ArticleAnalytical chemistry2015
Array-based discovery of aptamer pairs.
Article in Analytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Single-Molecule DNA Tweezers Enable Programmable Control of Enzyme Activity via Arbitrary Molecular Cues.Angewandte Chemie (International ed. in English) · 2025Article
- SELEX-based DNA Aptamer Selection: A Perspective from the Advancement of Separation Techniques.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021Review
- Using Aptamers as a Novel Method for Determining GnRH/LH Pulsatility.International journal of molecular sciences · 2020Review
- Rapid selection of aptamers based on protein microarray.RSC advances · 2019Article
- Nucleic acid aptamer-based methods for diagnosis of infections.Biosensors & bioelectronics · 2018Review
- Comprehensive profiling of the ligand binding landscapes of duplexed aptamer families reveals widespread induced fit.Nature communications · 2018Article
- Microfluidic methods for aptamer selection and characterization.The Analyst · 2017Review
- Selection of DNA aptamers with two modified bases.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Multivalent Aptamers: Versatile Tools for Diagnostic and Therapeutic Applications.Molecules (Basel, Switzerland) · 2016Review
- Methods for Improving Aptamer Binding Affinity.Molecules (Basel, Switzerland) · 2016Review
- Fluorescence-Based Strategies to Investigate the Structure and Dynamics of Aptamer-Ligand Complexes.Frontiers in chemistry · 2016Review
- Quantifying Aptamer-Protein Binding via Thermofluorimetric Analysis.Analytical methods : advancing methods and applications · 2015Article
- A Highlight of Recent Advances in Aptamer Technology and Its Application.Molecules (Basel, Switzerland) · 2015Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Affinity reagent pairs that recognize distinct epitopes on a target protein can greatly improve the sensitivity and specificity of molecular detection. Importantly, such pairs can be conjugated to generate reagents that achieve two-site "bidentate" target recognition, with affinities greatly exceeding either monovalent component. DNA aptamers are especially well-suited for such constructs, because they can be linked via standard synthesis techniques without requiring chemical conjugation. Unfortunately, aptamer pairs are difficult to generate, primarily because conventional selection methods preferentially yield aptamers that recognize a dominant "hot spot" epitope. Our array-based discovery platform for multivalent aptamers (AD-MAP) overcomes this problem to achieve efficient discovery of aptamer pairs. We use microfluidic selection and high-throughput sequencing to obtain an enriched pool of aptamer sequences. Next, we synthesize a custom array based on these sequences, and perform parallel affinity measurements to identify the highest-affinity aptamer for the target protein. We use this aptamer to form complexes that block the primary binding site on the target, and then screen the same array with these complexes to identify aptamers that bind secondary epitopes. We used AD-MAP to discover DNA aptamer pairs that bind distinct sites on human angiopoietin-2 with high affinities, even in undiluted serum. To the best of our knowledge, this is the first work to discover new aptamer pairs using arrays. We subsequently conjugated these aptamers with a flexible linker to construct ultra-high-affinity bidentate reagents, with equilibrium dissociation constants as low as 97 pM: >200-fold better than either component aptamer. Functional studies confirm that both aptamers critically contribute to this ultrahigh affinity, highlighting the promise of such reagents for research and clinical use.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.