QBC-CyTOF cross-species PBMC dataset: human and rhesus macaque single-cell proteomics datasets

Single-cell protein-profiling dataset accompanying the manuscript 'Split-Pool Synthesis Enables High-Dimensional Cross-Species Immune Cell Profiling and Signaling Quantification at Single-Cell Resolution'. Peripheral blood mononuclear cells (PBMCs) from 3 human donors (H1-H3) and 3 rhesus macaques (M1-M3) were profiled by Quantum Barcoding (QBC; split-pool synthesis) protein measurement and CyTOF mass cytometry, under basal unstimulated conditions. Stimulation-reference analyses use a separate published CyTOF cohort of 46 human and 15 rhesus donors under Basal, CD40L and GM-CSF conditions (Bjornson-Hooper et al 2022. Frontiers in Immunology). MARIO Fusion links cells computationally across assays and individuals, not measurements of the same physical cell. These data support cross-species clustering, MARIO integration, and Bayesian-network inference of conserved causal phospho-signaling relationships. Contents: raw CyTOF .fcs files, raw/processed QBC .fcs and per-cell .csv files, and combined single-cell expression matrices. Version 1.1.0 retains the original source-data archives and adds saved processed fusion assays, matching maps, trajectory fits, network-support tables and numerical results described in manuscript v6. This is a data-and-documentation deposit. Analysis code and processed Seurat objects are provided in the linked separately at GitHub commit repository f0050c36f9f24ccad25b23c52b259c31346df92c. Data and numerical tables are licensed under CC BY 4.0, subject to third-party attribution requirements. Separately linked source code is MIT-licensed.