Publication:
A 3D Analysis of Cleared Human Melanoma.

dc.contributor.authorLlorente, Vicente
dc.contributor.authorSanderson, Daniel
dc.contributor.authorMartín-Gorgojo, Alejandro
dc.contributor.authorSamaniego, Rafael
dc.contributor.authorDesco, Manuel
dc.contributor.authorGómez-Gaviro, María Victoria
dc.contributor.funderInstituto de Salud Carlos IIIes_ES
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)es_ES
dc.contributor.funderComunidad de Madrid (España)es_ES
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es_ES
dc.contributor.funderMinisterio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España)es_ES
dc.contributor.funderFundación ProCNICes_ES
dc.date.accessioned2023-03-16T13:32:03Z
dc.date.available2023-03-16T13:32:03Z
dc.date.issued2022-07-02
dc.description.abstractCutaneous melanoma is one of the most aggressive and deadliest cancers in human beings due to its invasiveness and other factors. Histopathological analysis is crucial for a proper diagnosis. Optical tissue clearing is a novel field that allows 3D image acquisition of large-scale biological tissues. Optical clearing and immunolabeling for 3D fluorescence imaging has yet to be extensively applied to melanoma. In the present manuscript, we establish, for the first time, an optical clearing and immunostaining procedure for human melanoma and human cell line-derived melanoma xenograft models using the CUBIC (clear, unobstructed brain imaging cocktails) technique. We have successfully cleared the samples and achieved 3D volumetric visualization of the tumor microenvironment, vasculature, and cell populations.es_ES
dc.description.peerreviewedes_ES
dc.description.sponsorshipThis study has been funded by Instituto de Salud Carlos III through the projects “PI18/00462” and “PT20/00044”, co-funded by the European Union (ERDF, “A way to make Europe”). This work was partially supported by Comunidad de Madrid (S2017/BMD-3867 RENIM-CM), and co-financed by European Structural and Investment Fund. The CNIC is supported by Instituto de Salud Carlos III (ISCIII), Ministerio de Ciencia e Innovación (MCIN) and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (SEV-2015-0505).es_ES
dc.format.number7es_ES
dc.format.volume10es_ES
dc.identifier.citationBiomedicines. 2022 Jul 2;10(7):1580es_ES
dc.identifier.doi10.3390/biomedicines10071580es_ES
dc.identifier.issn2227-9059es_ES
dc.identifier.journalBiomedicineses_ES
dc.identifier.pubmedID35884885es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/15653
dc.language.isoenges_ES
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/PI18/00462es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/PT20/00044es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/S2017/BMD-3867es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/SEV-2015-0505es_ES
dc.relation.publisherversion10.3390/biomedicines10071580es_ES
dc.repisalud.institucionCNICes_ES
dc.repisalud.orgCNICCNIC::Unidades técnicas::Imagen Avanzadaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA 3D Analysis of Cleared Human Melanoma.es_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication3d8c68c5-1cf7-41e7-bc20-a44a703ae994
relation.isAuthorOfPublication.latestForDiscovery3d8c68c5-1cf7-41e7-bc20-a44a703ae994

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