4.7 Article

Generation of Internal-Image Functional Aptamers of Okadaic Acid via Magnetic-Bead SELEX

期刊

MARINE DRUGS
卷 13, 期 12, 页码 7433-7445

出版社

MDPI AG
DOI: 10.3390/md13127066

关键词

okadaic acid; SELEX; internal-image function

资金

  1. National Nature Science Foundation of China (NSFC) [31071539]

向作者/读者索取更多资源

Okadaic acid ( OA) is produced by Dinophysis and Prorocentrum dinoflagellates and primarily accumulates in bivalves, and this toxin has harmful effects on consumers and operators. In this work, we first report the use of aptamers as novel non- toxic probes capable of binding to a monoclonal antibody against OA ( OA- mAb). Aptamers that mimic the OA toxin with high affinity and selectivity were generated by the magnetic bead- assisted systematic evolution of ligands by exponential enrichment ( SELEX) strategy. After 12 selection rounds, cloning, sequencing and enzyme- linked immunosorbent assay ( ELISA) analysis, four candidate aptamers ( O24, O31, O39, O40) were selected that showed high affinity and specificity for OA- mAb. The affinity constants of O24, O31, O39 and O40 were 8.3 X 108 M - 1, 1.47 X 109 M - 1, 1.23 X 109 M - 1 and 1.05 X 109 M - 1, respectively. Indirect competitive ELISA was employed to determine the internal- image function of the aptamers. The results reveal that O31 has a similar competitive function as free OA toxin, whereas the other three aptamers did not bear the necessary internal- image function. Based on the derivation of the curvilinear equation for OA/ O31, the equation that defined the relationship between the OA toxin content and O31 was Y = 2.185X - 1.78. The IC50 of O31 was 3.39 ng center dot mL - 1, which was close to the value predicted by the OA ELISA ( IC50 = 4.4 ng - mL - 1); the IC10 was 0.33 ng center dot mL - 1. The above data provides strong evidence that internal- image functional aptamers could be applicable as novel probes in a non- toxic assay.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据