Evidence map›Paper›PMID 35136040›Full record

ArticleSignal transduction and targeted therapy2022

Parallel profiling of antigenicity alteration and immune escape of SARS-CoV-2 Omicron and other variants.

Cong Sun, Yin-Feng Kang, Yuan-Tao Liu, Xiang-Wei Kong, Hui-Qin Xu, Dan Xiong, Chu Xie, Yi-Hao Liu, Sui Peng, Guo-Kai Feng and 2 more

Abstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Structure and Antigenicity of Kaposi's Sarcoma-Associated Herpesvirus Glycoprotein B.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Structural Immunology of SARS-CoV-2.Immunological reviews · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. The Role of Surveillance Inspections in Reducing False-Positives of SARS-CoV-2 Omicron Variants during the COVID-19 Epidemic.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2023
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Cong Sun *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510060, P. R. China.ORCID http://orcid.org/0000-0003-1786-7420
Yin-Feng Kang *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510060, P. R. China.
Yuan-Tao LiuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510060, P. R. China.
Xiang-Wei KongState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510060, P. R. China.
Hui-Qin XuCryo-electron Microscopy Center, Southern University of Science and Technology, Shenzhen, 518000, Guangdong, P. R. China.
Dan XiongMedical Laboratory of the Third affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, P. R. China.
Chu XieState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510060, P. R. China.
Yi-Hao LiuInstitute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, Guangdong, P. R. China.
Sui PengInstitute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, Guangdong, P. R. China.
Guo-Kai FengState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510060, P. R. China. fengguok@sysucc.org.cn.
Zheng LiuCryo-electron Microscopy Center, Southern University of Science and Technology, Shenzhen, 518000, Guangdong, P. R. China. liuz3@sustech.edu.cn.
Mu-Sheng ZengState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510060, P. R. China. zengmsh@sysucc.org.cn.ORCID http://orcid.org/0000-0003-3509-5591

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81801645National Natural Science Foundation of China (National Science Foundation of China) 82030046
6 · The paper itself

Abstract

SARS-CoV-2 variants have evolved a variety of critical mutations, leading to antigenicity changes and immune escape. The recent emerging SARS-CoV-2 Omicron variant attracted global attention due to its significant resistance to current antibody therapies and vaccines. Here, we profiled the mutations of Omicron and other various circulating SARS-CoV-2 variants in parallel by computational interface analysis and in vitro experimental assays. We identified critical mutations that lead to antigenicity changes and diminished neutralization efficiency of a panel of 14 antibodies due to diverse molecular mechanisms influencing the antigen-antibody interaction. Our study identified that Omicron exhibited extraordinary potency in immune escape compared to the other variants of concern, and explores the application of computational interface analysis in SARS-CoV-2 mutation surveillance and demonstrates its potential for the early identification of concerning variants, providing preliminary guidance for neutralizing antibody therapy.

Indexed as

Antigens, ViralCOVID-19Immune EvasionSARS-CoV-2Antibodies, NeutralizingAntibodies, ViralHEK293 CellsHumansAntibodies, NeutralizingAntibodies, ViralAntigens, Viral

Identifiers

PMID35136040
PMCPMC8826850

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.