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Automated Image Analysis of the Host-Pathogen Interaction between Phagocytes and Aspergillus fumigatus

机译:噬菌体与烟曲霉之间宿主-病原体相互作用的自动图像分析

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摘要

Aspergillus fumigatus is a ubiquitous airborne fungus and opportunistic human pathogen. In immunocompromised hosts, the fungus can cause life-threatening diseases like invasive pulmonary aspergillosis. Since the incidence of fungal systemic infections drastically increased over the last years, it is a major goal to investigate the pathobiology of A. fumigatus and in particular the interactions of A. fumigatus conidia with immune cells. Many of these studies include the activity of immune effector cells, in particular of macrophages, when they are confronted with conidia of A. fumigus wild-type and mutant strains. Here, we report the development of an automated analysis of confocal laser scanning microscopy images from macrophages coincubated with different A. fumigatus strains. At present, microscopy images are often analysed manually, including cell counting and determination of interrelations between cells, which is very time consuming and error-prone. Automation of this process overcomes these disadvantages and standardises the analysis, which is a prerequisite for further systems biological studies including mathematical modeling of the infection process. For this purpose, the cells in our experimental setup were differentially stained and monitored by confocal laser scanning microscopy. To perform the image analysis in an automatic fashion, we developed a ruleset that is generally applicable to phagocytosis assays and in the present case was processed by the software Definiens Developer XD. As a result of a complete image analysis we obtained features such as size, shape, number of cells and cell-cell contacts. The analysis reported here, reveals that different mutants of A. fumigatus have a major influence on the ability of macrophages to adhere and to phagocytose the respective conidia. In particular, we observe that the phagocytosis ratio and the aggregation behaviour of pksP mutant compared to wild-type conidia are both significantly increased.
机译:烟曲霉是一种普遍存在的空气传播真菌和机会性人类病原体。在免疫功能低下的宿主中,真菌可引起危及生命的疾病,例如浸润性肺曲霉病。由于真菌系统性感染的发生率在过去几年中急剧增加,因此研究烟曲霉的病理生物学,尤其是研究烟曲霉分生孢子与免疫细胞的相互作用是一个主要目标。这些研究中的许多研究都涉及免疫效应细胞(特别是巨噬细胞)在面对烟曲霉野生型和突变菌株的分生孢子时的活性。在这里,我们报告了从与不同烟曲霉菌株共孵育的巨噬细胞中共聚焦激光扫描显微镜图像的自动化分析的发展。目前,显微图像通常是人工分析的,包括细胞计数和确定细胞之间的相互关系,这非常耗时且容易出错。该过程的自动化克服了这些缺点并使分析标准化,这是进一步的系统生物学研究(包括感染过程的数学建模)的前提。为了这个目的,我们实验设置中的细胞被差异染色并通过共聚焦激光扫描显微镜进行监测。为了以自动方式执行图像分析,我们开发了一个规则集,该规则集通常适用于吞噬作用分析,在本例中,该规则集由Definiens Developer XD软件处理。作为完整图像分析的结果,我们获得了诸如大小,形状,细胞数量和细胞间接触等特征。此处报道的分析表明,烟曲霉的不同突变体对巨噬细胞粘附和吞噬各自分生孢子的能力有重大影响。特别是,我们观察到与野生型分生孢子相比,pksP突变体的吞噬率和聚集行为均显着增加。

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