4.7 Article

Aptamer recognition and proximity-induced entropy-driven circuit for enzyme-free and rapid amplified detection of platelet-derived growth factor-BB

Journal

ANALYTICA CHIMICA ACTA
Volume 1092, Issue -, Pages 102-107

Publisher

ELSEVIER
DOI: 10.1016/j.aca.2019.09.046

Keywords

PDGF-BB detection; Aptamer; Proximity; Entropy-driven circuit

Funding

  1. National Natural Science Foundation of China [81702083]
  2. Chongqing Basic and Frontier Research [cstc2016jcyjA0194]
  3. Second Batch of Special Hospitals of Chengdu University of TCM [cstc2018jcyjAX0132]

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Platelet-derived growth factor-BB (PDGF-BB) is currently used as a biomarker protein for cancer early diagnosis and clinical treatment. Herein, we reported a robust and enzyme-free strategy based on aptamer recognition and proximity-induced entropy-driven circuits (AR-PEDC) for homogeneous and rapid detection of platelet-derived growth factor BB (PDGF-BB) without any washing steps or thermo-cycling. The proximity probes specifically recognize target protein to form the completed trigger (CT). Then, the CT reacts with three-strand complex to form intermediate, which subsequently binds to fuel strand to release reporter strand, assistant strand and the CT. The revised proximity probes exhibit significantly improved signal-to-background ratio and faster association rate. Moreover, target protein/proximity probes interaction can specifically initiate entropy-driven circuits, thus providing immense signal amplification for ultrasensitive detection of PDGF-BB with low detection limit of 9.6 pM. The practical ability of the developed strategy is demonstrated by detection of PDGF-BB in human serum with satisfactory results. In addition, this method is flexible and can be conveniently extended to a variety of targets by simply substituting the target specific sequence. Thus, this strategy presents a rapid, low background and versatile amplification mechanism for the detection of protein biomarkers and offers a promising alternative platform for clinical diagnosis. (C) 2019 Elsevier B.V. All rights reserved.

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