ArticleACS nano2026
Scalable Multiparametric Characterization of Aptamer-Target Interactions.
Article in ACS nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Nucleic acid aptamers: new methods for selection, target validation, molecular diagnostics and therapeutics.Signal transduction and targeted therapy · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Structure-switching aptamers transduce target-induced conformational changes into detectable signals, enabling the specific detection of small molecules with limited surface area and charge. Understanding these structural transitions is critical for the rational design of aptamers in downstream biosensing. However, current methods lack the scalability and high spatiotemporal resolution to characterize and resolve these structural dynamics within a single unified platform. Here, we report a scalable droplet microfluidic platform that fills this technological gap by integrating Förster resonance energy transfer with automated imaging for the multiparametric profiling of aptamer-target interactions. This integrated system enables the detailed analysis of aptamer-target interactions in picoliter volumes under physiologically relevant conditions across the millisecond-to-hour time scales. Investigating serotonin aptamers with varying stem lengths, we systematically explore structure-function relationships and translate molecular-level insights into the application-driven selection of optimal candidates. By bridging low-throughput structural characterization with a rapid, low-volume, and multiparametric readout, our platform overcomes a key barrier in translational biosensor development and lays the foundation for data-driven engineering of structure-switching aptamers tailored for diagnostics and beyond.
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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.