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A Platform for Interrogating Cancer-Associated p53 Alleles

p53 is the most frequently mutated gene in human cancer. Compelling evidence argues that full transformation involves loss of growth suppression encoded by wild-type p53 together with poorly understood oncogenic activity encoded by missense mutations. Furthermore, distinguishing disease alleles from...

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Autores principales: D’Brot, Alejandro, Kurtz, Paula, Regan, Erin, Jakubowski, Brandon, Abrams, John M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031501/
https://www.ncbi.nlm.nih.gov/pubmed/26996664
http://dx.doi.org/10.1038/onc.2016.48
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author D’Brot, Alejandro
Kurtz, Paula
Regan, Erin
Jakubowski, Brandon
Abrams, John M
author_facet D’Brot, Alejandro
Kurtz, Paula
Regan, Erin
Jakubowski, Brandon
Abrams, John M
author_sort D’Brot, Alejandro
collection PubMed
description p53 is the most frequently mutated gene in human cancer. Compelling evidence argues that full transformation involves loss of growth suppression encoded by wild-type p53 together with poorly understood oncogenic activity encoded by missense mutations. Furthermore, distinguishing disease alleles from natural polymorphisms is an important clinical challenge. To interrogate the genetic activity of human p53 variants, we leveraged the Drosophila model as an in vivo platform. We engineered strains that replace the fly p53 gene with human alleles, producing a collection of stocks that are, in effect, ‘humanized’ for p53 variants. Like the fly counterpart, human p53 transcriptionally activated a biosensor and induced apoptosis after DNA damage. However, all humanized strains representing common alleles found in cancer patients failed to complement in these assays. Surprisingly, stimulus-dependent activation of hp53 occurred without stabilization, demonstrating that these two processes can be uncoupled. Like its fly counterpart, hp53 formed prominent nuclear foci in germline cells but cancer-associated p53 variants did not. Moreover, these same mutant alleles disrupted hp53 foci and inhibited biosensor activity, suggesting that these properties are functionally linked. Together these findings establish a functional platform for interrogating human p53 alleles and suggest that simple phenotypes could be used to stratify disease variants.
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spelling pubmed-50315012017-01-13 A Platform for Interrogating Cancer-Associated p53 Alleles D’Brot, Alejandro Kurtz, Paula Regan, Erin Jakubowski, Brandon Abrams, John M Oncogene Article p53 is the most frequently mutated gene in human cancer. Compelling evidence argues that full transformation involves loss of growth suppression encoded by wild-type p53 together with poorly understood oncogenic activity encoded by missense mutations. Furthermore, distinguishing disease alleles from natural polymorphisms is an important clinical challenge. To interrogate the genetic activity of human p53 variants, we leveraged the Drosophila model as an in vivo platform. We engineered strains that replace the fly p53 gene with human alleles, producing a collection of stocks that are, in effect, ‘humanized’ for p53 variants. Like the fly counterpart, human p53 transcriptionally activated a biosensor and induced apoptosis after DNA damage. However, all humanized strains representing common alleles found in cancer patients failed to complement in these assays. Surprisingly, stimulus-dependent activation of hp53 occurred without stabilization, demonstrating that these two processes can be uncoupled. Like its fly counterpart, hp53 formed prominent nuclear foci in germline cells but cancer-associated p53 variants did not. Moreover, these same mutant alleles disrupted hp53 foci and inhibited biosensor activity, suggesting that these properties are functionally linked. Together these findings establish a functional platform for interrogating human p53 alleles and suggest that simple phenotypes could be used to stratify disease variants. 2016-03-21 2017-01-12 /pmc/articles/PMC5031501/ /pubmed/26996664 http://dx.doi.org/10.1038/onc.2016.48 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
D’Brot, Alejandro
Kurtz, Paula
Regan, Erin
Jakubowski, Brandon
Abrams, John M
A Platform for Interrogating Cancer-Associated p53 Alleles
title A Platform for Interrogating Cancer-Associated p53 Alleles
title_full A Platform for Interrogating Cancer-Associated p53 Alleles
title_fullStr A Platform for Interrogating Cancer-Associated p53 Alleles
title_full_unstemmed A Platform for Interrogating Cancer-Associated p53 Alleles
title_short A Platform for Interrogating Cancer-Associated p53 Alleles
title_sort platform for interrogating cancer-associated p53 alleles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031501/
https://www.ncbi.nlm.nih.gov/pubmed/26996664
http://dx.doi.org/10.1038/onc.2016.48
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