DOI | Trouver le DOI : https://doi.org/10.1016/j.bios.2012.07.049 |
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Auteur | Rechercher : Elshafey, Reda; Rechercher : Tlili, Chaker; Rechercher : Abulrob, Abedelnasser1; Rechercher : Tavares, Ana C.; Rechercher : Zourob, Mohammed |
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Affiliation | - Conseil national de recherches du Canada. Thérapeutique en santé humaine
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Format | Texte, Article |
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Sujet | MDM2; Cancer biomarker; Brain tissue; Cysteamine; Immunosensor; 1,4-phenylene diisothiocyanate; Electrochemical impedance spectroscopy |
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Résumé | The detection of cancer biomarkers is as important tool for the diagnosis and prognosis of cancer such as brain cancer. Murine double minute 2 (MDM2) has been widely studied as prognostic marker for brain tumor. Here we describe development of a new sensitive label free impedimetric immunosensor for the detection of MDM2 based on cysteamine self assembled monolayers on a clean polycrystalline Au electrode surface. The amine-modified electrodes were further functionalized with antibody using homobifunctional 1,4-phenylene diisothiocyanate (PDITC) linker. The assembly processes of the immunosensor had been monitored with cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) techniques using Fe(CN)6^3-/4- solution as redox probe. The impedance changes upon binding of MDM2 protein to the sensor surface was utilized for the detection of MDM2. The increase in relative electron-transfer resistance (ΔR/R0%) values was linearly proportional to the concentration of tumor marker MDM2 in the wide dynamic range of 1pg/ml-1μg/ml. The limit of detection was 0.29pg/ml in phosphate buffer saline (PBS) and 1.3pg/ml in mouse brain tissue homogenate, respectively. The immunosensor showed a good performance in comparison with ELISA for the analysis of the MDM2 in the cancerous mouse brain tissue homogenates. Moreover, the immunosensor had a good selectivity against epidermal growth factor receptor (EGFR) protein, long-storage stability and reproducibility. It might be become a promising assay for clinical diagnosis and early detection of tumors. © 2012 Elsevier B.V.. |
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Date de publication | 2012-08-02 |
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Dans | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Numéro NPARC | 21271786 |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | df0e875a-2bce-4845-b369-b19ccbadd98e |
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Enregistrement créé | 2014-04-17 |
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Enregistrement modifié | 2020-04-21 |
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