开发用于生物医学应用的机械敏感合成细胞

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Yen-Yu Hsu , Sung-Won Hwang , Samuel J. Chen , Eben Alsberg , Allen P. Liu
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引用次数: 0

摘要

细胞感知和响应物理环境的能力在广泛的生物过程中发挥着重要作用。作为细胞膜中最基本的分子力传感器和换能器之一,机械敏感(MS)离子通道可将机械输入转化为生化或电信号,从而介导各种感觉。自下而上地构建细胞大小的小室,显示类似细胞的组织、行为和复杂性,也被称为合成细胞,这种方法作为一种孤立描述生物功能的实验平台已广为流行。通过在合成脂质双层膜中重建 MS 通道,我们设想将机械敏感合成细胞用于多种医学应用。在这里,我们将介绍利用超声波、剪切应力和压缩应力作为机械刺激来激活机械敏感合成细胞释放药物以治疗疾病的三种不同概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of mechanosensitive synthetic cells for biomedical applications

The ability of cells to sense and respond to their physical environment plays a fundamental role in a broad spectrum of biological processes. As one of the most essential molecular force sensors and transducers found in cell membranes, mechanosensitive (MS) ion channels can convert mechanical inputs into biochemical or electrical signals to mediate a variety of sensations. The bottom-up construction of cell-sized compartments displaying cell-like organization, behaviors, and complexity, also known as synthetic cells, has gained popularity as an experimental platform to characterize biological functions in isolation. By reconstituting MS channels in the synthetic lipid bilayers, we envision using mechanosensitive synthetic cells for several medical applications. Here, we describe three different concepts for using ultrasound, shear stress, and compressive stress as mechanical stimuli to activate drug release from mechanosensitive synthetic cells for disease treatments.

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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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