Evidence map›Paper›PMID 35197957›Full record

ArticleFrontiers in microbiology2022

T Cell Receptor Repertoire Analysis Reveals Signatures of T Cell Responses to Human

Ming-Ming Shao, Feng-Shuang Yi, Zhong-Yin Huang, Peng Peng, Feng-Yao Wu, Huan-Zhong Shi, Kan Zhai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  4. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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  7. Article
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  9. Article
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  12. SIGANEO: Similarity network with GAN enhancement for immunogenic neoepitope prediction.Computational and structural biotechnology journal · 2023
    Article
  13. Review
  14. 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

7 authors at 4 institutions in 1 country.

Ming-Ming ShaoDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Feng-Shuang YiDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Zhong-Yin HuangDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Peng PengDepartment of Respiratory and Critical Care Medicine, Wuhan Pulmonary Hospital, Wuhan Institute for Tuberculosis Control, Wuhan, China.
Feng-Yao WuDepartment of Tuberculosis, Nanning Fourth People's Hospital, Nanning, China.
Huan-Zhong ShiDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Kan ZhaiDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Beijing Chao-Yang Hospital · CNCapital Medical University · CNThe Fourth People's Hospital · CNWuhan Pulmonary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterization of T cell receptor (TCR) repertoires is essential for understanding the mechanisms of

Indexed as

polyfunctional CD4+ T cellssingle-cell sequencingTCR repertoireTRBV4-1tuberculous patients

Identifiers

PMID35197957
PMCPMC8859175
OpenAlexW4210603573

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.