Evidence map›Paper›PMID 39403767›Full record

ArticleNanoscale2024

Variable gain DNA nanostructure charge amplifiers for biosensing.

Jacob M Majikes, Seulki Cho, Thomas E Cleveland, J Alexander Liddle, Arvind Balijepalli

Abstract read
In one paragraph

Article in Nanoscale, 2024. 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

5 authors.

Jacob M MajikesMicrosystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. arvind.balijepalli@nist.gov.ORCID http://orcid.org/0000-0003-3177-4941
Seulki ChoMicrosystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. arvind.balijepalli@nist.gov.ORCID http://orcid.org/0000-0002-2535-5153
Thomas E ClevelandBiomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.ORCID http://orcid.org/0000-0003-1992-8450
J Alexander LiddleMicrosystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. arvind.balijepalli@nist.gov.ORCID http://orcid.org/0000-0002-2508-7910
Arvind BalijepalliMicrosystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. arvind.balijepalli@nist.gov.ORCID http://orcid.org/0000-0002-3155-7202

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Electronic measurements of engineered nanostructures comprised solely of DNA (DNA origami) enable new signal conditioning modalities for use in biosensing. DNA origami, designed to take on arbitrary shapes and allow programmable motion triggered by conjugated biomolecules, have sufficient mass and charge to generate a large electrochemical signal. Here, we demonstrate the ability to electrostatically control the DNA origami conformation, and thereby the resulting signal amplification, when the structure binds a nucleic acid analyte. Critically, unlike previous studies that employ DNA origami to amplify an electrical signal, we show that the conformation changes under an applied field are reversible. This applied field also simultaneously accelerates structural transitions above the rate determined by thermal motion. We tuned this property of the structures to achieve a response that was ≈2 × 10

Indexed as

Biosensing TechniquesDNANanostructuresElectrochemical TechniquesNucleic Acid ConformationNucleic Acid HybridizationStatic ElectricityDNA

Identifiers

PMID39403767
PMCPMC11883816

What OpenQuestion holds

Textmetadata
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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.