Dupont Daniel M, Larsen Niels, Jensen Jan K, Andreasen Peter A, Kjems Jørgen
Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus C, Denmark Danish-Chinese Centre for Proteases and Cancer, Aarhus University, 8000 Aarhus C, Denmark
iNANO Interdisciplinary Nanoscience Center, Aarhus University, 8000 Aarhus C, Denmark.
Nucleic Acids Res. 2015 Dec 2;43(21):e139. doi: 10.1093/nar/gkv700. Epub 2015 Jul 10.
Nucleic acid aptamer selection by systematic evolution of ligands by exponential enrichment (SELEX) has shown great promise for use in the development of research tools, therapeutics and diagnostics. Typically, aptamers are identified from libraries containing up to 10(16) different RNA or DNA sequences by 5-10 rounds of affinity selection towards a target of interest. Such library screenings can result in complex pools of many target-binding aptamers. New high-throughput sequencing techniques may potentially revolutionise aptamer selection by allowing quantitative assessment of the dynamic changes in the pool composition during the SELEX process and by facilitating large-scale post-SELEX characterisation. In the present study, we demonstrate how high-throughput sequencing of SELEX pools, before and after a single round of branched selection for binding to different target variants, can provide detailed information about aptamer binding sites, preferences for specific target conformations, and functional effects of the aptamers. The procedure was applied on a diverse pool of 2'-fluoropyrimidine-modified RNA enriched for aptamers specific for the serpin plasminogen activator inhibitor-1 (PAI-1) through five rounds of standard selection. The results demonstrate that it is possible to perform large-scale detailed characterisation of aptamer sequences directly in the complex pools obtained from library selection methods, thus without the need to produce individual aptamers.
通过指数富集的配体系统进化(SELEX)进行核酸适配体筛选,在开发研究工具、治疗药物和诊断方法方面已显示出巨大潜力。通常,通过对感兴趣的靶标进行5至10轮亲和选择,从包含多达10¹⁶种不同RNA或DNA序列的文库中鉴定适配体。这种文库筛选可能会产生许多靶标结合适配体的复杂混合物。新的高通量测序技术可能会彻底改变适配体的筛选方式,它能够对SELEX过程中混合物组成的动态变化进行定量评估,并有助于大规模的SELEX后表征。在本研究中,我们展示了在一轮针对不同靶标变体的分支选择前后,对SELEX混合物进行高通量测序,如何能够提供有关适配体结合位点、对特定靶标构象的偏好以及适配体功能效应的详细信息。该程序应用于通过五轮标准选择富集了针对丝氨酸蛋白酶抑制剂纤溶酶原激活物抑制剂-1(PAI-1)的适配体的2'-氟嘧啶修饰RNA的多样化混合物。结果表明,有可能直接在从文库选择方法获得的复杂混合物中对适配体序列进行大规模详细表征,从而无需产生单个适配体。