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accession-icon GSE117239
Cellular and Molecular Changes in Psoriasis Lesions Inducedby Ustekinumab: Distinct Differences in Responders vs. Non responders
  • organism-icon Homo sapiens
  • sample-icon 322 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ustekinumab provides clinical benefit to psoriasis patients, but precise cellular and molecular changes underlying its therapeutic utility are not yet fully understood. To assess differences between ustekinumab responders vs. non responders in modulating specific inflammatory pathways and provide reference data for exploring molecular effects of next-generation interleukin(IL)-17 and IL-23-antagonists in psoriasis.

Publication Title

Modulation of inflammatory gene transcripts in psoriasis vulgaris: Differences between ustekinumab and etanercept.

Sample Metadata Fields

Specimen part, Treatment, Subject, Time

View Samples
accession-icon GSE106992
Cellular and Molecular Changes in Psoriasis Lesions Induced by Ustekinumab: Distinct Differences in Responders vs. Non-Responders
  • organism-icon Homo sapiens
  • sample-icon 175 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A gene expression profiling sub-study was conducted in which skin biopsy samples (n=192) were collected for RNA extraction and hybridization to microarrays from patients with moderate-to-severe psoriasis who participated in ACCEPT, an IRB-approved Phase 3, multicenter, randomized trial.

Publication Title

Modulation of inflammatory gene transcripts in psoriasis vulgaris: Differences between ustekinumab and etanercept.

Sample Metadata Fields

Specimen part, Treatment, Subject, Time

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accession-icon GSE84442
Ileal expression data of mice fed with diet containing protein from various sources
  • organism-icon Mus musculus
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

This study was designed to address key questions concerning the use of alternative protein sources for animal feeds and addresses aspects such as their nutrient composition and impact on gut function, the immune system and systemic physiology. We used casein (CAS), partially delactosed whey powder (DWP), spray dried porcine plasma (SDPP), soybean meal (SBM), wheat gluten meal (WGM) and yellow meal worm (YMW) as protein sources.

Publication Title

Multi-Level Integration of Environmentally Perturbed Internal Phenotypes Reveals Key Points of Connectivity between Them.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE83159
Epigenetic regulation of the transcriptional program in memory and terminally differentiated CD8+ T cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenetic Networks Regulate the Transcriptional Program in Memory and Terminally Differentiated CD8+ T Cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE83157
Epigenetic regulation of the transcriptional program in memory and terminally differentiated CD8+ T cells [HCAFIS_07_Gene_Expression]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Epigenetic mechanisms play a critical role during differentiation of T cells by contributing to the formation of stable and heritable transcriptional patterns. To further study the mechanisms of memory maintenance in CD8+ T cells, we performed genome-wide analysis of DNA methylation, histone marking (H3K9Ac and H3K9me3) and gene expression profiles in naive, effector memory (EM) and terminally differentiated memory (TEMRA) cells. Our results indicate that DNA demethylation and histone acetylation are coordinated to generate the transcriptional program associated with memory cells. Conversely, EM and TEMRA cells share a very similar epigenetic landscape. Nonetheless, the TEMRA transcriptional program predicts an innate immunity phenotype associated with genes never reported in these cells, including several mediators of NK cell activation (VAV3 and LYN) and a large array of NK receptors (KIR2DL3, KIR2DL4, KIR2DL1, KIR3DL1, KIR2DS5, etc.). In addition, we identified up to 161 genes that encode transcriptional regulators, some of unknown function in CD8+ T cells, that were differentially expressed in the course of differentiation. Overall, these results provide new insights into the regulatory networks involved in memory CD8+ T cell maintenance and T cell terminal differentiation.

Publication Title

Epigenetic Networks Regulate the Transcriptional Program in Memory and Terminally Differentiated CD8+ T Cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE83158
Epigenetic regulation of the transcriptional program in memory and terminally differentiated CD8+ T cells [HCAFIS_12_Gene_Expression]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Epigenetic mechanisms play a critical role during differentiation of T cells by contributing to the formation of stable and heritable transcriptional patterns. To further study the mechanisms of memory maintenance in CD8+ T cells, we performed genome-wide analysis of DNA methylation, histone marking (H3K9Ac and H3K9me3) and gene expression profiles in naive, effector memory (EM) and terminally differentiated memory (TEMRA) cells. Our results indicate that DNA demethylation and histone acetylation are coordinated to generate the transcriptional program associated with memory cells. Conversely, EM and TEMRA cells share a very similar epigenetic landscape. Nonetheless, the TEMRA transcriptional program predicts an innate immunity phenotype associated with genes never reported in these cells, including several mediators of NK cell activation (VAV3 and LYN) and a large array of NK receptors (KIR2DL3, KIR2DL4, KIR2DL1, KIR3DL1, KIR2DS5, etc.). In addition, we identified up to 161 genes that encode transcriptional regulators, some of unknown function in CD8+ T cells, that were differentially expressed in the course of differentiation. Overall, these results provide new insights into the regulatory networks involved in memory CD8+ T cell maintenance and T cell terminal differentiation.

Publication Title

Epigenetic Networks Regulate the Transcriptional Program in Memory and Terminally Differentiated CD8+ T Cells.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE40413
IL-17 and TNF synergistically induce growth-associated cytokines in melanocytes while suppressing melanogenesis
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study, we sought to determine how IL-17 and TNF influence normal human melanocytes, either alone, or with both cytokines together. We reveal a dichotomous effect of IL-17 and TNF, which not only elicit essential mitogenic cytokines but also suppress melanogenesis by down-regulating genes of melanogenesis pathway

Publication Title

IL-17 and TNF synergistically modulate cytokine expression while suppressing melanogenesis: potential relevance to psoriasis.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE60722
Regulation of casodex-dependent AR activity by NCOR1
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Proliferation of prostate cancer cells, LNCaP, is suppressed by casodex. This suppression requires expression of AR coregulator, NCOR1.

Publication Title

Nuclear Receptor Corepressor 1 Expression and Output Declines with Prostate Cancer Progression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE60721
DHT-dependent AR activity in LNCaP cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

AR transcriptional activity is regulated by DHT

Publication Title

Nuclear Receptor Corepressor 1 Expression and Output Declines with Prostate Cancer Progression.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon E-MEXP-718
Transcription profiling of mouse glioma cell line grown in two types of media to investigate cell de-differentiation
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Comparison of gene expression profiles of the GL261 cell line (a murine glioma model) grown in duplicate in two different types of media. AC samples where grown in DMEM supplemented by 20% FBS, 5 U/ml pen/strep and 4 mM L-glutamine. NS samples were grown in DMEM/F12 (50/50) supplemented with 2 U/ml pen/strep, 1 ug/ml fungizone, 1x B27, 20 ng/ml bFGF, 20 ng/ml EGF, 20 ng/ml LIF and 5 ug/ml heparin. We have reason to believe the NS media enhances cell de-differentiation.

Publication Title

Neurospheres enriched in cancer stem-like cells are highly effective in eliciting a dendritic cell-mediated immune response against malignant gliomas.

Sample Metadata Fields

Specimen part, Cell line

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

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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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