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1-D Imaging Cytometry: Statistical Assays for Immunotherapy Drug Screening

机译:一维成像细胞计数法:免疫疗法药物筛选的统计分析

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摘要

Modern cancer immunotherapy involves the conditioning of endogenous T cells to fight cancerous bodies that have managed to resist or avoid detection. Recently approved antibody drugs target the immune checkpoint pathway in T cells to prevent their tolerance to cancer antigens. There exists a compelling need, especially in the drug discovery world, to develop better assays for screening and to study the underlying mechanisms of these new antibody drugs.;The core motivation of my work is to develop a primary cell assay for the immune checkpoint pathway using 1-D imaging cytometry. The assay is focused on high throughput and high content screening. It takes advantage of our novel 1-D imaging cytometer platform. The assay is designed to artificially induce anergy in primary human T cells and systemically study their drug response. An automated statistical method quantifies the functional phenotypes of both healthy and anergic T cells into a single descriptive readout. Reducing localization of biomarkers into a single 'activity score' readout has many advantages for drug screening and characterization. Additional assays were developed to study T cell activation dynamics and other signaling events during the immune checkpoint pathway.;Our 1-D instrument leverages both the high throughput aspects of traditional flow cytometry and the high spatial content of 2-D imaging cytometers. The PMC data analysis emphasizes an unbiased approach to analyze flow cytometry data, which eliminates the subjective manual gating of current cytometric methods. This is crucial to developing more accurate and reliable assays with minimal supervision and need for expert operators. The high-throughput and high-content capabilities presented enable new types of assays previously not possible with human primary T cells. Adoption of physiological relevant primary cell assays has potential to revolutionize large-scale drug screening and future applications in personalized medicine.
机译:现代癌症免疫疗法涉及调节内源性T细胞,以对抗已成功抵抗或避免被发现的癌体。最近批准的抗体药物靶向T细胞中的免疫检查点途径,以防止其对癌症抗原的耐受性。特别是在药物开发领域,迫切需要开发更好的测定方法以进行筛选并研究这些新抗体药物的潜在机制。我工作的核心动机是开发用于免疫检查点途径的原代细胞测定法使用一维成像细胞仪该测定法专注于高通量和高含量筛选。它利用了我们新颖的一维成像细胞仪平台。该试验旨在在人原代T细胞中人工诱导无反应,并系统地研究其药物反应。自动化的统计方法将健康和厌氧T细胞的功能表型量化为单个描述性读数。将生物标志物的定位减少为单个“活性评分”读数对于药物筛选和表征具有许多优势。开发了其他检测方法来研究免疫检查点途径中的T细胞活化动力学和其他信号事件。;我们的一维仪器同时利用了传统流式细胞仪的高通量和二维成像细胞仪的高空间含量。 PMC数据分析强调了一种无偏见的方法来分析流式细胞仪数据,从而消除了当前细胞仪方法的主观人工门控。这对于在最少的监督和需要专家操作员的情况下开发更准确,可靠的测定至关重要。所展示的高通量和高含量功能可实现人类原代T细胞以前无法进行的新型测定。生理相关的原代细胞测定法的采用可能会彻底改变大规模药物筛选和个性化医学的未来应用。

著录项

  • 作者

    Wang, Steve S.;

  • 作者单位

    Boston University.;

  • 授予单位 Boston University.;
  • 学科 Biomedical engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 163 p.
  • 总页数 163
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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