Year: 2026
Type: preprint
Abstract: Cell cycle (CC) dynamics are reflected in diverse T cell processes such as TCR activation, expansion, contraction, differentiation, senescence, anergy, and exhaustion; linking CC behaviors to functional and dysfunctional T cell states in development and disease. Progression through CC checkpoints is also tightly linked to cell fate decisions across development. Yet, much remains unknown about the connection between CC sensing and T cell differentiation programs. To disentangle the relationship across T cell state, time-since-activation, receptor signaling, division, and CC, we leverage high-throughput single-cell mass cytometry for parallel measurement of these diverse biological states. By modulating CC progression and receptor signaling with inhibitors as well as tonic signaling Chimeric Antigen Receptor (CAR) models of T cell exhaustion, we reveal that earlier G1/S CC programs crosstalk with receptor signaling to control T cell fate, and that exhaustion programs are downstream to aberrant, S-G2 phase CC arrest signatures in tonic CAR signaling in vitro , in situ, and in vivo across human cancers in association with CD8 T-lymphocyte dysfunction.
Language: English
Topic: T-cell and B-cell Immunology
Subfield: Immunology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: green
Awards: Origins of human blood lineages in regenerative medicine, Uncovering mechanisms of protection from Alzheimer's disease in CHIP using human cohorts and biosamples, Next Generation Immunotherapies for Pediatric Cancers, G9000095334, Deciphering the Glycan Code in Human Alzheimer's Disease Brain, Multimodal histologic atlas of human bone marrow, Molecular Regulation of Stem Cell Aging, Stanford Cancer Immune Monitoring and Analysis Center (CIMAC), Innate-adaptive immune bridging in gravidity-dependent immunity against placental malaria: a multi-omics approach, Molecular and Cellular Immunobiology, Uncoupling Age- Versus Cognitive-Related Cellular Senescence in Alzheimer's Disease
OpenAlex ID: W7164535835
