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Transcription profiling of mouse SMARTA transgenic cells in response to LCMV or Lm-gp61 infection

ABSTRACT: Following infection with LCMV, CD4+ SMARTA TCR transgenic cells (specific for the gp61-80 epitope of the LCMV glycoprotein) rapidly expand, become effector cells, and go on to form a long-lived memory population. Following infection with a recombinant Listeria monocytogenes expressing the LCMV epitope gp61-80, SMARTA cells also expand but display defective effector differentiation and fail to form memory. In an attempt to understand the signals required for CD4 T cell memory differentiation, we compared gene expression by SMARTA cells at the peak of the primary response following either Lm-gp61 or LCMV infection. Experiment Overall Design: SMARTA cells were purified at day 7 post-infection with either LCMV or Lm-gp61. SMARTA cells were sorted on the basis of Thy1.1 expression using a FACSAria. Cells were sorted through the machine twice to enhance purity. Two biological replicates of each group are provided. Each replicate represents the results of SMARTA pooled from three animals.

ORGANISM(S): Mus musculus

SUBMITTER: Matthew Williams

PROVIDER: E-GEOD-10094 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Gene expression analysis of SMARTA in response to LCMV or Lm-gp61 infection

Project description:Following infection with LCMV, CD4+ SMARTA TCR transgenic cells (specific for the gp61-80 epitope of the LCMV glycoprotein) rapidly expand, become effector cells, and go on to form a long-lived memory population. Following infection with a recombinant Listeria monocytogenes expressing the LCMV epitope gp61-80, SMARTA cells also expand but display defective effector differentiation and fail to form memory. In an attempt to understand the signals required for CD4 T cell memory differentiation, we compared gene expression by SMARTA cells at the peak of the primary response following either Lm-gp61 or LCMV infection. Keywords: response to LCMV or Lm-gp61 infection

2008-01-11 | GSE10094 | GEO

Expression data from virus-specific mouse Th1 and Tfh CD4 T cell subsets after LCMV infection

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2013-04-22 | E-GEOD-43863 | biostudies-arrayexpress

Transcription profiling of mouse vivo follicular helper CD4 T cells (TFH) versus non follicular helper CD4 T cells (non-TFH)

Project description:Analysis of in vivo antigen-specific (LCMV-specific, SMARTA TCR transgenic) follicular helper CD4 T cells (CXCR5high),versus non-follicular helper CD4 T cells (CXCR5low), eight days after viral infection. A paper including data analysis of these experiments has been accepted for publication (Robert J. Johnston et al. Bcl6 and Blimp-1 are reciprocal and antagonistic regulators of follicular helper CD4 T cell differentiation). Experiment Overall Design: Analysis of in vivo antigen-specific (LCMV-specific, SMARTA TCR transgenic) follicular helper CD4 T cells (CXCR5high), versus non-follicular helper CD4 T cells (CXCR5low), eight days after viral infection.

2009-08-07 | E-GEOD-16697 | biostudies-arrayexpress

Expression Data from WT and Sh2d1a-/- in vivo follicular helper CD4 T cells (TFH) versus non follicular helper CD4 T cells (non-TFH)

Project description:CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation. Analysis of in vivo antigen-specific (LCMV-specific, SMARTA TCR transgenic) WT and Sh2d1a-/- follicular helper CD4 T cells (CXCR5high),versus non-follicular helper CD4 T cells (CXCR5low), eight days after viral infection.

2010-04-28 | E-GEOD-21379 | biostudies-arrayexpress

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2015-05-14 | E-GEOD-60186 | biostudies-arrayexpress

Expression data from primary and secondary CD4 T cell effectors responding towards influenza A virus infection

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2012-08-27 | E-GEOD-40230 | biostudies-arrayexpress

Whole genome transcriptome analysis of tumor-specific CD8 T cells in pre-malignant lesions

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2016-08-11 | E-GEOD-60501 | biostudies-arrayexpress

The microRNA cluster miR-17~92 promotes TFH cell differentiation and represses subset-inappropriate gene expression

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Project description:In this study, we sought to distinguish phenotypically and functionally distinct virus-specific effector CD4 T cell subsets that form during acute lymphocytic choriomeningitis virus (LCMV) infection and to examine their ability to develop into memory T cells. To further characterize the effector subsets and identify genetic pathways and transcription factors involved in their differentiation, we performed genome-wide gene expression profiling of the three day 8 effector cell populations: (1) PSGL1hi Ly6Chi, (2) PSGL1hi Ly6Clo and (3) PSGL1lo Ly6Clo Smarta CD4 T cells along with (4) day 60 memory PSGL1hi and (5) naïve Smarta CD4 T cells using Illumina BeadChips. Results of this microarray confirmed the validity of our phenotyping by flow cytometry in many ways and showed distinct gene signatures for the three effector subsets. DNA microarray analysis was performed on two or three independent samples of five different Smarta CD4 T cell populations: (1) naïSGL1lo, (3) day 8 PSGL1hi Ly6Clo, (4) day 8 PSGL1hi Ly6Clo and (5) day 60 PSGL1hi memory cells.

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