Evidence map›Paper›PMID 41736866›Full record

ArticleiScience2026

Systematic profiling of SARS-CoV-2 structural protein-specific T cell epitopes in Omicron infections following inactivated vaccination.

Zhiqing Li, Mengmeng Cui, Jian Wu, Tianju Hu, Junyan Dan, Xiaosu Chen, Qicong Shen, Jin Hou, Zhongfang Wang, Yizhi Yu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Zhiqing LiNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai 200433, China.
Mengmeng CuiNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai 200433, China.
Jian WuNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai 200433, China.
Tianju HuDepartment of Immunology, Center for Immunotherapy, Chinese Academy of Medical Sciences, Beijing 100005, China.
Junyan DanNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai 200433, China.
Xiaosu ChenFrontier Research Center for Cell Response, Institute of Immunology, College of Life Sciences, Nankai University, Tianjin 300071, China.
Qicong ShenNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai 200433, China.
Jin HouNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai 200433, China.
Zhongfang WangGuangzhou Laboratory, Guangzhou 510300, China.
Yizhi YuNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai 200433, China.
Shuxun LiuNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive identification of T cell epitopes is crucial for understanding SARS-CoV-2-specific T cell immunity and guiding vaccine development. Epitope-specific T cells primed by inactivated vaccination (IV)-widely administered in China-followed by Omicron breakthrough infection (BI)-remain poorly characterized. Using hierarchical epitope screening in the IV-BI cohort, we systematically validated known epitope-HLA interactions and uncovered previously unrecognized associations, revealing immunodominant epitopes in conserved regions (S1-NTD, M protein β-sandwich, and N-CTD). Based on these epitopes, analysis of cohort samples before and after BI revealed that certain epitope-specific, CD4

Indexed as

immunologymolecular biologyvirology

Identifiers

PMID41736866
PMCPMC12927107

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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.