HLA Class II analysis of human pancreatic beta cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE121863 | GEO | 2019/03/01
REPOSITORIES: GEO
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Project description:Full-length HLA class II sequences
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Project description:Gene expression analysis of molecules with known function in HLA class II antigen processing and presentation. Various hematopoietic cell types and (cytokine pre-treated) non-hematopoietic cells that are targeted in Graft-versus-Leukemia reactivity and Graft-versus-Host Disease were collected. Expression was compared between the different hematopoietic and non-hematopoietic cell types for the Invariant chain, HLA-DMA, HLA-DMB, HLA-DOA and HLA-DOB genes. The data show that the Invariant chain, HLA-DMA, HLA-DMB and HLA-DOA genes are expressed in all or the majority of cell types with HLA class II surface expression, whereas expression of the HLA-DOB gene is restricted to professional antigen presenting B-cells and mature dendritic cells.
2012-06-19 | GSE38798 | GEO
Project description:Gene expression analysis of molecules with known function in HLA class II antigen processing and presentation. Various hematopoietic cell types and (cytokine pre-treated) non-hematopoietic cells that are targeted in Graft-versus-Leukemia reactivity and Graft-versus-Host Disease were collected. Expression was compared between the different hematopoietic and non-hematopoietic cell types for the Invariant chain, HLA-DMA, HLA-DMB, HLA-DOA and HLA-DOB genes. The data show that the Invariant chain, HLA-DMA, HLA-DMB and HLA-DOA genes are expressed in all or the majority of cell types with HLA class II surface expression, whereas expression of the HLA-DOB gene is restricted to professional antigen presenting B-cells and mature dendritic cells. Total RNA was isolated from various hematopoietic cell types isolated (and cultured) from (G-CSF mobilized) peripheral blood from five different individuals and from (IFN-g pre-treated) fibroblasts cultured from skin biopsies from four different patients transplanted with allogeneic hematopoietic stem cells.
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Project description:Classical antigen processing/presentation mechanisms lead to the presentation of antigenic peptides derived from endogenous and exogenous sources for MHC class I and class II molecules, respectively. We show here that, unlike other class II, prevalent HLA-DP molecules whose chains encode Gly84 (DP84Gly) constitutively present endogenous peptides.
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Project description:Major Histocompatibility Complex Class II antigen presentation underlies a wide range of immune responses in health and disease. Although peptide ligand binding affinity has been the major focus for explaining and predicting class II antigens, we know that the levels and activities of accessory molecules, HLA-DM (DM) and HLA-DO (DO) can have strong effects on peptide repertoires. However, the extent to which these antagonistic proteins’ levels relative to one another shape the identities and properties of peptides selected for presentation remains unclear. Hence, after creating cell line panel with varying DO:DM ratios, of we set out to measure the effects these ratios can have on peptide presentation. Using a combined immunopeptidomic and proteomic discovery strategy, we profiled ligandome differences across this panel. By surveying over 10,000 unique HLA-DR4-presented peptides, we found marked increases in repertoire diversity and altered physical properties of presented peptides that corresponded with increasing DO:DM ratios.
2023-10-24 | PXD024392 | Pride
Project description:The sensitivity of malignant tissues to T cell-based cancer immunotherapies is dependent on the presence of targetable HLA class I ligands on the tumor cell surface. Peptide intrinsic factors, such as HLA class I affinity, likelihood of proteasomal processing, and transport into the ER lumen have all been established as determinants of HLA ligand presentation. However, the role of sequence features at the gene and protein level as determinants of epitope presentation has not been systematically evaluated. To address this, we performed HLA ligandome mass spectrometry on patient-derived melanoma lines and used this data-set to evaluate the contribution of 7,124 gene and protein sequence features to HLA sampling. This analysis reveals that a number of predicted modifiers of mRNA and protein abundance and turn-over, including predicted mRNA methylation and protein ubiquitination sites, inform on the presence of HLA ligands. Importantly, integration of gene and protein sequence features into a machine learning approach augments HLA ligand predictions to a comparable degree as predictive models that include experimental measures of gene expression. Our study highlights the value of gene and protein features to HLA ligand predictions.
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Project description:The sensitivity of malignant tissues to T cell-based cancer immunotherapies is dependent on the presence of targetable HLA class I ligands on the tumor cell surface. Peptide intrinsic factors, such as HLA class I affinity, likelihood of proteasomal processing, and transport into the ER lumen have all been established as determinants of HLA ligand presentation. However, the role of sequence features at the gene and protein level as determinants of epitope presentation has not been systematically evaluated. To address this, we performed HLA ligandome mass spectrometry on patient-derived melanoma lines and used this data-set to evaluate the contribution of 7,124 gene and protein sequence features to HLA sampling. This analysis reveals that a number of predicted modifiers of mRNA and protein abundance and turn-over, including predicted mRNA methylation and protein ubiquitination sites, inform on the presence of HLA ligands. Importantly, integration of gene and protein sequence features into a machine learning approach augments HLA ligand predictions to a comparable degree as predictive models that include experimental measures of gene expression. Our study highlights the value of gene and protein features to HLA ligand predictions.
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Project description:IFNa is a key regulator of the dialogue between pancreatic β-cells and the immune system in early type 1 diabetes (T1D). IFNa up-regulates HLA class I expression in human β-cells fostering autoantigen presentation to the immune system. We observed by bulk and single cell RNA sequencing that exposure of human induced pluripotent-derived islet-like cells to IFNa induces expression of HLA class I and of other genes involved in antigen presentation, including the transcriptional activator NLRC5. We next evaluated the global role of NLRC5 in human insulin-producing EndoC-βH1 and human islets cells by RNA sequencing and targeted gene/protein determination. NLRC5 regulates expression of HLA class I expression and related genes and of chemokines. NLRC5 also mediates the effects of IFNa on alternative splicing, a generator of β-cell neoantigens, suggesting that it is a central mediator of the effects of IFNa on β-cells that contribute to trigger and amplify autoimmunity in T1D.
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Project description:IFNa is a key regulator of the dialogue between pancreatic β-cells and the immune system in early type 1 diabetes (T1D). IFNa up-regulates HLA class I expression in human β-cells fostering autoantigen presentation to the immune system. We observed by bulk and single cell RNA sequencing that exposure of human induced pluripotent-derived islet-like cells to IFNa induces expression of HLA class I and of other genes involved in antigen presentation, including the transcriptional activator NLRC5. We next evaluated the global role of NLRC5 in human insulin-producing EndoC-βH1 and human islets cells by RNA sequencing and targeted gene/protein determination. NLRC5 regulates expression of HLA class I expression and related genes and of chemokines. NLRC5 also mediates the effects of IFNa on alternative splicing, a generator of β-cell neoantigens, suggesting that it is a central mediator of the effects of IFNa on β-cells that contribute to trigger and amplify autoimmunity in T1D.
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Project description:Insulin-dependent diabetes mellitus (T1D) is an organ-specific auto-immune disease caused by the selective destruction of the pancreatic beta cells by inflammatory cells, especially auto-reactive CD8+ T lymphocytes. In this study we evaluated the differential large scale gene expression profiling using cDNA microarrays of T (CD4+ and CD8+) and monocyte (CD14+) cells. In addition, considering that HLA class II profile may influence the expression of these molecules on the surface of peripheral blood cells, and considering that the mechanisms by which HLA class II susceptibility alleles drive the auto-immune response have not been elucidated, we intend to further stratify T1D patients according to the HLA class II profile. 20 pre-pubertal recently diagnosed T1D patients were selected, HLA-DRB1/DQB1 allele typing and separated in two groups. The group 1(G1) had patients with susceptibility alleles and group 2 (G2) with at least one protection allele. To established relationships between genes, the GeneNetwork 1.2 algorithm was used, 6 networks were obtained, TCD4+ G1 patients X controls, TCD4+ G2 patients X controls, and same situation to TCD8+ and CD14+.
2011-06-15 | E-MEXP-3223 | biostudies-arrayexpress