immgenT: A Comprehensive Reference of Convergent T-cell States in the Mouse
Magill, I.; Casey, O.; Mallah, D.; Panigrahi, S. S.; Zhou, L.; Barreiro del Rio, O.; Bangs, D. J.; Bee, G. C. W.; Borys, S.; Choi, J.; Ergen, C.; Ferraj, E.; Fiusco, M.; Freuchet, A.; Galletti, G.; Globig, A.-M.; Heim, T.; Imianowski, C.; Lai, R.; Liang, Z.; Lebron Figueroa, A.; Lucas, E. D.; Merkenschlager, J.; Osum, K.; Reilly, S.; Shinkawa, T.; Thefaine, C. E.; Weiss, E. S.; Yang, L.; Zhang, S.; Zorzetto-Fernandes, A. L.; Croteau, J. D.; Alegre, M.-L.; Behar, S. M.; Bosselut, R.; Brossay, L.; Cadwell, K.; Chervonsky, A.; Gapin, L.; Hamilton, S. E.; Huh, J. R.; Iliev, I.; Jabri, B.; Jameson,
Show abstract
The immgenT collaborative project generated a comprehensive molecular atlas of T cells spanning virtually all mouse organs and disease states, profiling [~]800,000 cells from 750 samples with RNA, 128-plex surface protein, and {beta}TCR sequence. Applying a deep generative model to joint RNA and protein data defined a finite landscape of T-cell states organized into eight lineages and 110 robust clusters, integrating identical cells from different contexts, and resolving prior nomenclatures. Analysis of effector molecules, transcription factors and modules showed that both immunological functions and regulatory programs are shared across cell states. This framework provides a stable, reusable reference, demonstrated by computationally integrating 16 external datasets from diverse biological contexts. A set of public web tools supports browsing of these data, allows mapping of any dataset onto the immgenT framework. These results propose a molecular classification of T cells organized around a set of shared states reused across immunological contexts.
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