Evidence map›Paper›PMID 39675761›Full record

ArticleCell proliferation2025

Single-Cell Multiomics Reveals TCR Clonotype-Specific Phenotype and Stemness Heterogeneity of T-ALL Cells.

Songnan Sui, Xiaolei Wei, Yue Zhu, Qiuyue Feng, Xianfeng Zha, Lipeng Mao, Boya Huang, Wen Lei, Guobing Chen, Huien Zhan and 5 more

Abstract read
In one paragraph

Article in Cell proliferation, 2025. 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. Article
  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

15 authors.

Songnan SuiDepartment of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China.
Xiaolei WeiDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yue ZhuDepartment of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China.
Qiuyue FengDepartment of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China.
Xianfeng ZhaDepartment of Clinical Laboratory, First Affiliated Hospital, Jinan University, Guangzhou, China.
Lipeng MaoDepartment of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China.
Boya HuangDepartment of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China.
Wen LeiDepartment of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China.
Guobing ChenDepartment of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China.
Huien ZhanDepartment of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China.
Huan ChenDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ru FengDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0001-6135-3545
Chengwu ZengKey Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China.
Yangqiu LiKey Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0002-0974-4036
Oscar Junhong LuoDepartment of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1266-3069

Funding

Initial Startup Fund of Jinan UniversityIntergovernmental International Cooperation on Scientific and Technological Innovation Project of Chinese Ministry of Science and Technology 2017YFE0131600National Natural Science Foundation of China 82293630National Natural Science Foundation of China 82293632National Natural Science Foundation of China 82350610280National Natural Science Foundation of China 92474101Pearl River Talents Scheme of Guangdong Province 2019QN01Y990
6 · The paper itself

Abstract

T-cell acute lymphoblastic leukaemia (T-ALL) is a heterogeneous malignant disease with high relapse and mortality rates. To characterise the multiomics features of T-ALL, we conducted integrative analyses using single-cell RNA, TCR and chromatin accessibility sequencing on pre- and post-treatment peripheral blood and bone marrow samples of the same patients. We found that there is transcriptional rewiring of gene regulatory networks in T-ALL cells. Some transcription factors, such as TCF3 and KLF3, showed differences in activity and expression levels between T-ALL and normal T cells and were associated with the prognosis of T-ALL patients. Furthermore, we identified multiple malignant TCR clonotypes among the T-ALL cells, where the clonotypes consisted of distinct combinations of the same TCR α and β chain per patient. The T-ALL cells displayed clonotype-specific immature thymocyte cellular characteristics and response to chemotherapy. Remarkably, T-ALL cells with an orphan TCRβ chain displayed the strongest stemness and resistance to chemotherapy. Our study provided transcriptome and epigenome characterisation of T-ALL cells categorised by TCR clonotypes, which may be helpful for the development of novel predictive markers to evaluate treatment effectiveness for T-ALL.

Indexed as

Precursor T-Cell Lymphoblastic Leukemia-LymphomaReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaSingle-Cell AnalysisFemaleGene Regulatory NetworksHumansMaleMultiomicsPhenotypeTranscriptomeReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaclonotype‐specific T‐ALL characteristicsimmature thymocytesingle‐cell multiomicsT‐cell acute lymphoblastic leukemia (T‐ALL)T‐cell receptor (TCR) clonotype

Identifiers

PMID39675761
PMCPMC11969251

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.