Project description:We previously found that NF-kB inducing kinase (NIK) overexpression in T cells via CD4 promoter driven transgene induction caused lethal autoimmunity in mice. Autoimmunity was associated with increased conventional T cell effector function and decreased regulatory T cell (Foxp3+CD4+) suppression. The goal in this study was to elucidate global transcriptional changes in Foxp3+CD4+ and Foxp3-CD4+ T cells intrinsically caused by chronic NIK overexpression in these cell types.
Project description:We previously found that NF-kB inducing kinase (NIK) overexpression in T cells via CD4 promoter driven transgene induction caused lethal autoimmunity in mice. Autoimmunity was associated with increased conventional T cell effector function and decreased regulatory T cell (Foxp3+CD4+) suppression. The goal in this study was to elucidate global transcriptional changes in Foxp3+CD4+ and Foxp3-CD4+ T cells intrinsically caused by chronic NIK overexpression in these cell types. Total RNA from FACS-sorted NIKtg and WT Foxp3RFP+CD4+ and Foxp3RFP-CD4+ harvested from NIKtg/CD4Cre/Foxp3RFP + WT/Thy1.1/Foxp3RFP mixed bone marrow chimeric mice, >8 weeks after bone marrow reconstitution.
Project description:Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. Abstract: FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations. RNA was extracted from freshly obtained peripheral blood lymphocytes from a healthy donor that were separated according to their expression of CD25, CD127 and CD45RA after surface staining.
Project description:Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. Abstract: FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations.
Project description:Regulatory T cells expressing the transcription factor Foxp3 play indispensable roles for the induction and maintenance of immunological self-tolerance and immune homeostasis. Genome-wide mRNA expression-studies have defined canonical signatures of T-cell subsets. Changes in steady-state mRNA levels do, however, often not reflect those of corresponding proteins due to post-transcriptional mechanisms including mRNA translation. Here, we unveil a unique translational signature, contrasting CD4+Foxp3+ regulatory T (TFoxp3+) and CD4+Foxp3- non-regulatory T (TFoxp3-) cells, which imprints subset-specific protein expression. We further show that translation of eukaryotic translation initiation factor 4E (eIF4E) is induced during T-cell activation and, in turn, regulates translation of cell cycle related mRNAs and proliferation in both TFoxp3- and TFoxp3+ cells. Unexpectedly, eIF4E also affects Foxp3 expression and thereby lineage identity. Thus, mRNA-specific translational control directs both common and distinct cellular processes in CD4+ T-cell subset. CD4+/Foxp3+ and CD4+Foxp3- cells were studied ex vivo or activated in vitro for 36h. Both polysome-associated and cytoplasmic RNA was isolated to enables studies of translational control
Project description:Functionally distinct CD4+ helper T (Th) cell subsets, such as Th1, Th2, Th17, and regulatory T cells (Treg), play a pivotal role in the host-defense against pathogen invasion and the pathogenesis of inflammatory disorders. In this project, DIA-MS-based proteome analysis was performed on naïve CD4+ T, Th0, Th1, Th2, Th17 and iTreg cells using Q Exactive HF-X (Thermo Fisher Scientific) to search for proteins that differ among the cell subsets.
Project description:In this study, we compared the proteomes of mouse CD4+Foxp3+ regulatory T cells (Treg) and CD4+Foxp3- conventional T cells (Tconv) in order to build a data set of proteins differentially regulated in these two cell populations. The data set contains mass spectrometry results from the analysis of 7 biological replicates of Treg/Tconv cell samples purified by flow cytometry, each experiment performed from a pool of 4-5 mice. Global proteomic analysis of each sample was performed by single-run nanoLC-MS/MS, using chromatographic separation of peptides on 50cm C18 reverse-phase columns, with either a 480min gradient on LTQ-Velos orbitrap mass spectrometer (replicates 1 and 2) or a 300min gradient on Q-Exactive orbitrap mass spectrometer (replicates 3-7). Several MS injection replicates were performed for some experiments, leading to 27 raw files composing the data set. The detailed description of each analysis (file name, sample type, biological replicate number, MS technical replicate number, MS instrument used, sample name in MaxQuant ouput) is given in the table “Files list.txt”.