Cited by 678SARS-CoV-2 and COVID-19 ResearchSARS-CoV-2 detection and testingvaccines and immunoinformatics approaches

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Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity

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Shrock, Ellen, Fujimura, Eric, Kula, Tomasz, Timms, Richard T., Lee, I-Hsiu, Leng, Yumei, Robinson, Matthew L., Sie, Brandon M., Li, Mamie Z., Chen, Yuezhou, Logue, Jennifer, Zuiani, Adam, McCulloch, Denise, Lelis, Felipe J. N., Henson, Stephanie, Monaco, Daniel R., Travers, Meghan, Habibi, Shaghayegh, Clarke, William A., Caturegli, Patrizio, Laeyendecker, Oliver, Piechocka-Trocha, Alicja, Li, Jonathan Z., Khatri, Ashok, Chu, Helen Y., MGH COVID-19 Collection & Processing Team, Villani, Alexandra-Chloé, Kays, Kyle, Goldberg, Marcia B., Hacohen, Nir, Filbin, Michael R., Yu, Xu G., Walker, Bruce D., Wesemann, Duane R., Larman, H. Benjamin, Lederer, James A., Elledge, Stephen J., Lavin-Parsons, Kendall, Parry, Blair, Lilley, Brendan, Lodenstein, Carl, McKaig, Brenna, Charland, Nicole, Khanna, Hargun, Margolin, Justin, Gonye, Anna, Gushterova, Irena, Lasalle, Tom, Sharma, Nihaarika, Russo, Brian C., Rojas-Lopez, Maricarmen, Sade-Feldman, Moshe, Manakongtreecheep, Kasidet, Tantivit, Jessica, Thomas, Molly Fisher, Abayneh, Betelihem A., Allen, Patrick, Antille, Diane, Armstrong, Katrina, Boyce, Siobhan, Braley, Joan, Branch, Karen, Broderick, Katherine, Carney, Julia, Chan, Andrew, Davidson, Susan, Dougan, Michael, Drew, David, Elliman, Ashley, Flaherty, Keith, Flannery, Jeanne, Forde, Pamela, Gettings, Elise, Griffin, Amanda, Grimmel, Sheila, Grinke, Kathleen, Hall, Kathryn, Healy, Meg, Henault, Deborah, Holland, Grace, Kayitesi, Chantal, LaValle, Vlasta, Lu, Yuting, Luthern, Sarah, Marchewka (Schneider), Jordan, Martino, Brittani, McNamara, Roseann, Nambu, Christian, Nelson, Susan, Noone, Marjorie, Ommerborn, Christine, Pacheco, Lois Chris, Phan, Nicole, Porto, Falisha A., Ryan, Edward, Selleck, Kathleen, Slaughenhaupt, Sue, Sheppard, Kimberly Smith, Suschana, Elizabeth, Wilson, Vivine, Alter, Galit, Balazs, Alejandro, Bals, Julia, Barbash, Max, Bartsch, Yannic, Boucau, Julie, Chevalier, Josh, Chowdhury, Fatema, Einkauf, Kevin, Fallon, Jon, Fedirko, Liz, Finn, Kelsey, Garcia-Broncano, Pilar, Hartana, Ciputra, Jiang, Chenyang, Kaplonek, Paulina, Karpell, Marshall, Lam, Evan C., Lefteri, Kristina, Lian, Xiaodong, Lichterfeld, Mathias, Lingwood, Daniel, Liu, Hang, Liu, Jinqing, Ly, Natasha, Michell, Ashlin, Millstrom, Ilan, Miranda, Noah, O’Callaghan, Claire, Osborn, Matthew, Pillai, Shiv, Rassadkina, Yelizaveta, Reissis, Alexandra, Ruzicka, Francis, Seiger, Kyra, Sessa, Libera, Sharr, Christianne, Shin, Sally, Singh, Nishant, Sun, Weiwei, Sun, Xiaoming, Ticheli, Hannah, Trocha-Piechocka, Alicja, Worrall, Daniel, Zhu, Alex, Daley, George, Golan, David, Heller, Howard, Sharpe, Arlene, Jilg, Nikolaus, Rosenthal, Alex, Wong, Colline·2020·Science

DOI 10.1126/science.abd4250PMC PMC7857405

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Abstract

Profiling coronaviruses: Among the coronaviruses that infect humans, four cause mild common colds, whereas three others, including the currently circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), result in severe infections. Shrock et al. used a technology known as VirScan to probe the antibody repertoires of hundreds of coronavirus disease 2019 (COVID-19) patients and pre–COVID-19 era controls. They identified hundreds of antibody targets, including several antibody epitopes shared by the mild and severe coronaviruses and many specific to SARS-CoV-2. A machine-learning model accurately classified patients infected with SARS-CoV-2 and guided the design of an assay for rapid SARS-CoV-2 antibody detection. The study also looked at how the antibody response and viral exposure history differ in patients with diverging outcomes, which could inform the production of improved vaccine and antibody therapies. Science , this issue p. eabd4250

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Authors: Shrock, E., Fujimura, E., Kula, T., Timms, R. T., Lee, I.-H., Leng, Y., Robinson, M. L., Sie, B. M., Li, M. Z., Chen, Y., Logue, J., Zuiani, A., McCulloch, D., Lelis, F. J. N., Henson, S., Monaco, D. R., Travers, M., Habibi, S., Clarke, W. A., Caturegli, P., Laeyendecker, O., Piechocka-Trocha, A., Li, J. Z., Khatri, A., Chu, H. Y., MGH COVID-19 Collection & Processing Team, Villani, A.-C., Kays, K., Goldberg, M. B., Hacohen, N., Filbin, M. R., Yu, X. G., Walker, B. D., Wesemann, D. R., Larman, H. B., Lederer, J. A., Elledge, S. J., Lavin-Parsons, K., Parry, B., Lilley, B., Lodenstein, C., McKaig, B., Charland, N., Khanna, H., Margolin, J., Gonye, A., Gushterova, I., Lasalle, T., Sharma, N., Russo, B. C., Rojas-Lopez, M., Sade-Feldman, M., Manakongtreecheep, K., Tantivit, J., Thomas, M. F., Abayneh, B. A., Allen, P., Antille, D., Armstrong, K., Boyce, S., Braley, J., Branch, K., Broderick, K., Carney, J., Chan, A., Davidson, S., Dougan, M., Drew, D., Elliman, A., Flaherty, K., Flannery, J., Forde, P., Gettings, E., Griffin, A., Grimmel, S., Grinke, K., Hall, K., Healy, M., Henault, D., Holland, G., Kayitesi, C., LaValle, V., Lu, Y., Luthern, S., Marchewka (Schneider), J., Martino, B., McNamara, R., Nambu, C., Nelson, S., Noone, M., Ommerborn, C., Pacheco, L. C., Phan, N., Porto, F. A., Ryan, E., Selleck, K., Slaughenhaupt, S., Sheppard, K. S., Suschana, E., Wilson, V., Alter, G., Balazs, A., Bals, J., Barbash, M., Bartsch, Y., Boucau, J., Chevalier, J., Chowdhury, F., Einkauf, K., Fallon, J., Fedirko, L., Finn, K., Garcia-Broncano, P., Hartana, C., Jiang, C., Kaplonek, P., Karpell, M., Lam, E. C., Lefteri, K., Lian, X., Lichterfeld, M., Lingwood, D., Liu, H., Liu, J., Ly, N., Michell, A., Millstrom, I., Miranda, N., O’Callaghan, C., Osborn, M., Pillai, S., Rassadkina, Y., Reissis, A., Ruzicka, F., Seiger, K., Sessa, L., Sharr, C., Shin, S., Singh, N., Sun, W., Sun, X., Ticheli, H., Trocha-Piechocka, A., Worrall, D., Zhu, A., Daley, G., Golan, D., Heller, H., Sharpe, A., Jilg, N., Rosenthal, A., & Wong, C.
Affiliations: Brigham and Women's Hospital (US)
Harvard University (US)
Johns Hopkins University (US)
University of Washington (US)
National Institutes of Health (US)
Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA.
Massachusetts General Hospital (US)
Howard Hughes Medical Institute (US)
Corresponding author: Shrock, Ellen
Fujimura, Eric
Kula, Tomasz
Timms, Richard T.
Elledge, Stephen J.
ORCID: Shrock, Ellen
Fujimura, Eric
Kula, Tomasz
Timms, Richard T.
Lee, I-Hsiu
Leng, Yumei
Robinson, Matthew L.
Sie, Brandon M.
Li, Mamie Z.
Chen, Yuezhou
Logue, Jennifer
Zuiani, Adam
McCulloch, Denise
Lelis, Felipe J. N.
Henson, Stephanie
Travers, Meghan
Habibi, Shaghayegh
Clarke, William A.
Caturegli, Patrizio
Laeyendecker, Oliver
Piechocka-Trocha, Alicja
Li, Jonathan Z.
Khatri, Ashok
Chu, Helen Y.
Villani, Alexandra-Chloé
Goldberg, Marcia B.
Hacohen, Nir
Filbin, Michael R.
Yu, Xu G.
Walker, Bruce D.
Wesemann, Duane R.
Larman, H. Benjamin
Elledge, Stephen J.
Parry, Blair
Lilley, Brendan
McKaig, Brenna
Charland, Nicole
Khanna, Hargun
Margolin, Justin
Gonye, Anna
Gushterova, Irena
Russo, Brian C.
Sade-Feldman, Moshe
Manakongtreecheep, Kasidet
Tantivit, Jessica
Thomas, Molly Fisher
Dougan, Michael
Flaherty, Keith
Hall, Kathryn
Healy, Meg
Lu, Yuting
Martino, Brittani
Phan, Nicole
Ryan, Edward
Suschana, Elizabeth
Alter, Galit
Balazs, Alejandro
Bals, Julia
Bartsch, Yannic
Boucau, Julie
Chowdhury, Fatema
Einkauf, Kevin
Hartana, Ciputra
Jiang, Chenyang
Lam, Evan C.
Lian, Xiaodong
Lichterfeld, Mathias
Lingwood, Daniel
Liu, Hang
Michell, Ashlin
Osborn, Matthew
Pillai, Shiv
Rassadkina, Yelizaveta
Seiger, Kyra
Sessa, Libera
Shin, Sally
Singh, Nishant
Sun, Weiwei
Sun, Xiaoming
Worrall, Daniel
Zhu, Alex
Daley, George
Heller, Howard
Sharpe, Arlene
Jilg, Nikolaus
Venue: Science
Publisher: American Association for the Advancement of Science (AAAS)
Published: 2020-11-27
Volume: 370
Issue: 6520
ISSN: 0036-8075 (ISSN-L)
1095-9203
DOI: 10.1126/science.abd4250
PMC: PMC7857405
OpenAlex: W3091214020
Cited by: 678
References: 38
Citations by year: 2026: 31 · 2025: 44 · 2024: 67 · 2023: 105 · 2022: 156 · 2021: 236 · 2020: 39
FWCI: 17.56
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Science (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Funders: National Institutes of Health (AI139538)
National Cancer Institute (U24)
MassCPR (No Number)
U.S. Department of Defense (W81XWH-16-1-0464)
Topics: Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
Keywords: SARS-CoV-2, COVID-19 pandemic, humoral immune response, cross-reactive antibodies, neutralizing antibodies, spike protein, nucleocapsid protein, ORF1, pre-existing antibodies, disease severity, cytomegalovirus, herpes simplex virus type 1, sex differences in antibody response, hospitalized patients
MeSH terms: Seroconversion, COVID-19, SARS-CoV-2, COVID-19 Serological Testing, Antibody Formation, Epitopes, Cross Reactions, Female, Humans, Male, Protein Conformation, Severity of Illness Index, Epitope Mapping, Cryoelectron Microscopy, Antibodies, Neutralizing

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Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity

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