DNA aptamer selection and construction of an aptasensor based on graphene FETs for Zika virus NS1 protein detection

Nathalie B. F. Almeida*, Thiago A. S. L. Sousa, Viviane C. F. Santos, Camila M. S. Lacerda, Thais G. Silva, Rafaella F. Q. Grenfell, Flavio Plentz, Antero S. R. Andrade

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Zika virus (ZIKV) is a mosquito-borne virus that is phylogenetically close to other medically important flaviviruses with high global public health significance, such as dengue (DENV) and yellow fever (YFV) viruses. Correct diagnosis of a flavivirus infec-tion can be challenging, particularly in world regions where more than one flavivirus co-circulates and YFV vaccination is manda-tory. Acid nucleic aptamers are oligonucleotides that bind to a specific target molecule with high affinity and specificity. Because of their unique characteristics, aptamers are promising tools for biosensor development. Aptamers are usually obtained through a procedure called & ldquo;systematic evolution of ligands by exponential enrichment & rdquo; (SELEX). In this study, we select an aptamer (termed ZIKV60) by capillary electrophoresis SELEX (CE-SELEX) to the Zika virus non-structural protein 1 (NS1) and counterselection against the NS1 proteins of DENV (serotypes 1, 2, 3, and 4) and YFV. The ZIKV60 dissociation constant (Kd) is determined by en-zyme-linked oligonucleotide assay (ELONA) and the aptamer specificity is evaluated by quantitative real-time polymerase chain reaction. ZIKV60 shows a high binding affinity to the ZIKV NS1 protein with a Kd value of 2.28 +/- 0.28 nM. The aptamer presents high specificity for ZIKV NS1 compared to NS1 of DENV and YFV. Furthermore, graphene field-effect transistor devices functio-nalized with ZIKV60 exhibit an evident identification of NS1 protein diluted in human serum. These results point to the applicabili-ty of biosensors based on the ZIKV60 aptamer for the differential diagnosis of the Zika virus.Superscript/Subscript Available
Original languageEnglish
JournalBeilstein Journal of Nanotechnology
Volume13
Pages (from-to)873-881
ISSN2190-4286
DOIs
Publication statusPublished - 2022

Keywords

  • Aptamer
  • Biosensor
  • Graphene
  • NS1 protein
  • Zika virus

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