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从3D打印皮升液滴网络进行化学信号的高分辨率图案化递送。

High-Resolution Patterned Delivery of Chemical Signals From 3D-Printed Picoliter Droplet Networks.

作者信息

Riexinger Jorin, Caganek Thomas, Wang Xingzao, Yin Yutong, Chung Khoa, Zhou Linna, Bayley Hagan, Krishna Kumar Ravinash

机构信息

Chemistry Research Laboratory, Department of Chemistry, University of Oxford, 12 Mansfield Road, Oxford, OX1 3TA, UK.

Medical Sciences Division, University of Oxford, Headley Way, Oxford, OX3 9DU, UK.

出版信息

Adv Mater. 2025 Jul;37(28):e2412292. doi: 10.1002/adma.202412292. Epub 2025 Apr 30.

Abstract

Synthetic cells, such as giant unilamellar vesicles, can be engineered to detect and release chemical signals to control target cell behavior. However, control over the targeting of cell populations is limited due to poor spatial or temporal resolution and the inability of synthetic cells to deliver patterned signals. Here, 3D-printed picoliter droplet networks are described that direct gene expression in underlying bacterial populations by patterned release of a chemical signal with temporal control. Shrinkage of the droplet networks prior to use achieves spatial control over gene expression with ≈50 µm resolution. Ways to store chemical signals in the droplet networks and to activate release at controlled points in time are also demonstrated. Finally, it is shown that the spatially-controlled delivery system can regulate competition between bacteria by inducing the patterned expression of toxic bacteriocins. This system provides the groundwork for the use of picoliter droplet networks in fundamental biology and in medicine in applications that require the controlled formation of chemical gradients (i.e., for the purpose of local control of gene expression) within a target group of cells.

摘要

合成细胞,如巨型单层囊泡,可以被设计用来检测和释放化学信号,以控制靶细胞的行为。然而,由于空间或时间分辨率较差以及合成细胞无法传递模式化信号,对细胞群体靶向的控制受到限制。在此,描述了一种3D打印的皮升液滴网络,它通过具有时间控制的化学信号的模式化释放来指导底层细菌群体中的基因表达。使用前液滴网络的收缩实现了对基因表达的空间控制,分辨率约为50微米。还展示了在液滴网络中存储化学信号并在受控时间点激活释放的方法。最后,结果表明,这种空间控制的递送系统可以通过诱导有毒细菌素的模式化表达来调节细菌之间的竞争。该系统为皮升液滴网络在基础生物学和医学中的应用奠定了基础,这些应用需要在靶细胞群体内控制化学梯度的形成(即用于局部控制基因表达)。

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