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Immune cell-based screening assay for response to anticancer agents: applications in pharmacogenomics

机译:基于免疫细胞的抗癌药筛选方法:在药物基因组学中的应用

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Background: Interpatient variability in immune and chemotherapeutic cytotoxic responses is likely due to complex genetic differences and is difficult to ascertain in humans. Through the use of a panel of genetically diverse mouse inbred strains, we developed a drug screening platform aimed at examining interstrain differences in viability on normal, noncancerous immune cells following chemotherapeutic cytotoxic insult. Drug effects were investigated by comparing selective chemotherapeutic agents, such as BEZ-235 and selumetinib, against conventional cytotoxic agents targeting multiple pathways, including doxorubicin and idarubicin. Methods: Splenocytes were isolated from 36 isogenic strains of mice using standard procedures. Of note, the splenocytes were not stimulated to avoid attributing responses to pathways involved with cellular stimulation rather than toxicity. Cells were incubated with compounds on a nine-point logarithmic dosing scale ranging from 15 nM to 100 μM (37°C, 5% CO2). At 4 hours posttreatment, cells were labeled with antibodies and physiological indicator dyes and fixed with 4% paraformaldehyde. Cellular phenotypes (eg, viability) were collected and analyzed using flow cytometry. Dose-response curves with response normalized to the zero dose as a function of log concentration were generated using GraphPad Prism 6. Results: Phenotypes were quantified using flow cytometry, yielding interstrain variation for measured endpoints in different immune cells. The flow cytometry assays produced over 16,000 data points that were used to generate dose-response curves. The more targeted agents, BEZ-235 and selumetinib, were less toxic to immune cells than the anthracycline agents. The calculated heritability for the viability of immune cells was higher with anthracyclines than the novel agents, making them better suited for downstream genetic analysis. Conclusion: Using this approach, we identify cell lines of variable sensitivity to chemotherapeutic agents and aim to identify robust, replicable endpoints of cellular response to drugs that provide the starting point for identifying candidate genes and cellular toxicity pathways for future validation in human studies.
机译:背景:由于复杂的遗传差异,患者之间的免疫和化学治疗细胞毒性反应的变异性很可能难以确定。通过使用一组遗传多样的小鼠近交系,我们开发了一种药物筛选平台,旨在检查化学治疗性细胞毒性损伤后正常,非癌性免疫细胞上的活力间差异。通过比较选择性化疗剂(例如BEZ-235和selumetinib)与靶向多种途径的常规细胞毒性剂(包括阿霉素和伊达比星)来研究药物作用。方法:使用标准程序从36个同基因同系小鼠中分离出脾细胞。值得注意的是,未刺激脾细胞以避免将应答归因于细胞刺激而不是毒性。将细胞与化合物以从15 nM到100μM(37°C,5%CO2)的九点对数剂量规模孵育。处理后4小时,细胞用抗体和生理指示剂染料标记,并用4%多聚甲醛固定。收集细胞表型(例如生存力)并使用流式细胞仪进行分析。使用GraphPad Prism 6生成了剂量响应曲线,该响应曲线已标准化为零剂量,是对数浓度的函数。结果:使用流式细胞仪对表型进行了定量,得出了不同免疫细胞中不同终点的菌株间变异。流式细胞仪检测产生了超过16,000个数据点,这些数据点用于生成剂量反应曲线。与蒽环类药物相比,更具针对性的药物BEZ-235和selumetinib对免疫细胞的毒性较小。蒽环类药物对免疫细胞活力的遗传力要比新型试剂高,这使其更适合于下游遗传分析。结论:使用这种方法,我们可以鉴定出对化学治疗药物具有不同敏感性的细胞系,并旨在鉴定出对药物的细胞反应有力的,可复制的终点,这些终点为鉴定候选基因和细胞毒性途径提供了起点,以供将来在人类研究中进行验证。

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