Publication: Genetic Tools to Study Cardiovascular Biology.
| dc.contributor.author | Garcia-Gonzalez, Irene | |
| dc.contributor.author | Mühleder, Severin | |
| dc.contributor.author | Fernandez-Chacon, Macarena | |
| dc.contributor.author | Benedito, Rui | |
| dc.contributor.funder | Unión Europea. Comisión Europea. European Research Council (ERC) | |
| dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | |
| dc.contributor.funder | Fundación ProCNIC | |
| dc.contributor.funder | Fundación La Caixa | |
| dc.contributor.funder | FWF Austrian Science Fund | |
| dc.date.accessioned | 2020-10-27T11:53:45Z | |
| dc.date.available | 2020-10-27T11:53:45Z | |
| dc.date.issued | 2020-10 | |
| dc.description.abstract | Progress in biomedical science is tightly associated with the improvement of methods and genetic tools to manipulate and analyze gene function in mice, the most widely used model organism in biomedical research. The joint effort of numerous individual laboratories and consortiums has contributed to the creation of a large genetic resource that enables scientists to image cells, probe signaling pathways activities, or modify a gene function in any desired cell type or time point, à la carte. However, as these tools significantly increase in number and become more sophisticated, it is more difficult to keep track of each tool's possibilities and understand their advantages and disadvantages. Knowing the best currently available genetic technology to answer a particular biological question is key to reach a higher standard in biomedical research. In this review, we list and discuss the main advantages and disadvantages of available mammalian genetic technology to analyze cardiovascular cell biology at higher cellular and molecular resolution. We start with the most simple and classical genetic approaches and end with the most advanced technology available to fluorescently label cells, conditionally target their genes, image their clonal expansion, and decode their lineages. | es_ES |
| dc.description.peerreviewed | Sí | es_ES |
| dc.description.sponsorship | RB is supported by the European Research Council (ERC-2014-StG-638028), the Centro Nacional de Investigaciones Cardiovasculares (CNIC), and the Ministerio de Ciencia y Innovación (MCIN: SAF2017-89299-P). The CNIC is supported by MCIN, the Pro CNIC Foundation and is a Severo Ochoa Center of Excellence (SEV-2015-0505). IG-G and MF-C were supported by PhD fellowships from Fundación La Caixa (CX-SO- 16-1 and CX_E-2015-01, respectively). SM was funded by the Austrian Science Fund (FWF) project J4358. | es_ES |
| dc.format.page | 1084 | es_ES |
| dc.format.volume | 11 | es_ES |
| dc.identifier.citation | Front Physiol. 2020; 11:1084 | es_ES |
| dc.identifier.doi | 10.3389/fphys.2020.01084 | es_ES |
| dc.identifier.issn | 1664-042X | |
| dc.identifier.journal | Frontiers in physiology | es_ES |
| dc.identifier.pubmedID | 33071802 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/20.500.12105/11206 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Frontiers Media | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/SEV-2015-0505 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/638028 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/SAF2017-89299-P | es_ES |
| dc.relation.publisherversion | https://doi.org/10.3389/fphys.2020.01084 | es_ES |
| dc.repisalud.institucion | CNIC | es_ES |
| dc.repisalud.orgCNIC | CNIC::Grupos de investigación::Genética Molecular de la Angiogénesis | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.license | Atribución 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.title | Genetic Tools to Study Cardiovascular Biology. | es_ES |
| dc.type | journal article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | df89c94e-79a2-458f-aeb4-bb76ebffd71a | |
| relation.isAuthorOfPublication | 655524a2-7a61-4d4b-8334-2d5fdb9c2c96 | |
| relation.isAuthorOfPublication | 924c4677-29f1-4917-92d2-765d534c2242 | |
| relation.isAuthorOfPublication.latestForDiscovery | df89c94e-79a2-458f-aeb4-bb76ebffd71a |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- GeneticToolsStudyCardiovascular_2020.pdf
- Size:
- 6.21 MB
- Format:
- Adobe Portable Document Format
- Description:
- Artículo


