Journal article
Uncovering the Adaptive Tumor Immunity Interactions from a Single-Cell Level
Advanced healthcare materials, e03411
20 Jan 2026
PMID: 41559957
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The cellular, dynamics, and spatial heterogeneity of tumor adaptive immunity pose great challenges to tumor-immune cell co-culture studies. Conventional large-cell-scale models often mask the intrinsic diversity of tumor and immune cells, missing the essential information for elucidating immunotherapy mechanisms, discovering rare cell subtypes, and screening cell surface receptors. A single-cell-scale interaction model has the potential to unravel the dynamic processes among specific cell subtypes, uncovering the differences in cell interaction and the resulting divergent outcomes. This paper reports the 3D printing of a single-cell leveled immuno-oncology model to investigate adaptive immune interactions among dendritic cells, T cells, and melanoma cells. The cells within this model successfully recapitulate key motility characteristics of adaptive immunity, including recognition, presentation, cytotoxicity, and immunosuppression. The dynamic results revealed a strong correlation between cell interaction and both motility and spatial distribution, specifically showing that the duration required for contact increased by 4-6 times when the distance exceeds 60 mu m. Tracking and analysis of T cells further revealed the consistency between motility and biofunctions under the stimulation of different dendritic cell types, T cell subtypes, and stimulatory factors. By reproducing cell contact events under controllable variables, the current model helps to refine and validate knowledge of immune synapses and immune-tumor cell interactions.
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Details
- Title
- Uncovering the Adaptive Tumor Immunity Interactions from a Single-Cell Level
- Creators
- Tiankun Liu - Tsinghua UniversityYuan Pang - Beijing Tsinghua Chang Gung HospitalChang Zhou - Tsinghua Univ, Biomfg Ctr, Dept Mech Engn, Beijing, Peoples R ChinaZhenzhen Zhou - Tsinghua UniversityGuoliang Li - College Station Medical CenterYuxuan Zheng - Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu, Sichuan, Peoples R ChinaWeihao Hu - University of Electronic Science and Technology of ChinaZhihua Liu - Tsinghua UniversityLi Yu - Center for Life SciencesKaitai Zhang - Peking Union Medical College HospitalShujun Cheng - Peking Union Medical College HospitalWen Zhang - National Cancer CenterWei Sun - Drexel University, Mechanical Engineering and Mechanics
- Publication Details
- Advanced healthcare materials, e03411
- Publisher
- Wiley
- Number of pages
- 17
- Grant note
- 100304002 / Tsinghua Mechanical Engineering Department Research Fund 2024YFB4607704 / National Key Research and Development Program of China; National Key Research & Development Program of China B17026 / The 111 Project; Ministry of Education, China - 111 Project Z23110000 7223006 / Beijing Science and Technology Plan 7254443 / Beijing Municipal Natural Science Foundation; Beijing Natural Science Foundation 20250484990 / Beijing Nova Program; Beijing Municipal Science & Technology Commission 52175273; 52422508; 82473745 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:001665654300001
- Scopus ID
- 2-s2.0-105028116658
- Other Identifier
- 991022165636504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical
- Materials Science, Biomaterials
- Nanoscience & Nanotechnology