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A 3D Analysis of Cleared Human Melanoma
Cutaneous 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....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313268/ https://www.ncbi.nlm.nih.gov/pubmed/35884885 http://dx.doi.org/10.3390/biomedicines10071580 |
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author | Llorente, Vicente Sanderson, Daniel Martín-Gorgojo, Alejandro Samaniego, Rafael Desco, Manuel Gómez-Gaviro, María Victoria |
author_facet | Llorente, Vicente Sanderson, Daniel Martín-Gorgojo, Alejandro Samaniego, Rafael Desco, Manuel Gómez-Gaviro, María Victoria |
author_sort | Llorente, Vicente |
collection | PubMed |
description | Cutaneous 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. |
format | Online Article Text |
id | pubmed-9313268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93132682022-07-26 A 3D Analysis of Cleared Human Melanoma Llorente, Vicente Sanderson, Daniel Martín-Gorgojo, Alejandro Samaniego, Rafael Desco, Manuel Gómez-Gaviro, María Victoria Biomedicines Article Cutaneous 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. MDPI 2022-07-02 /pmc/articles/PMC9313268/ /pubmed/35884885 http://dx.doi.org/10.3390/biomedicines10071580 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Llorente, Vicente Sanderson, Daniel Martín-Gorgojo, Alejandro Samaniego, Rafael Desco, Manuel Gómez-Gaviro, María Victoria A 3D Analysis of Cleared Human Melanoma |
title | A 3D Analysis of Cleared Human Melanoma |
title_full | A 3D Analysis of Cleared Human Melanoma |
title_fullStr | A 3D Analysis of Cleared Human Melanoma |
title_full_unstemmed | A 3D Analysis of Cleared Human Melanoma |
title_short | A 3D Analysis of Cleared Human Melanoma |
title_sort | 3d analysis of cleared human melanoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313268/ https://www.ncbi.nlm.nih.gov/pubmed/35884885 http://dx.doi.org/10.3390/biomedicines10071580 |
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