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Single-Cell Landscape of Mouse Islet Allograft and Syngeneic Graft.
- Source :
-
Frontiers in immunology [Front Immunol] 2022 Jun 10; Vol. 13, pp. 853349. Date of Electronic Publication: 2022 Jun 10 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- Islet transplantation to treat the late stage of type 1 diabetic patient (T1DM) has recently made inspiring success in clinical trials. However, most patients experience a decline in islet graft function in one to three years due to immune rejection. Although the mechanisms of immune cells, including macrophages, dendritic cells (DCs), neutrophils, natural killer cells (NKs), B cells, and T cells, that mediate immune rejection have been investigated, the overall characteristics of immune infiltrates in islet allografts and syngeneic grafts remain unclear. Single-cell RNA sequencing (scRNA-seq) has provided us with new opportunities to study the complexity of the immune microenvironment in islet transplants. In the present study, we used scRNA-seq to comprehensively analyze the immune heterogeneity in the mouse model of islet transplantation. Our data revealed T lymphocytes and myeloid cells as the main immune components of grafts 7 days post-islet transplantation, especially in allografts. Moreover, our results indicated that allogeneic islet cells were transformed into antigen-presenting cell-like cells with highly expressed MHC class I molecules and genes involved in MHC class I-mediated antigen presentation. This transformation may dramatically facilitate the interaction with cytotoxic CD8 <superscript>+</superscript> T cells and promote the destruction of islet allografts. Our study provides insight into the transcriptomics and diverse microenvironment of islet grafts and their impacts on immune rejection.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2022 Chen, Yao, Lu, Peng, Zhu, Deng, Wu, Chen, Deng, Li, Pu and Mou.)
Details
- Language :
- English
- ISSN :
- 1664-3224
- Volume :
- 13
- Database :
- MEDLINE
- Journal :
- Frontiers in immunology
- Publication Type :
- Academic Journal
- Accession number :
- 35757709
- Full Text :
- https://doi.org/10.3389/fimmu.2022.853349