Aptamers from cell-based selection for bioanalytical applications.

Aptamers from cell-based selection for bioanalytical applications.
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DOI:
10.1021/cr300468w
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发表时间:
2013-04-10
期刊:
影响因子:
62.1
通讯作者:
Jiang J
Jiang J
中科院分区:
化学1区
文献类型:
--
作者:
Tan W;Donovan MJ;Jiang J

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核酸是生命的基础。特定的序列翻译某些遗传性状、蛋白质表达,并最终翻译细胞功能。然而,核酸不仅存储遗传信息,而且它们对于识别生物化合物非常有用。这些分子,当处于单链形式时,被称为适体,其通过利用核酸靶向某些生物分子的能力而获得了很多关注。更具体地说,适体有可能成为生物分析中非常有效的工具。随着适体应用的发展和适体生物利用度的提高,其有用性的实现正在增加。适体可以来源于称为“通过指数富集的配体系统进化”(SELEX)的过程。为了开发用于细胞膜靶的适体,使用称为细胞-SELEX的方法。自大约二十年前开始以来,用于应用的适体的开发已经大大扩展。其中许多发展,特别是生物医学应用方面的发展,仍处于研究阶段,但成果令人鼓舞。一个有前途的领域是生物标志物的发现。生物标志物的发现已经付出了很多努力,但仍需改进。蛋白质组学方法,如二维凝胶电泳(2D-GE)和差异成像凝胶电泳(DIGE),然后质谱(MS)鉴定蛋白质,已用于生物标志物的发现,但结果有限。阐明在疾病中差异表达的膜蛋白仍然是一个挑战。1,2此外,MS和2D-GE都不能给出细胞膜蛋白的完整表示。MS是一种有效的分析工具。然而,它的灵敏度限于蛋白质浓度的纳摩尔范围,从而阻碍了它检测大分子的能力。
Nucleic acids are the foundation of life. Specific sequences translate certain genetic traits, protein expression, and, ultimately, cellular function. Yet, nucleic acids not only store genetic information, but they can be very useful for the recognition of biological compounds. These molecules, when in single-stranded form, are called aptamers, which have gained much attention by harnessing the ability of nucleic acids to target certain biological molecules. More specifically, aptamers have the potential to be a very effective tool in bioanalysis. As the applications for aptamers evolve and the bioavailability of aptamers improves, the realization of their usefulness is increasing. Aptamers can be derived from a process termed “systematic evolution of ligands by exponential enrichment”(SELEX). To develop aptamers for cell membrane targets, a process termed cell-SELEX is used. The development of aptamers for applications has greatly expanded since their inception approximately two decades ago. Many of these developments, particularly those for biomedical applications, are still at the research stage, but results are promising. One promising area is biomarker discovery. Much effort has been put into biomarker discovery, but improvement is still needed. Proteomic methods, such as two-dimensional gel electrophoresis (2D-GE) and differential imaging gel electrophoresis (DIGE), followed by mass spectrometry (MS) identification of proteins, have been employed for biomarker discovery, but with limited results. The elucidation of membrane proteins that are differentially expressed in disease is still a challenge. 1, 2 Furthermore, both MS and 2D-GE fail to give a full representation of cellular membrane proteins. MS serves as an effective tool for analytical purposes. However, its sensitivity is limited to the nanomolar range for protein concentrations, thus hindering its ability to detect a large
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