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Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
Although targeted therapies are initially effective, resistance inevitably emerges. Several methods, such as genetic analysis of resistant clinical specimens, have been applied to uncover these resistance mechanisms to facilitate follow-up care. Although these approaches have led to clinically relev...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692793/ https://www.ncbi.nlm.nih.gov/pubmed/26710000 http://dx.doi.org/10.3791/52879 |
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author | Korpal, Manav Feala, Jacob Puyang, Xiaoling Zou, Jian Ramos, Alex H. Wu, Jeremy Baumeister, Timm Yu, Lihua Warmuth, Markus Zhu, Ping |
author_facet | Korpal, Manav Feala, Jacob Puyang, Xiaoling Zou, Jian Ramos, Alex H. Wu, Jeremy Baumeister, Timm Yu, Lihua Warmuth, Markus Zhu, Ping |
author_sort | Korpal, Manav |
collection | PubMed |
description | Although targeted therapies are initially effective, resistance inevitably emerges. Several methods, such as genetic analysis of resistant clinical specimens, have been applied to uncover these resistance mechanisms to facilitate follow-up care. Although these approaches have led to clinically relevant discoveries, difficulties in attaining the relevant patient material or in deconvoluting the genomic data collected from these specimens have severely hampered the path towards a cure. To this end, we here describe a tool for expeditious discovery that may guide improvement in first-line therapies and alternative clinical management strategies. By coupling preclinical in vitro or in vivo drug selection with next-generation sequencing, it is possible to identify genomic structural variations and/or gene expression alterations that may serve as functional drivers of resistance. This approach facilitates the spontaneous emergence of alterations, enhancing the probability that these mechanisms may be observed in the patients. In this protocol we provide guidelines to maximize the potential for uncovering single nucleotide variants that drive resistance using adherent lines. |
format | Online Article Text |
id | pubmed-4692793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46927932016-01-07 Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms Korpal, Manav Feala, Jacob Puyang, Xiaoling Zou, Jian Ramos, Alex H. Wu, Jeremy Baumeister, Timm Yu, Lihua Warmuth, Markus Zhu, Ping J Vis Exp Medicine Although targeted therapies are initially effective, resistance inevitably emerges. Several methods, such as genetic analysis of resistant clinical specimens, have been applied to uncover these resistance mechanisms to facilitate follow-up care. Although these approaches have led to clinically relevant discoveries, difficulties in attaining the relevant patient material or in deconvoluting the genomic data collected from these specimens have severely hampered the path towards a cure. To this end, we here describe a tool for expeditious discovery that may guide improvement in first-line therapies and alternative clinical management strategies. By coupling preclinical in vitro or in vivo drug selection with next-generation sequencing, it is possible to identify genomic structural variations and/or gene expression alterations that may serve as functional drivers of resistance. This approach facilitates the spontaneous emergence of alterations, enhancing the probability that these mechanisms may be observed in the patients. In this protocol we provide guidelines to maximize the potential for uncovering single nucleotide variants that drive resistance using adherent lines. MyJove Corporation 2015-12-09 /pmc/articles/PMC4692793/ /pubmed/26710000 http://dx.doi.org/10.3791/52879 Text en Copyright © 2015, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Medicine Korpal, Manav Feala, Jacob Puyang, Xiaoling Zou, Jian Ramos, Alex H. Wu, Jeremy Baumeister, Timm Yu, Lihua Warmuth, Markus Zhu, Ping Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms |
title | Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms |
title_full | Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms |
title_fullStr | Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms |
title_full_unstemmed | Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms |
title_short | Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms |
title_sort | implementation of in vitro drug resistance assays: maximizing the potential for uncovering clinically relevant resistance mechanisms |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692793/ https://www.ncbi.nlm.nih.gov/pubmed/26710000 http://dx.doi.org/10.3791/52879 |
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