Evidence map›Paper›PMID 35011632›Full record

ArticleCells2021

Analysis of TCR Repertoire by High-Throughput Sequencing Indicates the Feature of T Cell Immune Response after SARS-CoV-2 Infection.

Yifan Wang, Fugang Duan, Zhu Zhu, Meng Yu, Xiaodong Jia, Hui Dai, Pingzhang Wang, Xiaoyan Qiu, Yinying Lu, Jing Huang

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

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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 2 institutions in 1 country.

Yifan WangDepartment of Immunology, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Fugang DuanDepartment of Immunology, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China.ORCID 0000-0002-8419-7167
Zhu ZhuDepartment of Immunology, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Meng YuDepartment of Immunology, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Xiaodong JiaComprehensive Liver Cancer Center, The 5th Medicine Center of PLA General Hospital, Beijing 100039, China.
Hui DaiDepartment of Immunology, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Pingzhang WangDepartment of Immunology, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Xiaoyan QiuDepartment of Immunology, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China.
Yinying LuComprehensive Liver Cancer Center, The 5th Medicine Center of PLA General Hospital, Beijing 100039, China.
Jing HuangDepartment of Immunology, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China.ORCID 0000-0002-0814-838X
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChinese PLA General Hospital · CN

Funding

the China Ministry of Science and Technology 2020YFA0707801the Discipline Construction Project of Peking University Health Science Center BMU2020HKYZX004
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a global infectious disease caused by the SARS-CoV-2 coronavirus. T cells play an essential role in the body's fighting against the virus invasion, and the T cell receptor (TCR) is crucial in T cell-mediated virus recognition and clearance. However, little has been known about the features of T cell response in convalescent COVID-19 patients. In this study, using 5'RACE technology and PacBio sequencing, we analyzed the TCR repertoire of COVID-19 patients after recovery for 2 weeks and 6 months compared with the healthy donors. The TCR clustering and CDR3 annotation were exploited to discover groups of patient-specific TCR clonotypes with potential SARS-CoV-2 antigen specificities. We first identified CD4

Indexed as

AgedAmino Acid SequenceCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCells, CulturedComplementarity Determining RegionsConvalescenceCOVID-19FemaleHigh-Throughput Nucleotide SequencingHumansImmunityMaleMiddle AgedPatient AcuityReceptors, Antigen, T-CellComplementarity Determining RegionsReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaCDR3COVID-19immune memorySARS-CoV-2T cell receptor

Identifiers

PMID35011632
PMCPMC8750083
OpenAlexW4200078198

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.