Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Korpal, Manav, Feala, Jacob, Puyang, Xiaoling, Zou, Jian, Ramos, Alex H., Wu, Jeremy, Baumeister, Timm, Yu, Lihua, Warmuth, Markus, Zhu, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MyJove Corporation 2015
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
_version_ 1782407290422296576
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
work_keys_str_mv AT korpalmanav implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms
AT fealajacob implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms
AT puyangxiaoling implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms
AT zoujian implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms
AT ramosalexh implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms
AT wujeremy implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms
AT baumeistertimm implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms
AT yulihua implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms
AT warmuthmarkus implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms
AT zhuping implementationofinvitrodrugresistanceassaysmaximizingthepotentialforuncoveringclinicallyrelevantresistancemechanisms