Antibody escape and cryptic cross-domain stabilization in the SARS-CoV-2 Omicron spike protein.
Antibody escape and cryptic cross-domain stabilization in the SARS-CoV-2 Omicron spike protein.
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DOI:
10.1016/j.chom.2022.07.016
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发表时间:
2022-09-14
影响因子:
30.3
通讯作者:
Gollihar, Jimmy D.
中科院分区:
文献类型:
--
作者:
Javanmardi, Kamyab;Segall-Shapiro, Thomas H.;Chou, Chia-Wei;Boutz, Daniel R.;Olsen, Randall J.;Xie, Xuping;Xia, Hongjie;Shi, Pei-Yong;Johnson, Charlie D.;Annapareddy, Ankur;Weaver, Scott;Musser, James M.;Ellington, Andrew D.;Finkelstein, Ilya J.;Gollihar, Jimmy D.
The worldwide spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to the repeated emergence of variants of concern. For the Omicron variant, sub-lineages BA.1 and BA.2, respectively, contain 33 and 29 nonsynonymous and indel spike protein mutations. These amino acid substitutions and indels are implicated in increased transmissibility and enhanced immune evasion. By reverting individual spike mutations of BA.1 or BA.2, we characterize the molecular effects of the Omicron spike mutations on expression, ACE2 receptor affinity, and neutralizing antibody recognition. We identified key mutations enabling escape from neutralizing antibodies at a variety of epitopes. Stabilizing mutations in the N-terminal and S2 domains of the spike protein can compensate for destabilizing mutations in the receptor binding domain, enabling the record number of mutations in Omicron. Our results provide a comprehensive account of the mutational effects in the Omicron spike protein and illustrate previously uncharacterized mechanisms of host evasion. The Omicron BA.1 and BA.2 variants have unprecedented numbers of nonsynonymous and indel spike protein mutations. Javanmardi et al. report the antigenicity, expression, and hACE2 affinity changes due to these mutations, in different protein contexts. This study reveals cryptic cross-domain interactions that enhance antibody escape and stabilize the spike protein.
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影响因子:
16.6
作者:
Greaney AJ;Starr TN;Barnes CO;Weisblum Y;Schmidt F;Caskey M;Gaebler C;Cho A;Agudelo M;Finkin S;Wang Z;Poston D;Muecksch F;Hatziioannou T;Bieniasz PD;Robbiani DF;Nussenzweig MC;Bjorkman PJ;Bloom JD
通讯作者:
Bloom JD
影响因子:
8.8
作者:
Cerutti G;Guo Y;Liu L;Liu L;Zhang Z;Luo Y;Huang Y;Wang HH;Ho DD;Sheng Z;Shapiro L
通讯作者:
Shapiro L
影响因子:
16
作者:
Javanmardi K;Chou CW;Terrace CI;Annapareddy A;Kaoud TS;Guo Q;Lutgens J;Zorkic H;Horton AP;Gardner EC;Nguyen G;Boutz DR;Goike J;Voss WN;Kuo HC;Dalby KN;Gollihar JD;Finkelstein IJ
通讯作者:
Finkelstein IJ
影响因子:
64.8
作者:
Barnes CO;Jette CA;Abernathy ME;Dam KA;Esswein SR;Gristick HB;Malyutin AG;Sharaf NG;Huey-Tubman KE;Lee YE;Robbiani DF;Nussenzweig MC;West AP Jr;Bjorkman PJ
通讯作者:
Bjorkman PJ
DOI:
10.1126/science.abg3055
发表时间:
2021-04-09
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Davies NG;Abbott S;Barnard RC;Jarvis CI;Kucharski AJ;Munday JD;Pearson CAB;Russell TW;Tully DC;Washburne AD;Wenseleers T;Gimma A;Waites W;Wong KLM;van Zandvoort K;Silverman JD;CMMID COVID-19 Working Group;COVID-19 Genomics UK (COG-UK) Consortium;Diaz-Ordaz K;Keogh R;Eggo RM;Funk S;Jit M;Atkins KE;Edmunds WJ
通讯作者:
Edmunds WJ