Nguyen Quang Nam, Perret Gérald, Ducongé Frédéric
CEA, DSV, I²BM, Molecular Imaging Research Center (MIRCen), 18 route du panorama, 92260 Fontenay-aux-Roses, France.
Neurodegenerative Diseases Laboratory, Centre National de la Recherche Scientifique (CNRS), Université Paris-Saclay, Université Paris-Sud, UMR 9199, 92260 Fontenay-aux-Roses, France.
Pharmaceuticals (Basel). 2016 Dec 10;9(4):76. doi: 10.3390/ph9040076.
Aptamers are identified through an iterative process of evolutionary selection starting from a random pool containing billions of sequences. Simultaneously to the amplification of high-affinity candidates, the diversity in the pool is exponentially reduced after several rounds of in vitro selection. Until now, cloning and Sanger sequencing of about 100 sequences was usually used to identify the enriched candidates. However, High-Throughput Sequencing (HTS) is now extensively used to replace such low throughput sequencing approaches. Providing a deeper analysis of the library, HTS is expected to accelerate the identification of aptamers as well as to identify aptamers with higher affinity. It is also expected that it can provide important information on the binding site of the aptamers. Nevertheless, HTS requires handling a large amount of data that is only possible through the development of new in silico methods. Here, this review presents these different strategies that have been recently developed to improve the identification and characterization of aptamers using HTS.
适体是通过从包含数十亿个序列的随机文库开始的迭代进化选择过程来鉴定的。在扩增高亲和力候选物的同时,经过几轮体外选择后,文库中的多样性会呈指数级降低。到目前为止,通常使用对约100个序列进行克隆和桑格测序来鉴定富集的候选物。然而,高通量测序(HTS)现在被广泛用于取代这种低通量测序方法。HTS能够对文库进行更深入的分析,有望加速适体的鉴定,并鉴定出具有更高亲和力的适体。预计它还能提供有关适体结合位点的重要信息。尽管如此,HTS需要处理大量数据,这只有通过开发新的计算机方法才有可能实现。在此,本综述介绍了最近为利用HTS改进适体的鉴定和表征而开发的这些不同策略。