Back

Mapping the Immunodominance Landscape of SARS-CoV-2 Spike Protein for the Design of Vaccines against COVID-19

Huang, J.-D.; Zhang, B.-z.; Hu, Y.-f.

2020-04-24 microbiology
10.1101/2020.04.23.056853 bioRxiv
Show abstract

The ongoing coronavirus disease 2019 (COVID-19) pandemic is a serious threat to global public health, and imposes severe burdens on the entire human society. The severe acute respiratory syndrome (SARS) coronavirus-2 (SARS-CoV-2) can cause severe respiratory illness and death. Currently, there are no specific antiviral drugs that can treat COVID-19. Several vaccines against SARS-CoV-2 are being actively developed by research groups around the world. The surface S (spike) protein and the highly expressed internal N (nucleocapsid) protein of SARS-CoV-2 are widely considered as promising candidates for vaccines. In order to guide the design of an effective vaccine, we need experimental data on these potential epitope candidates. In this study, we mapped the immunodominant (ID) sites of S protein using sera samples collected from recently discharged COVID-19 patients. The SARS-CoV-2 S protein-specific antibody levels in the sera of recovered COVID-19 patients were strongly correlated with the neutralising antibody titres. We used epitope mapping to determine the landscape of ID sites of S protein, which identified nine linearized B cell ID sites. Four out of the nine ID sites were found in the receptor-binding domain (RBD). Further analysis showed that these ID sites are potential high-affinity SARS-CoV-2 antibody binding sites. Peptides containing two out of the nine sites were tested as vaccine candidates against SARS-CoV-2 in a mouse model. We detected epitope-specific antibodies and SARS-CoV-2-neutralising activity in the immunised mice. This study for the first time provides human serological data for the design of vaccines against COVID-19.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Signal Transduction and Targeted Therapy
30 papers in training set
Top 0.1%
14.6%
2
iScience
1154 papers in training set
Top 0.8%
7.0%
3
Nature Communications
5641 papers in training set
Top 26%
6.1%
4
eBioMedicine
183 papers in training set
Top 0.4%
5.3%
5
eLife
5828 papers in training set
Top 24%
5.0%
6
Frontiers in Immunology
638 papers in training set
Top 3%
4.7%
7
Scientific Reports
3612 papers in training set
Top 31%
3.3%
8
Emerging Microbes & Infections
74 papers in training set
Top 0.3%
3.1%
9
Journal of Virology
499 papers in training set
Top 2%
3.1%
50% of probability mass above
10
Antiviral Research
50 papers in training set
Top 0.3%
3.1%
11
PLOS Pathogens
820 papers in training set
Top 5%
3.1%
12
Cell Reports Medicine
153 papers in training set
Top 1%
3.1%
13
Cell Discovery
57 papers in training set
Top 0.3%
3.1%
14
Cell Reports
1498 papers in training set
Top 14%
2.7%
15
Cell Research
51 papers in training set
Top 0.3%
2.7%
16
Cellular & Molecular Immunology
14 papers in training set
Top 0.1%
2.4%
17
Vaccines
198 papers in training set
Top 1%
2.3%
18
Vaccine
203 papers in training set
Top 1%
2.3%
19
npj Vaccines
67 papers in training set
Top 0.5%
1.7%
20
PLOS ONE
5266 papers in training set
Top 57%
1.1%
21
Journal of Molecular Cell Biology
22 papers in training set
Top 0.2%
1.1%
22
Microbiology Spectrum
469 papers in training set
Top 9%
1.1%
23
Cell Host & Microbe
116 papers in training set
Top 2%
1.1%
24
mBio
833 papers in training set
Top 10%
1.0%
25
Journal of Medical Virology
140 papers in training set
Top 2%
1.0%
26
Annals of the Rheumatic Diseases
36 papers in training set
Top 0.4%
1.0%
27
Viruses
332 papers in training set
Top 4%
1.0%
28
Communications Biology
993 papers in training set
Top 32%
0.8%
29
Human Vaccines & Immunotherapeutics
25 papers in training set
Top 0.5%
0.8%
30
Cell
431 papers in training set
Top 11%
0.8%