This SuperSeries is composed of the SubSeries listed below.
KAP1 regulates gene networks controlling T-cell development and responsiveness.
Specimen part
View SamplesThe modulation of chromatin status at specific genomic loci controls lymphoid differentiation. Here, we investigated the role played in this process by KAP1, the universal cofactor of KRAB-containing Zinc Finger Proteins (KRAB-ZFPs), a tetrapod-restricted family of transcriptional repressors. T cell-specific Kap1 knockout mice displayed a significant expansion of immature thymocytes and imbalances in the ratios of mature T cells in the thymus and the spleen, with impaired responses to TCR stimulation. Transcriptome and chromatin studies revealed that KAP1 directly controls the expression of a number of genes involved in TCR and cytokine signalling, among which Traf1 and FoxO1, and is strongly associated with cis-acting regulatory elements marked by the H3K9me3 repressive mark on the genome of thymic T cells. Likely responsible for tethering KAP1 to at least part of its genomic targets, a small number of KRAB/ZFPs are selectively expressed in T lymphoid cells. These results reveal the so far unsuspected yet important role of KRAB/KAP1-mediated epigenetic regulation in T lymphocyte differentiation and activation.
KAP1 regulates gene networks controlling T-cell development and responsiveness.
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View SamplesThis SuperSeries is composed of the SubSeries listed below.
KAP1 regulates gene networks controlling mouse B-lymphoid cell differentiation and function.
Specimen part
View SamplesChromatin remodeling is fundamental for B cell differentiation. Here, we explored the role in this process of KAP1, the cofactor of KRAB-ZFP transcriptional repressors. B lymphoid-specific Kap1 knockout mice displayed reduced numbers of mature B cells, lower steady-state levels of antibodies and accelerated rates of decay of neutralizing antibodies following viral immunization. Transcriptome analyses of Kap1-deleted B splenocytes revealed an upregulation of PTEN, the enzymatic counter-actor of PIK3 signaling, and of genes encoding DNA damage response factors, cell-cycle regulators and chemokine receptors. ChIP/seq studies established that KAP1 bound at or close to a number of these genes, and controlled chromatin status at their promoters. Genome-wide, KAP1-binding sites avoided active B cell-specific enhancers and were enriched in repressive histone marks, further supporting a role for this molecule in gene silencing in vivo. Likely responsible for tethering KAP1 to at least some of these targets, a discrete subset of KRAB-ZFPs is enriched in B lymphocytes. This work thus reveals the role of KRAB/KAP1-mediated epigenetic regulation in B cell development and homeostasis.
KAP1 regulates gene networks controlling mouse B-lymphoid cell differentiation and function.
Specimen part
View SamplesAbstract: Immune subversion represents a hallmark of persistent infection, but microbial suppression of B cell responses remains mechanistically ill-defined. Adoptive transfer experiments in a chronic viral infection model evidenced the rapid and profound decimation of B cells that responded to virus or to concomitantly administered protein. Decimation affected naïve and memory B cells and resulted from biased differentiation into short-lived antibody-secreting cells. It was driven by type I interferon (IFN-I) signaling to several cell types including dendritic cells, T cells and myeloid cells. Durable B cell responses were restored upon IFN-I receptor blockade or, partially, when depleting myeloid cells or key IFN-I-induced cytokines. B cell decimation represents a molecular mechanism of humoral immune subversion and reflects an unsustainable “all-in” response of B cells in IFN-I-driven inflammation. Overall design: We adoptively transferred naïve KL25HL cells (LCMV-WE-GP-specific B cells) to aIFNAR- or isotype control-treated syngeneic recipient mice, followed by rLCMV-Cl13/WE-GP. On day 3 of infection, spleen were harvested and proliferated KL25HL B cell progeny (CD45.1+B220+CFSElo) were FACS-sorted and total RNA was processed for RNAseq. n=4
Interferon-driven deletion of antiviral B cells at the onset of chronic infection.
Age, Specimen part, Cell line, Subject
View SamplesCD4 T cells promote innate and adaptive immune responses, but how vaccine-elicited CD4 T cells contribute to immune protection remains unclear.
Vaccine-elicited CD4 T cells induce immunopathology after chronic LCMV infection.
Specimen part, Time
View SamplesPathogen-associated molecular patterns decisively influence antiviral immune responses, whereas the contribution of endogenous signals of tissue damage, also known as damage-associated molecular patterns or alarmins, remains ill-defined. We show that interleukin-33 (IL-33), an alarmin released from necrotic cells, is necessary for potent CD8+ T cell (CTL) responses to replicating, prototypic RNA and DNA viruses in mice. IL-33 signaled through its receptor on activated CTLs, enhanced clonal expansion in a MyD88-dependent, CTL-intrinsic fashion, determined polyfunctional effector cell differentiation and was necessary for virus control. Moreover, recombinant IL-33 augmented vaccine-induced CTL responses. Radio-resistant cells of the splenic T cell zone produced IL-33, and efficient CTL responses required IL-33 from radio-resistant cells but not from hematopoietic cells. Thus, alarmin release by radio-resistant cells orchestrates protective antiviral CTL responses.
The alarmin interleukin-33 drives protective antiviral CD8⁺ T cell responses.
Specimen part
View SamplesPurpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goal of this study is to compare the transcriptome of OT-1 cells during priming (3 days after infection) and during effector phase ( 7 days after infection) in ODC-OVA mice after LCMV-OVA and Lm-OVA infection Overall design: OT-1 mRNA profiles of 7-weeks old ODC-OVA mice adoptively transfered with 10^5 OT-1 CD45.1 cells 3 and 7 days after i.v. infection with LCMV-OVA and Lm-OVA (deep sequencing, in triplicate, using Illumina).
Expression of the DNA-Binding Factor TOX Promotes the Encephalitogenic Potential of Microbe-Induced Autoreactive CD8<sup>+</sup> T Cells.
Cell line, Subject
View SamplesPurpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goal of this study is to compare the transcriptome of CNS-infiltrating OT-1 WT and Tox-deficient cells during effector phase (7 days after infection with LCMV-OVA) Overall design: OT-1 mRNA profiles of 7-weeks old ODC-OVA mice adoptively transfered with 10^5 OT-1 CD45.1 cells (WT and Tox-deficient) 7 days after i.v. infection with LCMV-OVA (deep sequencing, in triplicate, using Illumina).
Expression of the DNA-Binding Factor TOX Promotes the Encephalitogenic Potential of Microbe-Induced Autoreactive CD8<sup>+</sup> T Cells.
Cell line, Subject
View SamplesPurpose: mRNA translation into protein is highly regulated, but the role of mRNA isoforms, noncoding RNAs (ncRNAs), and genetic variants has yet to be systematically studied. Using high-throughput sequencing (RNA-seq), we have measured cellular levels of mRNAs and ncRNAs, and their isoforms, in lymphoblast cell lines (LCL) and in polysomal fractions, the latter shown to yield strong correlations of mRNAs with expressed protein levels. Analysis of allelic RNA ratios at heterozygous SNPs served to reveal genetic factors in ribosomal loading. Methods: RNA-seq was performed on cytosolic extracts and polysomal fractions (3 ribosomes or more) from three lymphoblastoid cell lines. As each RNA fraction was amplified (NuGen kit), and relative contributions from various RNA classes differed between cytosol and polysomes, the fraction of any given RNA species loaded onto polysomes was difficult to quantitate. Therefore, we focused on relative recovery of the various RNA classes and rank order of single RNAs compared to total RNA. Results: RNA-seq of coding and non-coding RNAs (including microRNAs) in three LCLs revealed significant differences in polysomal loading of individual RNAs and isoforms, and between RNA classes. Moreover, correlated distribution between protein-coding and non-coding RNAs suggests possible interactions between them. Allele-selective RNA recruitment revealed strong genetic influence on polysomal loading for multiple RNAs. Allelic effects can be attributed to generation of different RNA isoforms before polysomal loading or to differential loading onto polysomes, the latter defining a direct genetic effect on translation. Several variants and genes identified by this approach are also associated with RNA expression and clinical phenotypes in various databases. Conclusions: These results provide a novel approach using complete transcriptome RNA-seq to study polysomal RNA recruitment and regulatory variants affecting protein translation. Overall design: cells from 3 samples were grown to 5x105 cells/mL density in T75 tissue culture flask and harvested, total RNA and polysome bound RNA was sequenced by Ion Proton
Allele-Selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-Coding and Noncoding RNAs, and RNA Isoforms.
No sample metadata fields
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