Yan Li, Zhenwei Jia, Xiaoyan Liu, Hongbo Zhao, Guirong Cui, Jianmin Luo, Xiaoyang Kong
{"title":"利用单细胞测序技术确定急性 T 淋巴细胞白血病干 T 细胞亚群的特征以及干 T 细胞在疾病过程中的作用。","authors":"Yan Li, Zhenwei Jia, Xiaoyan Liu, Hongbo Zhao, Guirong Cui, Jianmin Luo, Xiaoyang Kong","doi":"10.18632/aging.206123","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Precursor T-cell acute lymphoblastic leukemia (Pre-T ALL) is a malignant neoplastic disease in which T-cells proliferate in the bone marrow. Single-cell sequencing technology could identify characteristic cell types, facilitating the study of the therapeutic mechanisms in Pre-T ALL.</p><p><strong>Methods: </strong>The single-cell sequencing data (scRNA-seq) of Pre-T ALL were obtained from public databases. Key immune cell subpopulations involved in the progression of Pre-T ALL were identified by clustering and annotating the cellular data using AUCell. Next, pseudo-temporal analysis was performed to identify the differentiation trajectories of immune cell subpopulations using Monocle. Copy number mutation landscape of cell subpopulations was characterized by inferCNV. Finally, cellphoneDB was used to analyze intercellular communication relationships.</p><p><strong>Results: </strong>A total of 10 cellular subpopulations were classified, with Pre-T ALL showing a higher proportion of NK/T cells. NK/T cells were further clustered into two subpopulations. Stem T cells showed a high expression of marker genes related to hematopoietic stem cells, Naive T cells had a high expression of CCR7, CCR7, RCAN3, and NK cells high-expressed KLRD1, TRDC. The cell proliferation was reduced and the activation of T cell was increased during the differentiation of stem T cells to Naive T cells. We observed interaction between stem T cells with dendritic cells such as CD74-COPA, CD74-MIF as well as co-inhibition-related interactions such as LGALS9-HAVCR2, TGFB1-TGFBR3.</p><p><strong>Conclusion: </strong>Stem T cells were involved in the development of Pre-T-ALL through the regulatory effects of transcription factors (TFs) KLF2 and FOS and multiple ligand-receptor pairs.</p>","PeriodicalId":55547,"journal":{"name":"Aging-Us","volume":"null ","pages":"13117-13131"},"PeriodicalIF":3.9000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11552640/pdf/","citationCount":"0","resultStr":"{\"title\":\"Single-cell sequencing technology to characterize stem T-cell subpopulations in acute T-lymphoblastic leukemia and the role of stem T-cells in the disease process.\",\"authors\":\"Yan Li, Zhenwei Jia, Xiaoyan Liu, Hongbo Zhao, Guirong Cui, Jianmin Luo, Xiaoyang Kong\",\"doi\":\"10.18632/aging.206123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Precursor T-cell acute lymphoblastic leukemia (Pre-T ALL) is a malignant neoplastic disease in which T-cells proliferate in the bone marrow. Single-cell sequencing technology could identify characteristic cell types, facilitating the study of the therapeutic mechanisms in Pre-T ALL.</p><p><strong>Methods: </strong>The single-cell sequencing data (scRNA-seq) of Pre-T ALL were obtained from public databases. Key immune cell subpopulations involved in the progression of Pre-T ALL were identified by clustering and annotating the cellular data using AUCell. Next, pseudo-temporal analysis was performed to identify the differentiation trajectories of immune cell subpopulations using Monocle. Copy number mutation landscape of cell subpopulations was characterized by inferCNV. Finally, cellphoneDB was used to analyze intercellular communication relationships.</p><p><strong>Results: </strong>A total of 10 cellular subpopulations were classified, with Pre-T ALL showing a higher proportion of NK/T cells. NK/T cells were further clustered into two subpopulations. Stem T cells showed a high expression of marker genes related to hematopoietic stem cells, Naive T cells had a high expression of CCR7, CCR7, RCAN3, and NK cells high-expressed KLRD1, TRDC. The cell proliferation was reduced and the activation of T cell was increased during the differentiation of stem T cells to Naive T cells. 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引用次数: 0
摘要
背景:前T细胞急性淋巴细胞白血病(Pre-T ALL)是一种T细胞在骨髓中增殖的恶性肿瘤疾病。单细胞测序技术可识别特征性细胞类型,有助于研究前T细胞急性淋巴细胞白血病的治疗机制:方法:从公共数据库中获取Pre-T ALL的单细胞测序数据(scRNA-seq)。通过使用AUCell对细胞数据进行聚类和注释,确定了参与Pre-T ALL进展的关键免疫细胞亚群。然后,利用Monocle进行伪时分析,确定免疫细胞亚群的分化轨迹。细胞亚群的拷贝数突变情况由 inferCNV 表征。最后,利用 cellphoneDB 分析了细胞间的通讯关系:结果:共对 10 个细胞亚群进行了分类,Pre-T ALL 的 NK/T 细胞比例较高。NK/T细胞进一步分为两个亚群。干T细胞高表达造血干细胞相关标记基因,Naive T细胞高表达CCR7、CCR7、RCAN3,NK细胞高表达KLRD1、TRDC。在干 T 细胞向 Naive T 细胞分化的过程中,细胞增殖减少,T 细胞活化增加。我们观察到干 T 细胞与树突状细胞之间的相互作用,如 CD74-COPA、CD74-MIF,以及共同抑制相关的相互作用,如 LGALS9-HAVCR2、TGFB1-TGFBR3:结论:干 T 细胞通过转录因子(TF)KLF2 和 FOS 以及多种配体-受体对的调控作用参与了前 T-ALL 的发展。
Single-cell sequencing technology to characterize stem T-cell subpopulations in acute T-lymphoblastic leukemia and the role of stem T-cells in the disease process.
Background: Precursor T-cell acute lymphoblastic leukemia (Pre-T ALL) is a malignant neoplastic disease in which T-cells proliferate in the bone marrow. Single-cell sequencing technology could identify characteristic cell types, facilitating the study of the therapeutic mechanisms in Pre-T ALL.
Methods: The single-cell sequencing data (scRNA-seq) of Pre-T ALL were obtained from public databases. Key immune cell subpopulations involved in the progression of Pre-T ALL were identified by clustering and annotating the cellular data using AUCell. Next, pseudo-temporal analysis was performed to identify the differentiation trajectories of immune cell subpopulations using Monocle. Copy number mutation landscape of cell subpopulations was characterized by inferCNV. Finally, cellphoneDB was used to analyze intercellular communication relationships.
Results: A total of 10 cellular subpopulations were classified, with Pre-T ALL showing a higher proportion of NK/T cells. NK/T cells were further clustered into two subpopulations. Stem T cells showed a high expression of marker genes related to hematopoietic stem cells, Naive T cells had a high expression of CCR7, CCR7, RCAN3, and NK cells high-expressed KLRD1, TRDC. The cell proliferation was reduced and the activation of T cell was increased during the differentiation of stem T cells to Naive T cells. We observed interaction between stem T cells with dendritic cells such as CD74-COPA, CD74-MIF as well as co-inhibition-related interactions such as LGALS9-HAVCR2, TGFB1-TGFBR3.
Conclusion: Stem T cells were involved in the development of Pre-T-ALL through the regulatory effects of transcription factors (TFs) KLF2 and FOS and multiple ligand-receptor pairs.