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Development of automated fluorescence microscopy methods to assist the diagnosis and treatment of human malignancies

机译:自动荧光显微镜方法的发展,以协助诊断和治疗人类恶性肿瘤

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摘要

Fluorescence microscopy is a powerful technique used in many biological laboratories. It is often used as anillustrative tool but in combination with manual efforts, valuable quantitative results can also be obtained. Thepotential of automated fluorescence microscopy has been clearly shown by the high-content and high throughputstudies performed in the pharmaceutical industry and more recently in specialized high throughput imaging facilities.Computer controlled image capture and analysis not only scales up the actual image capture process and dataproduction it also brings an important level of objectiveness into microscopy, a field otherwise suffering from aninherent human bias in the selection of which objects to study. There is a growing need for the technique to beavailable for “everyone”, as a regular microscopy tool in biological laboratories.This thesis illustrates that the combination of available and affordable techniques allow us to develop automatedmicroscopy methods, including automated capture and image analysis routines that can be applied to answerdifferent biological questions. We show that a visual programming language enable us to make flexible applicationsfor automated microscopy, without detailed knowledge of complex computer languages (Paper I, Paper III - PaperVI).Using our automated fluorescence imaging and analysis method, in combination with a fluid dispenser robot fordrug printing, we have developed an assay for high throughput drug sensitivity testing. In Paper III, we studied theeffect of 29 different cytostatic drugs on 17 different lymphoblastoid cell lines. These cell lines are good in vitromodels for the post-transplant lymphoproliferative disease (PTLD), and the aim of this study was to characterizewhich drugs would be optimal in the treatment of these patients. Summarizing the effect of each drug on all 17LCLs, we identified epirubicin and paclitaxel as drugs that were highly effective (even at low concentrations). Thesame microscopy method was applied in combination with an analysis program that could identify and countdifferentially labelled cells in co-cultures. Using this approach, we could characterize which cytostatic drugs affectNK cell cytotoxicity negatively (Paper IV). Our data suggested that chemotherapy protocols including proteosomeinhibitors (such as bortezomib) or anti-microtubule drugs (paclitaxel, docetaxel and vinblastine) may interfere withNK cell-based immunotherapy, if applied simultaneously. Taken together, these two studies suggested that our drugsensitivity test might prove useful in assisting the design of optimal and individualized treatment protocols forcancer patients.In Paper V and VI, we have applied the technique in an approach to study neighbour suppression by fibroblasts ontumor cell proliferation, in an attempt to mimic in vitro a possible microenvironmental control function in vivo. Thesetwo studies demonstrated that the culture of tumor cells on monolayer of primary fibroblasts, might lead to eithergrowth stimulation or growth inhibition of tumor cells. Fibroblasts derived from the prostate of patients diagnosedwith prostate carcinoma (potential CAFs) were the least inhibiting, and occasionally even promoting tumor cellproliferation. However, fibroblasts derived from the skin of pediatric patients were highly represented in the groupof the most inhibitory fibroblasts. Our high-throughput study, with over 500 heterotypic cell combinations, withfour independent measurements for each sample and individual counting of each tumor cell, indicated that theeffect of fibroblasts on tumor cell proliferation was predominantly inhibitory. The technique allowed us to identifyfibroblasts with consistently high and with consistently low inhibitory capacity. These are valuable fibroblasts to usein further studies to understand the mechanism behind inhibition and its possible clinical relevance. In Paper VI wespecifically investigated the role of the structure of the fibroblast monolayer. We found that it was clearly notsufficient to have the inhibitory fibroblasts present in the mixed cell culture but that they also had to form aconfluent and sufficiently matured, intact monolayer to exert the inhibitory effect. Our data suggested thatstructured accumulation and deposition of extracellular matrix molecules might provide orientation dependentbehavioral cues to the tumor cell in an un-manipulated, inhibitory monolayer. Preliminary gene profiling suggestedmultiple differences in the signature of inhibitory and non-inhibitory fibroblasts.
机译:荧光显微镜是许多生物实验室中使用的强大技术。它通常用作说明性工具,但与手动操作结合,也可以获得有价值的定量结果。自动化荧光显微镜的潜力已在制药业以及最近在专门的高通量成像设备中进行的高含量和高通量研究得到了清晰显示,计算机控制的图像捕获和分析不仅扩大了实际的图像捕获过程并提高了数据生产量还为显微镜带来了重要的客观性,否则该领域在选择要研究的对象时会受到人为固有的偏见。作为生物学实验室中的常规显微镜工具,越来越需要将这种技术用于“每个人”。本文说明,可用技术和可负担技术的结合使我们能够开发自动化显微镜方法,包括自动捕获和图像分析程序,可用于回答不同的生物学问题。我们证明了可视化的编程语言使我们能够灵活地应用于自动化显微镜,而无需了解复杂的计算机语言(论文I,论文III-PaperVI)。结合使用我们的自动荧光成像和分析方法以及流体分配器机器人前药印刷方面,我们开发了一种用于高通量药物敏感性测试的检测方法。在论文三中,我们研究了29种不同的细胞抑制药物对17种不同的成淋巴细胞样细胞系的影响。这些细胞系是移植后淋巴增生性疾病(PTLD)的良好体外模型,本研究的目的是鉴定哪种药物对这些患者的治疗最佳。总结每种药物对所有17LCL的影响,我们确定了表柔比星和紫杉醇为高效药物(即使在低浓度时)。将相同的显微镜方法与分析程序结合使用,该程序可以识别和计数共培养物中的差异标记细胞。使用这种方法,我们可以表征哪些细胞抑制药物对NK细胞的细胞毒性产生负面影响(论文IV)。我们的数据表明,包括蛋白体抑制剂(如硼替佐米)或抗微管药物(紫杉醇,多西紫杉醇和长春碱)在内的化疗方案,如果同时使用,可能会干扰基于NK细胞的免疫治疗。综上所述,这两项研究表明我们的药敏试验可能被证明有助于辅助针对癌症患者的最佳和个性化治疗方案的设计。在论文V和VI中,我们已将该技术应用于研究成纤维细胞对肿瘤细胞增殖的抑制作用的方法试图在体外模拟体内可能的微环境控制功能。这两项研究表明,在原代成纤维细胞单层上培养肿瘤细胞可能会导致肿瘤细胞的生长刺激或生长抑制。被诊断患有前列腺癌(潜在的CAF)的患者的前列腺中成纤维细胞的抑制作用最小,有时甚至促进肿瘤细胞的增殖。然而,在抑制性最强的成纤维细胞组中,儿科患者皮肤来源的成纤维细胞占很高的比例。我们的高通量研究具有500多种异型细胞组合,对每个样品进行四个独立测量,并对每个肿瘤细胞进行单独计数,结果表明,成纤维细胞对肿瘤细胞增殖的影响主要是抑制性的。该技术使我们能够鉴定出抑制能力始终很高的成纤维细胞。这些有价值的成纤维细胞可用于进一步研究,以了解抑制作用背后的机制及其可能的临床意义。在论文VI中,我们专门研究了成纤维细胞单层结构的作用。我们发现,在混合细胞培养物中存在抑制性成纤维细胞显然是不够的,但是它们还必须形成融合的且足够成熟的完整单层才能发挥抑制作用。我们的数据表明,细胞外基质分子的结构化积累和沉积可能会在未操纵的抑制性单层细胞中为肿瘤细胞提供依赖于方向的行为提示。初步的基因分析表明,抑制性和非抑制性成纤维细胞的特征存在多种差异。

著录项

  • 作者

    Flaberg Emilie;

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  • 年度 2011
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  • 原文格式 PDF
  • 正文语种 eng
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