Show simple item record

dc.contributor.authorMoitra, Parikshit
dc.contributor.authorChaichi, Ardalan
dc.contributor.authorAbid Hasan, Syed Mohammad
dc.contributor.authorDighe, Ketan
dc.contributor.authorAlafeef, Maha
dc.contributor.authorPrasad, Alisha
dc.contributor.authorGartia, Manas Ranjan
dc.contributor.authorPan, Dipanjan
dc.date.accessioned2022-04-11T16:17:06Z
dc.date.available2022-04-11T16:17:06Z
dc.date.issued2022-03-22
dc.identifier.urihttp://hdl.handle.net/10713/18539
dc.description.abstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolution has been characterized by the emergence of sets of mutations impacting the virus characteristics, such as transmissibility and antigenicity, presumably in response to the changing immune profile of the human population. The presence of mutations in the SARS-CoV-2 virus can potentially impact therapeutic and diagnostic test performances. We design and develop here a unique set of DNA probes i.e., antisense oligonucleotides (ASOs) which can interact with genetic sequences of the virus irrespective of its ongoing mutations. The probes, developed herein, target a specific segment of the nucleocapsid phosphoprotein (N) gene of SARS-CoV-2 with high binding efficiency which do not mutate among the known variants. Further probing into the interaction profile of the ASOs reveals that the ASO-RNA hybridization remains unaltered even for a hypothetical single point mutation at the target RNA site and diminished only in case of the hypothetical double or triple point mutations. The mechanism of interaction among the ASOs and SARS-CoV-2 RNA is then explored with a combination of surface-enhanced Raman scattering (SERS) and machine learning techniques. It has been observed that the technique, described herein, could efficiently discriminate between clinically positive and negative samples with ∼100% sensitivity and ∼90% specificity up to 63 copies/mL of SARS-CoV-2 RNA concentration. Thus, this study establishes N gene targeted ASOs as the fundamental machinery to efficiently detect all the current SARS-CoV-2 variants regardless of their mutations.en_US
dc.description.urihttps://doi.org/10.1016/j.bios.2022.114200en_US
dc.language.isoenen_US
dc.relation.ispartofBiosensors & Bioelectronicsen_US
dc.rightsCopyright © 2022 Elsevier B.V. All rights reserved.en_US
dc.subjectSARS-CoV-2 variantsen_US
dc.subjectsurface-enhanced Raman scatteringen_US
dc.subjectselective and ultrasensitive diagnosisen_US
dc.subjectmutation resistant probeen_US
dc.subject.meshOligonucleotides, Antisenseen_US
dc.titleProbing the mutation independent interaction of DNA probes with SARS-CoV-2 variants through a combination of surface-enhanced Raman scattering and machine learningen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.bios.2022.114200
dc.identifier.pmid35367703
dc.source.journaltitleBiosensors & bioelectronics
dc.source.volume208
dc.source.beginpage114200
dc.source.endpage
dc.source.countryEngland


Files in this item

Thumbnail
Name:
Publisher version

This item appears in the following Collection(s)

Show simple item record