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An Optimized Protocol for In Vivo Analysis of Tumor Cell Division in a Sleeping Beauty-Mediated Mouse Glioma Model
Malignant gliomas are the most common and aggressive primary brain tumor in adults, and high mitotic rates are associated with their malignancy. Gliomas were modeled in mice using the Sleeping Beauty system to encode genetic lesions recapitulating the human disease. The presented workflow allows the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518519/ https://www.ncbi.nlm.nih.gov/pubmed/32984853 http://dx.doi.org/10.1016/j.xpro.2020.100044 |
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author | Garcia-Fabiani, Maria B. Kadiyala, Padma Lowenstein, Pedro R. Castro, Maria G. |
author_facet | Garcia-Fabiani, Maria B. Kadiyala, Padma Lowenstein, Pedro R. Castro, Maria G. |
author_sort | Garcia-Fabiani, Maria B. |
collection | PubMed |
description | Malignant gliomas are the most common and aggressive primary brain tumor in adults, and high mitotic rates are associated with their malignancy. Gliomas were modeled in mice using the Sleeping Beauty system to encode genetic lesions recapitulating the human disease. The presented workflow allows the study of the proliferation of glioma cells in vivo, enabling the identification of different phases of the cell cycle, with the advantage that 5-ethynyl-2′-deoxyuridine staining does not involve denaturation steps and samples do not require histological processing. For complete details on the use and execution of this protocol, please refer to Núñez et al. (2019). |
format | Online Article Text |
id | pubmed-7518519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75185192020-09-25 An Optimized Protocol for In Vivo Analysis of Tumor Cell Division in a Sleeping Beauty-Mediated Mouse Glioma Model Garcia-Fabiani, Maria B. Kadiyala, Padma Lowenstein, Pedro R. Castro, Maria G. STAR Protoc Protocol Malignant gliomas are the most common and aggressive primary brain tumor in adults, and high mitotic rates are associated with their malignancy. Gliomas were modeled in mice using the Sleeping Beauty system to encode genetic lesions recapitulating the human disease. The presented workflow allows the study of the proliferation of glioma cells in vivo, enabling the identification of different phases of the cell cycle, with the advantage that 5-ethynyl-2′-deoxyuridine staining does not involve denaturation steps and samples do not require histological processing. For complete details on the use and execution of this protocol, please refer to Núñez et al. (2019). Elsevier 2020-06-06 /pmc/articles/PMC7518519/ /pubmed/32984853 http://dx.doi.org/10.1016/j.xpro.2020.100044 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Garcia-Fabiani, Maria B. Kadiyala, Padma Lowenstein, Pedro R. Castro, Maria G. An Optimized Protocol for In Vivo Analysis of Tumor Cell Division in a Sleeping Beauty-Mediated Mouse Glioma Model |
title | An Optimized Protocol for In Vivo Analysis of Tumor Cell Division in a Sleeping Beauty-Mediated Mouse Glioma Model |
title_full | An Optimized Protocol for In Vivo Analysis of Tumor Cell Division in a Sleeping Beauty-Mediated Mouse Glioma Model |
title_fullStr | An Optimized Protocol for In Vivo Analysis of Tumor Cell Division in a Sleeping Beauty-Mediated Mouse Glioma Model |
title_full_unstemmed | An Optimized Protocol for In Vivo Analysis of Tumor Cell Division in a Sleeping Beauty-Mediated Mouse Glioma Model |
title_short | An Optimized Protocol for In Vivo Analysis of Tumor Cell Division in a Sleeping Beauty-Mediated Mouse Glioma Model |
title_sort | optimized protocol for in vivo analysis of tumor cell division in a sleeping beauty-mediated mouse glioma model |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518519/ https://www.ncbi.nlm.nih.gov/pubmed/32984853 http://dx.doi.org/10.1016/j.xpro.2020.100044 |
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