A comprehensive reference of mouse CD8αβ T cell differentiation states

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Authors: Giovanni Galletti, Anna-Maria Globig, Olga Barreiro, Taylor Heim, Shuozhi Liu, Samantha M. Borys, Odhran Casey, Alexander Monell, Dhruv Patravali, Nicole E. Scharping, Sara Quon, Kennidy K. Takehara
+10 more Amir Ferry, Kitty P. Cheung, Ellen Duong, Tomoyo Shinkawa, Stefani Spranger, Samuel M. Behar, Susan M. Kaech, Ananda W. Goldrath, David Zemmour, the immgenT project
Cited by: 1
References: 84

Abstract

Mouse CD8 T cell differentiation has been studied extensively in models of infections and cancer, yet no unified framework spans the full spectrum of immunological contexts. We present the CD8 immgenT framework, integrating >200,000 single-cell transcriptomes and 128-plex surface proteomes from 734 samples spanning multiple perturbations, tissues, and timepoints. Unbiased analysis identifies 21 states encompassing naive, effector, circulating memory, tissue-resident memory, progenitor-exhausted, and terminally-exhausted compartments, among others. These states re-emerge with striking molecular convergence across acute/chronic infections, cancer, autoimmunity, aging, and homeostasis, showing that near-identical transcriptional programs support protective or dysfunctional outcomes depending on developmental history and microenvironment. Classic archetypes map to discrete clusters but exhibit unappreciated heterogeneity and overlap, cautioning against rigid nomenclature. We provide validated combinatorial markers, flow cytometry gating strategies, and immgenT reference-based integration for reproducible annotation of new datasets. This universal coordinate system harmonizes fragmented CD8 T cell literature and clarifies relationships across diverse immune challenges.

Fields of Study & Subjects

Single-cell and spatial transcriptomics vaccines and immunoinformatics approaches T-cell and B-cell Immunology

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
4 February 2026
Language
EN
Document type
Preprint