Literature DB >> 27990771

Rapid Visual Screening and Programmable Subtype Classification of Ebola Virus Biomarkers.

Mustafa Balcioglu1, Muhit Rana1, Mustafa Salih Hizir1, Neil M Robertson1, Kashfia Haque1, Mehmet V Yigit1,2.   

Abstract

The massive outbreaks of the highly transmissible and lethal Ebola virus disease were caused by infection with one of the Ebolavirus species. It is vital to develop cost-effective, highly sensitive and selective multitarget biosensing platforms that allow for both the detection and phenotyping. Here, a highly programmable, cost-efficient and multianalyte sensing approach is reported that enables visual detection and differentiation of conserved oligonucleotide regions of all Ebolavirus subtypes known to infect human primates. This approach enables the detection of as little as 400 amols (24 × 106 molecules) of target sequences with the naked eye. Furthermore, the detection assay can be used to classify four virus biomarkers using a single nanoprobe template. This can be achieved by using different combinations of short single stranded initiator molecules, referred to as programming units, which also enable the simultaneous and rapid identification of the four biomarkers in 16 different combinations. The results of 16 × 5 array studies illustrate that the system is extremely selective with no false-positive or false-negative. Finally, the target strands in liquid biopsy mimics prepared from urine specimens are also able to be identified and classified.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  hybridization chain reaction; multitarget detection; nanoparticles; pathogenic oligonucleotides; reprogrammable

Mesh:

Substances:

Year:  2016        PMID: 27990771     DOI: 10.1002/adhm.201600739

Source DB:  PubMed          Journal:  Adv Healthc Mater        ISSN: 2192-2640            Impact factor:   9.933


  1 in total

1.  A centrifugation-assisted visual detection of SNP in circulating tumor DNA using gold nanoparticles coupled with isothermal amplification.

Authors:  Yusong Wang; Say Li Kong; Xiao Di Su
Journal:  RSC Adv       Date:  2020-01-08       Impact factor: 3.361

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.