Imashimizu Masahiko, Takahashi Masaki, Amano Ryo, Nakamura Yoshikazu
Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo, 108-8639, Japan.
RIBOMIC Inc., Minato-ku, Tokyo, 108-0071, Japan.
Biol Methods Protoc. 2018 May 24;3(1):bpy004. doi: 10.1093/biomethods/bpy004. eCollection 2018.
Aptamers are oligonucleotide ligands with specific binding affinity to target molecules. Generally, RNA aptamers are selected from an RNA pool with random sequences, using the technique termed SELEX, in which the target-binding RNA molecules are repeatedly isolated and exponentially amplified. Despite several advantages, SELEX often produces uncertain results during the iterative amplifications of the rare target-binding RNA molecules. Here, we develop a non-repeated, primer-less and target immobilization-free isolation method for generating RNA aptamers, which is robust to experimental noise. Uniquely, this method focuses on finding and removal of non-aptamer sequences from the RNA pool by RNase digestion leaving target-bound aptamer molecules, and thus is independent of aptamer types. The undigested RNA sequences remaining are so few in number that they must be mixed with a large excess of a known sequence for further manipulations and this sequence is then removed by restriction digestion followed by high-throughput sequencing analysis to identify aptamers. Using this method, we generated multiple RNA aptamers targeting α-thrombin and TGFβ1 proteins, independently. This method potentially generates thousands of sequences as aptamer candidates, which may enable us to predict a common average sequence or structural property of these aptamers that is different from input RNA.
适配体是对靶分子具有特异性结合亲和力的寡核苷酸配体。一般来说,RNA适配体是从具有随机序列的RNA文库中通过称为SELEX的技术筛选出来的,在该技术中,与靶标结合的RNA分子被反复分离并指数扩增。尽管有几个优点,但在稀有靶标结合RNA分子的迭代扩增过程中,SELEX常常产生不确定的结果。在此,我们开发了一种用于生成RNA适配体的非重复、无引物且无需固定靶标的分离方法,该方法对实验噪声具有鲁棒性。独特的是,该方法专注于通过核糖核酸酶消化从RNA文库中寻找并去除非适配体序列,留下与靶标结合的适配体分子,因此与适配体类型无关。剩余未消化的RNA序列数量极少,必须与大量已知序列混合以进行进一步操作,然后通过限制性消化去除该序列,接着进行高通量测序分析以鉴定适配体。使用这种方法,我们独立地生成了多种靶向α-凝血酶和转化生长因子β1蛋白的RNA适配体。这种方法有可能产生数千个作为适配体候选物的序列,这可能使我们能够预测这些适配体不同于输入RNA的共同平均序列或结构特性。