Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.
PLoS One. 2011;6(12):e29604. doi: 10.1371/journal.pone.0029604. Epub 2011 Dec 29.
SELEX is an iterative process in which highly diverse synthetic nucleic acid libraries are selected over many rounds to finally identify aptamers with desired properties. However, little is understood as how binders are enriched during the selection course. Next-generation sequencing offers the opportunity to open the black box and observe a large part of the population dynamics during the selection process.
We have performed a semi-automated SELEX procedure on the model target streptavidin starting with a synthetic DNA oligonucleotide library and compared results obtained by the conventional analysis via cloning and Sanger sequencing with next-generation sequencing. In order to follow the population dynamics during the selection, pools from all selection rounds were barcoded and sequenced in parallel.
High affinity aptamers can be readily identified simply by copy number enrichment in the first selection rounds. Based on our results, we suggest a new selection scheme that avoids a high number of iterative selection rounds while reducing time, PCR bias, and artifacts.
SELEX 是一个迭代过程,在这个过程中,高度多样化的合成核酸文库经过多轮筛选,最终鉴定出具有所需特性的适体。然而,人们对结合物在选择过程中是如何富集的知之甚少。下一代测序技术提供了一个机会,可以打开黑盒子,观察选择过程中的大部分种群动态。
我们从合成 DNA 寡核苷酸文库开始,对模型靶标链霉亲和素进行了半自动 SELEX 程序,将通过克隆和 Sanger 测序进行的常规分析结果与下一代测序进行了比较。为了跟踪选择过程中的种群动态,所有选择轮次的池都进行了条形码标记,并并行进行测序。
通过在第一轮选择中简单地通过拷贝数富集,就可以很容易地鉴定出高亲和力的适体。基于我们的结果,我们提出了一种新的选择方案,该方案在减少时间、PCR 偏倚和人为因素的同时,避免了大量的迭代选择轮次。