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accession-icon GSE113968
The induction and transcriptional regulation of the co-inhibitory gene module in T cells by IL-27
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Induction and transcriptional regulation of the co-inhibitory gene module in T cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE18668
Differentiation of NUT midline carcinoma by epigenomic reprogramming
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Knockdown of the oncogene, BRD4-NUT, in a rare cancer, termed NUTmidline carcinoma (NMC), results in morphologic features consistent with squamous differentiation. Treatment with the HDAC-inhibitor, TSA, appears to cause the same phenotype. Here, we use gene expression profiling to compare the changes in gene expression following BRD4-NUT knockdown and TSA treatment.

Publication Title

Differentiation of NUT midline carcinoma by epigenomic reprogramming.

Sample Metadata Fields

Cell line

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accession-icon GSE113216
Microarray expression data of nave CD4 and CD8 T cells stimulated with IL27.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Expression of co-inhibitory receptors, such as CTLA-4 and PD-1, on effector T cells is a key mechanism for ensuring immune homeostasis. Dysregulated co-inhibitory receptor expression on CD4+ T cells promotes autoimmunity while sustained overexpression on CD8+ T cells promotes T cell dysfunction or exhaustion, leading to impaired ability to clear chronic viral infections and cancer. Here, we used RNA and protein expression profiling at single-cell resolution to identify a module of co-inhibitory receptors that includes not only several known co-inhibitory receptors (PD-1, Tim-3, Lag-3, and TIGIT), but also a number of novel surface receptors. We functionally validated two novel co-inhibitory receptors, Activated protein C receptor (Procr) and Podoplanin (Pdpn). The module of co-inhibitory receptors is co-expressed in both CD4+ and CD8+ T cells and is part of a larger co-inhibitory gene program that is shared by non-responsive T cells in multiple physiological contexts and is driven by the immunoregulatory cytokine IL-27. Computational analysis identified the transcription factors Prdm1 and c-Maf as cooperative regulators of the co-inhibitory module, which we validated experimentally. This molecular circuit underlies the co-expression of co-inhibitory receptors in T cells and identifies novel regulators of T cell function with the potential to regulate autoimmunity and tumor immunity.

Publication Title

Induction and transcriptional regulation of the co-inhibitory gene module in T cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE92940
Expression data for wildtype CD4+ T cells cells differentiated in Tr1 conditions for 2 hours
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

Type 1 regulatory T (Tr1) cells are induced by the interleukin-27 (IL-27) and have critical roles in the control of autoimmunity and resolution of inflammation. Here, we show that the transcription factors IRF1 and BATF are induced early during treatment with IL-27 and are required for the differentiation and function of Tr1 cells in vitro and in vivo . Epigenetic and transcriptional analyses reveal that both transcription factors influence chromatin accessibility and expression of genes required for Tr1 cell function. IRF1 and BATF deficiencies uniquely alter the chromatin landscape, suggesting that these factors serve a pioneering function during Tr1 cell differentiation.

Publication Title

Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation.

Sample Metadata Fields

Specimen part, Treatment

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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