ArticleACS omega2019
One-Pot SELEX: Identification of Specific Aptamers against Diverse Steroid Targets in One Selection.
Article in ACS omega, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- A general strategy to enhance aptamer affinity by suppressing dissociation through symmetric assembly.Nucleic acids research · 2026Article
- Integrating Magnetic Bead-Based SELEX withACS omega · 2025Article
- Structure-enhanced deep learning accelerates aptamer selection for small molecule families like steroids.Briefings in bioinformatics · 2025Article
- Utilizing Deep Learning Algorithms for Signal Processing in Electrochemical Biosensors: From Data Augmentation to Detection and Quantification of Chemicals of Interest.Bioengineering (Basel, Switzerland) · 2023Article
- Selective Delivery to Cardiac Muscle Cells Using Cell-Specific Aptamers.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Predicting Analyte Concentrations from Electrochemical Aptasensor Signals Using LSTM Recurrent Networks.Bioengineering (Basel, Switzerland) · 2022Article
- A Highly Sensitive Modified Glassy Carbon Electrode with a Carboxylated Multi-walled Carbon Nanotubes/Nafion Nano Composite for Voltammetric Sensing of Dianabol in Biological Fluid.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021Article
- Hybrid Antibody-Aptamer Assay for Detection of Tetrodotoxin in Pufferfish.Analytical chemistry · 2021Article
- Advances and Challenges in Small-Molecule DNA Aptamer Isolation, Characterization, and Sensor Development.Angewandte Chemie (International ed. in English) · 2021Review
- Implementation of High-Throughput Sequencing (HTS) in Aptamer Selection Technology.International journal of molecular sciences · 2020Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aptamers are well-established biorecognition molecules used in a wide variety of applications for the detection of their respective targets. However, individual SELEX processes typically performed for the identification of aptamers for each target can be quite time-consuming, labor-intensive, and costly. An alternative strategy is proposed herein for the simultaneous identification of different aptamers binding distinct but structurally similar targets in one single selection. This one-pot SELEX approach, using the steroids estradiol, progesterone, and testosterone as model targets, was achieved by combining the benefits of counter-SELEX with the power of next-generation sequencing and bioinformatics analysis. The pools from the last stage of the selection were compared in order to discover sequences with preferential abundance in only one of the pools. This led to the identification of aptamer candidates with potential specificity to a single steroid target. Binding studies demonstrated the high affinity of each selected aptamer for its respective target, and low nanomolar range dissociation constants calculated were similar to those previously reported for steroid-binding aptamers selected using traditional SELEX approaches. Finally, the selected aptamers were exploited in microtiter plate assays, achieving nanomolar limits of detection, while the specificity of these aptamers was also demonstrated. Overall, the one-pot SELEX strategy led to the discovery of aptamers for three different steroid targets in one single selection without compromising their affinity or specificity, demonstrating the power of this approach of aptamer discovery for the simultaneous selection of aptamers against multiple targets.
Identifiers
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Registered trials
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.