Supplementary data for Salazar-Cavazos et al. Stochasticity in cancer immunotherapy stems from rare but functionally-critical Spark T cells

Supplementary data for Salazar-Cavazos et al. Stochasticity in cancer immunotherapy stems from rare but functionally-critical Spark T cells, includes the single-cell dataframes (.csv files) of CD8+ T cells used for the StoICS pipeline in Figures 2 and 4 (mouse and human datasets, respectively), which includes columns with different types of information for each of the cells: condition info, expression values for each marker, UMAP coordinates, and cluster number for different clustering depths. The clustering depths identified as optimal were 0.5 for the mouse dataset (Figure 2) and 1.6 for the human dataset (Figure 4). Additionally, the .fcs files are included, accompanied by plate layouts that contain a visual representation of the conditions and locations of the samples on the plates analyzed by spectral flow cytometry (Cytek Aurora 5L). For questions or request of additional information, please contact Grégoire Altan-Bonnet at [e-mail].