Evidence map›Paper›PMID 42818351›Full record

ArticlebioRxiv : the preprint server for biology2026

Charge-screening dominates signal transduction in electrochemical nucleic acid sensors for aminoglycosides.

Steven Yee, Grace M Maddocks, H Tom Soh

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Steven YeeDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-2186-6244
Grace M MaddocksDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0009-0003-7512-4526
H Tom SohDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-9443-857X

Funding

A CMOS-based miniaturized and disposable molecular detection system enabling sample in-situ biosensingR01EB038309 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI CHIEN, JUN-CHAU · 2025 to 2025
$2.3M
NIBIB NIH HHS R01 EB038309
6 · The paper itself

Abstract

Electrochemical aptamer-based (EAB) sensors have emerged as a promising framework for reagentless, real-time molecular monitoring in complex biological matrices. Signal transduction in a prominent benchmark system-targeting aminoglycoside antibiotics-has been nearly universally attributed to target-specific, binding-induced conformational changes that modulate the distance between a redox reporter and the electrode surface. Here, using a suite of interfacial electrochemical and optical characterization methods, we systematically show that charge-screening, not structure switching, dominates the signaling mechanism in the case of the aminoglycoside EAB sensor. First, we demonstrate that the legacy aminoglycoside sensor sequence exhibits apparent affinities and relative electron kinetic modulations similar to unrelated control sequences, including generic stem-loop hairpins, unstructured poly-T sequences, and short duplexes. Multi-modal validation via bio-layer interferometry (BLI), circular dichroism (CD), and fluorescence spectroscopy confirms that this promiscuous target association occurs across disparate DNA sequences and without detectable conformational reconfiguration. Further investigation via charge-scaling polyamine assays and on-electrode fluorescence imaging demonstrate that the dominant signal transduction mechanism in these sensors is instead driven by macro-scale electrostatic backbone charge-screening.

Indexed as

aminoglycosidesbio-layer interferometrycharge-screeningcircular dichroismelectrochemical aptamer-based sensorsmethylene bluepolycationic targetssquare-wave voltammetrystructure-switching aptamer

Identifiers

PMID42818351
PMCPMC13622269

What OpenQuestion holds

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Registered trials

None linked

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.