High-dimensional mass cytometry (Cytometry by Time-Of-Flight; CyTOF) is a multiparametric single-cell approach that allows for more than 40 parameters to be evaluated simultaneously, opening the possibility to dissect cellular heterogeneity and elucidate functional interactions between different cell types. However, the complexity of these data makes analysis and interpretation daunting. We created High-throughput Population Profiler (HiPPO), a tool that reduces the complexity of the CyTOF data and allows homogeneous clusters of cells to be visualized in an intuitive manner. Each subpopulation is mapped to the Population Analysis Database (PANDA), an open-source, manually curated database containing protein expression profiles for selected markers of primary cells, allowing for cell type abundance in the analyzed samples to be monitored. Custom cell definitions can be submitted for targeted identifications. All cell clusters, regardless of their annotation status, are available for further analyses. HiPPO also conducts nonparametric tests to determine whether differences in protein expression levels between conditions are significant. HiPPO strikes a balance between diagnostic power and computational burden. Its minimal computational footprint allows for subpopulations in a heterogeneous sample to be identified and quantified quickly.

中文翻译：

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HiPPO 和 PANDA：支持质谱数据分析的两种生物信息学工具。

高维质谱流式细胞术（Cytometry by Time-Of-Flight；CyTOF）是一种多参数单细胞方法，可同时评估 40 多个参数，为剖析细胞异质性和阐明不同细胞类型之间的功能相互作用开辟了可能性. 然而，这些数据的复杂性使得分析和解释令人生畏。我们创建了高通量种群分析器 (HiPPO)，该工具可降低 CyTOF 数据的复杂性，并允许以直观的方式显示同质细胞簇。每个亚群都映射到种群分析数据库 (PANDA)，这是一个开源的、手动管理的数据库，其中包含选定的原代细胞标记的蛋白质表达谱，允许监测分析样品中的细胞类型丰度。可以提交自定义单元格定义以进行目标识别。所有细胞簇，无论其注释状态如何，都可用于进一步分析。HiPPO 还进行非参数检验，以确定不同条件下蛋白质表达水平的差异是否显着。HiPPO 在诊断能力和计算负担之间取得了平衡。其最小的计算足迹允许快速识别和量化异质样本中的亚群。HiPPO 在诊断能力和计算负担之间取得了平衡。其最小的计算足迹允许快速识别和量化异质样本中的亚群。HiPPO 在诊断能力和计算负担之间取得了平衡。其最小的计算足迹允许快速识别和量化异质样本中的亚群。