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脂质体组合文库筛选用于发现膜活性肽。

Combinatorial Library Screening with Liposomes for Discovery of Membrane Active Peptides.

机构信息

Department of Biochemistry and Molecular Medicine, University of California Davis , 2700 Stockton Boulevard, Sacramento, California 95817, United States.

Division of Hematology/Oncology, University of California Davis Cancer Center , Sacramento, California United States.

出版信息

ACS Comb Sci. 2017 May 8;19(5):299-307. doi: 10.1021/acscombsci.6b00182. Epub 2017 Apr 13.

Abstract

Membrane active peptides (MAPs) represent a class of short biomolecules that have shown great promise in facilitating intracellular delivery without disrupting cellular plasma membranes. Yet their clinical application has been stalled by numerous factors: off-target delivery, a requirement for high local concentration near cells of interest, degradation en route to the target site, and in the case of cell-penetrating peptides, eventual entrapment in endolysosomal compartments. The current method of deriving MAPs from naturally occurring proteins has restricted the discovery of new peptides that may overcome these limitations. Here, we describe a new branch of assays featuring high-throughput functional screening capable of discovering new peptides with tailored cell uptake and endosomal escape capabilities. The one-bead-one-compound (OBOC) combinatorial method is used to screen libraries containing millions of potential MAPs for binding to synthetic liposomes, which can be adapted to mimic various aspects of limiting membranes. By incorporating unnatural and d-amino acids in the library, in addition to varying buffer conditions and liposome compositions, we have identified several new highly potent MAPs that improve on current standards and introduce motifs that were previously unknown or considered unsuitable. Since small variations in pH and lipid composition can be controlled during screening, peptides discovered using this methodology could aid researchers building drug delivery platforms with unique requirements, such as targeted intracellular localization.

摘要

膜活性肽 (MAPs) 是一类短生物分子,它们在促进细胞内递药而不破坏细胞膜方面表现出巨大的潜力。然而,由于多种因素的影响,其临床应用一直受到阻碍:非靶向递药、在感兴趣的细胞附近需要高局部浓度、在到达靶位的途中降解、以及对于穿透肽,最终被内体溶酶体隔室捕获。目前从天然存在的蛋白质中衍生 MAPs 的方法限制了新肽的发现,这些新肽可能克服这些限制。在这里,我们描述了一种新的高通量功能筛选检测方法,该方法具有发现具有定制细胞摄取和内涵体逃逸能力的新肽的能力。使用一珠一化合物 (OBOC) 组合方法筛选包含数百万种潜在 MAPs 的文库,这些文库可用于结合合成脂质体,脂质体可以适应模拟各种限制膜的特性。通过在文库中引入非天然和 D-氨基酸,以及改变缓冲条件和脂质体组成,我们已经鉴定出几种新的高效 MAPs,它们改进了现有标准,并引入了以前未知或认为不合适的基序。由于在筛选过程中可以控制 pH 和脂质组成的微小变化,因此使用这种方法发现的肽可以帮助研究人员构建具有独特要求的药物输送平台,例如靶向细胞内定位。

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