Literature DB >> 28454652

Selection, characterization, and application of DNA aptamers for detection of Mycobacterium tuberculosis secreted protein MPT64.

Marzhan Sypabekova1, Aliya Bekmurzayeva1, Ronghui Wang2, Yanbin Li2, Claude Nogues3, Damira Kanayeva4.   

Abstract

Rapid detection of Mycobacterium tuberculosis (Mtb), an etiological agent of tuberculosis (TB), is important for global control of this disease. Aptamers have emerged as a potential rival for antibodies in therapeutics, diagnostics and biosensing due to their inherent characteristics. The aim of the current study was to select and characterize single-stranded DNA aptamers against MPT64 protein, one of the predominant secreted proteins of Mtb pathogen. Aptamers specific to MPT64 protein were selected in vitro using systematic evolution of ligands through exponential enrichment (SELEX) method. The selection was started with a pool of ssDNA library with randomized 40-nucleotide region. A total of 10 cycles were performed and seventeen aptamers with unique sequences were identified by sequencing. Dot Blot analysis was performed to monitor the SELEX process and to conduct the preliminary tests on the affinity and specificity of aptamers. Enzyme linked oligonucleotide assay (ELONA) showed that most of the aptamers were specific to the MPT64 protein with a linear correlation of R2 = 0.94 for the most selective. Using Surface Plasmon Resonance (SPR), dissociation equilibrium constant KD of 8.92 nM was obtained. Bioinformatics analysis of the most specific aptamers revealed the existence of a conserved as well as distinct sequences and possible binding site on MPT64. The specificity was determined by testing non-target ESAT-6 and CFP-10. Negligible cross-reactivity confirmed the high specificity of the selected aptamer. The selected aptamer was further tested on clinical sputum samples using ELONA and had sensitivity and specificity of 91.3% and 90%, respectively. Microscopy, culture positivity and nucleotide amplification methods were used as reference standards. The aptamers studied could be further used for the development of medical diagnostic tools and detection assays for Mtb.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Aptamer; Diagnostics; MPT64; Mycobacterium tuberculosis; SELEX

Mesh:

Substances:

Year:  2017        PMID: 28454652     DOI: 10.1016/j.tube.2017.03.004

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  14 in total

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4.  An aptasensor for the detection of Mycobacterium tuberculosis secreted immunogenic protein MPT64 in clinical samples towards tuberculosis detection.

Authors:  Marzhan Sypabekova; Kanat Dukenbayev; Anna Tsepke; Akmaral Akisheva; Nurlan Oralbayev; Damira Kanayeva
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

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Journal:  Molecules       Date:  2019-11-30       Impact factor: 4.411

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Journal:  EBioMedicine       Date:  2020-09-16       Impact factor: 8.143

Review 7.  Recent Progress in the Identification of Aptamers Against Bacterial Origins and Their Diagnostic Applications.

Authors:  Nevina E Trunzo; Ka Lok Hong
Journal:  Int J Mol Sci       Date:  2020-07-18       Impact factor: 5.923

8.  CFD Modeling of Chamber Filling in a Micro-Biosensor for Protein Detection.

Authors:  Meiirbek Islamov; Marzhan Sypabekova; Damira Kanayeva; Luis Rojas-Solórzano
Journal:  Biosensors (Basel)       Date:  2017-10-03

9.  Towards development of aptamers that specifically bind to lactate dehydrogenase of Plasmodium falciparum through epitopic targeting.

Authors:  Kelly-Anne Frith; Ronen Fogel; J P Dean Goldring; Robert G E Krause; Makobetsa Khati; Heinrich Hoppe; Mary E Cromhout; Meesbah Jiwaji; Janice L Limson
Journal:  Malar J       Date:  2018-05-03       Impact factor: 2.979

10.  Sandwich Electrochemical Immunosensor for Early Detection of Tuberculosis Based on Graphene/Polyaniline-Modified Screen-Printed Gold Electrode.

Authors:  Umi Zulaikha Mohd Azmi; Nor Azah Yusof; Norzila Kusnin; Jaafar Abdullah; Siti Suraiya; Poh Shing Ong; Nurul Hanun Ahmad Raston; Siti Fatimah Abd Rahman; Mohamad Faris Mohamad Fathil
Journal:  Sensors (Basel)       Date:  2018-11-14       Impact factor: 3.576

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