Quantum Barcoding Bridges High-Dimensional Immune Phenotyping with Signaling Responses across Species
- 1Department of Microbiology and Immunology, University of Nevada, Reno School of Medicine, Reno, NV, USA.
Abstract
Cross-species immune profiling is limited by marker-panel size and antibody cross-reactivity. We benchmark Quantum Barcoding (QBC), a split-pool oligo-antibody assay, against mass cytometry in human and rhesus macaque blood and integrate separately measured cells using MARIO. The resulting computationally matched profiles carry 174 protein features. Population-frequency concordance was higher in humans (Pearson r = 0.92) than rhesus macaques (r = 0.55), and fusion resolved complementary lineage subsets. Unstimulated signaling conservation varied by lineage, with B-cell profiles correlated across species (Spearman {rho} = 0.70). In the primary PBMC-reference analysis, GM-CSF increased pSTAT5 in human monocytes and dendritic populations and rhesus dendritic cells. Network inference identified convergent pSTAT5-centered connectivity changes in human monocytes and rhesus dendritic cells, including pSTAT1-edge reversal and gained pSTAT3/pERK coupling. These results connect broad surface phenotypes to inferred signaling organization while retaining species- and population-specific differences.
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BibTeX
@misc{tan2026quantum,
title = {{Quantum Barcoding Bridges High-Dimensional Immune Phenotyping with Signaling Responses across Species}},
author = {T.-K. Tan and K. Taylor and F. Zhang and Y. Bai and B. Zhu and M. A. Baertsch and S. A. Anronikov and Z. Bjornson-Hooper and D. L. L. Ho and A. Trejo and H. Nakauchi and A. Czechowicz and F. Steemers and G. P. Nolan and D. R. McIlwain},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.31.763237},
url = {https://www.biorxiv.org/content/10.64898/2026.10.31.763237v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - Quantum Barcoding Bridges High-Dimensional Immune Phenotyping with Signaling Responses across Species
AU - T.-K. Tan
AU - K. Taylor
AU - F. Zhang
AU - Y. Bai
AU - B. Zhu
AU - M. A. Baertsch
AU - S. A. Anronikov
AU - Z. Bjornson-Hooper
AU - D. L. L. Ho
AU - A. Trejo
AU - H. Nakauchi
AU - A. Czechowicz
AU - F. Steemers
AU - G. P. Nolan
AU - D. R. McIlwain
PY - 2026
DA - 2026/10/31
PB - bioRxiv
DO - 10.64898/2026.10.31.763237
UR - https://www.biorxiv.org/content/10.64898/2026.10.31.763237v1
AB - Cross-species immune profiling is limited by marker-panel size and antibody cross-reactivity. We benchmark Quantum Barcoding (QBC), a split-pool oligo-antibody assay, against mass cytometry in human and rhesus macaque blood and integrate separately measured cells using MARIO. The resulting computationally matched profiles carry 174 protein features. Population-frequency concordance was higher in humans (Pearson r = 0.92) than rhesus macaques (r = 0.55), and fusion resolved complementary lineage subsets. Unstimulated signaling conservation varied by lineage, with B-cell profiles correlated across species (Spearman {rho} = 0.70). In the primary PBMC-reference analysis, GM-CSF increased pSTAT5 in human monocytes and dendritic populations and rhesus dendritic cells. Network inference identified convergent pSTAT5-centered connectivity changes in human monocytes and rhesus dendritic cells, including pSTAT1-edge reversal and gained pSTAT3/pERK coupling. These results connect broad surface phenotypes to inferred signaling organization while retaining species- and population-specific differences.
ER -