Human multi-tissue deceased organ donor immune cell dataset

Characterisation of human tissue-resident T and Treg cell subsets. This dataset was used for the development of an interactive web-based high-dimensional data analysis tool called FlowAtlas. FlowAtlas works in tandem with FlowJo and enables fast and intuitive analysis of high-dimensional flow cytometry data including dimensionality reduction without down-sampling. It allows exploration of cluster characteristics, and integration of non-identical data-sets to enable data re-use and validation.
Conclusion:
T-reg cells found in human tissues are a heterogeneous population expressing different chemokine receptors, as well as tissue residency markers such as CD69. We explored Treg heterogeneity by performing dimensionality reduction, clustering and population annotation in FlowAtlas. FlowAtlas workflow successfully integrated immune cells stained with 3 different panels, from multiple tissues derived from 5 separate donors. FlowAtlas was relatively robust to small to moderate differences in panel design (tissues were stained with 3 different panels; we only exported and analysed T-cells). This property of FlowAtlas is also demonstrated on healthy control blood from 2 healthy donors, which we stained with the 3 non-identical panels.
Notes:
Instructions on downloading and using FlowAtlas can be found here: https://github.com/gszep/FlowAtlas.jl These FCS files only show single live T-cell events, and only parameters shared between all donors. Gating hierarchy, FlowJo workspace and FlowAtlas SOM are provided. Human tissue-derived immune dataset was stained with lot-specific antibody sets under identical conditions. Cytometer QC was performed (using CS&T, and 8-peak beads) before each data acquisition.