Evidence map›Paper›PMID 38321550›Full record

ArticleClinical epigenetics2024

Per-cell histone acetylation is associated with terminal differentiation in human T cells.

Cheng Yang, You Li, Yaqiu Hu, Qian Li, Yinghua Lan, Yongguo Li

Abstract read
In one paragraph

Article in Clinical epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Cheng YangDepartment of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
You LiDepartment of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yaqiu HuDepartment of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Qian LiDepartment of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yinghua LanDepartment of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400010, China. lan_yinghua@163.com.
Yongguo LiDepartment of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. liyongguodoctor@163.com.

Funding

National Natural Science Foundation of China 32000664Natural Science Foundation of Chongqing cstc2021jcyj-msxmX0306
6 · The paper itself

Abstract

backgroundEpigenetic remodeling at effector gene loci has been reported to be critical in regulating T cell differentiation and function. However, efforts to investigate underlying epigenetic mechanisms that control T cell behaviors have been largely hindered by very limited experimental tools, especially in humans.

resultsIn this study, we employed a flow cytometric assay to analyze histone acetylation at single-cell level in human T cells. The data showed that histone acetylation was increased during T cell activation. Among T cell subsets, terminally differentiated effector memory T (T

conclusionsPer-cell histone acetylation is associated with terminal differentiation and poor stemness in human T cells. These observations suggest a new approach to enhance the stem cell-like properties of T cells and improve the efficacy of immunotherapy.

Indexed as

DNA MethylationHistonesAcetylationCell DifferentiationGene Expression RegulationHumansHistonesC646Human T cellSingle-cell histone acetylationStemnessTCF-1Terminal differentiation

Identifiers

PMID38321550
PMCPMC10845582

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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.