Single-cell metabolic profiling (scMEP) of human cytotoxic T cells

Datasets for Hartmann FJ et al. (2020) Single-cell metabolic profiling of human cytotoxic T cells. Nature Biotechnology Contains single-cell mass cytometry (CyTOF) datasets for metabolic analysis of human whole blood populations, <em>in vitro</em> T cell activation and analysis of metabolic states in human tissues as well as MIBI-TOF multiplexed images and segmented single-cell data of colorectal carcinoma and healthy colon. All CyTOF datasets have been manually gated on single, live cells to enable direct import into data analysis software (e.g. R environment) MIBI-TOF images have undergone noise removal as described in Keren et al. (2018) Cell Segmentation masks for MIBI-TOF data contain large non-cellular regions that need to be removed during downstream processing MIBI-TOF derived single-cell data is cell size normalized, arcsinh transformed and percentile normalized and contains manually annotated FlowSOM clustering resultsHartmann FJ等人（2020年）发表于《Nature Biotechnology》的《人类细胞毒性T细胞单细胞代谢谱分析》配套数据集，包含用于人类全血细胞群代谢分析的单细胞质谱流式（mass cytometry, CyTOF）数据集、体外（in vitro）T细胞激活分析相关数据、人类组织代谢状态分析数据，以及结直肠癌与健康结肠组织的MIBI-TOF多重成像图像和对应的单细胞分割数据。所有CyTOF数据集均已针对单细胞活细胞完成手动门控，可直接导入数据分析软件（如R语言环境）。MIBI-TOF图像已参照Keren等人（2018年）的研究方法完成降噪处理。MIBI-TOF数据的细胞分割掩码包含大量非细胞区域，需在下游分析流程中予以移除。MIBI-TOF衍生的单细胞数据已完成细胞大小归一化、反双曲正弦（arcsinh）变换与百分位归一化处理，并包含手动注释的FlowSOM聚类结果。