Advances in SELEX and application of aptamers in the central nervous system

SELEX (Systematic Evolution of Ligands by Exponential Enrichment) is a screening technique that involves the progressive selection of highly specific ligands by repeated rounds of partition and amplification from a large combinatorial nucleic acid library. The products of the selection are called aptamers, which are short single stranded DNA or RNA molecules, binding with high affinity, attributed to their specific three-dimensional shapes, to a large variety of targets, ranging from small molecules to complex mixtures. Various improvement of the original SELEX method described in 1990 have been obtained recently, such as capillary electrophoresis SELEX, Toggle-SELEX, Tailored-SELEX, Photo-SELEX, and others. These new variants greatly shorten time of selection and improve aptamer affinity and specificity. Such aptamers have great potential as detecting and/or diagnostic reagents. Furthermore, some aptamers specifically inhibit biological functions of targeted proteins, and are considered as potent therapeutic lead structures evaluated in preclinical disease models. Recently, one aptamer has been approved by Food and Drug Administration of US for treating age-related macular degeneration. This review presents recent advances in the field of SELEX with special emphasis on applications of aptamers as analytical, diagnostic and therapeutic tools in the central nervous system.     

综述与专论: 核酸适配体筛选与亲和力评价技术主要研究方向、进展与挑战

核酸适配体是一类具有特异性分子识别能力的单链DNA或者RNA分子,通过指数富集的配体系统进化技术（SELEX）筛选得到。核酸适配体相比抗体具有热稳定性高、便于化学合成与修饰、免疫原性低等优点,在生物分析、生物医学、生物技术等众多领域引起广泛关注。高质量的核酸适配体是应用的基础,然而目前能够满足实际应用的核酸适配体数量还非常有限。如何获得高亲和力、高特异性、高体内稳定性的核酸适配体是核酸适配体领域的技术瓶颈。本文首先简单介绍了SELEX技术的基本原理和核酸库的设计、筛选过程监控、次级文库制备、测序和候选适配体筛选等关键步骤。接着归纳总结了30多年来核酸适配体筛选技术的6个主要研究方向、研究进展和局限性。这6个主要研究方向分别是提高适配体特异性的筛选方法、提高适配体稳定性（抗核酸酶降解能力）的筛选方法、快速筛选方法、复杂靶标适配体筛选方法、小分子靶标适配体筛选方法、提高适配体亲和力的筛选方法。其中快速筛选技术是长期以来持续关注的研究方向,几乎所有物理分离手段都已用于提高SELEX的筛选效率。最近,高效化学反应与SELEX技术的结合为核酸适配体的快速筛选提供了新的策略。本文随后对适合小分子靶标核酸适配体筛选的3类方法进展和存在的问题进行了重点评述。这3类方法分别是基于靶标固定的筛选技术、基于文库固定的筛选技术（捕获-SELEX,Capture-SELEX）和均相筛选技术（氧化石墨烯-SELEX,GO-SELEX）。基于靶标固定的筛选技术尽管存在空间位阻等众多问题,由于其操作的简单性,目前依然应用广泛。近年来Capture-SELEX应用广泛。结合36种靶标适配体的筛选实验条件（文库设计、正筛靶标浓度、负筛靶标的选择和浓度）和所获得的适配体的亲和力（K_D,解离常数,dissociation constant）和特异性,对Capture-SELEX的实验条件与适配体性能的关系进行了讨论。统计数据表明,降低正筛靶标浓度有利于提高适配体的亲和力,但不是必要条件。负筛选是目前提高适配体特异性的主要技术手段,但适配体的特异性还不能满足实际需求。负筛选靶标及其浓度的选择差异很大,而且36种靶标中有20种靶标的适配体筛选没有进行负筛选。如何提高核酸适配体的特异性是目前小分子靶标核酸适配体所面临的难题,急需寻找新的策略。本文还列表归纳了近三年利用GO-SELEX进行的13种小分子靶标的实验条件和所获得的适配体的K_D和特异性。统计数据表明,GO-SELEX比Capture-SELEX所需要的筛选轮数少,两种方法所获得的适配体的亲和力多在纳摩尔每升水平。Capture-SELEX相对较低的筛选效率应该主要由于文库的自解离问题。核酸适配体的亲和力评价是候选核酸适配体结构与性能评价的重要组成部分。常用的核酸适配体亲和力评价技术包括基于分离、基于固定、均相体系三大类十多种方法。假阳性和假阴性是各种评价技术都有可能存在的问题。本文以纳米金比色法和等温热滴定技术为例评述技术进展,讨论导致不同亲和力评价技术结果不一致性问题的根本原因。本文最后对核酸适配体筛选技术、亲和力评价技术和技术的标准化的未来发展趋势进行了展望。     

Characterisation of aptamer–target interactions by branched selection and high-throughput sequencing of SELEX pools

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 10¹⁶ 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.     

The selection of aptamers specific for membrane molecular targets

A growing number of RNA aptamers have been selected experimentally using the SELEX combinatorial approach, and these aptamers have several advantages over monoclonal protein antibodies or peptides with respect to their applications in medicine and nanobiotechnology. Relatively few successful selections have been reported for membrane molecular targets, in contrast to the situation with non-membrane molecular targets. This review compares the procedures and techniques used in selections against membrane proteins and membrane lipids. In the case of membrane proteins, the selections were performed against soluble protein fragments, detergent-membrane protein mixed micelles, whole cells, vesicles derived from cellular membranes, and enveloped viruses. Liposomes were used as an experimental system for the selection of aptamers against membrane lipids. RNA structure-dependent aptamer binding for rafts in lipid vesicles was reported. Based on the selected aptamers against DOPC and the amino acid tryptophan, a specific passive membrane transporter composed of RNA was constructed. The determination of the selectivity of aptamers appears to be a crucial step in a selection, but has rarely been fully investigated. The selections, which use whole cells or vesicles derived from membranes, can yield aptamers not only against proteins but also against membrane lipids.     

Deconvolution of a complex target using DNA aptamers

In vitro selection of single-stranded nucleic acid aptamers from large random sequence libraries is now a straightforward process particularly when screening with a single target molecule. These libraries contain considerable shape diversity as evident by the successful isolation of aptamers that bind with high affinity and specificity to chemically diverse targets. We propose that aptamer libraries contain sufficient shape diversity to allow deconvolution of a complex mixture of targets. Using unfractionated human plasma as our experimental model, we aim to develop methods to obtain aptamers against as many proteins as possible. To begin, it is critical that we understand how aptamer populations change with increasing rounds of in vitro selection when using complex mixtures. Our results show that sequence representation in the selected population changes dramatically with increasing rounds of selection. Certain aptamer families were apparent after only three selection rounds. Two additional cycles saw a decline in the relative abundance of these families and the emergence of yet another family that accounted for more than 60% of sequences in the pool. To overcome this population convergence, an aptamer-based target depletion method was developed, and the library screen was repeated. The previous dominant family effectively disappeared from the selected populations but was replaced by other aptamer families. Insights gained from these initial experiments are now being applied in the creation of second generation plasma protein screens and also to the analysis of other complex biological targets.     

分子模拟指导核酸适配体文库设计

核酸适配体是利用配体指数富集的系统进化技术（SELEX）从随机文库中筛选获得一段有功能的单链寡核苷酸。但因筛选过程中的文库选择、洗涤次数、分离效率、缓冲液离子含量和pH值等多种因素的影响,迄今所报道的亲和力与特异性都很高的核酸适配体为数不多。初始文库是核酸适配体筛选的源头,作为SELEX技术的根本,其设计是否合理直接影响到筛选的成败和效率。分子模拟能以核酸适配体文库为主体,计算机为主要工具,发展多种结构模拟与分析工具,辅助核酸适配体文库的合理设计。本文综述了现阶段利用分子模拟进行核酸适配体初始文库设计的相关方法,希望能为从源头上提高核酸适配体筛选的成功率提供线索。     

Assays for cytokines using aptamers

Aptamers are short nucleic acid sequences that are used as ligands to bind their targets with high affinity. They are generated via the combinatorial chemistry procedure systematic evolution of ligands by exponential enrichment (SELEX). Aptamers have shown much promise towards detection of a variety of protein targets, including cytokines. Specifically, for the determination of cytokines and growth factors, several assays making use of aptamers have been developed, including aptamer-based enzyme-linked immunosorbent assays, antibody-linked oligonucleotide assay, fluorescence (anisotropy and resonance energy transfer) assays, and proximity ligation assays. In this article, the concept of aptamer selection using SELEX and the assay formats using aptamers for the detection of cytokines are discussed.     

Emulsion PCR: a high efficient way of PCR amplification of random DNA libraries in aptamer selection

Aptamers are short RNA or DNA oligonucleotides which can bind with different targets. Typically, they are selected from a large number of random DNA sequence libraries. The main strategy to obtain aptamers is systematic evolution of ligands by exponential enrichment (SELEX). Low efficiency is one of the limitations for conventional PCR amplification of random DNA sequence library in aptamer selection because of relative low products and high by-products formation efficiency. Here, we developed emulsion PCR for aptamer selection. With this method, the by-products formation decreased tremendously to an undetectable level, while the products formation increased significantly. Our results indicated that by-products in conventional PCR amplification were from primer-product and product-product hybridization. In emulsion PCR, we can completely avoid the product-product hybridization and avoid the most of primer-product hybridization if the conditions were optimized. In addition, it also showed that the molecule ratio of template to compartment was crucial to by-product formation efficiency in emulsion PCR amplification. Furthermore, the concentration of the Taq DNA polymerase in the emulsion PCR mixture had a significant impact on product formation efficiency. So, the results of our study indicated that emulsion PCR could improve the efficiency of SELEX.     

适配子筛选技术进展

适配子的筛选技术近年来不断改良与发展。结合核酸与游离核酸的分离技术的改良,使适配子筛选效率得到提高;无引物结合部位适配子的筛选技术的建立和短寡核苷酸文库的应用,使适配子的应用范围更加广泛;适配子筛选技术在功能上的拓展,满足了更多的研究要求。一系列新方法的建立和应用,使适配子在基础研究和临床应用方面更具潜在价值。     

Selection of a DNA aptamer that binds 8-OHdG using GMP-agarose

DNA aptamers, which bind specific molecule, such as 8-OHdG, with high affinity were investigated using an in vitro selection strategy called systematic evolution of ligands by exponential enrichment (SELEX). However, 8-OHdG was difficult to immobilize on a carrier for SELEX. Therefore, a DNA aptamer binding to 8-OHdG was selected using GMP-agarose as an analogue from a library of about 4⁶⁰ random ssDNA sources. As a result, three aptamer candidates were selected. Among the selected DNA aptamers, the No. 22 DNA aptamer exhibited a high affinity for 8-OHdG. The dissociation constant, K_D, of No. 22 DNA aptamer was on the order of 0.1 μmol/L. This result suggests that using an analogue will be a useful new SELEX method for obtaining various aptamers that are difficult to immobilize on a matrix.     

以完整细胞为靶子的SELEX技术研究进展

指数富集的配体系统进化（SELEX）是一种从大容量寡核苷酸文库中经反复分离扩增步骤得到针对靶分子的高亲和力、高特异性核酸配基——适配体的体外筛选技术。自1990年以来,SELEX技术得到了迅猛发展,筛选的靶分子已由最初的单一物质发展到完整的动物细胞、细菌病原体等复杂靶子。以完整细胞为靶子的SELEX技术有其独特的技术优势,可以在筛选细胞上特定靶分子未知的情况下进行筛选,为药物筛选、临床诊断、疾病治疗和基础医学研究等带来了新的思路和方法。随着对适配体研究的深入,尤其是纳米材料与其相结合应用,该技术将在肿瘤诊断治疗及微生物检测领域具有更为广泛的应用前景。     

金黄色葡萄球菌外毒素B特异性适体的筛选及其应用

目的:利用指数富集配基的系统进化(SELEX)技术,筛选能与金黄色葡萄球菌外毒素B(SEB)特异、高亲和力结合的单链DNA(ssDNA)适体,并将该适体应用于患者血清标本的检测。方法:从体外合成的96核苷酸随机ss-DNA文库中,以羧基磁珠作为筛选介质,经逐步PCR扩增、筛选,获得针对SEB的高亲和力、高特异性适体;利用荧光素标记适体测定筛选过程中各轮结合力;利用酶连接适体方法检测适体特异性和结合力。结果:经过13轮筛选,ssDNA文库与SEB的结合百分率从1.1%提高到39.8%,增加了36倍;获得的ssDNA适体(A11)针对SEB的特异性强,与金黄色葡萄球菌表面蛋白A(SPA)结合低,并能初步识别患者血清。结论:利用SELEX技术筛选获得了特异结合SEB的高亲和力的ssDNA适体,为金黄色葡萄球菌的临床诊断与治疗奠定了基础。     

Expanding the application potential of DNA aptamers by their functionalization

Side-by-side development of two competing technologies for obtaining affinity antibody-based and aptamer-based molecules opens new horizons for the creation of diagnostic and therapeutic agents of extremely high efficiency. Benefits of aptamers, such as relatively small size and selection simplicity, have been jeopardized for a long time by their intrinsic downsides, i.e., obscure process of obtaining aptamers against certain targets because of a low diversity of functional groups (purine and pyrimidine bases) in DNA and RNA aptamers. Another side effect of the aptamer technique inherent to the traditional SELEX method is unspecific enrichment with aptamers with high affinity to off-target reaction components. Today, due to current progress in the development of new technology methods and chemical coupling reactions, the modern aptamer technology helps to avoid its disadvantages and become capable of being the source of new diagnostic and therapeutic tools, which are properly unique in their efficiency. The review focuses on modern methods of increasing efficiency of the aptamer selection and on synthetic nucleotide modifications, which make it possible to prepare high-affinity aptamers against traditionally ‘hard’ targets.     

Identifying high-affinity aptamer ligands with defined cross-reactivity using high-throughput guided systematic evolution of ligands by exponential enrichment

Oligonucleotide aptamers represent a novel platform for creating ligands with desired specificity, and they offer many potentially significant advantages over monoclonal antibodies in terms of feasibility, cost, and clinical applicability. However, the isolation of high-affinity aptamer ligands from random oligonucleotide pools has been challenging. Although high-throughput sequencing (HTS) promises to significantly facilitate systematic evolution of ligands by exponential enrichment (SELEX) analysis, the enormous datasets generated in the process pose new challenges for identifying those rare, high-affinity aptamers present in a given pool. We show that emulsion PCR preserves library diversity, preventing the loss of rare high-affinity aptamers that are difficult to amplify. We also demonstrate the importance of using reference targets to eliminate binding candidates with reduced specificity. Using a combination of bioinformatics and functional analyses, we show that the rate of amplification is more predictive than prevalence with respect to binding affinity and that the mutational landscape within a cluster of related aptamers can guide the identification of high-affinity aptamer ligands. Finally, we demonstrate the power of this selection process for identifying cross-species aptamers that can bind human receptors and cross-react with their murine orthologs.     

Selection of RNA aptamers against recombinant transforming growth factor-beta type III receptor displayed on cell surface

In most cases, anti-protein aptamers are selected by systematic evolution of ligands by exponential enrichment (SELEX) using purified recombinant protein targets. Cell surface proteins, however, are not easy targets for SELEX due to the difficulties associated with their purification. Here, we developed a novel SELEX procedure (referred to as TECS-SELEX) in which cell-surface displayed recombinant protein is directly used as the selection target. Using this method, we isolated RNA aptamers against transforming growth factor-beta type III receptor expressed on Chinese hamster ovary (CHO) cells. One of the RNA aptamers has a dissociation constant in the 1 nM range and competed with transforming growth factor-beta to bind to the cell surface receptor in vitro.     

A novel artificial intelligence-based approach for identification of deoxynucleotide aptamers

The selection of a DNA aptamer through the Systematic Evolution of Ligands by EXponential enrichment (SELEX) method involves multiple binding steps, in which a target and a library of randomized DNA sequences are mixed for selection of a single, nucleotide-specific molecule. Usually, 10 to 20 steps are required for SELEX to be completed. Throughout this process it is necessary to discriminate between true DNA aptamers and unspecified DNA-binding sequences. Thus, a novel machine learning-based approach was developed to support and simplify the early steps of the SELEX process, to help discriminate binding between DNA aptamers from those unspecified targets of DNA-binding sequences. An Artificial Intelligence (AI) approach to identify aptamers were implemented based on Natural Language Processing (NLP) and Machine Learning (ML). NLP method (CountVectorizer) was used to extract information from the nucleotide sequences. Four ML algorithms (Logistic Regression, Decision Tree, Gaussian Naïve Bayes, Support Vector Machines) were trained using data from the NLP method along with sequence information. The best performing model was Support Vector Machines because it had the best ability to discriminate between positive and negative classes. In our model, an Accuracy (A) of 0.995, the fraction of samples that the model correctly classified, and an Area Under the Receiving Operating Curve (AUROC) of 0.998, the degree by which a model is capable of distinguishing between classes, were observed. The developed AI approach is useful to identify potential DNA aptamers to reduce the amount of rounds in a SELEX selection. This new approach could be applied in the design of DNA libraries and result in a more efficient and faster process for DNA aptamers to be chosen during SELEX.     

Amounts of selected coagulation factors in pre- and post-mortem follicular fluid are similar and do not correlate with molecular mass

This study was designed to evaluate the amounts of coagulation factors and to determine whether the protein profile in pre-ovulatory ovarian follicular fluid aspirated from ovaries collected from mares at slaughter are representative of that in follicular fluid collected from live animals. The proteins evaluated included, (i) albumin, ceruloplasmin and fibronectin, (ii) the procoagulant plasma proteins, Factor V (FV), Factor VII (FVII), Factor X (FX) and prothrombin, and (iii) the anticoagulant plasma proteins, antithrombin and alpha2-macroglobulin. The amounts of the individual proteins were similar in both types of follicular fluid. There was no correlation between the activity of FV, FVII, FX or prothrombin in follicular fluid and their molecular size although a correlation was found for the other proteins. These results suggest that the procoagulant proteins in follicular fluid are not likely derived from plasma. The total protein content of follicular fluid samples collected from both sources was similar and the results determined with the Biuret, Lowry and Biorad methods were also not significantly different (P>0.05).     

A sol-gel-based microfluidics system enhances the efficiency of RNA aptamer selection

RNA and DNA aptamers that bind to target molecules with high specificity and affinity have been a focus of diagnostics and therapeutic research. These aptamers are obtained by SELEX often requiring many rounds of selection and amplification. Recently, we have shown the efficient binding and elution of RNA aptamers against target proteins using a microfluidic chip that incorporates 5 sol-gel binding droplets within which specific target proteins are imbedded. Here, we demonstrate that our microfluidic chip in a SELEX experiment greatly improved selection efficiency of RNA aptamers to TATA-binding protein, reducing the number of selection cycles needed to produce high affinity aptamers by about 80%. Many aptamers were identical or homologous to those isolated previously by conventional filter-binding SELEX. The microfluidic chip SELEX is readily scalable using a sol-gel microarray-based target multiplexing. Additionally, we show that sol-gel embedded protein arrays can be used as a high-throughput assay for quantifying binding affinities of aptamers.     

Combining SELEX and the yeast three-hybrid system for in vivo selection and classification of RNA aptamers

Aptamers are small nucleic acid ligands that bind to their targets with specificity and high affinity. They are generated by a combinatorial technology, known as SELEX. This in vitro approach uses iterative cycles of enrichment and amplification to select binders from nucleic acid libraries of high complexity. Here we combine SELEX with the yeast three-hybrid system in order to select for RNA aptamers with in vivo binding activity. As a target molecule, we chose the RNA recognition motif-containing RNA-binding protein Rrm4 from the corn pathogen Ustilago maydis. Rrm4 is an ELAV-like protein containing three N-terminal RNA recognition motifs (RRMs). It has been implicated in microtubule-dependent RNA transport during pathogenic development. After 11 SELEX cycles, four aptamer classes were identified. These sequences were further screened for their in vivo binding activity applying the yeast three-hybrid system. Of the initial aptamer classes only members of two classes were capable of binding in vivo. Testing representatives of both classes against Rrm4 variants mutated in one of the three RRM domains revealed that these aptamers interacted with the third RRM. Thus, the yeast three-hybrid system is a useful extension to the SELEX protocol for the identification and characterization of aptamers with in vivo binding activity.