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Murine thymic selection quantified using a unique method to capture deleted T cells.

ABSTRACT: Thymic positive and negative selection events generate a T-cell repertoire that is MHC restricted and self-tolerant. The number of T cells undergoing positive and negative selection in normal mice has never been firmly established. We generated mice that lack the proapoptotic molecule Bim (bcl2l11) together with a Nur77(GFP) transgene, which allowed the identification and enumeration of T cells that would normally undergo clonal deletion. Using this method, we report the striking observation that six times more cells undergo negative selection than complete positive selection. Seventy-five percent of the negatively selected cells are deleted at the double positive stage in the thymic cortex, compared with 25% at the single positive stage in the medulla. The fact that more thymocytes are highly reactive to MHC than are weakly reactive is inconsistent with a random model of recognition and suggests that T-cell recognition is MHC biased. Furthermore, Bim(-/-) mice had an increased number of GFP(hi) cells in the peripheral lymphoid tissue and a corresponding increase in antigen experienced or anergic cell phenotype. Our data also show that the CD4+ T cells that are clonally deleted experienced only slightly stronger T-cell receptor signaling than those that developed into regulatory T cells.

SUBMITTER: Stritesky GL

PROVIDER: S-EPMC3606987 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Murine thymic NK cells are distinct from ILC1s and have unique transcription factor requirements.

Project description:Group 1 innate lymphoid cells include natural killer (NK) cells and ILC1s, which mediate the response to intracellular pathogens. Thymic NK (tNK) cells were described with hybrid features of immature NK cells and ILC1 but whether these cells are related to NK cells or ILC1 has not been fully investigated. We report that murine tNK cells expressed the NK-cell associated transcription factor EOMES and developed independent of the essential ILC1 factor TBET, confirming their placement within the NK lineage. Moreover, tNK cells resemble NK cells rather than ILC1 in their requirements for the E protein transcription factor inhibitor ID2. We provide further insight into the mechanisms governing tNK-cell development by showing that the transcription factor ETS1 prevented tNK cell acquisition of the conventional NK-cell maturation markers CD11b and KLRG1. Our data reveal few ILC1 in the thymus and clarify the identity and developmental requirements of tNK cells.

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MerTK regulates thymic selection of autoreactive T cells.

Project description:T cell-mediated autoimmune diseases such as type 1 diabetes (T1D) are believed to be the result in part of inefficient negative selection of self-specific thymocytes. However, the events regulating thymic negative selection are not fully understood. In the current study, we demonstrate that nonobese diabetic (NOD) mice lacking expression of the Mer tyrosine kinase (MerTK) have reduced inflammation of the pancreatic islets and fail to develop diabetes. Furthermore, NOD mice deficient in MerTK expression (Mer(-/-)) exhibit a reduced frequency of beta cell-specific T cells independent of immunoregulatory effectors. The establishment of bone marrow chimeric mice demonstrated that the block in beta cell autoimmunity required hematopoietic-derived cells lacking MerTK expression. Notably, fetal thymic organ cultures and self-peptide administration showed increased thymic negative selection in Mer(-/-) mice. Finally, thymic dendritic cells (DC) prepared from Mer(-/-) mice exhibited an increased capacity to induce thymocyte apoptosis in a peptide-specific manner in vitro. These findings provide evidence for a unique mechanism involving MerTK-mediated regulation of thymocyte negative selection and thymic DC, and suggest a role for MerTK in contributing to beta cell autoimmunity.

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A simple selection-free method for detecting disseminated tumor cells (DTCs) in murine bone marrow.

Project description:Bone metastasis is a lethal and incurable disease. It is the result of the dissemination of cancer cells to the bone marrow. Due to the difficulty in sampling and detection, few techniques exist to efficiently and consistently detect and quantify disseminated tumor cells (DTCs) in the bone marrow of cancer patients. Because mouse models represent a crucial tool with which to study cancer metastasis, we developed a novel method for the simple selection-free detection and quantification of bone marrow DTCs in mice. We have used this protocol to detect human and murine DTCs in xenograft, syngeneic, and genetically engineered mouse models. We are able to detect and quantify bone marrow DTCs in mice that do not have overt bone metastasis. This protocol is amenable not only for detection and quantification purposes but also to study the expression of markers of numerous biological processes or tissue-specificity.

| S-EPMC5342516 | biostudies-literature

Type II Cytokines Fine-Tune Thymic T Cell Selection to Offset Murine Central Nervous System Autoimmunity.

Project description:Early thymic progenitors (ETPs) are bone marrow-derived hematopoietic stem cells that remain multipotent and give rise to a variety of lineage-specific cells. Recently, we discovered a subset of murine ETPs that expresses the IL-4Rα/IL-13Rα1 heteroreceptor (HR) and commits only to the myeloid lineage. This is because IL-4/IL-13 signaling through the HR inhibits their T cell potential and enacts commitment of HR+ETPs to thymic resident CD11c+CD8α+ dendritic cells (DCs). In this study, we discovered that HR+-ETP-derived DCs function as APCs in the thymus and promote deletion of myelin-reactive T cells. Furthermore, this negative T cell selection function of HR+-ETP-derived DCs sustains protection against experimental allergic encephalomyelitis, a mouse model for human multiple sclerosis. These findings, while shedding light on the intricacies underlying ETP lineage commitment, reveal a novel, to our knowledge, function by which IL-4 and IL-13 cytokines condition thymic microenvironment to rheostat T cell selection and fine-tune central tolerance.

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Thymic selection pathway regulates the effector function of CD4 T cells.

Project description:Recently, a new developmental pathway for CD4 T cells that is mediated by major histocompatibility complex class II-positive thymocytes was identified (Choi, E.Y., K.C. Jung, H.J. Park, D.H. Chung, J.S. Song, S.D. Yang, E. Simpson, and S.H. Park. 2005. Immunity. 23:387-396; Li, W., M.G. Kim, T.S. Gourley, B.P. McCarthy, D.B. Sant'angelo, and C.H. Chang. 2005. Immunity. 23:375-386). We demonstrate that thymocyte-selected CD4 (T-CD4) T cells can rapidly produce interferon gamma and interleukin (IL) 4 upon in vivo and in vitro T cell receptor stimulation. These T-CD4 T cells appear to be effector cells producing both T helper type 1 (Th1) and Th2 cytokines, and they maintain a potential to produce Th2 cytokines under Th1-skewing conditions in a signal transducer and activator of transcription 6-independent manner. The IL-4 mRNA level is high in CD4 single-positive thymocytes if they are selected on thymocytes, which is at least partly caused by enhanced histone acetylation of the IL-4 locus. However, mice that can generate T-CD4 T cells showed attenuated immune responses in an allergen-induced airway inflammation model, suggesting a protective role for T-CD4 T cells during an airway challenge. Our results imply that this thymic selection pathway plays an important role in determining the effector function of the resulting CD4 cells and in regulating immune response.

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Thymic OX40 expression discriminates cells undergoing strong responses to selection ligands.

Project description:OX40 is a member of the TNF receptor family expressed on activated and regulatory T (Treg) cells. Using an Ox40-cre allele for lineage marking, we found that a subpopulation of naive T cells had also previously expressed OX40 in the thymus. Ox40-cre was induced in a small fraction of thymocytes that were OX40(+), some of which were CD25(high) Treg cell precursors. Thymic OX40 expression distinguished cells experiencing a strong signaling response to positive selection. Naive T cells that had previously expressed OX40 demonstrated a partially activated phenotype that was distinct from that of most naive T cells. The results are consistent with the selection of Treg cells and a minor subpopulation of naive T cells being dependent on strong signaling responses to thymic self ligands.

| S-EPMC2736618 | biostudies-literature

Unique properties of thymic antigen-presenting cells promote epigenetic imprinting of alloantigen-specific regulatory T cells.

Project description:Regulatory T cells (Tregs) are potential immunotherapeutic candidates to induce transplantation tolerance. However, stability of Tregs still remains contentious and may potentially restrict their clinical use. Recent work suggested that epigenetic imprinting of Foxp3 and other Treg-specific signature genes is crucial for stabilization of immunosuppressive properties of Foxp3+ Tregs, and that these events are initiated already during early stages of thymic Treg development. However, the mechanisms governing this process remain largely unknown. Here we demonstrate that thymic antigen-presenting cells (APCs), including thymic dendritic cells (t-DCs) and medullary thymic epithelial cells (mTECs), can induce a more pronounced demethylation of Foxp3 and other Treg-specific epigenetic signature genes in developing Tregs when compared to splenic DCs (sp-DCs). Transcriptomic profiling of APCs revealed differential expression of secreted factors and costimulatory molecules, however neither addition of conditioned media nor interference with costimulatory signals affected Foxp3 induction by thymic APCs in vitro. Importantly, when tested in vivo both mTEC- and t-DC-generated alloantigen-specific Tregs displayed significantly higher efficacy in prolonging skin allograft acceptance when compared to Tregs generated by sp-DCs. Our results draw attention to unique properties of thymic APCs in initiating commitment towards stable and functional Tregs, a finding that could be highly beneficial in clinical immunotherapy.

| S-EPMC5482597 | biostudies-literature

Specialized transendothelial dendritic cells mediate thymic T-cell selection against blood-borne macromolecules.

Project description:T cells undergo rigorous selection in the thymus to ensure self-tolerance and prevent autoimmunity, with this process requiring innocuous self-antigens (Ags) to be presented to thymocytes. Self-Ags are either expressed by thymic stroma cells or transported to the thymus from the periphery by migratory dendritic cells (DCs); meanwhile, small blood-borne peptides can access the thymic parenchyma by diffusing across the vascular lining. Here we describe an additional pathway of thymic Ag acquisition that enables circulating antigenic macromolecules to access both murine and human thymi. This pathway depends on a subset of thymus-resident DCs, distinct from both parenchymal and circulating migratory DCs, that are positioned in immediate proximity to thymic microvessels where they extend cellular processes across the endothelial barrier into the blood stream. Transendothelial positioning of DCs depends on DC-expressed CX3CR1 and its endothelial ligand, CX3CL1, and disrupting this chemokine pathway prevents thymic acquisition of circulating proteins and compromises negative selection of Ag-reactive thymocytes. Thus, transendothelial DCs represent a mechanism by which the thymus can actively acquire blood-borne Ags to induce and maintain central tolerance.

| S-EPMC8553756 | biostudies-literature

Using Grounded Theory Method to Capture and Analyze Health Care Experiences.

Project description:ObjectiveGrounded theory (GT) is an established qualitative research method, but few papers have encapsulated the benefits, limits, and basic tenets of doing GT research on user and provider experiences of health care services. GT can be used to guide the entire study method, or it can be applied at the data analysis stage only.MethodsWe summarize key components of GT and common GT procedures used by qualitative researchers in health care research. We draw on our experience of conducting a GT study on amyotrophic lateral sclerosis patients' experiences of health care services.FindingsWe discuss why some approaches in GT research may work better than others, particularly when the focus of study is hard-to-reach population groups. We highlight the flexibility of procedures in GT to build theory about how people engage with health care services.ConclusionGT enables researchers to capture and understand health care experiences. GT methods are particularly valuable when the topic of interest has not previously been studied. GT can be applied to bring structure and rigor to the analysis of qualitative data.

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Identification of biomarkers that distinguish chemical contaminants using a gradient feature selection method

Project description:There are many toxic chemicals to contaminate the world and cause harm to human and other organisms. How to quickly discriminate these compounds and characterize their potential molecular mechanism and toxicity is essential. High through put transcriptomics profiles such as microarray have been proven useful to identify biomarkers for different classification and toxicity prediction purposes. Here we aim to investigate how to use microarray to predict chemical contaminants and their possible mechanisms. In this study, we divided 105 compounds plus vehicle control into 14 compound classes. On the basis of gene expression profiles of in vitro primary cultured hepatocytes, we comprehensively compared various normalization, feature selection and classification algorithms for the classification of these 14 class compounds. We found that normalization had little effect on the averaged classification accuracy. Two support vector machine methods LibSVM and SMO had better classification performance. When feature sizes were smaller, LibSVM outperformed other classification methods. Simple logistic algorithm also performed well. At the training stage, usually the feature selection method SVM-RFE performed the best, and PCA was the poorest feature selection algorithm. But overall, SVM-RFE had the highest overfitting rate when an independent dataset used for a prediction in this case. Therefore, we developed a new feature selection algorithm called gradient method which had a pretty high training classification as well as prediction accuracy with the lowest over-fitting rate. Through the analysis of biomarkers that distinguished 14 class compounds, we found a goup of genes that mainly invovled in cell cylce were significanly downregulated by the metal and inflammatory compounds, but were induced by anti-microbial, cancer related drugs, pesticides, and PXR mediators.

2010-01-05 | GSE19662 | GEO

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