Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Single-Molecule Analysis of SARS-CoV-2 Binding to C-Type Lectin Receptors.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • Contributors:
      UCL - SST/LIBST - Louvain Institute of Biomolecular Science and Technology
    • الموضوع:
      2023
    • Collection:
      DIAL@UCL (Université catholique de Louvain)
    • نبذة مختصرة :
      Despite intense scrutiny throughout the pandemic, development of efficacious drugs against SARS-CoV-2 spread remains hindered. Understanding the underlying mechanisms of viral infection is fundamental for developing novel treatments. While angiotensin converting enzyme 2 (ACE2) is accepted as the key entry receptor of the virus, other infection mechanisms exist. Dendritic cell-specific intercellular adhesion molecule-3 grabbing non-integrin (DC-SIGN) and its counterpart DC-SIGN-related (DC-SIGNR, also known as L-SIGN) have been recognized as possessing functional roles in COVID-19 disease and binding to SARS-CoV-2 has been demonstrated previously with ensemble and qualitative techniques. Here we examine the thermodynamic and kinetic parameters of the ligand-receptor interaction between these C-type lectins and the SARS-CoV-2 S1 protein using force-distance curve-based AFM and biolayer interferometry. We evidence that the S1 receptor binding domain is likely involved in this bond formation. Further, we employed deglycosidases and examined a nonglycosylated S1 variant to confirm the significance of glycosylation in this interaction. We demonstrate that the high affinity interactions observed occur through a mechanism distinct from that of ACE2.
    • Relation:
      boreal:284180; http://hdl.handle.net/2078.1/284180; info:pmid/36758952
    • الرقم المعرف:
      10.1021/acs.nanolett.2c04931
    • الدخول الالكتروني :
      http://hdl.handle.net/2078.1/284180
      https://doi.org/10.1021/acs.nanolett.2c04931
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.BD79D8AA