Evidence map›Paper›PMID 35928827›Full record

ArticleFrontiers in immunology2022

Single-Cell Transcriptomics Reveals Killing Mechanisms of Antitumor Cytotoxic CD4

Yanling Liang, Qumiao Xu, Songming Liu, Jie Li, Fei Wang, Ziyi Li, Lijuan Liao, Yuting Lu, Yijian Li, Feng Mu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Role of CD4Journal of translational medicine · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. 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

12 authors at 3 institutions in 1 country.

Yanling LiangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Qumiao XuBeijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.
Songming LiuBeijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.
Jie LiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Fei WangBeijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.
Ziyi LiBeijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.
Lijuan LiaoBeijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.
Yuting LuBeijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.
Yijian LiBeijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.
Feng MuBeijing Genomics Institute (BGI), Shenzhen, China.
Hai-Xi SunCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Linnan ZhuBeijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.
BGI Group (China) · CNShenzhen Bay Laboratory · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cell receptor-engineered T cells (TCR-Ts) have emerged as potent cancer immunotherapies. While most research focused on classical cytotoxic CD8

Indexed as

CD8-Positive T-LymphocytesReceptors, Antigen, T-CellCD4-Positive T-LymphocytesT-Lymphocytes, CytotoxicTranscriptomeReceptors, Antigen, T-Celladoptive T cell therapycytotoxic CD4+ TLTAsingle-cell RNA sequencingTCR-T

Identifiers

PMID35928827
PMCPMC9343810
OpenAlexW4286218483

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.