Ena-DATASET-UIO-17-04-2018-09:08:13:507-158 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001004081 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:In order to characterize the T cell receptor (TCR) repertoire of gluten specific T cells, we performed high-throughput DNA sequencing of rearranged TCR-α and TCR-β genes of the single HLA-DQ2.5:DQ2.5-gluten tetramer binding CD4+ T cells isolated from blood, biopsies and T cell line from celiac disease patients.
| EGAD00001006977 | EGA
Project description:Celiac disease (CD) is a chronic inflammation of the small intestine triggered by the ingestion of gluten in genetically predisposed individuals. Tissue transglutaminase (TG2) is a key factor in the pathogenesis of CD, because it catalyzes both the deamidation of specific glutamine residues and the formation of covalent Nε-(γ-glutamyl)-lysine isopeptide crosslinks resulting in TG2-gluten peptide complexes. These complexes are thought to activate B cells causing the secretion of anti-TG2 autoantibodies that serve as diagnostic markers for CD, although their pathogenic role remains unclear. To gain more insight into the molecular structures of TG2-gluten peptide complexes, we developed a reciprocal proteomic analysis strategy, which facilitates the comprehensive identification of isopeptides in a complex protein hydrolysate. The workflow consists of four steps: (1) performance of the model reaction between TG2 and gluten peptide(s) followed by tryptic hydrolysis, clean-up and untargeted nLC-MS/MS analysis (2), prediction of tryptic TG2-derived lysine peptides that serve as potential isopeptide modifications (3) the search for isopeptides by configuring the TG2-modifications in MaxQuant and search against the α-gliadin fasta file and (4) the reciprocal search for isopeptides by configuring the gluten peptide(s) as modification in MaxQuant and search against the TG2 fasta file. After verification by manual data curation and visualization, this strategy enabled the identification of 26 different isopeptides involving 19 TG2 lysine residues, only six of which were known previously. Experiments with different TG2-gluten peptide molar ratios revealed that K-425, K-590, K-600 and K-649 were the most preferred lysine residues involved in isopeptide crosslinking. Further, expanding the model system to three gluten peptides allowed the localization of the preferred glutamine crosslinking sites. The described strategy is generally applicable to any hydrolysate containing isopeptides and these new insights into the structure of TG2-gluten peptide complexes may help clarify the role of extracellular TG2 in CD autoimmunity and in other inflammatory diseases.
2019-09-27 | PXD014067 | Pride
Project description:In this study relative quantitative analysis of endogenous peptides by mass spectrometry combined with neural network analysis have been used to address why the alpha- or beta-chain sharing human leukocyte antigen (HLA)-DQ molecules DQ2.5, DQ2.2 and DQ7.5 display different risks for celiac disease. Celiac disease is caused by intolerance to cereal gluten proteins, and HLA-DQ molecules are involved in the disease pathogenesis by presentation of gluten peptides to CD4+ T cells. It has recently been shown that T cells of DQ2.5 and DQ2.2 patients recognize different sets of gluten epitopes suggesting that these celiac disease associated DQ molecules select different peptides for display. To explore whether this is the case, we performed a comprehensive, large-scale comparison of the endogenous self-peptides bound to HLA-DQ molecules of B-lymphoblastoid cell lines (B-LCLs). Peptides were eluted from affinity-purified HLA molecules of nine cell lines and subjected to quadrupole orbitrap mass spectrometry and MaxQuant software analysis. Altogether, 12712 endogenous peptides were identified at very different relative abundances. Hierarchical clustering of normalized quantitative data demonstrated significant differences in repertoires of peptides between the three DQ variant molecules. The neural network-based method, NNAlign, was used to identify peptide-binding motifs. The binding motifs of DQ2.5 and DQ7.5 concurred with previously established binding motifs. The binding motif of DQ2.2 was strikingly different from that of DQ2.5 with position P3 being a major anchor having a preference for threonine and serine. This is notable as three recently identified epitopes of gluten recognized by T cells of DQ2.2 celiac patients harbor serine at position P3. The study demonstrates that relative quantitative comparison of endogenous peptides sampled from our protein metabolism by HLA molecules provides clues to understand HLA association with disease.
2014-12-04 | PXD001205 | Pride
Project description:In order to characterize the T cell receptor (TCR) repertoire of DQ2.5-hor-3-specific T cells, we performed high-throughput DNA sequencing of rearranged TCR-α and TCR-β genes of the single HLA-DQ2.5:DQ2.5-hor-3- tetramer binding CD4+ T cells isolated from biopsies of celiac disease patients. We also sequenced the TCR of the T-cell clones (TCCs) that were generated by cloning by limited dilution and antigen-free expansion of HLA-DQ2.5:DQ2.5-hor-3-tetramer binding CD4+ T cells from biopsies of celiac disease patients.
| EGAS00001003674 | EGA
Project description:In order to characterize the T cell receptor (TCR) repertoire of DQ2.5-hor-3-specific T cells, we performed high-throughput DNA sequencing of rearranged TCR-α and TCR-β genes of the single HLA-DQ2.5:DQ2.5-hor-3- tetramer binding CD4+ T cells isolated from biopsies of celiac disease patients. We also sequenced the TCR of the T-cell clones (TCCs) that were generated by cloning by limited dilution and antigen-free expansion of HLA-DQ2.5:DQ2.5-hor-3-tetramer binding CD4+ T cells from biopsies of celiac disease patients.
| EGAD00001005048 | EGA
Project description:Gluten-specific CD4+ T cells are drivers of celiac disease (CeD). Here we aimed to characterize such cells in blood of treated CeD patients during gluten challenge with comparison to similar cells of untreated disease.
Treated CeD patients underwent a 3-day gluten-challenge with blood sampling at baseline and day 6 (d6). Blood cells were stained with HLA-DQ:gluten tetramers (Tetramer). CD4+, gut-homing Tetramer+ and Tetramer- effector-memory T (TEM) cells at d6 were subjected to bulk RNA-seq (n=7).
| EGAS00001004988 | EGA
Project description:Total RNA-seq of intestinal gluten tetramer+ and tetramer- CD4+ T-cells from celiac disease patients, as well as intestinal CD4+ T-cells from healthy control individuals (paired-end fastq files).
| EGAD00001004146 | EGA
Project description:The aim of the experiment was to assess the differentiation and activation status of influenza-specific CD8+ T cells (A2/PB1 413 and A2/BHA 543) from an individual naturally infected with influenza B (PCR-confirmed). Single tetramer+ CD8+ T cells from tetramer-enriched PBMCs were sorted from baseline (~3 months before infection), at 14 days after infections, at 3 months after infection and at 1.5 years after infection. Libraries were prepared using a modified Smart-seq2 protocol as detailed in the methods section of the manuscript.
2019-02-18 | E-MTAB-7606 | biostudies-arrayexpress
Project description:Treatment of acute promyelocytic leukemia (APL) with all-trans-retinoic acid (ATRA) results in terminal differentiation of leukemic cells toward neutrophil granulocytes. Administration of ATRA leads to massive changes in gene expression, including down-regulation of cell proliferation-related genes and induction of genes involved in immune function. One of the most induced genes in APL NB4 cells is transglutaminase 2 (TG2). RNAi-mediated stable silencing of TG2 in NB4 cells (TG2-KD NB4) coupled with whole genome microarray analysis revealed that TG2 is involved in the expression of a large number of ATRA-regulated genes. The affected genes participate in granulocyte functions and their silencing lead to reduced adhesive, migratory and phagocytic capacity of neutrophils and less superoxide production. The expression of genes related to cell cycle control also changed, suggesting that TG2 regulates myeloid cell differentiation. CC chemokines CCL2, 3, 22, 24 and cytokines IL1B and IL8 involved in the development of differentiation syndrome (DS) are expressed at significantly lower levels in TG2-KD NB4 cells than in wild-type NB4 cells upon ATRA treatment. Based on our results, we propose that reduced expression of TG2 in differentiating APL cells may suppress effector functions of neutrophil granulocytes and attenuate the ATRA-induced inflammatory phenotype of DS. We used microarrays to detail the global program of gene expression underlying ATRA-induced differentiation of TG2 knockout NB4 cells. TG2 knockout NB4 cells were differentiated for 48 and 72 hours in the presence of ATRA and their gene expression profiles were compared to the wild-type cells at the same time points. Undifferentiated wild-type and TG2 knockout NB4 cells were used as untreated controls. Three biological replicates each.
2010-12-01 | E-GEOD-23702 | biostudies-arrayexpress
Project description:In this study relative quantitative analysis of endogenous peptides by mass spectrometry combined with neural network analysis have been used to address why the alpha- or beta-chain sharing human leukocyte antigen (HLA)-DQ molecules DQ2.5, DQ2.2 and DQ7.5 display different risks for celiac disease. Celiac disease is caused by intolerance to cereal gluten proteins, and HLA-DQ molecules are involved in the disease pathogenesis by presentation of gluten peptides to CD4+ T cells. It has recently been shown that T cells of DQ2.5 and DQ2.2 patients recognize different sets of gluten epitopes suggesting that these celiac disease associated DQ molecules select different peptides for display. To explore whether this is the case, we performed a comprehensive, large-scale comparison of the endogenous self-peptides bound to HLA-DQ molecules of B-lymphoblastoid cell lines (B-LCLs). Peptides were eluted from affinity-purified HLA molecules of nine cell lines and subjected to quadrupole orbitrap mass spectrometry and MaxQuant software analysis. Altogether, 12712 endogenous peptides were identified at very different relative abundances. Hierarchical clustering of normalized quantitative data demonstrated significant differences in repertoires of peptides between the three DQ variant molecules. The neural network-based method, NNAlign, was used to identify peptide-binding motifs. The binding motifs of DQ2.5 and DQ7.5 concurred with previously established binding motifs. The binding motif of DQ2.2 was strikingly different from that of DQ2.5 with position P3 being a major anchor having a preference for threonine and serine. This is notable as three recently identified epitopes of gluten recognized by T cells of DQ2.2 celiac patients harbor serine at position P3. The study demonstrates that relative quantitative comparison of endogenous peptides sampled from our protein metabolism by HLA molecules provides clues to understand HLA association with disease.
2017-04-01 | MSV000080859 | MassIVE