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Single-Cell RNA Sequencing Reveals the Immunological Profiles of Renal Allograft Rejection in mice

ABSTRACT: Background: Acute T cell-mediated rejection (TCMR) is a common immunological feature in renal transplantation and is associated with reduced graft survival. However, the full immunological profiling of acute TCMR remains unknown. Methods: A fully mismatched acute TCMR model was induced by transplanting the left kidneys from BALB/c mice into C56BL/6J mice. Allografted kidneys were harvested on day 7 (D7) and sorted for CD45+ leukocytes for single cell RNA sequencing (scRNA-seq) . In addition, scRNA-seq data of CD45+ immune cells on day 15 (D15) containing GSE157292 dataset (samples GSM4761000 and GSM4761003) were downloaded from Gene Expression Omnibus. All data obtained from D7 and D15 were integrated and analyzed. Results: We identified 20 major immune cell types among 10921 immune cells, including macrophages, B cells, T cells, dendritic cells, natural killer cells, neutrophils, and basophils in kidney allografts. Macrophages and CD8 T cells constituted the main immune cell populations on both D7 and D15. In the process towards immune regression, the proportion of CD8 T cells dropped significantly by about 25%, mainly due to decreased proliferation and naïve CD8 T cell infiltration. The proportion of both B cells and neutrophils also decreased by about 3 folds. On the contrary, the relative proportion of macrophages and DCs increased significantly, especially by a 4 fold increase in Ly6cloMrc1+ resident macrophages A group of Ly6cloEar2+ macrophages also increased by about 3 folds. Moreover, myeloid cells harbored the richest ligand and receptor (LR) pairs with other cell types, particularly for chemokine ligands such as Cxcl9, Cxcl10, Cxcl16 and Yars. However, macrophages with weak response to interferon gamma (IFNg) contributed to rejection regression. Conclusions: There is a comprehensive single-cell landscape of the kidney allograft immune cells from rejection progression to regression in acute TCMR. Reduction in CD8 T cells, B cells, and neutrophils while increasing in Ly6clo macrophages, including Ly6cloMrc1+ resident macrophages and Ly6cloEar2+ macrophages, may contribute significantly to immune rejection regression during acute TCMR.

ORGANISM(S): Mus musculus

PROVIDER: GSE166775 | GEO | 2021/07/21

REPOSITORIES: GEO

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Project description:Polyoma virus nephropathy (PVAN) is a common cause of kidney allograft dysfunction and loss. Microscopic descriptions of PVAN are very similar to T-cell mediated rejection (TCMR) and have unclear underlying molecular mechanisms. To identify PVAN-specific gene expression, we analyzed 162 kidney biopsies with and without PVAN for global gene expression. Unsupervised hierarchical clustering analysis of all 162 biopsies revealed high similarity between PVAN and TCMR gene expression. Increasing the stringency for the specificity (p <0.001 and >2-fold expression) between PVAN and TCMR, 158 and 252 unique PVAN and TCMR injury-specific probesets were observed, respectively. While TCMR-specific probeset were overwhelmingly involved in immune response costimulation (CTLA4, CD28, CD86) and TCR (NFATC2, LCP2) signaling, PVAN-specific probesets were mainly related to viral replication process (IFITM1, LTF, NOSIP, RARRES3), RNA polymerase assembly (POLR2l, TAF10, RPS15) and pathogen recognition receptors (C1QA, C3, CFD). A principal component analysis using these genes further confirmed the most optimal separation between the 3 different clinical phenotypes. Validation of 4 PVAN-specific probesets (RPS15, CFD, LTF, and NOSIP) by QPCR and further confirmation by IHC of 2 PVAN-specific proteins with anti-viral function (LTF and IFITM1) was done, showing significantly higher expression within interstitial cellular infiltrates and in tubuli in PVAN specimens as compared to TCMR and NL kidney biopsies. In conclusion, even though PVAN and TCMR kidney allografts share great similarities on gene perturbation, particular PVAN-specific transcripts were identified with well-known anti-viral properties that provide tools for discerning PVAN and AR as well as attractive targets for rational drug design. A total of 168 kidney biopsies from kidney transplant patients were used. The kidney biopsies included renal biopsies from PVAN (n=10), T cell mediated cellular rejection (n=26), patients with IFTA (n=59), patients with stable grafts (STA) (n=73). This dataset is part of the TransQST collection.

Project description:The data set contains 67 array (lymphochip cDNA array), published in N Engl J Med 2003 Jul 10;349(2):125-38. PMID: 12853585. TITLE: Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling. BACKGROUND: The causes and clinical course of acute rejection vary, and it is not possible to predict graft outcome reliably on the basis of available clinical, pathological, and genetic markers. We hypothesized that previously unrecognized molecular heterogeneity might underlie some of the variability in the clinical course of acute renal allograft rejection and in its response to treatment. METHODS: We used DNA microarrays in a systematic study of gene-expression patterns in biopsy samples from normal and dysfunctional renal allografts. A combination of exploratory and supervised bioinformatic methods was used to analyze these profiles. : We found consistent differences among the gene-expression patterns associated with acute rejection, nephrotoxic effects of drugs, chronic allograft nephropathy, and normal kidneys. The gene-expression patterns associated with acute rejection suggested at least three possible distinct subtypes of acute rejection that, although indistinguishable by light microscopy, were marked by differences in immune activation and cellular proliferation. Since the gene-expression patterns pointed to substantial variation in the composition of immune infiltrates, we used immunohistochemical staining to define these subtypes further. This analysis revealed a striking association between dense CD20+ B-cell infiltrates and both clinical glucocorticoid resistance (P=0.01) and graft loss (P<0.001). CONCLUSIONS: Systematic analysis of gene-expression patterns provides a window on the biology and pathogenesis of renal allograft rejection. Biopsy samples from patients with acute rejection that are indistinguishable on conventional histologic analysis reveal extensive differences in gene expression, which are associated with differences in immunologic and cellular features and clinical course. The presence of dense clusters of B cells in a biopsy sample was strongly associated with severe graft rejection, suggesting a pivotal role of infiltrating B cells in acute rejection. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Disease State: normal vs disease Keywords: disease_state_design Using regression correlation

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Single-Cell RNA Sequencing Reveals the Immunological Profiles of Renal Allograft Rejection in mice

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