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accession-icon GSE74761
Extensive alopecia areata is reversed by IL-23 cytokine antagonism
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Alopecia areata (AA) is a prevalent disease associated with major emotional distress, and lacks effective, safe therapeutics for patients with extensive hair loss. This is the first report of hair regrowth with specific cytokine antagonism, in three patients with extensive hair loss ranging from 40% scalp involvement to alopecia universalis. Ustekinumab, an IL-12/23p40 antagonist that is highly effective in psoriasis, showed impressive ability to induce hair regrowth, coupled with suppression of inflammatory pathways and upregulation of hair keratins. Our report suggests that extensive AA is reversible using targeted treatments, opening the door for specific cytokine antagonism for this debilitating disease.

Publication Title

Extensive alopecia areata is reversed by IL-12/IL-23p40 cytokine antagonism.

Sample Metadata Fields

Sex, Specimen part, Disease stage, Subject, Time

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accession-icon GSE101742
Estrogen regulated genes in BCK4 tumors
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genes regulated in different tumor regions, cells isolated by LCM

Publication Title

Estrogen induces c-Kit and an aggressive phenotype in a model of invasive lobular breast cancer.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE22416
Expression data from ileum of inducible intestine-specific GATA6 knockout mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

GATA6 is a transcription factor involved in the differentiation of intestinal epithelial cells into differentiated absorptive epithelial cells.

Publication Title

GATA factors regulate proliferation, differentiation, and gene expression in small intestine of mature mice.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE55201
Suppression of inflammation in psoriasis blood after IL-17 treatment with ixekizumab
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The effect of anti-IL-17 treatment on systemic inflammation is not fully understand. Using cDNA microarray, genomic analysis methods such as GSEA and ingenuity, we characterized the transcriptional changes in the blood of psoriasis patients afer systemic neutralization of IL-17 compared to baseline (before treatment). We also compared the whole blood-derived transcriptome between psoraisis patients at baseline and healthy volunteers to examine systemic inflammation in psoriasis patients.

Publication Title

IL-17 induces inflammation-associated gene products in blood monocytes, and treatment with ixekizumab reduces their expression in psoriasis patient blood.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP076034
Genome-wide identification of transcription factor ATOH1 target genes in adult small intestine and colon.
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We generated three mRNA expression profiles by RNA-Seq of (i) wild-type crypts, (ii) Atoh1 knockout crypts, and (iii) purified ATOH1-positive cells. Overall design: We isolated Atoh1 knockout and littermate wild-type crypts from 6-8 week old Atoh1lox/lox;VilCreERT2 and Atoh1lox/WT;VilCreERT2 mice, respectively. In addition, ATOH1-positive cells were isolated by flow cytometry of 7AAD-negative (live), GFP-positive cells from either ileal or colonic crypts of Atoh1GFP/GFp mice (which express a functional ATOH1::GFP protein and are phenotypically normal).

Publication Title

Transcriptional Regulation by ATOH1 and its Target SPDEF in the Intestine.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE25557
Characterization of Definitive Endoderm formation from HESC and iPSC lines by Microarray analysis
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

HESC-H9 and iPSC lines 3.5, 3.6 and 3.12 were analyzed using Affymetrix microarray before and after Definitive Endoderm (DE) formation. DE was induced using the ActivinA differentiation protocol described by D'Amour et al., 2006 (PMID: 16258519) Clustering analysis of transcripts that were differentially regulated during DE formation indicated that iPSC lines 3.5 and 3.12 differentiate in manner that is highly similar to HESC-H9 cells iPSC line 3.6 had a more divergent transcriptional profile.

Publication Title

Directed differentiation of human pluripotent stem cells into intestinal tissue in vitro.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP066095
Inhibition of uPA expression by CRISPR-dCas9 DNA methyltransferases
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

We report the generation of CRISPR-dCas9 DNA methyltransferases to mediate targeted DNA methylation. Using the dCas9-BFP-DNMT3A and dCas9-BFP-DNMT3B methyltransferases, we have demonstrated that these two methyltransferase can mediate targeted methylation in three human genes tested: uPA, TGFBR3, and CDKN2A in human HEK293T cells. We also showed that these methyltransferases could mediate gene inhibition. Overall design: five samples co-transfected with five uPA sgRNAs and each of the four dCas9 fusions, or control transfection with pUC19 plasmid

Publication Title

Genome-wide determination of on-target and off-target characteristics for RNA-guided DNA methylation by dCas9 methyltransferases.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE69340
Expression data from cerebral cortices of bacTRAP transgenic mice
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays of eight different cell types in cortex to conduct specificity index analysis for detailed cell type specific molecular profile.

Publication Title

Layer 2/3 pyramidal cells in the medial prefrontal cortex moderate stress induced depressive behaviors.

Sample Metadata Fields

Specimen part

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accession-icon SRP073103
HLA peptides derived from tumor antigens induced by inhibition of DNA methylation for development of drug-facilitated immunotherapy
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Treatment of cancer cells with anti-cancer drugs often fails to achieve complete remission. Yet, such drug treatments may induce alteration in the tumor’s gene expression patterns, including those of Cancer/Testis Antigens (CTA). The degradation products of such antigens can be presented as HLA peptides on the surface of the tumor cells and be developed into anti-cancer immunotherapeutics. For example, the DNA methyl transferase inhibitor, 5-aza-2''-deoxycytidine (Decitabine) has limited anti-tumor efficacy, yet it induces the expression of many genes, including CTAs that are normally silenced in the healthy adult tissues. In this study, the presentation of many new HLA peptides derived from CTAs and induced by Decitabine was demonstrated in three human Glioblastoma cell lines. Such presentation of CTA-derived HLA peptides can be exploited for development of new treatment modalities, combining drug treatment with anti-CTA targeted immunotherapy. The Decitabine-induced HLA peptidomes include many CTAs that are not normally detected in healthy tissues or in cancer cells, unless treated with the drug. In addition, the study included large-scale analyses of the simultaneous effects of Decitabine on the transcriptomes, proteomes and HLA peptidomes of the human Glioblastoma cells. It demonstrates the poor correlations between these three levels of gene expression, both in their total levels and in their response to the drug. Overall design: The transcriptomes, proteomes and HLA peptidomes of the U-87, T98G and LNT-229 GBM human cell lines were analyzed before and after treatment with Decitabine. Overall, the RNA-Seq transcriptome analyses resulted in the identification of above 26000 transcripts, the proteome analyses identified about 7500 proteins and the HLA class I peptidome analyses resulted in above 25000 identified HLA peptides. Two biological repetitions of the transcriptome, three of the proteome and three of the HLA peptidome were performed with each of the cell lines and treatment, resulting in highly reproducible datasets.

Publication Title

Human Leukocyte Antigen (HLA) Peptides Derived from Tumor Antigens Induced by Inhibition of DNA Methylation for Development of Drug-facilitated Immunotherapy.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE38102
Expression data from Oryza sativa and Arabidopsis thaliana
  • organism-icon Oryza sativa, Arabidopsis thaliana
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

In this study, we used a cross-species network approach to uncover nitrogen (N)-regulated network modules conserved across a model and a crop species. By translating gene network knowledge from the data-rich model Arabidopsis (Arabidopsis thaliana, ecotype Columbia-0) to a crop, rice (Oryza sativa spp. japonica (Nipponbare)), we identified evolutionarily conserved N-regulatory modules as targets for translational studies to improve N use efficiency in transgenic plants.

Publication Title

Cross-Species Network Analysis Uncovers Conserved Nitrogen-Regulated Network Modules in Rice.

Sample Metadata Fields

Age, Specimen part

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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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