ArticleFrontiers in immunology2023
Single-cell RNA-seq revealing the immune features of donor liver during liver transplantation.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Single Cell Multi-Omics Revealing the Important Role of MR1 Mediated MAIT Cells in Maintaining Rejection for Liver Transplantation.Cell proliferation · 2026Article
- Biomimetic Targeted Drug Delivery for Liver Failure in Abdominal Sepsis: Focus on Autologous Erythrocyte Ghosts.International journal of molecular sciences · 2026Review
- Substantially Altered Local and Systemic Immunity in Ischemia-Free Versus Conventional Liver Transplantation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The Fibro-Immune Landscape Across Organs: A Single-Cell Comparative Study of Human Fibrotic Diseases.International journal of molecular sciences · 2026Article
- Single-cell and spatial transcriptomics reveal transplant-associated T cells and myeloid cells in human liver transplantation.Frontiers in immunology · 2026Article
- Single-cell transcriptional landscape of liver transplant rejection reveals tissue persistence of clonally expanded, treatment-resistant T cells.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025Article
- The single-cell revolution in transplantation: high-resolution mapping of graft rejection, tolerance, and injury.Frontiers in immunology · 2025Review
- Advanced omics approaches in liver transplant settings: current applications and future prospectives.Frontiers in immunology · 2025Review
- Tertiary lymphoid structure drives allograft rejection via IFN-γ-JAK-STAT-dependent atypical memory B cell differentiation.Frontiers in immunology · 2025Article
- Dynamic immune recovery process after liver transplantation revealed by single-cell multi-omics analysis.Innovation (Cambridge (Mass.)) · 2024Article
- Single-Cell RNA Sequencing in Organ and Cell Transplantation.Biosensors · 2024Review
- Defining the T cell transcriptional landscape in pediatric liver transplant rejection at single cell resolution.bioRxiv : the preprint server for biology · 2024Article
- Updates on the Immune Cell Basis of Hepatic Ischemia-Reperfusion Injury.Molecules and cells · 2023Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune cells, including T and B cells, are key factors in the success of liver transplantation. And the repertoire of T cells and B cells plays an essential function in mechanism of the immune response associated with organ transplantation. An exploration of their expression and distribution in donor organs could contribute to a better understanding of the altered immune microenvironment in grafts. In this study, using single-cell 5' RNA sequence and single-cell T cell receptor (TCR)/B cell receptor (BCR) repertoire sequence, we profiled immune cells and TCR/BCR repertoire in three pairs of donor livers pre- and post-transplantation. By annotating different immune cell types, we investigated the functional properties of monocytes/Kupffer cells, T cells and B cells in grafts. Bioinformatic characterization of differentially expressed genes (DEGs) between the transcriptomes of these cell subclusters were performed to explore the role of immune cells in inflammatory response or rejection. In addition, we also observed shifts in TCR/BCR repertoire after transplantation. In conclusion, we profiled the immune cell transcriptomics and TCR/BCR immune repertoire of liver grafts during transplantation, which may offer novel strategies for monitoring recipient immune function and treatment of rejection after liver transplantation.
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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.