Multimodal human thymic profiling reveals trajectories and cellular milieu for T agonist selection
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PROVIDER: PRJNA854141 | ENA |
REPOSITORIES: ENA
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Project description:Multimodal human thymic profiling reveals trajectories and cellular milieu for T agonist selection [Spatial transcriptomics]
| PRJNA854149 | ENA
Project description:Multimodal human thymic profiling reveals trajectories and cellular milieu for T agonist selection [CITE-seq]
| PRJNA854148 | ENA
Project description:To prevent autoimmunity, thymocytes expressing self-reactive T cell receptors (TCRs) are negatively selected, however, divergence into tolerogenic, agonist-selected lineages represent an alternative fate. As thymocyte development, selection, and lineage choices are dependent on spatial context and cell-to-cell interactions, we have performed Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq) and spatial transcriptomics on paediatric human thymus. Thymocytes expressing markers of strong TCR signalling diverged from the conventional developmental trajectory prior to CD4+ lineage commitment, while markers of different agonist cell populations (CD8αα(I), CD8αα(II), T(agonist), Treg(diff) and Treg) exhibited variable timing of induction. Expression profiles of chemokines and co-stimulatory molecules, together with spatial localization, supported that dendritic cells, B cells, and stromal cells contribute to agonist selection, with different subsets influencing thymocytes at specific developmental stages within distinct spatial niches. Understanding factors influencing agonist T cells is needed to benefit from their immunoregulatory effects in clinical use.
2023-02-01 | GSE207205 | GEO
Project description:To prevent autoimmunity, thymocytes expressing self-reactive T cell receptors (TCRs) are negatively selected, however, divergence into tolerogenic, agonist-selected lineages represent an alternative fate. As thymocyte development, selection, and lineage choices are dependent on spatial context and cell-to-cell interactions, we have performed Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq) and spatial transcriptomics on paediatric human thymus. Thymocytes expressing markers of strong TCR signalling diverged from the conventional developmental trajectory prior to CD4+ lineage commitment, while markers of different agonist cell populations (CD8αα(I), CD8αα(II), T(agonist), Treg(diff) and Treg) exhibited variable timing of induction. Expression profiles of chemokines and co-stimulatory molecules, together with spatial localization, supported that dendritic cells, B cells, and stromal cells contribute to agonist selection, with different subsets influencing thymocytes at specific developmental stages within distinct spatial niches. Understanding factors influencing agonist T cells is needed to benefit from their immunoregulatory effects in clinical use.
2023-02-01 | GSE207204 | GEO
Project description:To prevent autoimmunity, thymocytes expressing self-reactive T cell receptors (TCRs) are negatively selected, however, divergence into tolerogenic, agonist selected lineages represent an alternative fate. As thymocyte development, selection, and lineage choices are dependent on spatial context and cell-to-cell interactions, we have performed Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq) and spatial transcriptomics on paediatric human thymus. Thymocytes expressing markers of strong TCR signalling diverged from the conventional developmental trajectory prior to CD4+ or CD8+ lineage commitment, while markers of different agonist selected T cell populations (CD8αα(I), CD8αα(II), T(agonist), Treg(diff), and Treg) exhibited variable timing of induction. Expression profiles of chemokines and co-stimulatory molecules, together with spatial localisation, supported that dendritic cells, B cells, and stromal cells contribute to agonist selection, with different subsets influencing thymocytes at specific developmental stages within distinct spatial niches. Understanding factors influencing agonist T cells is needed to benefit from their immunoregulatory effects in clinical use.
| S-EPMC9895842 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2023-02-01 | GSE207206 | GEO
Project description:Temporal multimodal single-cell profiling of native hematopoiesis illuminates altered differentiation trajectories with age
| PRJNA733218 | ENA
Project description:TCRαβ+CD8αα+ intraepithelial lymphocytes (CD8αα+ αβ IELs), a specialized subset of T cells in the gut epithelium, develop from thymic agonist-selected IEL precursors (IELps). The molecular mechanisms underlying the selection and differentiation of this T cell type in the thymus are largely unknown. Here, we found that Bcl6 deficiency in αβ T cells resulted in nearly the absence of CD8αα+ αβ IELs. BCL6 was expressed by approximately 50% of CD8αα+ αβ IELs but the majority thymic PD1+ IELps post agonist selection; its deficiency blocked early IELp generation in the thymus. Moreover, BCL6 expression in IELps was induced by thymic TCR signaling in an ERK-dependent manner. As a result of Bcl6 deficiency, the precursors of IELps among CD4+CD8+ double positive (DP) thymocytes exhibited increased apoptosis during agonist selection, and impaired IELp differentiation and maturation. Taken together, our results elucidate BCL6 as a crucial transcription factor during the thymic development of CD8αα+ αβ IELs.
2024-02-26 | GSE248163 | GEO
Project description:The simultaneous measurement of multiple modalities, known as multimodal analysis, represents an exciting frontier for single-cell genomics and necessitates new computational methods that can define cellular states based on multiple data types. Here, we introduce ‘weighted-nearest neighbor’ analysis, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities. We apply our procedure to a CITE-seq dataset of hundreds of thousands of human white blood cells alongside a panel of 228 antibodies to construct a multimodal reference atlas of the circulating immune system. We demonstrate that integrative analysis substantially improves our ability to resolve cell states and validate the presence of previously unreported lymphoid subpopulations. Moreover, we demonstrate how to leverage this reference to rapidly map new datasets, and to interpret immune responses to vaccination and COVID-19. Our approach represents a broadly applicable strategy to analyze single-cell multimodal datasets, including paired measurements of RNA and chromatin state, and to look beyond the transcriptome towards a unified and multimodal definition of cellular identity.
2021-01-15 | GSE164378 | GEO
Project description:Dynamic changes to the epigenome mediate key neurobiological and cognitive processes in the central nervous system, and also play a role in transcriptional regulation during brain development. Although the importance of DNA methylation in brain development is highlighted by the neurodevelopmental deficits associated with mutations in genes including methyl-CpG binding protein 2 (MECP2), our knowledge about the specific methylomic trajectories associated with human neurodevelopment is extremely limited. Here we report an analysis of genome-wide patterns of DNA methylation in 179 human fetal cortex samples. Bisulphite converted DNA from 179 human brain samples was hybridized to the Illumina 450K Human Methylation Beadchip.
2014-12-19 | E-GEOD-58885 | biostudies-arrayexpress