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通过曲率诱导的特定相受体脂质分区形成的膜结合蛋白的纳米级图案化。

Nanoscale patterning of membrane-bound proteins formed through curvature-induced partitioning of phase-specific receptor lipids.

机构信息

Department of Chemical Engineering and Materials Science, University of California, Davis, Davis, California 95616, United States.

出版信息

Langmuir. 2013 May 21;29(20):6109-15. doi: 10.1021/la401011d. Epub 2013 May 9.

DOI:10.1021/la401011d
PMID:23642033
Abstract

This work describes a technique for forming high-density arrays and patterns of membrane-bound proteins through binding to a curvature-organized compositional pattern of metal-chelating lipids (Cu(2+)-DOIDA or Cu(2+)-DSIDA). In this bottom-up approach, the underlying support is an e-beam formed, square lattice pattern of hemispheres. This curvature pattern sorts Cu(2+)-DOIDA to the 200 nm hemispherical lattice sites of a 600 nm × 600 nm unit cell in Ld - Lo phase separated lipid multibilayers. Binding of histidine-tagged green fluorescent protein (His-GFP) creates a high density array of His-GFP-bound pixels localized to the square lattice sites. In comparison, the negative pixel pattern is created by sorting Cu(2+)-DSIDA in Ld - Lβ' phase separated lipid multibilayers to the flat grid between the lattice sites followed by binding to His-GFP. Lattice defects in the His-GFP pattern lead to interesting features such as pattern circularity. We also observe defect-free arrays of His-GFP that demonstrate perfect arrays can be formed by this method suggesting the possibility of using this approach for the localization of various active molecules to form protein, DNA, or optically active molecular arrays.

摘要

这项工作描述了一种通过结合金属螯合脂质(Cu(2+)-DOIDA 或 Cu(2+)-DSIDA)的曲率组织组成模式来形成高密度膜结合蛋白阵列和图案的技术。在这种自下而上的方法中,底层支撑物是电子束形成的半球形方晶格图案。这种曲率图案将 Cu(2+)-DOIDA 排序到 Ld - Lo 相分离脂质多层中 600nm×600nm 单元的 200nm 半球形晶格位置。组氨酸标记的绿色荧光蛋白(His-GFP)的结合会创建一个高密的 His-GFP 结合像素的高密度阵列,这些像素定位于方晶格位置。相比之下,通过将 Cu(2+)-DSIDA 在 Ld - Lβ'相分离脂质多层中排序到晶格位置之间的平坦网格上,然后与 His-GFP 结合,就可以创建负像素图案。His-GFP 图案中的晶格缺陷导致出现有趣的特征,例如图案的圆形度。我们还观察到没有缺陷的 His-GFP 阵列,这表明可以通过这种方法形成完美的阵列,这表明可以使用这种方法将各种活性分子定位以形成蛋白质、DNA 或光学活性分子阵列。

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