Literature DB >> 31574255

Quantitative protein detection using single molecule imaging enzyme-linked immunosorbent assay (iELISA).

Chengcheng Wu1, Yanke Shan1, Xuping Wu2, Shouyu Wang3, Fei Liu4.   

Abstract

Protein detection is a key step in molecular biology research and is required for pathogen and protein marker testing for disease diagnostics. Here, single molecule imaging enzyme-linked immunosorbent assay (iELISA) is proposed to quantitatively measure the porcine circovirus type 2 (PCV2) Cap protein. The monoclonal antibody against PCV2 Cap protein indirectly immobilized on a polyethylene glycol (PEG) passivated slide by biotin-streptavidin interaction is used to capture the PCV2 Cap protein, and the PCV2 Cap protein can be detected in single molecule level according to the fluorescein isothiocyanate (FITC)-labeled secondary antibody using total internal reflection fluorescence microscopy. The single molecule iELISA measurements can be finished within 1 h skipping the time-consuming sample preparation procedures; moreover, it also exhibits excellent protein selectivity and anti-interference capability. With the proposed single molecule iELISA, linear relation between the fluorescent signals and logarithm of target protein concentrations is obtained with the detection limit of 7 ng/mL. Considering its high accuracy in target protein detection with simple procedures and fast speed, it is believed single molecule iELISA can be potentially adopted in fast trace protein detection.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Imaging enzyme-linked immunosorbent assay (iELISA); Porcine circovirus type 2 (PCV2) Cap protein; Protein detection; Single molecule; Total internal reflection fluorescence microscopy

Year:  2019        PMID: 31574255     DOI: 10.1016/j.ab.2019.113466

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  1 in total

1.  Cysteine specific bioconjugation with benzyl isothiocyanates.

Authors:  László Petri; Péter A Szijj; Ádám Kelemen; Tímea Imre; Ágnes Gömöry; Maximillian T W Lee; Krisztina Hegedűs; Péter Ábrányi-Balogh; Vijay Chudasama; György Miklós Keserű
Journal:  RSC Adv       Date:  2020-04-16       Impact factor: 4.036

  1 in total

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