Integrative Multi-Omics Reveals a Regulatory and Exhausted T-Cell Landscape in CLL and Identifies Galectin-9 as an Immunotherapy Target

Data set containing mass cytometry (CyTOF) data profiling T cells from 22 CLL LNs, plus 7 paired PB and 3 paired BM samples, as well as 13 reactive LNs (rLNs) using a panel of 42 antibodies designed to identify and characterize naïve, memory, effector, regulatory and exhausted T cells. The analysis comprises 5.29 x106 T cells, with a median of 51,937 cells per sample.The methodology used to produce and analyse this data is specified in the manuscript (Llaó-Cid, L. et al. Integrative Multi-Omics Reveals a Regulatory and Exhausted T-Cell Landscape in CLL and Identifies Galectin-9 as an Immunotherapy Target. Nat Commun (2025)). Raw .fcs files were processed using the flowCore and CATALYST R packages. The uploaded .rds file contains the processed data of all samples.