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GlycoGrip: Cell Surface-Inspired Universal Sensor for Betacoronaviruses

  • Sang Hoon Kim
  • , Fiona L. Kearns
  • , Mia A. Rosenfeld
  • , Lorenzo Casalino
  • , Micah J. Papanikolas
  • , Carlos Simmerling
  • , Rommie E. Amaro
  • , Ronit Freeman
  • Department of Applied Physical Sciences
  • University of California at San Diego

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

Inspired by the role of cell-surface glycoproteins as coreceptors for pathogens, we report the development of GlycoGrip: a glycopolymer-based lateral flow assay for detecting SARS-CoV-2 and its variants. GlycoGrip utilizes glycopolymers for primary capture and antispike antibodies labeled with gold nanoparticles for signal-generating detection. A lock-step integration between experiment and computation has enabled efficient optimization of GlycoGrip test strips which can selectively, sensitively, and rapidly detect SARS-CoV-2 and its variants in biofluids. Employing the power of the glycocalyx in a diagnostic assay has distinct advantages over conventional immunoassays as glycopolymers can bind to antigens in a multivalent capacity and are highly adaptable for mutated strains. As new variants of SARS-CoV-2 are identified, GlycoGrip will serve as a highly reconfigurable biosensor for their detection. Additionally, via extensive ensemble-based docking simulations which incorporate protein and glycan motion, we have elucidated important clues as to how heparan sulfate and other glycocalyx components may bind the spike glycoprotein during SARS-CoV-2 host-cell infection. GlycoGrip is a promising and generalizable alternative to costly, labor-intensive RT-PCR, and we envision it will be broadly useful, including for rural or low-income populations that are historically undertested and under-reported in infection statistics.

Original languageEnglish
Pages (from-to)22-42
Number of pages21
JournalACS Central Science
Volume8
Issue number1
DOIs
StatePublished - Jan 26 2022

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