模块化设计
细胞生物学
化学
基因
计算生物学
生物
分子生物学
基因表达
基因表达调控
控制(管理)
HEK 293细胞
T细胞
基因组编辑
转染
计算机科学
细胞培养
合成生物学
基因缺失
作者
Giuliano Bonfá,Giovanna Martino,Assunta Sellitto,Juan Luis Blazquez-Roman,Fabiana Tedeschi,Antonio Rinaldi,Caio Raony Farina Silveira,F. Piro,Fabio Caliendo,Loris Melchiorri,D Perna,Rita Tarnai,Christoph Heuser,Fabio Mastrogiovanni,Timea Vadász,Freddie Starkey,Evangelos Nikolados,Filippo Menolascina,Luca Gattinoni,Velia Siciliano
标识
DOI:10.1038/s41467-026-77730-7
摘要
Synthetic circuits that couple transgene expression to endogenous transcription factor (TF) activity enable cellular response to changing functional states. In T cells, antigen stimulation results in dynamic changes of transcription factor expression programs. Harnessing these endogenous TF dynamics for programmable gene control remains an important challenge in engineered T cells. Here, we develop a library of synthetic promoters (SPs) responsive to seven TFs identified through transcriptomic analysis of T-cell activation programs. These promoters couple endogenous TF activity to transcriptional output across a broad dynamic range of inducibility and basal expression. We quantitatively profile promoter performance in HEK293 and Jurkat cells, evaluate them for orthogonality, and integrate them into Boolean logic gate architectures and network topologies to minimize basal transcriptional leakiness and improve ON/OFF ratios. We test selected synthetic promoters in primary human CD8⁺ T cells, under endogenous TF regulation, and we further characterize the NR4A2-responsive promoter subset in vitro and in tumor-infiltrating engineered T cells in a melanoma xenograft model, demonstrating dynamic and reversible activation.Together, these results provide a modular SP toolkit of TF-responsive synthetic promoters for programmable transcriptional control in engineered T cells. Achieving programmable gene regulation remains a challenge for engineering T cells. Here the authors characterize a library of synthetic promoters, responsive to seven endogenous T cell transcription factors, that show broad dynamic range of inducibility and basal expression.
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