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dc.contributor.authorGómez-García, F.
dc.contributor.authorMartInez Pulleiro, Raquel
dc.contributor.authorCarrera Cachaza, Noa
dc.contributor.authorAllegue Toscano, Catarina
dc.contributor.authorGarcía González, Miguel Ángel
dc.date.accessioned2025-08-26T11:01:56Z
dc.date.available2025-08-26T11:01:56Z
dc.date.issued2022
dc.identifier.citationGómez-García F, Martínez-Pulleiro R, Carrera N, Allegue C, Garcia-Gonzalez MA. Genetic Kidney Diseases (GKDs) Modeling Using Genome Editing Technologies. Cells. 2022;11(9).
dc.identifier.issn2073-4409
dc.identifier.otherhttps://portalcientifico.sergas.gal/documentos/6416a4885db420433b7b59e0*
dc.identifier.urihttp://hdl.handle.net/20.500.11940/20815
dc.description.abstractGenetic kidney diseases (GKDs) are a group of rare diseases, affecting approximately about 60 to 80 per 100,000 individuals, for which there is currently no treatment that can cure them (in many cases). GKDs usually leads to early-onset chronic kidney disease, which results in patients having to undergo dialysis or kidney transplant. Here, we briefly describe genetic causes and phenotypic effects of six GKDs representative of different ranges of prevalence and renal involvement (ciliopathy, glomerulopathy, and tubulopathy). One of the shared characteristics of GKDs is that most of them are monogenic. This characteristic makes it possible to use site-specific nuclease systems to edit the genes that cause GKDs and generate in vitro and in vivo models that reflect the genetic abnormalities of GKDs. We describe and compare these site-specific nuclease systems (zinc finger nucleases (ZFNs), transcription activator-like effect nucleases (TALENs) and regularly clustered short palindromic repeat-associated protein (CRISPR-Cas9)) and review how these systems have allowed the generation of cellular and animal GKDs models and how they have contributed to shed light on many still unknown fields in GKDs. We also indicate the main obstacles limiting the application of these systems in a more efficient way. The information provided here will be useful to gain an accurate understanding of the technological advances in the field of genome editing for GKDs, as well as to serve as a guide for the selection of both the genome editing tool and the gene delivery method most suitable for the successful development of GKDs models.en
dc.description.sponsorshipThis work was funded by PI18/00378 from Instituto de Salud Carlos III under FIS/FEDER funds (to M.A.G.-G.), by IN607B-2016/020 from Axencia Galega de Innovacion (to M.A.G.-G.), by ED431G 2019/02 (to C.A.) from the Xunta de Galicia, by RD21/0005/0020 from Redes de Investigacion Cooperativa Orientadas a Resultados en Salud (to M.A.G.-G.) and by RD16/0009/0024 from Red de Investigacion Renal (to M.A.G.-G.).en
dc.language.isoeng
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleGenetic Kidney Diseases (GKDs) Modeling Using Genome Editing Technologies*
dc.typeReviewen
dc.authorsophosGómez-García, M. A. F.
dc.authorsophosMartínez-Pulleiro, R.
dc.authorsophosCarrera, N.
dc.authorsophosAllegue, C.
dc.authorsophosGarcia, Gonzalez
dc.identifier.doi10.3390/cells11091571
dc.identifier.sophos6416a4885db420433b7b59e0
dc.issue.number9
dc.journal.titleCells*
dc.relation.projectIDInstituto de Salud Carlos III under FIS/FEDER [PI18/00378]; Axencia Galega de Innovacion [IN607B-2016/020]; Xunta de Galicia [ED431G 2019/02]; Red de Investigacion Renal [RD21/0005/0020, RD16/0009/0024]
dc.relation.publisherversionhttps://www.mdpi.com/2073-4409/11/9/1571/pdf?version=1652338670;https://mdpi-res.com/d_attachment/cells/cells-11-01571/article_deploy/cells-11-01571-v5.pdf?version=1652338670es
dc.rights.accessRightsopenAccess
dc.subject.keywordAS Santiagoes
dc.subject.keywordIDISes
dc.subject.keywordFPGMXes
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)es
dc.typesophosArtículo de Revisiónes
dc.volume.number11


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