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dc.contributor.authorFernandez-de-Manuel, Laura 
dc.contributor.authorDiaz-Diaz, Covadonga 
dc.contributor.authorJimenez-Carretero, Daniel 
dc.contributor.authorTorres, Miguel 
dc.contributor.authorMontoya, María 
dc.date.accessioned2020-05-05T11:30:51Z
dc.date.available2020-05-05T11:30:51Z
dc.date.issued2017-05
dc.identifier.citationBiotechniques. 2017; 62(5):215-222es_ES
dc.identifier.issn1940-9818es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/9895
dc.description.abstractEmbryonic stem cells (ESCs) can be established as permanent cell lines, and their potential to differentiate into adult tissues has led to widespread use for studying the mechanisms and dynamics of stem cell differentiation and exploring strategies for tissue repair. Imaging live ESCs during development is now feasible due to advances in optical imaging and engineering of genetically encoded fluorescent reporters; however, a major limitation is the low spatio-temporal resolution of long-term 3-D imaging required for generational and neighboring reconstructions. Here, we present the ESC-Track (ESC-T) workflow, which includes an automated cell and nuclear segmentation and tracking tool for 4-D (3-D + time) confocal image data sets as well as a manual editing tool for visual inspection and error correction. ESC-T automatically identifies cell divisions and membrane contacts for lineage tree and neighborhood reconstruction and computes quantitative features from individual cell entities, enabling analysis of fluorescence signal dynamics and tracking of cell morphology and motion. We use ESC-T to examine Myc intensity fluctuations in the context of mouse ESC (mESC) lineage and neighborhood relationships. ESC-T is a powerful tool for evaluation of the genealogical and microenvironmental cues that maintain ESC fitness.es_ES
dc.description.sponsorshipThis work was supported by a grant from the Spanish Ministry of Economy and Competitiveness (MINECO) (ref: BIO2014-62200-EXP), and Innovative Training Networks (ITN), EU - H2020 programme (ref: 641639 BIOPOL) to M.C.M., grants BFU2015-71519-P and RD16/0011/0019 (ISCIII) from the Spanish Ministry of Economy and Competition (MINECO), and grant P2010/BMD-2315 from the Madrid Regional Government to M.T. C.D.D. was supported by a FPU grant from the Spanish Ministry of Education, Culture and Sports. The CNIC is supported by the Spanish Ministry of Economy and Competitiveness (MINECO) and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (MINECO award SEV-2015-0505). The ESC_Track software package and complete instructions for its use are freely available at www.cnic.es/cellomics/technology.es_ES
dc.language.isoenges_ES
dc.publisherFuture Medicinees_ES
dc.relation.isversionofPostprintes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectESCes_ES
dc.subjectimage processinges_ES
dc.subjectlineagees_ES
dc.subjectsegmentationes_ES
dc.subjecttrackinges_ES
dc.subject.meshAlgorithms es_ES
dc.subject.meshCell Differentiation es_ES
dc.subject.meshCell Lineage es_ES
dc.subject.meshCell Tracking es_ES
dc.subject.meshCells, Cultured es_ES
dc.subject.meshHuman Embryonic Stem Cells es_ES
dc.subject.meshHumans es_ES
dc.subject.meshImaging, Three-Dimensionales_ES
dc.subject.meshMachine Learning es_ES
dc.subject.meshMicroscopy, Confocal es_ES
dc.subject.meshMicroscopy, Fluorescence es_ES
dc.subject.meshPattern Recognition, Automated es_ES
dc.subject.meshReproducibility of Results es_ES
dc.subject.meshSensitivity and Specificity es_ES
dc.subject.meshSoftware es_ES
dc.subject.meshWorkflow es_ES
dc.titleESC-Track: A computer workflow for 4-D segmentation, tracking, lineage tracing and dynamic context analysis of ESCses_ES
dc.typeArtículoes_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.pubmedID28528574es_ES
dc.format.volume62es_ES
dc.format.number5es_ES
dc.format.page215-222es_ES
dc.identifier.doi10.2144/000114545es_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderEuropean Commisiones_ES
dc.contributor.funderComunidad de Madrides_ES
dc.contributor.funderFundación ProCNICes_ES
dc.contributor.funderInstituto de Salud Carlos III - ISCIIIes_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1940-9818es_ES
dc.relation.publisherversionhttps://doi.org/10.2144/000114545es_ES
dc.identifier.journalBioTechniqueses_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Control Genético del Desarrollo y Regeneración de Órganoses_ES
dc.repisalud.orgCNICCNIC::Unidades técnicas::Microscopíaes_ES
dc.repisalud.institucionCNICes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/641639es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/BIO2014-62200-EXPes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/BFU2015-71519-Pes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/RD16/0011/0019es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/SEV-2015-0505es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This item is licensed under a: Attribution-NonCommercial-NoDerivatives 4.0 Internacional