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accession-icon GSE17449
Transcription signature of Multiple Sclerosis
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Learning from nature: pregnancy changes the expression of inflammation-related genes in patients with multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE17410
Pregnancy changes expression in peripheral blood mononuclear cells of Multiple Sclerosis (MS) patients
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Background: pregnancy is associated with reduced activity of multiple sclerosis (MS). However, the biological mechanisms underlying this pregnancy-related decrease in disease activity are poorly understood.

Publication Title

Learning from nature: pregnancy changes the expression of inflammation-related genes in patients with multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE17393
Transcription signature of Multiple Sclerosis in peripheral blood mononuclear cells.
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Background: pregnancy is associated with reduced activity of multiple sclerosis (MS). However, the biological mechanisms underlying this pregnancy-related decrease in disease activity are poorly understood.

Publication Title

Learning from nature: pregnancy changes the expression of inflammation-related genes in patients with multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE17409
Pregnancy changes expression in peripheral blood mononuclear cells of healthy donors
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Background: pregnancy is associated with reduced activity of multiple sclerosis (MS). However, the biological mechanisms underlying this pregnancy-related decrease in disease activity are poorly understood.

Publication Title

Learning from nature: pregnancy changes the expression of inflammation-related genes in patients with multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE103339
Gene expression profiling of skin melanophages and macrophages positive or negative for MHC class II expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The lack of mouse models permitting the specific ablation of tissue-resident macrophages and monocyte-derived cells complicates understanding of their contribution to tissue integrity and to immune responses. Here we use a new model permitting diphtheria-toxin (DT)-mediated depletion of those cells and in which dendritic cells are spared. We showed that the myeloid cells of the mouse ear skin dermis are dominated by a population of melanin-laden macrophages, called melanophages, that has been missed in most previous studies. By using gene expression profiling, DT-mediated ablation and parabiosis, we determined their identity including their similarity to other skin macrophages, their origin and their dynamics. Limited information exist on the identity of the skin cells responsible for long-term tattoo persistence. Benefiting of our knowledge on melanophages, we showed that they are responsible for retaining tattoo pigment particles through a dynamic process which characterization has direct implications for improving strategies aiming at removing tattoos.

Publication Title

Unveiling skin macrophage dynamics explains both tattoo persistence and strenuous removal.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE17967
RMA expression data for liver samples from subjects with HCV cirrhosis with and without concomitant HCC
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

In this study, we used the Affymetrix HG-U133A 2.0 GeneChip for deriving a multigenic classifier capable of predicting HCV+cirrhosis with vs without concomitant HCC.

Publication Title

Identifying genes for establishing a multigenic test for hepatocellular carcinoma surveillance in hepatitis C virus-positive cirrhotic patients.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE49507
Quantitative proteomics analysis of signalosome dynamics in primary T cells identifies the surface receptor CD6 as a Lat adaptor-independent TCR signaling hub
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

The aim of the dataset was to study on a genome-wide level the impact of Lat deficiency on gene expression in resting and activated CD4+ T cells

Publication Title

Quantitative proteomics analysis of signalosome dynamics in primary T cells identifies the surface receptor CD6 as a Lat adaptor-independent TCR signaling hub.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE75023
Transcriptional profle of bronchoalveolar cells in sarcoidosis
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Introduction: Sarcoidosis is a multisystem immuno-inflammatory disorder of unknown etiology that most commonly involves the lungs. We hypothesized that an unbiased approach to identify pathways activated in alveolar macrophagesa key immuno-inflammatory cell in the lungcan shed light on the pathogenesis of this complex disease.

Publication Title

Sarcoidosis activates diverse transcriptional programs in bronchoalveolar lavage cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP125394
Next Generation Sequencing assesses E2F7-regulated gene expression profiling
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The goal of this experiment is to analyze global gene expression profiles during the cell cycle after acute depletion of E2F7. Overall design: RNA was isolated at three time-points following exit from cell cycle arrest, which represent G1/S transition (0h), S phase (3h) and G2/M boundary (12h) of the cell cycle in cells transfected with siRNAs specific for E2F7 (siE2F7) or with non-target control siRNAs (siNT)

Publication Title

An E2F7-dependent transcriptional program modulates DNA damage repair and genomic stability.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE53605
Molecular Profiles Associated with Calcineurin Inhibitor Toxicity Post-Kidney Transplant: Input to Chronic Allograft Dysfunction
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The molecular basis of calcineurin inhibitor toxicity (CNIT) in kidney transplantation (KT) and its contribution to chronic allograft dysfunction (CAD) with interstitial fibrosis (IF) and tubular atrophy (TA) were evaluated.

Publication Title

Evaluation of molecular profiles in calcineurin inhibitor toxicity post-kidney transplant: input to chronic allograft dysfunction.

Sample Metadata Fields

Specimen part

View Samples
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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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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