A Vector Nanoplatform for the Bioimaging of Deep-Seated Tumors.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
E I Shramova, S M Deyev, G M Proshkina
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Abstract

Today, in preclinical studies, optical bioimaging based on luminescence and fluorescence is indispensable in studying the development of neoplastic transformations, the proliferative activity of the tumor, its metastatic potential, as well as the therapeutic effect of antitumor agents. In order to expand the capabilities of optical imaging, sensors based on the bioluminescence resonance energy transfer (BRET) mechanism and, therefore, independent of an external light source are being developed. A targeted nanoplatform based on HER2-specific liposomes whose internal environment contains a genetically encoded BRET sensor was developed in this study to visualize deep-seated tumors characterized by overexpression of human epidermal growth factor receptor type 2 (HER2). The BRET sensor is a hybrid protein consisting of the highly catalytic luciferase NanoLuc (an energy donor) and a LSSmKate1 red fluorescent protein with a large Stokes shift (an energy acceptor). During the bioimaging of disseminated intraperitoneal tumors formed by HER2-positive SKOV3.ip1cells of serous ovarian cystadenocarcinoma, it was shown that the developed system is applicable in detecting deep-seated tumors of a certain molecular profile. The developed system can become an efficient platform for optimizing preclinical studies of novel targeted drugs.

用于深部肿瘤生物成像的载体纳米平台
如今,在临床前研究中,基于发光和荧光的光学生物成像在研究肿瘤转化的发展、肿瘤的增殖活性、转移潜力以及抗肿瘤药物的治疗效果方面是不可或缺的。为了扩展光学成像的功能,目前正在开发基于生物发光共振能量转移(BRET)机制的传感器,因此这种传感器不受外部光源的影响。本研究开发了一种基于 HER2 特异性脂质体的靶向纳米平台,其内部环境含有基因编码的 BRET 传感器,用于观察以人类表皮生长因子受体 2 型(HER2)过表达为特征的深部肿瘤。BRET传感器是一种混合蛋白,由高催化性荧光素酶NanoLuc(能量供体)和具有大斯托克斯位移的LSSmKate1红色荧光蛋白(能量受体)组成。在对由 HER2 阳性的浆液性卵巢囊肿腺癌 SKOV3.ip1 细胞形成的腹膜内播散性肿瘤进行生物成像时,结果表明所开发的系统适用于检测具有特定分子特征的深部肿瘤。所开发的系统可成为优化新型靶向药物临床前研究的有效平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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