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

Year: 2020
Type: dataset
Abstract: 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, in vitro 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 results
DOI: 10.5281/zenodo.3951612
Authors: Hartmann, Felix J, Mrdjen, Dunja, McCaffrey, Erin, Glass, David R, Greenwald, Noah F, Bharadwaj, Anusha, Khair, Zumana, Verberk, Sanne GS, Baranski, Alex, Baskar, Reema, Graf, William, Van Valen, David, Van den Bossche, Jan, Angelo, Michael, Bendall, Sean C
Institutions: Stanford Medicine, Stanford University, Amsterdam University Medical Centers, Cancer Center Amsterdam, Amsterdam Cardiovascular Sciences, Vrije Universiteit Amsterdam, California Institute of Technology
Language: English
Open Access status: green
OpenAlex ID: W4393434441
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