工程化益生菌用于肿瘤靶向联合化学免疫治疗
Engineered probiotics for tumor-targeted combination chemoimmunotherapy.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Engineered receptors for soluble cellular communication and disease sensing.
Engineered receptors for soluble cellular communication and disease sensing.
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尽管哺乳动物合成生物学近期取得进展,目前仍缺乏模块化合成受体,能够稳健响应可溶性配体并进一步激活定制的细胞功能。这类受体具有广泛临床潜力,可用于调节工程化治疗细胞的活性;然而迄今只有靶向细胞表面靶点的受体接近临床转化。本研究针对这一空缺,改造一种称为合成跨膜内切蛋白酶受体(SNIPR)的受体结构,使其能够响应可溶性配体。SNIPR平台可被天然和合成可溶因子激活,并通过内吞作用及pH依赖性切割机制实现极低基础活性和高倍数激活。我们通过将嵌合抗原受体(CAR)T细胞活性限制在表达可溶性疾病相关因子的实体瘤中,展示该受体平台的治疗能力,从而绕过旁观器官靶向毒性这一主要障碍。我们还利用SNIPR平台构建完全合成的细胞间信号网络,使其独立于天然信号通路,进一步拓展合成生物学应用范围。我们的设计框架可实现细胞通讯及其与环境的相互作用,拓展合成细胞网络在临床和研究领域的能力。
Despite recent advances in mammalian synthetic biology, there remains a lack of modular synthetic receptors that can robustly respond to soluble ligands and, in turn, activate bespoke cellular functions.
Such receptors would have extensive clinical potential to regulate the activity of engineered therapeutic cells, but so far only receptors against cell-surface targets have approached clinical translation 1 . To address this gap, here we adapt a receptor architecture called the synthetic intramembrane proteolysis receptor (SNIPR) for activation by soluble ligands.
Our SNIPR platform can be activated by both natural and synthetic soluble factors, with notably low baseline activity and high fold activation, through an endocytic, pH-dependent cleavage mechanism.
We demonstrate the therapeutic capabilities of the receptor platform by localizing the activity of chimeric antigen receptor (CAR) T cells to solid tumours in which soluble disease-associated factors are expressed, bypassing the major hurdle of on-target off-tumour toxicity in bystander organs.
We further apply the SNIPR platform to engineer fully synthetic signalling networks between cells orthogonal to natural signalling pathways, expanding the scope of synthetic biology.
Our design framework enables cellular communication and environmental interactions, extending the capabilities of synthetic cellular networking in clinical and research contexts.
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