Your browser doesn't support javascript.
Probing Affinity, Avidity, Anticooperativity, and Competition in Antibody and Receptor Binding to the SARS-CoV-2 Spike by Single Particle Mass Analyses.
Yin, Victor; Lai, Szu-Hsueh; Caniels, Tom G; Brouwer, Philip J M; Brinkkemper, Mitch; Aldon, Yoann; Liu, Hejun; Yuan, Meng; Wilson, Ian A; Sanders, Rogier W; van Gils, Marit J; Heck, Albert J R.
  • Yin V; Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.
  • Lai SH; Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, The Netherlands.
  • Caniels TG; Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.
  • Brouwer PJM; Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, The Netherlands.
  • Brinkkemper M; Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, Location AMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
  • Aldon Y; Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, Location AMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
  • Liu H; Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, Location AMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
  • Yuan M; Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, Location AMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
  • Wilson IA; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California 92037, United States.
  • Sanders RW; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California 92037, United States.
  • van Gils MJ; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California 92037, United States.
  • Heck AJR; Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California 92037, United States.
ACS Cent Sci ; 7(11): 1863-1873, 2021 Nov 24.
Article in English | MEDLINE | ID: covidwho-1526050
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
Determining how antibodies interact with the spike (S) protein of the SARS-CoV-2 virus is critical for combating COVID-19. Structural studies typically employ simplified, truncated constructs that may not fully recapitulate the behavior of the original complexes. Here, we combine two single particle mass analysis techniques (mass photometry and charge-detection mass spectrometry) to enable the measurement of full IgG binding to the trimeric SARS-CoV-2 S ectodomain. Our experiments reveal that antibodies targeting the S-trimer typically prefer stoichiometries lower than the symmetry-predicted 31 binding. We determine that this behavior arises from the interplay of steric clashes and avidity effects that are not reflected in common antibody constructs (i.e., Fabs). Surprisingly, these substoichiometric complexes are fully effective at blocking ACE2 binding despite containing free receptor binding sites. Our results highlight the importance of studying antibody/antigen interactions using complete, multimeric constructs and showcase the utility of single particle mass analyses in unraveling these complex interactions.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: ACS Cent Sci Year: 2021 Document Type: Article Affiliation country: Acscentsci.1c00804

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: ACS Cent Sci Year: 2021 Document Type: Article Affiliation country: Acscentsci.1c00804