv |
2018-01-25T20:30:14Z |
dc.date.available.fl_str_mv |
2018-01-25T20:30:14Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/jspui/handle/123456789/24671 |
dc.identifier.doi.none.fl_str_mv |
10.3791/56291 Keywords: Neuroscience, Issue |
url |
https://repositorio.ufrn.br/jspui/handle/123456789/24671 |
identifier_str_mv |
10.3791/56291 Keywords: Neuroscience, Issue |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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UFRN |
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