Published July 19, 2020 | Version v1
Dataset Open

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

  • 1. Department of Pathology, School of Medicine, Stanford University
  • 2. Department of Molecular Cell Biology and Immunology, Amsterdam Cardiovascular Sciences, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam
  • 3. Division of Biology and Bioengineering, California Institute of Technology

Description

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

Files

scMEP_masscytometry_invitro_tcells.zip

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Additional details

Related works

Is part of
Journal article: 10.1038/s41587-020-0651-8 (DOI)
Preprint: 10.1101/2020.01.17.909796 (DOI)

References