CyTOF and CITE-seq T1D B cell normalized data set
Insulin and Tetanus binding B cells were collected via MACS sorting for analysis using CyTOF (cytometry by time of flight). Data was then analyzed using unsupervised clustering and manual gating to find unique phenotypes and populations associated with recent-onset individuals with type 1 diabetes (T1D) compared to age-matched healthy controls (HC).
Steps to reproduce
Data was analyzed in R (v4.0.5) using the package: CytoTree. https://github.com/JhuangLab/CytoTree. Raw data files were normalized to arcsinh, gated to intercalated, live, singlet, CD45+, CD19+, CD3- , and downsampled to 1000 cells per sample before being merged into a CyT object for analysis. Normalized files were pre-gated to live, singlet, enriched fraction lymphocytes.