Evidence map›Paper›PMID 39951531›Full record

ArticleScience advances2025

Decoding aptamer-protein binding kinetics for continuous biosensing using single-molecule techniques.

Mike Filius, Lena Fasching, Raman van Wee, Alina Y Rwei, Chirlmin Joo

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mike FiliusDepartment of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, 2629 HZ Delft, Netherlands.ORCID 0000-0002-5434-8358
Lena FaschingDepartment of Chemical Engineering, Delft University of Technology, 2629 HZ Delft, Netherlands.ORCID 0009-0000-8009-5342
Raman van WeeDepartment of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, 2629 HZ Delft, Netherlands.ORCID 0000-0001-8941-3693
Alina Y RweiDepartment of Chemical Engineering, Delft University of Technology, 2629 HZ Delft, Netherlands.ORCID 0000-0001-6080-579X
Chirlmin JooDepartment of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, 2629 HZ Delft, Netherlands.ORCID 0000-0003-2803-0335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous biosensing provides real-time information about biochemical processes and holds great potential for health monitoring. Aptamers have emerged as promising alternatives over traditional biorecognition elements. However, the underlying aptamer-target binding interactions are often poorly understood. Here, we present a technique that can decode aptamer-protein binding interactions at the single-molecule level. We demonstrate that our single-molecule assay is able to decode the underlying binding kinetics of aptamers despite their similar binding affinity. Guided by computational simulations and validated with quartz crystal microbalance experiments, we show that the quantitative insights generated by this single-molecule technique enabled the rational understanding of biosensor performance (i.e., the sensitivity and limit of detection). This capability was demonstrated with thrombin as the analyte and the structurally similar aptamers HD1, RE31, and NU172 as the biorecognition elements. This work decodes aptamer-protein interactions with high temporal resolution, paving the way for the rational design of aptamer-based biosensors.

Indexed as

Aptamers, NucleotideBiosensing TechniquesSingle Molecule ImagingThrombinHumansKineticsProtein BindingQuartz Crystal Microbalance TechniquesAptamers, NucleotideThrombin

Identifiers

PMID39951531
PMCPMC11827629

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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.