Evidence map›Paper›PMID 32875554›Full record

ArticleImmunology2020

Preselection TCR repertoire predicts CD4

Xianliang Hou, Wenbiao Chen, Xujun Zhang, Guangyu Wang, Jianing Chen, Ping Zeng, Xuyan Fu, Qiong Zhang, Xiangdong Liu, Hongyan Diao

Open access · bronzeAbstract read
In one paragraph

Article in Immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
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  8. RNA mFrontiers in immunology · 2022
    Review
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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

10 authors at 3 institutions in 2 countries.

Xianliang HouState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Wenbiao ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Xujun ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Guangyu WangCentral Laboratory, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Jianing ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Ping ZengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Xuyan FuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Qiong ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Xiangdong LiuCollege of Materials and Textile, Zhejiang Sci-Tech University, Xiasha Higher Education Zone, Hangzhou, China.
Hongyan DiaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0002-7197-4051
National Center for Infectious Diseases · USGuilin Medical University · CNZhejiang Sci-Tech University · CN

Funding

Guilin science research and technology development project 20190218-5-5Key Research & Developement Plan of Zhejiang Province 2019C04005National Key Science and Technology Project 2018YFC2000500-004National Natural Science Foundation of China 81571953Natural Science Foundation of Guangxi Province 2019GXNSFBA245032the major national S&T projects for infectious diseases 2018ZX10301401-005the open funds of the Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation 2019KF004
6 · The paper itself

Abstract

T cells must display diversity regarding both the cell state and T-cell receptor (TCR) repertoire to provide effective immunity against pathogens; however, the generation and evolution of cellular T-cell heterogeneity in the adaptive immune system remains unclear. In the present study, a combination of multiplex PCR and immune repertoire sequencing (IR-seq) was used for a standardized analysis of the TCR β-chain repertoire of CD4

Indexed as

CD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCell DifferentiationCells, CulturedClonal Selection, Antigen-MediatedFemaleGenes, T-Cell Receptor betaHigh-Throughput Nucleotide SequencingHumansLymphocyte ActivationMaleMiddle AgedReceptors, Antigen, T-Cell, alpha-betaT-Lymphocyte SubsetsV(D)J RecombinationReceptors, Antigen, T-Cell, alpha-betacell subsetsdeep sequencingT-cell receptor

Identifiers

PMID32875554
PMCPMC7692249
OpenAlexW3082724841

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.