ArticleNature methods2026
Decoding mechanoregulation in immunological synapses using biomimetic artificial cells.
Xiaolei Yu, Vincent Mukwaya, Minxing Yue, Shuo Yang, Qian Li, Weili Zhao, Chunhai Fan, Lin Wang, Yingxi Zhao, Hongkai Yang and 3 more
Abstract read
In one paragraphArticle in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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13 authors.
Xiaolei YuState Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
Vincent MukwayaState Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China. mukvince@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-5458-7703 Minxing YueShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shuo YangState Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0009-0001-0963-5737 Qian LiState Key Laboratory of Synergistic Chem-Bio Synthesis, School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhang Jiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China. liqian2018@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-1166-6583 Weili ZhaoShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chunhai FanState Key Laboratory of Synergistic Chem-Bio Synthesis, School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhang Jiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0002-7171-7338 Lin WangHebei Senlang Biotechnology, Shijiazhuang, China.
Yingxi ZhaoHebei Senlang Biotechnology, Shijiazhuang, China.
Hongkai YangHebei Senlang Biotechnology, Shijiazhuang, China.
Jiacan SuDepartment of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li WangShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. dr_wangli@126.com.ORCID http://orcid.org/0000-0003-2452-0169 Hongjing DouState Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China. hjdou@sjtu.edu.cn.ORCID http://orcid.org/0000-0001-5850-9174 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Mechanical force-driven signaling has emerged as a key regulator of cell-cell interactions (CCIs), which can enhance immune cell function. However, current biochemical approaches for studying CCIs offer minimal direct control over cellular bulk phenotypes, while synthetic biomaterial systems fail to mimic the dynamic complexity of cells. Here we introduce kpiCells, a biomaterial-based platform that uses a biomimetic membrane-endoplasmic architecture to enable finely tuned phenocopying of cellular states via modular mechanical, chemical and topographical inputs. We demonstrate that kpiCells can engage in physiological CCIs and reproduce critical subcellular features. In T cell systems, kpiCells enable integrated interrogation of afferent mechanosensing pathways and efferent force-exertion pathways, and support measurement of piconewton-scale forces at individual T cell antigen receptors as well as single cell-cell force fingerprints that define activation thresholds. This work establishes kpiCells as a bionic model that enables synthetic material design with the level of functional complexity approaching living cell systems.
Indexed as
Artificial CellsBiomimetic MaterialsBiomimeticsImmunological SynapsesMechanotransduction, CellularAnimalsCell CommunicationHumansReceptors, Antigen, T-CellT-LymphocytesReceptors, Antigen, T-Cell
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