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Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity
Open accessAbstract
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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“COVID-19 severity has been linked to the incidence of CMV, a primary pathogen associated with memory inflation, but more work is needed to establish how CMV and other latent viruses of the elderly affect new memory T cell formation, function, and longevity146.”
From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [146]
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Citations
Cites
The neighbor-joining method: a new method for reconstructing phylogenetic trees.
Saitou, N., & Nei, M. (1987) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040454 · Cited by 59,959
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy096 · Cited by 37,683
Self-citationA pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
From local explanations to global understanding with explainable AI for trees
Lundberg, S. M., Erion, G., Chen, H., DeGrave, A., Prutkin, J. M., Nair, B., Katz, R., Himmelfarb, J., Bansal, N., & Lee, S.-I. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-019-0138-9 · Cited by 10,551
Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation
Wrapp, D., Wang, N., Corbett, K. S., Goldsmith, J. A., Hsieh, C.-L., Abiona, O., Graham, B. S., & McLellan, J. S. (2020) · Science · doi:10.1126/science.abb2507 · Cited by 8,897
Structure, function and antigenicity of the SARS-CoV-2 spike glycoprotein
Walls, A. C., Park, Y.-J., Tortorici, M. A., Wall, A., McGuire, A. T., & Veesler, D. (2020) · doi:10.1101/2020.02.19.956581 · Cited by 8,586
Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor
Lan, J., Ge, J., Yu, J., Shan, S., Zhou, H., Fan, S., Zhang, Q., Shi, X., Wang, Q., Zhang, L., et al. (2020) · Nature · doi:10.1038/s41586-020-2180-5 · Cited by 5,983
Origin and evolution of pathogenic coronaviruses
Cui, J., Li, F., & Shi, Z. (2018) · Nature Reviews Microbiology · doi:10.1038/s41579-018-0118-9 · Cited by 5,729
Prospects for inferring very large phylogenies by using the neighbor-joining method
Tamura, K., Nei, M., & Kumar, S. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0404206101 · Cited by 5,588
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing
Gordon, D. E., Jang, G. M., Bouhaddou, M., Xu, J., Obernier, K., White, K. M., O’Meara, M. J., Rezelj, V. V., Guo, J. Z., Swaney, D. L., et al. (2020) · Nature · doi:10.1038/s41586-020-2286-9 · Cited by 4,405
Grifoni, A., Weiskopf, D., Ramirez, S. I., Mateus, J., Dan, J. M., Moderbacher, C. R., Rawlings, S. A., Sutherland, A., Premkumar, L., Jadi, R. S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.015 · Cited by 3,595
Garg, S., Kim, L., Whitaker, M., O’Halloran, A., Cummings, C., Holstein, R., Prill, M., Chai, S. J., Kirley, P. D., Alden, N. B., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6915e3 · Cited by 2,335
COVID-19 pathophysiology: A review
Yuki, K., Shibamura‐Fujiogi, M., & Koutsogiannaki, S. (2020) · Clinical Immunology · doi:10.1016/j.clim.2020.108427 · Cited by 2,286
COVID-19 and Racial/Ethnic Disparities
Hooper, M. W., Nápoles, A. M., & Pérez‐Stable, E. J. (2020) · JAMA · doi:10.1001/jama.2020.8598 · Cited by 2,080
SARS-CoV-2-specific T cell immunity in cases of COVID-19 and SARS, and uninfected controls
Le Bert, N., Tan, A. T., Kunasegaran, K., Tham, C. Y. L., Hafezi, M., Chia, A., Chng, M. H. Y., Lin, M., Tan, N., Linster, M., et al. (2020) · Nature · doi:10.1038/s41586-020-2550-z · Cited by 1,887
BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes
Jespersen, M. C., Peters, B., Nielsen, M., & Marcatili, P. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx346 · Cited by 1,739
A human neutralizing antibody targets the receptor-binding site of SARS-CoV-2
Shi, R., Shan, C., Duan, X., Chen, Z., Liu, P., Song, J., Song, T., Bi, X., Han, C., Wu, L., et al. (2020) · Nature · doi:10.1038/s41586-020-2381-y · Cited by 1,286
Ahn, D., Shin, H.-J., Kim, M.-H., Lee, S.-H., Kim, H.-S., Myoung, J., Kim, B., & Kim, S. (2020) · Journal of Microbiology and Biotechnology · doi:10.4014/jmb.2003.03011 · Cited by 1,033
Chan, J. F., Lau, S. K. P., To, K. K., Cheng, V. C., Woo, P. C. Y., & Yuen, K. (2015) · Clinical Microbiology Reviews · doi:10.1128/cmr.00102-14 · Cited by 894
Causes, consequences, and reversal of immune system aging
Montecino-Rodriguez, E., Berent-Maoz, B., & Dorshkind, K. (2013) · Journal of Clinical Investigation · doi:10.1172/jci64096 · Cited by 793 · cited 2×
“Advanced age is a dominant risk factor for severe COVID-19 and is correlated with reduced immune function (20).”
BackgroundResultBate, S. L., Dollard, S. C., & Cannon, M. J. (2010) · Clinical Infectious Diseases · doi:10.1086/652438 · Cited by 683
Molecular Mechanism for Antibody-Dependent Enhancement of Coronavirus Entry
Wan, Y., Shang, J., Sun, S., Tai, W., Chen, J., Geng, Q., He, L., Chen, Y., Wu, J., Shi, Z., et al. (2019) · Journal of Virology · doi:10.1128/jvi.02015-19 · Cited by 673
Self-citationComprehensive serological profiling of human populations using a synthetic human virome
Xu, G. J., Kula, T., Xu, Q., Li, M. Z., Vernon, S. D., Ndung’u, T., Ruxrungtham, K., Sánchez, J., Brander, C., Chung, R. T., et al. (2015) · Science · doi:10.1126/science.aaa0698 · Cited by 487
Self-citationMeasles virus infection diminishes preexisting antibodies that offer protection from other pathogens
Mina, M. J., Kula, T., Leng, Y., Li, M., de Vries, R. D., Knip, M., Siljander, H., Rewers, M., Choy, D. F., Wilson, M. S., et al. (2019) · Science · doi:10.1126/science.aay6485 · Cited by 466
Self-citationVirus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor
Zhao, P., Praissman, J. L., Grant, O. C., Cai, Y., Xiao, T., Rosenbalm, K. E., Aoki, K., Kellman, B. P., Bridger, R., Barouch, D. H., et al. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.08.004 · Cited by 450
Antibody-dependent SARS coronavirus infection is mediated by antibodies against spike proteins
Wang, S., Tseng, S., Yen, C., Yang, J.-Y., Tsao, C.-H., Shen, C.-W., Chen, K.-H., Liu, F., Liu, W.-T., Chen, Y. A., et al. (2014) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2014.07.090 · Cited by 417
Self-citationPoh, C. M., Carissimo, G., Wang, B., Amrun, S. N., Lee, C. Y., Chee, R. S., Fong, S., Yeo, N. K., Lee, W.-H., Torres‐Ruesta, A., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16638-2 · Cited by 379
Autoantigen discovery with a synthetic human peptidome
Larman, H. B., Zhao, Z., Laserson, U., Li, M. Z., Ciccia, A., Gakidis, M. A. M., Church, G. M., Kesari, S., LeProust, E. M., Solimini, N. L., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1856 · Cited by 354
Self-citationDong, E., Ratcliff, J., Goyea, T. D., Katz, A., Lau, R., Ng, T. K., Garcia, B., Bolt, E., Prata, S., Zhang, D., et al. (2022) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(22)00434-0 · Cited by 299
Cytomegalovirus infection is associated with increased mortality in the older population
Savva, G. M., Pachnio, A., Kaul, B., Morgan, K., Huppert, F. A., Brayne, C., & Moss, P. A. H. (2013) · Aging Cell · doi:10.1111/acel.12059 · Cited by 216
PhIP-Seq characterization of serum antibodies using oligonucleotide-encoded peptidomes
Mohan, D., Wansley, D. L., Sie, B. M., Noon, M. S., Baer, A. N., Laserson, U., & Larman, H. B. (2018) · Nature Protocols · doi:10.1038/s41596-018-0025-6 · Cited by 192
Self-citationLiwo, A., Kamierkiewicz, R., Czaplewski, C. R., Groth, M., dziej, S. O., Wawak, R. J., Rackovsky, S. R., Pincus, M. R., & Scheraga, H. A. (1998) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(199802)19:3 · Cited by 172
Prevalence of Antibodies to Four Human Coronaviruses Is Lower in Nasal Secretions than in Serum
Gorse, G. J., Patel, G. B., Vitale, J. N., & O’Connor, T. (2010) · Clinical and Vaccine Immunology · doi:10.1128/cvi.00278-10 · Cited by 166
Cytomegalovirus (CMV) seroprevalence in the adult population of Germany
Lachmann, R., Loenenbach, A. D., Waterboer, T., Brenner, N., Pawlita, M., Michel, A., Thamm, M., Poethko‐Müller, C., Wichmann, O., & Wiese‐Posselt, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0200267 · Cited by 158
Craigen, J. L., Yong, K., Jordan, N., MacCormac, L. P., Westwick, J. K., Akbar, A. N., & Grundy, J. E. (1997) · Immunology · doi:10.1046/j.1365-2567.1997.00310.x · Cited by 111
Immunosenescence, suppression and tumour progression
Pawelec, G., Koch, S. D., Griesemann, H., Rehbein, A., Hähnel, K., & Gouttefangeas, C. (2005) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-005-0109-3 · Cited by 54
Johnson, W. E. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.06.016 · Cited by 29
CMV and the Art of Memory Maintenance
Klenerman, P., & Dunbar, P. R. (2008) · Immunity · doi:10.1016/j.immuni.2008.09.008 · Cited by 19
A universal method for the functionalization of dyed magnetic microspheres with peptides
Coppock, M. B., & Stratis‐Cullum, D. N. (2019) · Methods · doi:10.1016/j.ymeth.2019.01.014 · Cited by 9
Flagged first, then by citations
Research works printed but not linked: 2
- National Center for Biotechnology Information National Library of Medicine Protein database (2004) [cited 29 February 2020]; www.ncbi.nlm.nih.gov/protein/.
- 10.1016/j.cell.2020.02.058 · DOI · Paper page
Cited by
Sorted by citations
SARS-CoV-2 variants, spike mutations and immune escape
Harvey, W. T., Carabelli, A. M., Jackson, B., Gupta, R. K., Thomson, E. C., Harrison, E. M., Ludden, C., Reeve, R., Rambaut, A., COVID-19 Genomics UK (COG-UK) Consortium, et al. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00573-0 · Cited by 3,528
Adaptive immunity to SARS-CoV-2 and COVID-19
Sette, A., & Crotty, S. (2021) · Cell · doi:10.1016/j.cell.2021.01.007 · Cited by 1,860
SARS-CoV-2 evolution during treatment of chronic infection
Kemp, S. A., Collier, D. A., Datir, R. P., Ferreira, I. A. T. M., Gayed, S., Jahun, A., Hosmillo, M., Rees-Spear, C., Mlcochova, P., Lumb, I. U., et al. (2021) · Nature · doi:10.1038/s41586-021-03291-y · Cited by 1,097
Preexisting and de novo humoral immunity to SARS-CoV-2 in humans
Ng, K. W., Faulkner, N., Cornish, G. H., Rosa, A., Harvey, R., Hussain, S., Ulferts, R., Earl, C., Wrobel, A. G., Benton, D. J., et al. (2020) · Science · doi:10.1126/science.abe1107 · Cited by 886
COVID-19 Neutralizing Antibodies Predict Disease Severity and Survival
García-Beltrán, W. F., Lam, E. C., Astudillo, M. G., Yang, D., Miller, T. E., Feldman, J. E., Hauser, B. M., Caradonna, T. M., Clayton, K., Nitido, A. D., et al. (2020) · Cell · doi:10.1016/j.cell.2020.12.015 · Cited by 708
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Metadata
- 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
- Published
- 2020-11-27
- Volume
- 370
- Issue
- 6520
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- 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
- 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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