Evidence map›Paper›PMID 39793064›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Modular DNA origami-based electrochemical detection of DNA and proteins.

Byoung-Jin Jeon, Matteo M Guareschi, Jaimie Marie Stewart, Emily Wu, Ashwin Gopinath, Netzahualcóyotl Arroyo-Currás, Philippe Dauphin-Ducharme, Kevin W Plaxco, Philip S Lukeman, Paul W K Rothemund

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

10 authors.

Byoung-Jin Jeon *Department of Bioengineering, California Institute of Technology, Pasadena, CA 91125.
Matteo M Guareschi *Department of Bioengineering, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-5197-3158
Jaimie Marie StewartDepartment of Bioengineering, University of California, Los Angeles, CA 90095.ORCID 0000-0003-1600-5677
Emily WuDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-7829-4147
Ashwin GopinathDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Netzahualcóyotl Arroyo-CurrásDepartment of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205.ORCID 0000-0002-2740-6276
Philippe Dauphin-DucharmeDépartement de chimie, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada.ORCID 0000-0002-0490-7115
Kevin W PlaxcoDepartment of Chemistry and Biochemistry, University of California Santa Barbara, Santa Barbara, CA 93106.ORCID 0000-0003-4772-8771
Philip S LukemanDepartment of Chemistry, St. John's University, New York, NY 11439.ORCID 0000-0003-0563-5032
Paul W K RothemundDepartment of Bioengineering, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-1653-3202

Funding

Bio-electrochemical detectors for in vivo continuous monitoringR01EB022015 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI KIPPIN, TOD EDWARD, PLAXCO, KEVIN W · 2017 to 2025
$4.6M
DOD | USA | AFC | CCDC | Army Research Office (ARO) W911NF-19-1-0326DOD | USN | Office of Naval Research (ONR) N00014-18-1-2649DOD | USN | Office of Naval Research (ONR) N00014-19-1-2341Life Sciences Research Foundation (LSRF) 2020-MerckNIBIB NIH HHS R01 EB022015NSF (NSF) 2134772
6 · The paper itself

Abstract

The diversity and heterogeneity of biomarkers has made the development of general methods for single-step quantification of analytes difficult. For individual biomarkers, electrochemical methods that detect a conformational change in an affinity binder upon analyte binding have shown promise. However, because the conformational change must operate within a nanometer-scale working distance, an entirely new sensor, with a unique conformational change, must be developed for each analyte. Here, we demonstrate a modular electrochemical biosensor, built from DNA origami, which is easily adapted to diverse molecules by merely replacing its analyte binding domains. Instead of relying on a unique nanometer-scale movement of a single redox reporter, all sensor variants rely on the same 100-nm scale conformational change, which brings dozens of reporters close enough to a gold electrode surface that a signal can be measured via square-wave voltammetry, a standard electrochemical technique. To validate our sensor's mechanism, we used single-stranded DNA as an analyte, and optimized the number of redox reporters and various linker lengths. Adaptation of the sensor to streptavidin and Platelet-Derived Growth Factor-BB (PDGF-BB) analytes was achieved by simply adding biotin or anti-PDGF aptamers to appropriate DNA linkers. Geometrically optimized streptavidin sensors exhibited signal gain and limit of detection markedly better than comparable reagentless electrochemical sensors. After use, the same sensors could be regenerated under mild conditions: Performance was largely maintained over four cycles of DNA strand displacement and rehybridization. By leveraging the modularity of DNA nanostructures, our work provides a straightforward route to the single-step quantification of arbitrary nucleic acids and proteins.

Indexed as

BecaplerminBiosensing TechniquesElectrochemical TechniquesDNADNA, Single-StrandedGoldNanostructuresNucleic Acid ConformationOxidation-ReductionProto-Oncogene Proteins c-sisStreptavidinBecaplerminDNADNA, Single-StrandedGoldProto-Oncogene Proteins c-sisStreptavidinbiosensorDNA origamielectrochemistrymodular sensorsquare-wave voltammetry

Identifiers

PMID39793064
PMCPMC11725875

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.