refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 31 results
Sort by

Filters

Technology

Platform

accession-icon GSE38351
The multifaceted balance of TNF-a and type I / II interferon responses in SLE and RA: how monocytes manage the impact of cytokines
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Many cytokines are involved in the pathogenesis of autoimmune diseases and are recognized as relevant therapeutic targets to attenuate inflammation, such as TNF in RA and IFN/ in SLE. To relate the transcriptional imprinting of cytokines in a cell type-specific and disease-specific manner, we generated gene-expression profiles from peripheral monocytes of SLE and RA patients and compared them to in vitro-generated signatures induced by TNF, IFN2a and IFN. Monocytes from SLE and RA patients revealed disease-specific gene-expression profiles. In vitro-generated signatures induced by IFN2a and IFN showed similar profiles that only partially overlapped with those induced by TNF. Comparisons between disease-specific and in vitro-generated signatures identified cytokine-regulated genes in SLE and RA with qualitative and quantitative differences. The IFN-responses in SLE and RA were found to be regulated in a STAT1-dependent and STAT1-independent manner, respectively. Similarly, genes recognized as TNF-regulated were clearly distinguishable between RA and SLE patients. While the activity of SLE monocytes was mainly driven by IFN, the activity from RA monocytes showed a dominance of TNF that was characterized by STAT1 down-regulation. The responses to specific cytokines were revealed to be disease-dependent and reflected the interplay of cytokines within various inflammatory milieus. This study has demonstrated that monocytes from RA and SLE patients exhibit disease-specific gene-expression profiles, which can be molecularly dissected when compared to in vitro-generated cytokine signatures. The results suggest that an assessment of cytokine-response status in monocytes may be helpful for improvement of diagnosis and selection of the best cytokine target for therapeutic intervention.

Publication Title

The multifaceted balance of TNF-α and type I/II interferon responses in SLE and RA: how monocytes manage the impact of cytokines.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject

View Samples
accession-icon GSE51997
T helper lymphocyte- and monocyte-specific type I interferon (IFN) signatures in autoimmunity and viral infection.
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study demonstrates quantitative and qualitative differences between type I IFN signatures in autoimmunity and viral infection using purified CD4pos T cells and CD16pos- and CD16neg-monocyte subsets. We were able to discriminate between cell-specific viral response signatures and the pathogenically amplified IFN signatures observed in autoimmunity. The differences were of both a qualitative and quantitative nature, as the signatures in the patients with SLE were characterized by much more complexly compiled gene patterns with increased absolute gene expression levels.

Publication Title

Cell-specific type I IFN signatures in autoimmunity and viral infection: what makes the difference?

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE50677
Human memory T cells of the bone marrow are resting and maintain long-lasting memory
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To compare human memory CD4+ T cell subsets in peripheral blood (PB) and bone marrow (BM) of healthy individuals at transcriptional level, we analyzed the global gene expression of ex vivo PB CD69- as well as BM CD69- and CD69+ memory CD4+ T cells from 4 paired PB and BM samples. The gene expression of these subsets was additionally compared to the transcriptional profile of 8 PB samples taken ex vivo or stimulated with phorbol myristate acetate (PMA) and Ionomycin for 3 hours.

Publication Title

Human memory T cells from the bone marrow are resting and maintain long-lasting systemic memory.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE54247
Influence of isolation procedure and storage condition on the ex vivo gene expression pattern in peripheral human effector/memory T helper lymphocytes
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of cells isolated ex vivo is a unique tool to assess gene expression in vivo. Exemplified for CD4+CD45RO+ effector/memory T helper (T E/M) lymphocytes of human peripheral blood, we have analyzed different isolation procedures and storage conditions for the introduction of bias.

Publication Title

Unbiased transcriptomes of resting human CD4⁺ CD45RO⁺ T lymphocytes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE35998
Gene expression of murine B cells activated via TLR4 or TLR4 + CD40: Group1 nave B cells, Group2 LPS activated B cells 24h, Group3 LPS + anti-CD40 activated B cells 24h, Group4 LPS activated B cells 72h, and Group5 LPS + anti-CD40 activated B cells 72h.
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Murine B cells can be activated via the surface receptors TLR4 and CD40. For a global assessment of differences in gene expression between these two different modes of B cell activation a genome wide transcriptome analysis was performed. In order to dissect different gene expression profiles of B cells, activation was induced by LPS or LPS + anti-CD40 for 24h and 72h. Both activation states were compared to each other but also to nave B cells.

Publication Title

IL-35-producing B cells are critical regulators of immunity during autoimmune and infectious diseases.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE62691
Gene expression of resting memory, resting naive and in vitro activated memory CD8+CD127+ T cells from spleen and bone marrow (BM)
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To understand differences between resting and activated memory CD8+ T cells, we compared the global gene expression of ex vivo isolated naive and spleen and BM memory cells to in vitro activated spleen and BM memory cells.

Publication Title

Memory CD8(+) T cells colocalize with IL-7(+) stromal cells in bone marrow and rest in terms of proliferation and transcription.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE46970
Gene expression of 4, 5, and 6 days differentiated Flk1+ WT ES cells, and of 6 days differentiated Flk1+ Runx1-/- and Tal-1-/- ES cells
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to identify genes that are activated in differentiating WT ESCs, but are missing in Tal-1-/- and Runx1-/- ESCs, and which might be involved in the generation of definitive hematopoietic progenitors and their specification thereafter, we performed microarray analyses on purified Flk-1+ cells, differentiated from these ESCs for 4, 5, and 6 days in vitro.

Publication Title

Ectopic Runx1 expression rescues Tal-1-deficiency in the generation of primitive and definitive hematopoiesis.

Sample Metadata Fields

Specimen part, Cell line, Time

View Samples
accession-icon GSE47643
Gene expression of in vitro cultivated preB cells before and after 8, 16 and 24 hours induction of miR-221
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

PreB cells were analyzed for differences in gene expression before and after the overexpression of miR-221. In order to dissect possible targets for the miR-221, gene expression profiles of preB cells un-induced or induced for the miR-221 expression after 8, 16 and 24 hours were compared. All induction time-points, e.g. after 8, 16 and 24 hours were compared to un-induced preB cells and to each other group.

Publication Title

SiPaGene: A new repository for instant online retrieval, sharing and meta-analyses of GeneChip expression data.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE64696
Gene expression of Th cells, macrophages and monocytes derived from WT and Tbx21-/- Th cell-induced colitis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We compared gene expression profiles of Th cells, macrophages and monocytes isolated from the inflamed colon of colitis induced by the transfer of WT versus Tbx21-/- Th cells in Rag1-/- recipients.

Publication Title

T-bet expression by Th cells promotes type 1 inflammation but is dispensable for colitis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE11556
Autoregulation of Th1-mediated inflammation by twist1
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a), Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2), Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Autoregulation of Th1-mediated inflammation by twist1.

Sample Metadata Fields

No sample metadata fields

View Samples

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact