Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralizing SARS-CoV-2 nanobodies

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Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralizing SARS-CoV-2 nanobodies. / Hanke, Leo; Sheward, Daniel J; Pankow, Alec; Vidakovics, Laura Perez; Karl, Vivien; Kim, Changil; Urgard, Egon; Smith, Natalie L; Astorga-Wells, Juan; Ekström, Simon; Coquet, Jonathan M; McInerney, Gerald M; Murrell, Ben.

In: Science Advances, Vol. 8, No. 12, eabm0220, 2022.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hanke, L, Sheward, DJ, Pankow, A, Vidakovics, LP, Karl, V, Kim, C, Urgard, E, Smith, NL, Astorga-Wells, J, Ekström, S, Coquet, JM, McInerney, GM & Murrell, B 2022, 'Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralizing SARS-CoV-2 nanobodies', Science Advances, vol. 8, no. 12, eabm0220. https://doi.org/10.1126/sciadv.abm0220

APA

Hanke, L., Sheward, D. J., Pankow, A., Vidakovics, L. P., Karl, V., Kim, C., Urgard, E., Smith, N. L., Astorga-Wells, J., Ekström, S., Coquet, J. M., McInerney, G. M., & Murrell, B. (2022). Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralizing SARS-CoV-2 nanobodies. Science Advances, 8(12), [eabm0220]. https://doi.org/10.1126/sciadv.abm0220

Vancouver

Hanke L, Sheward DJ, Pankow A, Vidakovics LP, Karl V, Kim C et al. Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralizing SARS-CoV-2 nanobodies. Science Advances. 2022;8(12). eabm0220. https://doi.org/10.1126/sciadv.abm0220

Author

Hanke, Leo ; Sheward, Daniel J ; Pankow, Alec ; Vidakovics, Laura Perez ; Karl, Vivien ; Kim, Changil ; Urgard, Egon ; Smith, Natalie L ; Astorga-Wells, Juan ; Ekström, Simon ; Coquet, Jonathan M ; McInerney, Gerald M ; Murrell, Ben. / Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralizing SARS-CoV-2 nanobodies. In: Science Advances. 2022 ; Vol. 8, No. 12.

Bibtex

@article{c95e426683ac4e449c19eeec4f5d83f9,
title = "Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralizing SARS-CoV-2 nanobodies",
abstract = "Conventional approaches to isolate and characterize nanobodies are laborious. We combine phage display, multivariate enrichment, next-generation sequencing, and a streamlined screening strategy to identify numerous anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nanobodies. We characterize their potency and specificity using neutralization assays and hydrogen/deuterium exchange mass spectrometry (HDX-MS). The most potent nanobodies bind to the receptor binding motif of the receptor binding domain (RBD), and we identify two exceptionally potent members of this category (with monomeric half-maximal inhibitory concentrations around 13 and 16 ng/ml). Other nanobodies bind to a more conserved epitope on the side of the RBD and are able to potently neutralize the SARS-CoV-2 founder virus (42 ng/ml), the Beta variant (B.1.351/501Y.V2) (35 ng/ml), and also cross-neutralize the more distantly related SARS-CoV-1 (0.46 μg/ml). The approach presented here is well suited for the screening of phage libraries to identify functional nanobodies for various biomedical and biochemical applications.",
keywords = "Animals, Antibodies, Monoclonal/chemistry, Antibodies, Viral, COVID-19, Camelids, New World/metabolism, Humans, Membrane Glycoproteins, Neutralization Tests, SARS-CoV-2, Single-Domain Antibodies, Spike Glycoprotein, Coronavirus, Viral Envelope Proteins/metabolism",
author = "Leo Hanke and Sheward, {Daniel J} and Alec Pankow and Vidakovics, {Laura Perez} and Vivien Karl and Changil Kim and Egon Urgard and Smith, {Natalie L} and Juan Astorga-Wells and Simon Ekstr{\"o}m and Coquet, {Jonathan M} and McInerney, {Gerald M} and Ben Murrell",
year = "2022",
doi = "10.1126/sciadv.abm0220",
language = "English",
volume = "8",
journal = "Science advances",
issn = "2375-2548",
publisher = "American Association for the Advancement of Science",
number = "12",

}

RIS

TY - JOUR

T1 - Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralizing SARS-CoV-2 nanobodies

AU - Hanke, Leo

AU - Sheward, Daniel J

AU - Pankow, Alec

AU - Vidakovics, Laura Perez

AU - Karl, Vivien

AU - Kim, Changil

AU - Urgard, Egon

AU - Smith, Natalie L

AU - Astorga-Wells, Juan

AU - Ekström, Simon

AU - Coquet, Jonathan M

AU - McInerney, Gerald M

AU - Murrell, Ben

PY - 2022

Y1 - 2022

N2 - Conventional approaches to isolate and characterize nanobodies are laborious. We combine phage display, multivariate enrichment, next-generation sequencing, and a streamlined screening strategy to identify numerous anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nanobodies. We characterize their potency and specificity using neutralization assays and hydrogen/deuterium exchange mass spectrometry (HDX-MS). The most potent nanobodies bind to the receptor binding motif of the receptor binding domain (RBD), and we identify two exceptionally potent members of this category (with monomeric half-maximal inhibitory concentrations around 13 and 16 ng/ml). Other nanobodies bind to a more conserved epitope on the side of the RBD and are able to potently neutralize the SARS-CoV-2 founder virus (42 ng/ml), the Beta variant (B.1.351/501Y.V2) (35 ng/ml), and also cross-neutralize the more distantly related SARS-CoV-1 (0.46 μg/ml). The approach presented here is well suited for the screening of phage libraries to identify functional nanobodies for various biomedical and biochemical applications.

AB - Conventional approaches to isolate and characterize nanobodies are laborious. We combine phage display, multivariate enrichment, next-generation sequencing, and a streamlined screening strategy to identify numerous anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nanobodies. We characterize their potency and specificity using neutralization assays and hydrogen/deuterium exchange mass spectrometry (HDX-MS). The most potent nanobodies bind to the receptor binding motif of the receptor binding domain (RBD), and we identify two exceptionally potent members of this category (with monomeric half-maximal inhibitory concentrations around 13 and 16 ng/ml). Other nanobodies bind to a more conserved epitope on the side of the RBD and are able to potently neutralize the SARS-CoV-2 founder virus (42 ng/ml), the Beta variant (B.1.351/501Y.V2) (35 ng/ml), and also cross-neutralize the more distantly related SARS-CoV-1 (0.46 μg/ml). The approach presented here is well suited for the screening of phage libraries to identify functional nanobodies for various biomedical and biochemical applications.

KW - Animals

KW - Antibodies, Monoclonal/chemistry

KW - Antibodies, Viral

KW - COVID-19

KW - Camelids, New World/metabolism

KW - Humans

KW - Membrane Glycoproteins

KW - Neutralization Tests

KW - SARS-CoV-2

KW - Single-Domain Antibodies

KW - Spike Glycoprotein, Coronavirus

KW - Viral Envelope Proteins/metabolism

U2 - 10.1126/sciadv.abm0220

DO - 10.1126/sciadv.abm0220

M3 - Journal article

C2 - 35333580

VL - 8

JO - Science advances

JF - Science advances

SN - 2375-2548

IS - 12

M1 - eabm0220

ER -

ID: 356967727