Evidence map›Paper›PMID 34986438›Full record

ArticleBiosensors & bioelectronics2022

Reagentless electrochemical biosensors through incorporation of unnatural amino acids on the protein structure.

Elnaz Zeynaloo, Elsayed M Zahran, Yu-Ping Yang, Emre Dikici, Trajen Head, Leonidas G Bachas, Sylvia Daunert

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Elnaz ZeynalooDepartment of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL, 33136, United States; Department of Chemistry, University of Miami, Miami, FL, 33134, United States.
Elsayed M ZahranDepartment of Chemistry, Ball State University, Muncie, IN, 47306, United States.
Yu-Ping YangDepartment of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL, 33136, United States; Dr. JT Macdonald Foundation Biomedical Nanotechnology Institute, University of Miami, Miami, FL, 33136, United States.
Emre DikiciDepartment of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL, 33136, United States; Dr. JT Macdonald Foundation Biomedical Nanotechnology Institute, University of Miami, Miami, FL, 33136, United States; Clinical and Translational Science Institute, University of Miami, Miami, FL, 33136, United States.
Trajen HeadDepartment of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL, 33136, United States; Dr. JT Macdonald Foundation Biomedical Nanotechnology Institute, University of Miami, Miami, FL, 33136, United States.
Leonidas G BachasDepartment of Chemistry, University of Miami, Miami, FL, 33134, United States; Dr. JT Macdonald Foundation Biomedical Nanotechnology Institute, University of Miami, Miami, FL, 33136, United States.
Sylvia DaunertDepartment of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL, 33136, United States; Dr. JT Macdonald Foundation Biomedical Nanotechnology Institute, University of Miami, Miami, FL, 33136, United States; Clinical and Translational Science Institute, University of Miami, Miami, FL, 33136, United States. Electronic address: sdaunert@med.miami.edu.

Funding

Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
Th17 cells as a new therapeutic target for depressionR01MH104656 · NIMH · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BEUREL, ELEONORE · 2015 to 2024
$3.8M
The microbiota, a possible link between Th17 cells and depressionR01MH110415 · NIMH · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BEUREL, ELEONORE · 2017 to 2021
$1.5M
Portable, Rapid, Multiplexed Flow strip Test for BacteriaR01GM127706 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI DAUNERT, SYLVIA, DEO, SAPNA K · 2018 to 2021
$1.2M
NCATS NIH HHS UL1 TR002736NIGMS NIH HHS R01 GM127706NIMH NIH HHS R01 MH104656NIMH NIH HHS R01 MH110415
6 · The paper itself

Abstract

Typical protein biosensors employ chemical or genetic labeling of the protein, thus introducing an extraneous molecule to the wild-type parent protein, often changing the overall structure and properties of the protein. While these labeling methods have proven successful in many cases, they also have a series of disadvantages associated with their preparation and function. An alternative route for labeling proteins is the incorporation of unnatural amino acid (UAA) analogues, capable of acting as a label, into the structure of a protein. Such an approach, while changing the local microenvironment, poses less of a burden on the overall structure of the protein. L-DOPA is an analog of phenylalanine and contains a catechol moiety that participates in a quasi-reversible, two-electron redox process, thus making it suitable as an electrochemical label/reporter. The periplasmic glucose/galactose binding protein (GBP) was chosen to demonstrate this detection principle. Upon glucose binding, GBP undergoes a significant conformational change that is manifested as a change in the electrochemistry of L-DOPA. The electroactive GBP was immobilized onto gold nanoparticle-modified, polymerized caffeic acid, screen-printed carbon electrodes (GBP-LDOPA/AuNP/PCA/SPCE) for the purpose of direct measurement of glucose levels and serves as a proof-of-concept of the use of electrochemically-active unnatural amino acids as the label. The resulting reagentless GBP biosensors exhibited a highly selective and sensitive binding affinity for glucose in the micromolar range, laying the foundation for a new biosensing methodology based on global incorporation of an electroactive amino acid into the protein's primary sequence for highly selective electrochemical detection of compounds of interest.

Indexed as

Biosensing TechniquesMetal NanoparticlesAmino AcidsElectrochemical TechniquesElectrochemistryElectrodesGoldAmino AcidsGoldElectrochemical biosensorGlucose sensorL-DOPAProtein labelingUnnatural amino acid

Identifiers

PMID34986438
PMCPMC9404255

What OpenQuestion holds

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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.