DNA aptamers against the Lup an 1 food allergen

Using in vitro selection, high affinity DNA aptamers to the food allergen Lup an 1, ß-conglutin, were selected from a pool of DNA, 93 bases in length, containing a randomised sequence of 49 bases. ß-conglutin was purified from lupin flour and chemically crosslinked to carboxylated magnetic beads. Peptide mass fingerprinting was used to confirm the presence of the ß-conglutin. Single stranded DNA was generated from the randomised pool using T7 Gene 6 Exonuclease and was subsequently incubated with the magnetic beads and the captured DNA was released and amplified prior to a further round of Systematic Evolution of Ligands by Exponential Enrichment (SELEX). Evolution was monitored using enzyme linked oligonucleotide assay and surface plasmon resonance. Once a plateau in evolution was reached, the isolated DNA sequences were cloned and sequenced. The consensus motif was identified via alignment of the sequences and the affinities of these sequences for immobilised ß-conglutin were determined using surface plasmon resonance. The selected aptamer was demonstrated to be highly specific, showing no cross-reactivity with other flour ingredients or with other conglutin fractions of lupin. The secondary structures of the selected aptamers were predicted using m-fold. Finally, the functionality of the selected aptamers was demonstrated using a competitive assay for the quantitative detection of ß-conglutin. . Future work will focus on structure elucidation and truncation of the selected sequences to generate a smaller aptamer for application to the analysis of the Lup an 1 allergen in foodstuffs.     

Analysis of the evolution of the thrombin-inhibiting DNA aptamers using a genetic algorithm

We previously identified a thrombin-inhibiting DNA aptamer that was presumed to form a G-quartet structure with a duplex. To investigate the importance of the sequences in the duplex region and to obtain aptamers with higher inhibitory activities, we randomized the sequences of the duplex region of this aptamer and carried out selection based on inhibitory activity using a genetic algorithm. This method consisted of selection via an inhibition assay, crossover, and mutation in silico. After two cycles, we obtained ligands with greater inhibitory activities than that of the original aptamer. In addition, the duplex sequences were found to contribute to the inhibitory activities of aptamers.     

空间直观景观模型的验证方法

空间直观景观模型已是当前景观生态学研究的一大热点。空间景观模型模拟空间格局变化。其模拟结果包含非空间数据和空间数据。空间直观景观模型的验证除进行非空间数据的验证外,还需要进行空间数据的验证。本文回顾了空间直观模型发展历程,总结现有的空间直观模型验证方法。包括主观评价、图形比较、偏差分析、回归分析、假设检验、多尺度拟合度分析和景观指数分析,同时提出今后空间直观景观模型验证方法研究的重点方向。     

Selection and evolution of NTP-specific aptamers

ATP occupies a central position in biology, for it is both an elementary building block of RNA and the most widely used cofactor in all living organisms. For this reason, it has been a recurrent target for in vitro molecular evolution techniques. The exploration of ATP-binding motifs constitutes both an important step in investigating the plausibility of the ‘RNA world’ hypothesis and a central starting point for the development of new enzymes. To date, only two RNA motifs that bind ATP have been characterized. The first one is targeted to the adenosine moiety, while the second one recognizes the ‘Hoogsteen’ face of the base. To isolate aptamers that bind ATP in different orientations, we selected RNAs on an affinity resin that presents ATP in three different orientations. We obtained five new motifs that were characterized and subsequently submitted to a secondary selection protocol designed to isolate aptamers specific for cordycepin. Interestingly, all the ATP-binding motifs selected specifically recognize the sugar-phosphate backbone region of the nucleotides. Three of the aptamers show some selectivity for adenine derivatives, while the remainder recognize any of the four nucleotides with similar efficiency. The characteristics of these aptamers are discussed along with implications for in vitro molecular evolution.     

Mechanistic modelling allows to assess pathways of DNA lesion interactions underlying chromosome aberration formation

The knowledge of radiation-induced chromosomal aberration (CA) mechanisms is required in many fields of radiation genetics, radiation biology, biodosimetry, etc. However, these mechanisms are yet to be quantitatively characterised. One of the reasons is that the relationships between primary lesions of DNA/chromatin/chromosomes and dose-response curves for CA are unknown because the pathways of lesion interactions in an interphase nucleus are currently inaccessible for direct experimental observation. This article aims for the comparative analysis of two principally different scenarios of formation of simple and complex interchromosomal exchange aberrations: by lesion interactions at chromosome territories?? surface vs. in the whole space of the nucleus. The analysis was based on quantitative mechanistic modelling of different levels of structures and processes involved in CA formation: chromosome structure in an interphase nucleus, induction, repair and interactions of DNA lesions. It was shown that the restricted diffusion of chromosomal loci, predicted by computational modelling of chromosome organization, results in lesion interactions in the whole space of the nucleus being impossible. At the same time, predicted features of subchromosomal dynamics agrees well with in vivo observations and does not contradict the mechanism of CA formation at the surface of chromosome territories. On the other hand, the ??surface mechanism?? of CA formation, despite having certain qualities, proved to be insufficient to explain high frequency of complex exchange aberrations observed by mFISH technique. The alternative mechanism, CA formation on nuclear centres is expected to be sufficient to explain frequent complex exchanges.     

Species-area relationships from a spatially explicit neutral model in an infinite landscape

We use recently developed technical methods to study species–area relationships from a spatially explicit extension of Hubbell's neutral model on an infinite landscape. Our model includes variable dispersal distances and exhibits qualitatively different behaviour from the cases of nearest-neighbour dispersal and finite periodic landscapes that have previously been studied. We show that different dispersal distances and even different dispersal kernels produce identical species–area curves up to rescaling of the two axes. This scaling property provides a straightforward method for fitting the model to empirical data. The species–area curves display all three phases observed empirically and enable the exponent describing the power law relationship for species–area curves to be identified as the gradient at the central phase. This exponent can take all values between 0 and 1 and is given by a simple function of the speciation rate, independent of all other model variables.     

A novel method of screening thrombin-inhibiting DNA aptamers using an evolution-mimicking algorithm

Thrombin-inhibiting DNA aptamers have already been obtained through the systematic evolution of ligands by exponential enrichment (SELEX). However, SELEX is a method that screens DNA aptamers that bind to their target molecules, and it sometimes fails to screen good inhibitors. Therefore, it is necessary to develop a method of screening DNA aptamers based on their inhibitory effects on the target molecules. We developed a novel method of detecting aptamers using an evolution-mimicking algorithm, and we applied it to the search of new aptamers which inhibit thrombin. First, we randomly designed and synthesized ten 15mer oligonucleotides presumed to form G-quartet structures, and then measured their thrombin-inhibiting activities. The aptamers showing high inhibitory activity were selected, and we shuffled and mutated those sequences in silico to generate 10 new sequences of next-generation aptamers. After repeating the cycle five times, we successfully obtained the same aptamers reported previously, and they showed high inhibitory activity. In addition, we added 8mer oligonucleotides to both the 5′ and the 3′ end of the selected 15mer aptamers, and then repeated the evolution in silico. After two cycles, we were able to obtain aptamers with higher inhibitory activity than that of the 15mer aptamers.     

Selection of DNA aptamers for breast cancer

A method of selection of DNA aptamers to breast tumor tissue based on the use of postoperative material has been developed. Breast cancer tissues were used as the positive target; the negative targets included benign tumor tissue, adjacent healthy tissues, breast tissues from mastopathy patients, and also tissues of other types of malignant tumors. During selection a pool of DNA aptamers demonstrating selective binding to breast cancer cells and tissues and insignificant binding to breast benign tissues has been obtained. These DNA aptamers can be used for identification of protein markers, breast cancer diagnostics, and targeted delivery of anticancer drugs.     

SELEX for tubulin affords specific T-rich DNA aptamers. Systematic evolution of ligands by exponeential enrichment.

We succeeded in acquiring two DNA aptamers that selectively recognize tubulin by the SELEX method. A pool of single-stranded oligo-DNAs including a random region of 59 nucleotides was screened by SELEX for tubulin purified from calf-brain as a target. After 20 repetitions of selection round, the library converged on specific T-rich sequences. The binding activity of T-rich clones was analyzed by the SPR sensor to determine their dissociation constants to be in the order of 10 microM.     

Characterization and application of aptamers for Taq DNA polymerase selected using an evolution-mimicking algorithm

Using an evolution-mimicking algorithm (EMA), we have recently identified DNA aptamers that inhibit Taq DNA polymerase. In the present study, we have attempted to improve further the inhibitory activities of aptamers, as well as to characterize those aptamers with the most potent inhibitory activities. To characterize the most potent aptamer and demonstrate its applicability, the abilities to inhibit Tth DNA polymerase and to modulate specific amplification in PCR were investigated. This aptamer inhibited both Tth DNA polymerase and Taq DNA polymerase and improved the specificity of detection of a low-copy-number target gene in PCR using these DNA polymerases.     

Selection of DNA aptamers using atomic force microscopy

Atomic force microscopy (AFM) can detect the adhesion or affinity force between a sample surface and cantilever, dynamically. This feature is useful as a method for the selection of aptamers that bind to their targets with very high affinity. Therefore, we propose the Systematic Evolution of Ligands by an EXponential enrichment (SELEX) method using AFM to obtain aptamers that have a strong affinity for target molecules. In this study, thrombin was chosen as the target molecule, and an ‘AFM-SELEX’ cycle was performed. As a result, selected cycles were completed with only three rounds, and many of the obtained aptamers had a higher affinity to thrombin than the conventional thrombin aptamer. Moreover, one type of obtained aptamer had a high affinity to thrombin as well as the anti-thrombin antibody. AFM-SELEX is, therefore, considered to be an available method for the selection of DNA aptamers that have a high affinity for their target molecules.     

DNA aptamers specific for Legionella pneumophila: systematic evolution of ligands by exponential enrichment in whole bacterial cells

Biotechnology Letters - Legionella pneumophila is the major causative agent of Legionnaires’ disease and Pontiac fever, which pose major public health problems. Rapid detection of L....     

In vitro selection of hematoporphyrin binding DNA aptamers

DNA aptamers that bind to hematoporphyrin IX (HPIX) were isolated using an in vitro selection technique. Most aptamers obtained after the 7th and 10th rounds contained guanine-rich sequences. Binding assay using fluorescence polarization technique and structural analysis by CD spectra revealed that the parallel guanine-quartet structure of the aptamer participates in the recognition of HPIX.     

In vitro selection of DNA aptamers binding ethanolamine

We have identified aptamers (synthetic oligonucleotides) binding to the very small molecule ethanolamine with high affinity down to the low nanomolar range. These aptamers were selected for their ability to bind to ethanolamine immobilised on magnetic beads, from an 96mer library of initially about 1 x 10(16) randomised ssDNA molecules. The dissociation constants of these aptamers range between K(D)=6 and K(D)=19 nmol L(-1). The aim of the development of ethanolamine aptamers is their use for the detection of this substance in clinical and environmental analysis. Ethanolamine is associated with several diseases. Moreover, ethanolamine and its derivatives di- and tri-ethanolamine are used in chemical and cosmetic industries. The use of biosensors with ethanolamine aptamer as new molecular recognition element could be an innovative method for an easy and fast detection of ethanolamine.     

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.     

In vitro evolution of RNA aptamers recognizing carcinogenic aromatic amines

The modification of cellular DNA by environmental substances is thought to be a crucial event in chemical induced carcinogenesis. Among the environmental carcinogens, aromatic amines are known for the fact that they can induce several types of cancers through the formation of so-called DNA adducts. We took advantage of the potential of the SELEX method to select for highly specific RNA ligands that recognize specific genotoxic aromatic amines. The aromatic amine 4,4'-methylenedianiline (MDA) was used as a target. Following in vitro selection, we obtained specific MDA-binding RNA molecules based on an affinity chromatography assay. These results open the possibility of using the SELEX technique to generate RNA molecules as diagnostic tools for the detection of DNA damaging compounds and ultimately DNA adducts.     

Development of DNA aptamers for cytochemical detection of acetylcholine

This report describes a novel approach to the detection of acetylcholine using DNA aptamers. Aptamers were developed by eight rounds of acetylcholine affinity column chromatography and polymerase chain reaction (PCR) amplification. Sequences from rounds 5 and 8 were screened by colorimetric enzyme-based microtiter plate assays and found to bind acetylcholine and related compounds, but not unrelated compounds. One of the highest affinity aptamers, designated ACh 6R, was further tested in aptamer-peroxidase and aptamer-fluorescence staining protocols. Using Neuro-2a murine neuroblastoma cells induced to differentiate in the presence of 1 μM all-trans-retinoic acid for 5–7 d, ACh 6R detected cholinergic cells by both the peroxidase and fluorescence methods. Unrelated DNA aptamers did not stain the cells using either method. Fixation with cold 2% paraformaldehyde was compared to cold alkaline allyl alcohol plus glutaraldehyde for immobilization of acetylcholine in situ and appeared to enable detection of greater numbers of cholinergic cells, although differences in levels of differentiation may have been a factor as well. Acetylcholine generally appeared to be distributed throughout the differentiated Neuro-2a cell bodies. However, in some cells, punctate staining along neurite outgrowths and near the termini of cellular processes suggested detection of acetylcholine in discrete vesicles.     

High-throughput quantitative binding analysis of DNA aptamers using exonucleases

Aptamers are nucleic acid bioreceptors that have been used in various applications including medical diagnostics and as therapeutic agents. Identifying the most optimal aptamer for a particular application is very challenging. Here, we for the first time have developed a high-throughput method for accurately quantifying aptamer binding affinity, specificity, and cross-reactivity via the kinetics of aptamer digestion by exonucleases. We demonstrate the utility of this approach by isolating a set of new aptamers for fentanyl and its analogs, and then characterizing the binding properties of 655 aptamer–ligand pairs using our exonuclease digestion assay and validating the results with gold-standard methodologies. These data were used to select optimal aptamers for the development of new sensors that detect fentanyl and its analogs in different analytical contexts. Our approach dramatically accelerates the aptamer characterization process and streamlines sensor development, and if coupled with robotics, could enable high-throughput quantitative analysis of thousands of aptamer–ligand pairs.     

Semi-automated selection of DNA aptamers using magnetic particle handling

We have developed a semi-automatic selection procedure for DNA aptamers. Employing a robotic workstation for magnetic particle handling, this method allows for a fast, reproducible, and parallelized selection of DNA aptamers. The selection protocol is designed to provide high flexibility and versatility in terms of choice of buffers and reagents, as well as stringency of selection. Using this procedure, we have successfully isolated ligand-specific, high-affinity DNA aptamers.     

Spatially explicit modelling of transgenic maize pollen dispersal and cross-pollination

Modelling of pollen dispersal and cross-pollination is of great importance for the ongoing discussion on thresholds for the adventitious presence of genetically modified material in food and feed. Two different modelling approaches for pollen dispersal are used to simulate the cross-pollination rate of pollen emerged from an adjacent transgenic crop field. The models are applied to cross-pollination data from field experiments with transgenic maize (Zea mays). The data were generated by an experimental setup specifically designed to suit the demands of mathematical modelling. First a Gaussian plume model is used for the simulation of pollen transport in and from plant canopies. This is a semiempirical approach combining the atmospheric diffusion equation and Lagrangian methodology. The second model is derived from the localised near field (LNF) theory and based on the physical processes in the canopy. Both modelling approaches prove to be appropriate for the simulation of the cross-pollination rates at distances of about 7.5m and more from the transgene source. The simulation of the cross-pollination rate is less precise at the edge of the source plot especially with the LNF theory. However, the simulation results lie within the range of variability of the observations. Concluding can be pointed out that both models might be adapted to other pollen dispersal experiments of different crops and plot sizes.