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dc.contributor.author | Fernandez-de-Manuel, Laura | |
dc.contributor.author | Diaz-Diaz, Covadonga | |
dc.contributor.author | Jimenez-Carretero, Daniel | |
dc.contributor.author | Torres, Miguel | |
dc.contributor.author | Montoya, Maria | |
dc.date.accessioned | 2020-05-05T11:30:51Z | |
dc.date.available | 2020-05-05T11:30:51Z | |
dc.date.issued | 2017-05 | |
dc.identifier.citation | Biotechniques. 2017; 62(5):215-222 | es_ES |
dc.identifier.issn | 1940-9818 | es_ES |
dc.identifier.uri | http://hdl.handle.net/20.500.12105/9895 | |
dc.description.abstract | Embryonic 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.sponsorship | This 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.iso | eng | es_ES |
dc.publisher | Future Medicine | es_ES |
dc.type.hasVersion | AM | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | ESC | es_ES |
dc.subject | Image processing | es_ES |
dc.subject | Lineage | es_ES |
dc.subject | Segmentation | es_ES |
dc.subject | Tracking | es_ES |
dc.subject.mesh | Algorithms | es_ES |
dc.subject.mesh | Cell Differentiation | es_ES |
dc.subject.mesh | Cell Lineage | es_ES |
dc.subject.mesh | Cell Tracking | es_ES |
dc.subject.mesh | Cells, Cultured | es_ES |
dc.subject.mesh | Human Embryonic Stem Cells | es_ES |
dc.subject.mesh | Humans | es_ES |
dc.subject.mesh | Imaging, Three-Dimensional | es_ES |
dc.subject.mesh | Machine Learning | es_ES |
dc.subject.mesh | Microscopy, Confocal | es_ES |
dc.subject.mesh | Microscopy, Fluorescence | es_ES |
dc.subject.mesh | Pattern Recognition, Automated | es_ES |
dc.subject.mesh | Reproducibility of Results | es_ES |
dc.subject.mesh | Sensitivity and Specificity | es_ES |
dc.subject.mesh | Software | es_ES |
dc.subject.mesh | Workflow | es_ES |
dc.title | ESC-Track: A computer workflow for 4-D segmentation, tracking, lineage tracing and dynamic context analysis of ESCs | es_ES |
dc.type | journal article | es_ES |
dc.rights.license | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.identifier.pubmedID | 28528574 | es_ES |
dc.format.volume | 62 | es_ES |
dc.format.number | 5 | es_ES |
dc.format.page | 215-222 | es_ES |
dc.identifier.doi | 10.2144/000114545 | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | |
dc.contributor.funder | Unión Europea. Comisión Europea | |
dc.contributor.funder | Comunidad de Madrid (España) | |
dc.contributor.funder | Fundación ProCNIC | |
dc.contributor.funder | Instituto de Salud Carlos III | |
dc.description.peerreviewed | Sí | es_ES |
dc.identifier.e-issn | 1940-9818 | es_ES |
dc.relation.publisherversion | https://doi.org/10.2144/000114545 | es_ES |
dc.identifier.journal | BioTechniques | es_ES |
dc.repisalud.orgCNIC | CNIC::Grupos de investigación::Control Genético del Desarrollo y Regeneración de Órganos | es_ES |
dc.repisalud.orgCNIC | CNIC::Unidades técnicas::Microscopía | es_ES |
dc.repisalud.institucion | CNIC | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/641639 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/BIO2014-62200-EXP | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/BFU2015-71519-P | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/RD16/0011/0019 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/SEV-2015-0505 | es_ES |
dc.rights.accessRights | open access | es_ES |