Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity
Authors: 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 
Published: September 2020

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
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