Modeling and Engineering T Cells: From Systems Understanding to Next-Generation Immunotherapies

T cells sit at the center of modern immunotherapy, yet many of the rules that govern their activation, differentiation, dysfunction (e.g., exhaustion), and long-term performance remain difficult to predict—and even harder to control. This Research Topic will highlight how systems-level approaches can convert T cell complexity into testable hypotheses, predictive frameworks, and actionable strategies for immunotherapy and immune modulation.We welcome contributions that model, measure, or engineer T cell behavior across scales, from molecular signaling and gene regulation to cell–cell interactions, tissue organization, and whole‑patient responses. We also welcome studies on how innate immune activation, antigen-presenting cell subsets and vector or vaccine platforms shape the polarization of T cell responses, including comparisons of immunotherapy platforms using single-cell and clinical immunomonitoring data. Submissions may draw on multi-omics and multi-scale data, including but not limited to single-cell and spatial profiling, time-resolved measurements, lineage tracing, perturbation screens, imaging, and clinical datasets. We encourage work that addresses cell-to-cell variability, stochasticity, and microenvironmental constraints (e.g., cytokines, antigen, nutrients, metabolites, hypoxia, biomechanical cues), and that clarifies how these factors shape T cell fate decisions and functional outcomes.This Topic also aims to showcase engineering and translational directions informed by quantitative understanding. Areas of interest include, but are not limited to: synthetic receptors and gene circuits; programmable cytokine and co-stimulation control; logic-gated activation; tunable persistence and memory formation; resistance to exhaustion and suppression; improved trafficking and tissue infiltration; safety mechanisms; rational design of viral vectors and heterologous prime-boost regimens to direct T cell quality; and approaches that modulate T cell interactions with other immune and stromal cells (e.g., dendritic cells, macrophages, tumor cells). We also welcome studies on manufacturing, quality control, and standardization, including predictive tools for potency, durability, safety, and batch comparability.Contributions may be experimental, computational, theoretical, or integrative, and may take the form of Original Research, Methods, Reviews, or Perspectives, provided they advance generalizable insight or practical design principles. Overall, this collection will provide a forum for research that connects foundational immunology with quantitative modeling and engineering—advancing our ability to understand, forecast, and shape T cell responses for cancer, autoimmunity, infection, vaccination, and beyond. Topic editors: Valentina Di Salvatore, Brandon DeKosky, Barbara De Melo Quintela, Fabricio Alves Barbosa da Silva, Lucas Fornari Laurindo Source: https://www.frontiersin.org/research-topics/77456/modeling-and-engineering-t-cells-from-systems-understanding-to-next-generation-immunotherapies