Evidence map›Paper›PMID 42584624›Full record

ArticleJournal of the American Chemical Society2026

Quantifying the Characteristic Turnover Frequency of an Individual Redox Enzyme via Real-Time Electrical Transduction of Catalytic Events in a Label-Free Single-Protein Junction.

Tracy Quynh Ha, Albert C Aragonès, Qiankun Wang, Desmond Koomson, Nashili Kibria, Sofia Margiola, Yongchan Jeong, Jhanelle White, Kavita Garg, Jessica Peate and 4 more

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

14 authors.

Tracy Quynh HaDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.
Albert C AragonèsDepartament de Ciència de Materials i Química Física & Institut de Química Teòrica i Computacional (IQTC), Universitat de Barcelona, Martí I Franquès 1, Barcelona08028, Spain.ORCID 0000-0002-1829-6941
Qiankun WangDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.
Desmond KoomsonDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.ORCID 0000-0003-0577-6169
Nashili KibriaDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.
Sofia MargiolaDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.
Yongchan JeongDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.
Jhanelle WhiteDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.
Kavita GargDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.
Jessica PeateDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.ORCID 0009-0000-0199-5124
Alex P S BroganDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.ORCID 0000-0002-8361-6649
Leigh AldousDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.ORCID 0000-0003-1843-597X
Sarah M BarryDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.ORCID 0000-0001-8188-2153
Ismael Díez-PérezDepartment of Chemistry, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, Britannia House, 7 Trinity Street, LondonSE1 1DB, U.K.ORCID 0000-0003-0513-8888

Funding

Biotechnology and Biological Sciences Research Council BB/X002810/1Biotechnology and Biological Sciences Research Council EP/X039420/1Horizon 2020 Fields4CAT-772391Max-Planck-Gesellschaft NAMinisterio de Ciencia, Tecnolog?a e Innovaci?n RYC2021-031001-IScience Gallery London NA
6 · The paper itself

Abstract

Understanding redox enzymatic reactions remains a fundamental challenge in biochemistry, as these processes involve intricate dynamics that are inherently difficult to dissect using conventional bulk techniques. Single-enzyme catalysis offers a promising approach for unraveling the dynamic behavior of individual enzymes as they undergo a reaction, revealing the complex heterogeneity that is lost in the averaged ensemble. Here, we demonstrate real-time, label-free monitoring of the electrical transduction of single-protein enzymatic activity for two redox enzymes, cytochrome P450camand glutathione reductase, trapped in an electrochemically controlled nanoscale tunneling junction immersed in the aqueous enzymatic mixture. The conductance switching signal observed in individual transients of the electrical current flowing through the single-protein junction shows that the tunneling conductance is modulated by the enzymatic reaction; subtle changes in the enzyme redox state occurring during the chemical catalysis process result in fluctuations of the enzyme junction conductivity, which are captured as a switching signal. At the applied electrochemical reducing potential for electrocatalysis, the transient oxidation of the trapped enzyme in every catalytic cycle opens an additional redox-mediated electron tunneling channel in the single-protein junction that results in a temporary tunneling current jump, contributing to the observed conductance switching feature. The latter is experimentally corroborated via electrochemically controlled conductance measurements of the single-protein junction. The statistical analysis of the switching events captured over long time periods results in average frequencies that correlate well with the reported catalytic turnover values of both enzymes obtained in standard bulk assays. The single-enzyme experiments reveal the acute heterogeneous behavior of enzymatic catalysis and the quantification of single-enzyme turnover frequencies. This work demonstrates a new nanoscale platform for nonlabeled electrical detection of single-enzyme activity in a redox enzymatic process.

Indexed as

Glutathione ReductaseNADPH-Ferrihemoprotein ReductaseBiocatalysisElectrochemical TechniquesOxidation-ReductionGlutathione ReductaseNADPH-Ferrihemoprotein Reductase

Identifiers

PMID42584624
PMCPMC13474935

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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.