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accession-icon SRP067006
TAp73 is a master regulator of airway multiciliogenesis [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Comparative RNA seq analysis of WT and global p73KO Mouse Tracheal Epithelial Cell (MTECs) during the course of their differentiation (Air-Liquid Interface ALI D0, D4, D7, D14) aimed to determine the role of p73 in motile multiciliogenesis. Overall design: Three independent biological replicates of murine primary airway epithelial cell cultures (MTECs) from wild type and global p73KO mice were differentiated under air-liquid interface (ALI) conditions and harvested at Day 0, Day 4 , Day 7 and Day 14 post ALI.

Publication Title

TAp73 is a central transcriptional regulator of airway multiciliogenesis.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE19672
Effects of MaxiK silencing in corporal smooth muscle cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The MaxiK potassium channel is a key modulator of smooth muscle tone. Due to its calcium and voltage sensitivity, MaxiK is activated following depolarization and Ca2+ mobilization, therefore relaxing the muscle. We investigate the effects of silencing MaxiK for 48h in corpus cavernosuml smooth muscle (CCSM) cells to identify possible mechanisms of compensation through molecular crosstalk between pathways regulating smooth muscle tone.

Publication Title

Silencing MaxiK activity in corporal smooth muscle cells initiates compensatory mechanisms to maintain calcium homeostasis.

Sample Metadata Fields

Specimen part

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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

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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

View Samples
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

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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

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)

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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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