Evidence map›Paper›PMID 33383142›Full record

ArticleGenomics2021

Comprehensive analysis of TCR repertoire in COVID-19 using single cell sequencing.

Pingping Wang, Xiyun Jin, Wenyang Zhou, Meng Luo, Zhaochun Xu, Chang Xu, Yiqun Li, Kexin Ma, Huimin Cao, Yan Huang and 4 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
1.2field-weighted citation impact, top 11% of its field
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

40 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
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  9. Review
  10. Article
  11. The molecular mechanisms of CD8Frontiers in immunology · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  18. Article
  19. Review
  20. NAIR: Network Analysis of Immune Repertoire.Frontiers in immunology · 2023
    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

14 authors at 1 institution in 1 country.

Pingping WangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Xiyun JinSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Wenyang ZhouSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Meng LuoSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Zhaochun XuSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Chang XuSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Yiqun LiSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Kexin MaSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Huimin CaoSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Yan HuangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Guangfu XueSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China.
Shuilin JinSchool of Mathematics, Harbin Institute of Technology, Harbin 150000, China.
Huan NieSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China. Electronic address: nh1212@hit.edu.cn.
Qinghua JiangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China; Key Laboratory of Biological Big Data (Harbin Institute of Technology), Ministry of Education, China. Electronic address: qhjiang@hit.edu.cn.
Harbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-cell receptor (TCR) is crucial in T cell-mediated virus clearance. To date, TCR bias has been observed in various diseases. However, studies on the TCR repertoire of COVID-19 patients are lacking. Here, we used single-cell V(D)J sequencing to conduct comparative analyses of TCR repertoire between 12 COVID-19 patients and 6 healthy controls, as well as other virus-infected samples. We observed distinct T cell clonal expansion in COVID-19. Further analysis of VJ gene combination revealed 6 VJ pairs significantly increased, while 139 pairs significantly decreased in COVID-19 patients. When considering the VJ combination of α and β chains at the same time, the combination with the highest frequency on COVID-19 was TRAV12-2-J27-TRBV7-9-J2-3. Besides, preferential usage of V and J gene segments was also observed in samples infected by different viruses. Our study provides novel insights on TCR in COVID-19, which contribute to our understanding of the immune response induced by SARS-CoV-2.

Indexed as

High-Throughput Nucleotide SequencingSARS-CoV-2Single-Cell AnalysisCOVID-19FemaleHumansMaleReceptors, Antigen, T-CellT-LymphocytesReceptors, Antigen, T-CellCOVID-19scTCR-seqTCR biasTCR repertoire

Identifiers

PMID33383142
PMCPMC7833309
OpenAlexW3116751540

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.