Single-Cell RNA sequencing highlights the regulatory role of T cell marker genes Ctla4, Ccl5 and Tcf7 in corneal allograft rejection of mouse model

被引:0
|
作者
Lai, Qiaohong
Hu, Lihua [1 ]
Zhang, Wanping [1 ]
Jiang, Ziying [2 ]
Zeng, Cheng [2 ]
Hu, Jun [1 ,2 ,3 ,4 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Obstet & Gynecol Dept, Wuhan 430030, Peoples R China
[2] Wuhan Univ, Aier Eye Hosp, Wuhan 430070, Peoples R China
[3] Hubei Univ Sci & Technol, Sch Optometry, Xianning 437100, Peoples R China
[4] Wuhan Univ, Aier Eye Hosp, 481,Zhongshan Rd, Wuhan 430070, Hubei, Peoples R China
关键词
Corneal allograft; Immune rejection; Single -cell RNA sequencing; CD4+T cells; Tcf7; Ctla4; Ccl5; CD4(+); EXPRESSION; MECHANISMS; CTLA4; MICE;
D O I
10.1016/j.intimp.2023.109911
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: A mouse corneal allograft model was induced and single-cell RNA sequencing (scRNA-seq) data of corneal tissues and T cells were analyzed to reveal a T cell-mediated mechanism for corneal allograft rejection in mice. Methods: Corneal tissue samples from a mouse model of corneal allograft were collected for scRNA-seq analysis, followed by quality control, dimensionality reduction, cluster analysis and enrichment analysis. A large number of highly variable genes were identified in mice with corneal allograft. Significant difference existed in immune T cells, especially in CD4 + T cells. Results: It was found that T cell marker genes Ctla4, Ccl5, Tcf7, Lgals1, and Itgb1 may play key roles in the corneal allograft rejection. Mice with allograft rejection showed a significant increase in the proportion of CD4 + T cells in the corneal tissues. Besides, Ccl5 and Tcf7 expression was increased in mice with allograft rejection and positively linked to the proportion of CD4 + T cells. Whereas, Ctla4 expression was downregulated and negatively associated with the proportion of CD4 + T cells. Conclusion: Collectively, Ctla4, Ccl5 and Tcf7 may participate in the rejection of corneal allograft in mice by affecting CD4 + T cell activation.
引用
收藏
页数:11
相关论文
共 7 条
  • [1] Single-cell RNA sequencing of a new transgenic t(8;21) preleukemia mouse model reveals regulatory networks promoting leukemic transformation
    Ming Yan
    Mengdan Liu
    Amanda G. Davis
    Samuel A. Stoner
    Dong-Er Zhang
    Leukemia, 2024, 38 (1) : 31 - 44
  • [2] Single-cell RNA sequencing of a new transgenic t(8;21) preleukemia mouse model reveals regulatory networks promoting leukemic transformation
    Yan, Ming
    Liu, Mengdan
    Davis, Amanda G.
    Stoner, Samuel A.
    Zhang, Dong-Er
    LEUKEMIA, 2024, 38 (01) : 31 - 44
  • [3] Single-cell RNA and T cell receptor (TCR) sequencing in patients with HPV-positive head and neck squamous cell carcinoma (HNSCC) after induction CTLA4 and PD-1 immune checkpoint blockade (ICB).
    Jiang, Xianli
    Rudqvist, Nils-Petter
    Liang, Shaoheng
    Ye, Shengbin
    He, Shan
    Liang, Qingnan
    Curran, Michael A.
    Jiang, Bo
    Sastry, Jagannadha
    Akagi, Keiko
    Williams, Michelle D.
    Phan, Jack
    Gross, Neil D.
    Li, Meng
    Chen, Ken
    Gillison, Maura L.
    JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 (16)
  • [4] Deciphering the role of CCL4-CCR5 in coronary artery disease pathogenesis: insights from Mendelian randomization, bulk RNA sequencing, single-cell RNA and clinical validation
    Feng, ZiAn
    Li, Hui
    Chen, Nan
    Xu, Kai
    Zhang, BuChun
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2024, 21 (14): : 2683 - 2693
  • [5] Establishment and validation of a novel risk model based on CD8T cell marker genes to predict prognosis in thyroid cancer by integrated analysis of single-cell and bulk RNA-sequencing
    Du, Jian
    Song, Cheng-Fei
    Wang, Shu
    Tan, Yu-Cheng
    Wang, Jiang
    MEDICINE, 2023, 102 (42) : E35192
  • [6] Development and validation a prognostic model based on natural killer T cells marker genes for predicting prognosis and characterizing immune status in glioblastoma through integrated analysis of single-cell and bulk RNA sequencing
    Hu, Jiahe
    Xu, Lei
    Fu, Wenchao
    Sun, Yanan
    Wang, Nan
    Zhang, Jiheng
    Yang, Chengyun
    Zhang, Xiaoling
    Zhou, Yuxin
    Wang, Rongfang
    Zhang, Haoxin
    Mou, Ruishu
    Du, Xinlian
    Li, Xuedong
    Hu, Shaoshan
    Xie, Rui
    FUNCTIONAL & INTEGRATIVE GENOMICS, 2023, 23 (03)
  • [7] Development and validation a prognostic model based on natural killer T cells marker genes for predicting prognosis and characterizing immune status in glioblastoma through integrated analysis of single-cell and bulk RNA sequencing
    Jiahe Hu
    Lei Xu
    Wenchao Fu
    Yanan Sun
    Nan Wang
    Jiheng Zhang
    Chengyun Yang
    Xiaoling Zhang
    Yuxin Zhou
    Rongfang Wang
    Haoxin Zhang
    Ruishu Mou
    Xinlian Du
    Xuedong Li
    Shaoshan Hu
    Rui Xie
    Functional & Integrative Genomics, 2023, 23