Estimation of SELEX pool size by measurement of DNA renaturation rates

Success probability of high-affinity DNA aptamer generation by genetic alphabet expansion

Nucleic acid aptamers as antibody alternatives bind specifically to target molecules. These aptamers are generated by isolating candidates from libraries with random sequence fragments, through an evolutionary engineering system. We recently reported a high-affinity DNA aptamer generation method that introduces unnatural bases (UBs) as a fifth letter into the library, by genetic alphabet expansion. By incorporating hydrophobic UBs, the affinities of DNA aptamers to target proteins are increased over 100-fold, as compared with those of conventional aptamers with only the natural four letters. However, there is still plenty of room for improvement of the methods for routinely generating high-affinity UB-containing DNA (UB-DNA) aptamers. The success probabilities of the high-affinity aptamer generation depend on the existence of the aptamer candidate sequences in the initial library. We estimated the success probabilities by analysing several UB-DNA aptamers that we generated, as examples. In addition, we investigated the possible improvement of conventional aptamer affinities by introducing one UB at specific positions. Our data revealed that UB-DNA aptamers adopt specific tertiary structures, in which many bases including UBs interact with target proteins for high affinity, suggesting the importance of the UB-DNA library design. This article is part of the theme issue 'Reactivity and mechanism in chemical and synthetic biology'.

DNA aptamers against bacterial cells can be efficiently selected by a SELEX process using state-of-the art qPCR and ultra-deep sequencing

DNA aptamers generated by cell-SELEX against bacterial cells have gained increased interest as novel and cost-effective affinity reagents for cell labelling, imaging and biosensing. Here we describe the selection and identification of DNA aptamers for bacterial cells using a combined approach based on cell-SELEX, state-of-the-art applications of quantitative real-time PCR (qPCR), next-generation sequencing (NGS) and bioinformatic data analysis. This approach is demonstrated on Enterococcus faecalis (E. faecalis), which served as target in eleven rounds of cell-SELEX with multiple subtractive counter-selections against non-target species. During the selection, we applied qPCR-based analyses to evaluate the ssDNA pool size and remelting curve analysis of qPCR amplicons to monitor changes in pool diversity and sequence enrichment. Based on NGS-derived data, we identified 16 aptamer candidates. Among these, aptamer EF508 exhibited high binding affinity to E. faecalis cells (K_D-value: 37 nM) and successfully discriminated E. faecalis from 20 different Enterococcus and non-Enterococcus spp. Our results demonstrate that this combined approach enabled the rapid and efficient identification of an aptamer with both high affinity and high specificity. Furthermore, the applied monitoring and assessment techniques provide insight into the selection process and can be highly useful to study and improve experimental cell-SELEX designs to increase selection efficiency.

Therapeutic Interventions into Innate Immune Diseases by Means of Aptamers

The immune system plays a crucial role in the body's defense system against various pathogens, such as bacteria, viruses, and parasites, as well as recognizes non-self- and self-molecules. The innate immune system is composed of special receptors known as pattern recognition receptors, which play a crucial role in the identification of pathogen-associated molecular patterns from diverse microorganisms. Any disequilibrium in the activation of a particular pattern recognition receptor leads to various inflammatory, autoimmune, or immunodeficiency diseases. Aptamers are short single-stranded deoxyribonucleic acid or ribonucleic acid molecules, also termed "chemical antibodies," which have tremendous specificity and affinity for their target molecules. Their features, such as stability, low immunogenicity, ease of manufacturing, and facile screening against a target, make them preferable as therapeutics. Immune-system-targeting aptamers have a great potential as a targeted therapeutic strategy against immune diseases. This review summarizes components of the innate immune system, aptamer production, pharmacokinetic characteristics of aptamers, and aptamers related to innate-immune-system diseases.

Evaluation of different direct and indirect SELEX monitoring methods and implementation of melt-curve analysis for rapid discrimination of variant aptamer sequences

Systematic Evolution of Ligands by Exponential enrichment (SELEX) is an iterative method for in vitro selection of aptamers from a random synthetic oligonucleotide library. Successful retrieving of aptamers by SELEX relies on optimization of various steps including target immobilization, aptamer partitioning, amplification, and ssDNA generation, which all require spending considerable effort and cost. Furthermore, due to the random nature of the initial library, SELEX may redirect toward the selection of low-affinity aptamers that are over-represented in the ssDNA population due to PCR bias. Thus, precise monitoring of the SELEX process is crucial to ensure the selection of target-specific aptamers. In the present study, we investigated the reliability and simplicity of different direct and indirect monitoring methods including UV-Vis spectroscopy, real-time PCR quantification and melt-curve analysis, electrophoretic mobility shift assay (EMSA) and enzyme-linked oligonucleotide assay (ELONA) for selection of DNA aptamers for a protein target. All the examined methods were capable of illustrating the gradual evolution of specific aptamers by the progression of SELEX and showed almost similar results regarding the identification of the enriched round of selection. Moreover, we describe the use of melt-curve analysis in the colony real-time PCR method as a simple, robust, and repeatable tool for pre-sequencing separation of distinct aptamer clones.

[Evaluation of the diversity of random DNA-libraries by the shape of amplification curves for estimation of the efficiency of aptamer selection]

Using random (combinatorial) DNA-libraries with various degrees of diversity, it was shown that their amplification by polymerase chain reaction in real time resulted in appearance of a maximum on amplification curves. The relative decrease of fluorescence after passing the maximum was directly proportional to the logarithm of the number of oligonucleotide sequence variants in the random DNA-library provided that this number was within in the interval from 1 to 104 and remained practically unaltered when the number of variants was in the interval from 105 to 108. The obtained dependence was used in the course of SELEX to evaluate changes in the diversity of random DNA-libraries from round to round in selection of DNA-aptamers to the recombinant SMAD4 protein. As a result, oligonucleotides containing sequences able to form a site of SMAD4-DNA interactions known as SBE (SMAD-binding element) have been selected thus indicating that the SMAD4-SBE interaction dominates the aptamer selection.

Inside the Black Box: What Makes SELEX Better?

Aptamers are small oligonucleotides that are capable of binding specifically to a target, with impressive potential for analysis, diagnostics, and therapeutics applications. Aptamers are isolated from large nucleic acid combinatorial libraries using an iterative selection process called SELEX (Systematic Evolution of Ligands by EXponential enrichment). Since being implemented 30 years ago, the SELEX protocol has undergone many modifications and improvements, but it remains a laborious, time-consuming, and costly method, and the results are not always successful. Each step in the aptamer selection protocol can influence its results. This review discusses key technical points of the SELEX procedure and their influence on the outcome of aptamer selection.

Development of α4 integrin DNA aptamer as a potential therapeutic tool for multiple sclerosis

One of the most important molecules for multiple sclerosis pathogenesis is α4 integrin, which is responsible for autoreactive leukocytes migration into the brain. The monoclonal antibody, natalizumab, was introduced to market for blocking the extravasation of autoreactive leukocytes via inhibition of α4 integrin. However, the disadvantages of antibodies provided a suitable background for other agents to be replaced with antibodies. Considering the profound advantages of aptamers over antibodies, aptamer isolation against α4 integrin was intended in the current study. The α4 integrin-specific aptamers were selected using cell-systematic evolution of ligands by exponential enrichment (SELEX) method with human embryonic kidney (HEK)-293T overexpressing α4 integrin and HEK-293T as target and control cells, respectively. Evaluation of selected aptamer was performed through flow cytometric analysis. The selected clones were then sequenced and analyzed for any possible secondary structure and affinity. The results of this study led to isolation of 13 different single-stranded DNA clones in 11 rounds of selection which were categorized to three clusters based on common structural motifs and the equilibrium dissociation constant (K _d ) of the most stable structure was calculated. The evaluation of SELEX progress showed growth in aptamer affinity with increasing of the number of cycles. Taken together, the findings of this study demonstrated the isolation of α4-specific single-stranded DNA aptamers with suitable affinity for ligand, which can further be replaced with natalizumab.

Developing a combined strategy for monitoring the progress of aptamer selection

The development of a simple, low-cost, time-saving and universally applicable method to monitor the progression of aptamer selection is particularly challenging. Herein, a combined strategy dependent on quantitative polymerase chain reaction amplification curve (AC) and melting curve analysis (MCA) is developed to monitor the convergence of the aptamer species during selection progress. As a parallel and complementary method to affinity tests and binding analyses, the AC-MCA method can be used to achieve the DNA complexity assay when affinity is undetectable. It is independent of the target properties and SELEX methods. Therefore, it has been demonstrated as a universal monitoring tool in different SELEX methods towards different targets (small molecules, proteins, bacteria and cancer cells). The AC-MCA method will facilitate current new aptamer discovery and aptamer-based wide application.

reMelting curve analysis as a tool for enrichment monitoring in the SELEX process

Current aptamer selection procedures enable limited control and transparency on how the DNA selection pool is evolving. Affinity tests and binding analyses are not always informative. Here we show that real-time PCR provides a valuable tool for the follow-up of aptamer selection. Limited time, work and amount of amplified ssDNA make this an interesting instrument to set-up a SELEX design and monitor the enrichment of oligonucleotides. reMelting Curve Analysis (rMCA) after reannealing under stringent conditions provides information about enrichment, compared to a random library. Monitoring the SELEX process and optimising conditions by means of the proposed methods can increase the selection efficiency in a controlled way. rMCA is applied in enrichment simulations and three different selection procedures. Our results imply that rMCA can be used for different SELEX designs and different targets. SELEX pool diversity analysis by rMCA has been proven to be a useful, reproducible tool to detect and evaluate enrichment of specific binding aptamers while the selection procedure is being performed.

Aptamer against mannose-capped lipoarabinomannan inhibits virulent Mycobacterium tuberculosis infection in mice and rhesus monkeys

The major surface lipoglycan of Mycobacterium tuberculosis (M. tb), mannose-capped lipoarabinomannan (ManLAM), is an immunosuppressive epitope of M. tb. We used systematic evolution of ligands by exponential enrichment (SELEX) to generate an aptamer (ZXL1) that specifically bound to ManLAM from the virulent M. tb strain H37Rv. Aptamer ZXL1 had the highest binding affinity, with an equilibrium dissociation constant (Kd) of 436.3 ± 37.84 nmol/l, and competed with the mannose receptor for binding to ManLAM and M. tb H37Rv. ZXL1 significantly inhibited the ManLAM-induced immunosuppression of CD11c(+) dendritic cells (DCs) and enhanced the M. tb antigen-presenting activity of DCs for naive CD4(+) Th1 cell activation. More importantly, we demonstrated that injection of aptamer ZXL1 significantly reduced the progression of M. tb H37Rv infections and bacterial loads in lungs of mice and rhesus monkeys. These results suggest that the aptamer ZXL1 is a new potential antimycobacterial agent and tuberculosis vaccine immune adjuvant.

Optimization of SELEX: comparison of different methods for monitoring the progress of in vitro selection of aptamers

Oligonucleotide aptamers are selected from libraries typically comprising up to 10(15) different sequences by an iterative process of binding, separation, amplification and purification, called SELEX. During this process, the diversity of the oligonucleotide pool decreases until, presumably, only sequences with highest binding affinities towards chosen targets remain. This selection technique is time-consuming, labor-intensive and expensive. Though well posed in principles, the SELEX procedure is noise sensitive, due to amplification of unspecific-binding sequences, and it is not surprising that aptamer selection is often not successful in practice. In view of that, a follow-up of the progress of selection during its course with simple yet reliable methods is necessary. In this paper, we describe five independent assays to estimate the sequence complexity of SELEX pools including qualitative restriction fragment length polymorphism analysis, melting curve analysis, quantitative fluorescence intensity measurements of bound ssDNA, real time PCR quantification and pool dissociation constant analysis during the progress of aptamer selection against streptavidin. Properties and features of each method are discussed and compared. Pool dissociation constant analysis and sequencing serve as reference methods.

Band smearing of PCR amplified bacterial 16S rRNA genes: dependence on initial PCR target diversity

Band smearing in agarose gels of PCR amplified bacterial 16S rRNA genes is understood to comprise amplicons of varying sizes arising from PCR errors, and requires elimination. We consider that with amplified heterogeneous DNA, delayed electro-migration is caused not by PCR errors but by dsDNA structures that arise from imperfect strand pairing. The extent of band smearing was found to be proportional to the sequence heterogeneity in 16S rRNA variable regions. Denaturing alkaline gels showed that all amplified DNA was of the correct size. A novel bioinformatic approach was used to reveal that band smearing occurred due to imperfectly paired strands of the amplified DNA. Since the smear is a structural fraction of the correct size PCR product, it carries important information on richness and diversity of the target DNA. For accurate analysis, the origin of the smear must first be identified before it is eliminated by examining the amplified DNA in denaturing alkaline gels.

Diversity visualization by endonuclease: a rapid assay to monitor diverse nucleotide libraries

Many experiments require a fast and cost-effective method to monitor nucleic acid sequence diversity. Here we describe a method called diversity visualization by endonuclease (DiVE) that allows rapid visualization of sequence diversity of polymerase chain reaction (PCR) products based on DNA hybridization kinetics coupled with the activity of a single-strand specific nuclease. The assay involves only a limited number of steps and can be performed in less than 4h, including the initial PCR. After PCR, the homoduplex double-stranded DNA (dsDNA) is denatured and reannealed under stringent conditions. During the reannealing process, incubation with S1 nuclease removes single-stranded loops of formed heteroduplexes and the resulting digest is visualized on agarose gel. The sequence diversity is inversely proportional to the band intensities of S1 nuclease surviving dsDNA molecules of expected size. As an example, we employed DiVE to monitor the diversity of panning rounds from a single-framework, semisynthetic single-chain antibody fragment (scFv) phage display library. The results are in good agreement with the observed decrease in diversity in phage display panning rounds toward the selection of monoclonal scFv. We conclude that the DiVE assay allows rapid and cost-effective monitoring of diversities of various nucleotide libraries and proves to be particularly suitable for scaffold-based randomized libraries.

A calibrated diversity assay for nucleic acid libraries using DiStRO--a Diversity Standard of Random Oligonucleotides

We have determined diversities exceeding 10¹² different sequences in an annealing and melting assay using synthetic randomized oligonucleotides as a standard. For such high diversities, the annealing kinetics differ from those observed for low diversities, favouring the remelting curve after annealing as the best indicator of complexity. Direct comparisons of nucleic acid pools obtained from an aptamer selection demonstrate that even highly complex populations can be evaluated by using DiStRO, without the need of complicated calculations.

Estimating the sequence complexity of a random oligonucleotide population by using in vitro thermal melting and Cot analyses

Randomly generated oligonucleotide populations have a high potential to serve as pools for selecting non-cross-hybridizing sequences, which are useful for nanoscale self-assembly and biological and biomedical applications, as well as for DNA computing applications. In this study a nonlinear kinetic model was developed for the complexity estimation of large unknown polynucleotide populations and was experimentally verified. The model was implemented to estimate the sequence complexity of the random 20 base-pair population after in vitro renaturation experiments. The kinetic behaviors of the random 20mers were also evaluated with in vitro thermal melting experiments. This study represents a step in realizing the potential of random oligonucleotides for DNA computing and nanoscale self-assembly applications for biology and medicine.

Diverse Evolutionary Trajectories Characterize a Community of RNA-Cleaving Deoxyribozymes: A Case Study into the Population Dynamics of In Vitro Selection

Two parallel in vitro selections (denoted Selection A and Selection B) were conducted under different selection-pressure regimes, yielding a diverse community of RNA-cleaving deoxyribozymes. In Selection A, the reaction time was reduced four times (from 5 h to 5 s) over the course of 24 generations, while in Selection B the reaction time was maintained at 5 h for 30 rounds of selective amplification. Sequence alignment was conducted on more than 800 clones assembled from 18 generations that span both selections. Many prominent catalytic sequence classes, including some that extend across both selections, were identified and used to construct fitness landscapes depicting their rise and fall over time. The landscapes from both selections exhibit similar global trends despite differences in population dynamics. Some deoxyribozymes were predominant in the early rounds of selection but gave way to other species that dominated in the middle rounds. Ultimately, these middle classes disappeared from the landscape in favor of new and presumably more fit deoxyribozyme sequence classes. The shape of these landscapes alludes to the presence of many latent deoxyribozymes in the initial library, which can only be accessed by changes in the selection pressure and/or by adaptive mutations. Basic computer simulations provide theoretical corroboration of the experimentally observed pattern of staggered sequence-class transitions across the fitness landscapes. These simulations model the influence of one or more contributing factors, including catalytic rate, folding efficiency, PCR amplification efficiency, and random mutagenesis. This is the first study which thoroughly documents the topography of a deoxyribozyme fitness landscape over many generations of in vitro selection.

A tenascin-C aptamer identified by tumor cell SELEX: systematic evolution of ligands by exponential enrichment

The targeting of molecular repertoires to complex systems rather than biochemically pure entities is an accessible approach that can identify proteins of biological interest. We have probed antigens presented by a monolayer of tumor cells for their ability to interact with a pool of aptamers. A glioblastoma-derived cell line, U251, was used as the target for systematic evolution of ligands by exponential enrichment by using a single-stranded DNA library. We isolated specifically interacting oligonucleotides, and biochemical strategies were used to identify the protein target for one of the aptamers. Here we characterize the interaction of the DNA aptamer, GBI-10, with tenascin-C, an extracellular protein found in the tumor matrix. Tenascin-C is believed to be involved in both embryogenesis and oncogenesis pathways. Systematic evolution of ligands by exponential enrichment appears to be a successful strategy for the a priori identification of targets of biological interest within complex systems.

Tenascin-C aptamers are generated using tumor cells and purified protein

Tenascin-C (TN-C) is an extracellular matrix protein that is overexpressed during tissue remodeling processes, including tumor growth. To identify an aptamer for testing as a tumor-selective ligand, SELEX (systematic evolution of ligands by exponential enrichment) procedures were performed using both TN-C and TN-C-expressing U251 glioblastoma cells. The different selection techniques yielded TN-C aptamers that are related in sequence. In addition, a crossover procedure that switched from tumor cell to purified protein selections was effective in isolating two high-affinity TN-C aptamers. When targeting tumor cells in vitro, the observed propensity of naive oligonucleotide pools to evolve TN-C aptamers may be due to the abundance of this protein. In vivo, TN-C abundance may also be well suited for aptamer accumulation in the tumor milieu. A size-minimized and nuclease-stabilized aptamer, TTA1, binds to the fibrinogen-like domain of TN-C with an equilibrium dissociation constant (K(d)) of 5 x 10(-9) m. At 13 kDa, this aptamer is intermediate in size between peptides and single chain antibody fragments, both of which are superior to antibodies for tumor targeting because of their smaller size. TTA1 defines a new class of ligands that are intended for targeted delivery of radioisotopes or chemical agents to diseased tissues.