利用淋巴母细胞样细胞系进行药物反应建模

A. Motsinger-Reif, Daniel M. Rotroff
{"title":"利用淋巴母细胞样细胞系进行药物反应建模","authors":"A. Motsinger-Reif, Daniel M. Rotroff","doi":"10.4172/2153-0602.1000179","DOIUrl":null,"url":null,"abstract":"Lymphoblastoid cell lines (LCL) are becoming popular tools for modeling drug response. LCLs, and other in vitro assays, offer the ability to test many drugs, doses, and biological samples relatively quickly and inexpensively. In addition, a unique advantage to LCLs is that they are available from a large cohort of individuals, providing the capability to test for genetic variability on a scale not readily available in other in vitro systems. Since oftentimes the genotype data is publically available, the experimental costs can be limited to the cost of the drug response phenotyping. Here we describe several advantages and limitations of LCLs. In addition we review several important aspects of LCL experimental design and statistical analysis. Lastly, we present an example of LCLs being successfully used to identify candidate single nucleotide polymorphisms and genes for variability in response to a chemotherapeutic used to treat chronic myeloid leukemia.","PeriodicalId":15630,"journal":{"name":"Journal of Data Mining in Genomics & Proteomics","volume":"62 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Leveraging Lymphoblastoid Cell Lines for Drug Response Modeling\",\"authors\":\"A. Motsinger-Reif, Daniel M. Rotroff\",\"doi\":\"10.4172/2153-0602.1000179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lymphoblastoid cell lines (LCL) are becoming popular tools for modeling drug response. LCLs, and other in vitro assays, offer the ability to test many drugs, doses, and biological samples relatively quickly and inexpensively. In addition, a unique advantage to LCLs is that they are available from a large cohort of individuals, providing the capability to test for genetic variability on a scale not readily available in other in vitro systems. Since oftentimes the genotype data is publically available, the experimental costs can be limited to the cost of the drug response phenotyping. Here we describe several advantages and limitations of LCLs. In addition we review several important aspects of LCL experimental design and statistical analysis. Lastly, we present an example of LCLs being successfully used to identify candidate single nucleotide polymorphisms and genes for variability in response to a chemotherapeutic used to treat chronic myeloid leukemia.\",\"PeriodicalId\":15630,\"journal\":{\"name\":\"Journal of Data Mining in Genomics & Proteomics\",\"volume\":\"62 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Data Mining in Genomics & Proteomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/2153-0602.1000179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Data Mining in Genomics & Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2153-0602.1000179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

淋巴母细胞系(LCL)正在成为模拟药物反应的流行工具。lcl和其他体外测定法能够相对快速和廉价地检测多种药物、剂量和生物样品。此外,lcl的一个独特优势是,它们可以从大量个体中获得,从而提供了在其他体外系统中难以获得的规模上测试遗传变异性的能力。由于基因型数据通常是公开的,实验成本可以限制在药物反应表型的成本。在这里,我们描述了lcl的几个优点和局限性。此外,我们回顾了LCL实验设计和统计分析的几个重要方面。最后,我们提出了一个lcl被成功地用于鉴定候选单核苷酸多态性和基因变异的例子,这些基因对用于治疗慢性髓性白血病的化疗反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Leveraging Lymphoblastoid Cell Lines for Drug Response Modeling
Lymphoblastoid cell lines (LCL) are becoming popular tools for modeling drug response. LCLs, and other in vitro assays, offer the ability to test many drugs, doses, and biological samples relatively quickly and inexpensively. In addition, a unique advantage to LCLs is that they are available from a large cohort of individuals, providing the capability to test for genetic variability on a scale not readily available in other in vitro systems. Since oftentimes the genotype data is publically available, the experimental costs can be limited to the cost of the drug response phenotyping. Here we describe several advantages and limitations of LCLs. In addition we review several important aspects of LCL experimental design and statistical analysis. Lastly, we present an example of LCLs being successfully used to identify candidate single nucleotide polymorphisms and genes for variability in response to a chemotherapeutic used to treat chronic myeloid leukemia.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Proteomics Study of the Effect Left Atrial Appendage Resection on theEnergy Metabolism of Atrial Muscle in Beagle Dogs with Rapid Atrial Pacing Expression of NUP62 in the Development of Ovarian Cancer Translocation (2; 5) (q37.3, q14q35.3) in a Case of Male Infertility in Cotonou Editorial on Bioinformatics Tools and Techniques for Data Mining Ribosomes: Atomic Machines Association between Nucleic acids and Proteins
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1