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accession-icon GSE76019
Gene expression profiling of pediatric adrenocortical tumors of patients treated on the Children's Oncology Group XXX protocol.
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

We have previously observed that expression of HLA genes associate with histology of adrenocortical tumors (PMID 17234769).

Publication Title

Prognostic Significance of Major Histocompatibility Complex Class II Expression in Pediatric Adrenocortical Tumors: A St. Jude and Children's Oncology Group Study.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE76021
Gene expression profiling of pediatric adrenocortical tumors collected by the International Pediatric Adrenocortical Tumor Registry (IPACTR).
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We have previously observed that expression of HLA genes associate with histology of adrenocortical tumors (PMID 17234769).

Publication Title

Prognostic Significance of Major Histocompatibility Complex Class II Expression in Pediatric Adrenocortical Tumors: A St. Jude and Children's Oncology Group Study.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE143224
Gene expression profile of laryngeal squamous cell carcinoma
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The goal was to identify the differently expressed genes between laryngeal tumor and nonmalignant surrounding mucosa

Publication Title

Transcriptome Analysis Identifies ALCAM Overexpression as a Prognosis Biomarker in Laryngeal Squamous Cell Carcinoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE6728
Expression data for NMD inhibition in Mantle Cell Lymphoma
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of potential tumor suppressor genes using the GINI strategy in Mantle Cell Lymphoma cell lines

Publication Title

Inactivation of RB1 in mantle-cell lymphoma detected by nonsense-mediated mRNA decay pathway inhibition and microarray analysis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE64102
Improved antitumor activity of immunotherapy combined with BRAF and MEK inhibitors in BRAFV600E mutant melanoma
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The first clinical trial testing the combination of targeted therapy with a BRAF inhibitor vemurafenib and immunotherapy with a CTLA-4 antibody ipilimumab was terminated early due to significant liver toxicities, possibly due to paradoxical activation of the MAPK pathway by BRAF inhibitors in tumors with wild type BRAF. MEK inhibitors can potentiate the MAPK inhibition in tumor, while potentially alleviating the unwanted paradoxical MAPK activation. With a mouse model of syngeneic BRAFV600E driven melanoma (SM1), we tested whether the addition of the MEK inhibitor trametinib would enhance the immunosensitization effects of the BRAF inhibitor dabrafenib. Combination of dabrafenib and trametinib with pmel-1 adoptive cell transfer (ACT) showed complete tumor regression. Bioluminescent imaging and tumor infiltrating lymphocyte (TIL) phenotyping showed increased effector infiltration to tumors with dabrafenib, trametinib or dabrafenib plus trametinib with pmel-1 ACT combination. Intracellular IFN gamma staining of the TILs and in vivo cytotoxicity studies showed trametinib was not detrimental to the effector functions in vivo. Dabrafenib increased tumor associated macrophages and T regulatory cells (Tregs) in the tumors, which can be overcome by addition of trametinib. Microarray analysis revealed increased melanoma antigen, MHC expression, and global immune-related gene upregulation with the triple combination therapy. Given the up-regulation of PD-L1 seen with dabrafenib and/or trametinib combined with antigen specific ACT, we tested the triple combination of dabrafenib, trametinib with anti-PD1 therapy, and observed superior anti-tumor effect to SM1 tumors. Our findings support the testing of these combinations in patients with BRAFV600E mutant metastatic melanoma.

Publication Title

Improved antitumor activity of immunotherapy with BRAF and MEK inhibitors in BRAF(V600E) melanoma.

Sample Metadata Fields

Specimen part, Treatment, Compound

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accession-icon GSE35004
YAP Inhibition in HCC cells (Hep3B)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

siRNA-mediated inhibition compared to untreated cells and cells transfected with nonsense siRNA.

Publication Title

Yes-associated protein up-regulates Jagged-1 and activates the Notch pathway in human hepatocellular carcinoma.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE72614
Estrogen receptor alpha (ESR1)-dependent regulation of the mouse oviduct
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Estrogen receptor- (ESR1) is an important transcriptional regulator in the mammalian oviduct, however ESR1-dependent regulation of this organ is not well defined, especially at the genomic level. The objective of this study was therefore to investigate estradiol- and ESR1-dependent regulation of the transcriptome of the oviduct using transgenic mice, both with (ESR1KO) and without (wild-type, WT) a global deletion of this transcription factor using the Affymetrix Genechip Mouse Genome 430-2.0 arrays.

Publication Title

Estrogen Receptor Alpha (ESR1)-Dependent Regulation of the Mouse Oviductal Transcriptome.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE29699
Effect of gibberellins on metabolism during rosette growth in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To understand the effect of high and low GA levels on plant metabolism and development in Arabidopsis we made use of the GA biosynthesis inhibitor paclobutrazol (PBZ) and exogenously applied GA. The whole genome response at the translation level was assessed by immunopurification of polysomes from PBZ- and GA treated plants expressing FLAG-tagged ribosomal protein L18 (RPL18B). Polysomal associated RNA was isolated and subjected to affymterix ATH1 CHIP analysis. A total of 140 genes were statistically determined to be differentially translated after GA treatment whereas 89 genes where affected PBZ treatment. Our analysis revealed that GA and PBZ have opposing effects on the expression of cell wall and wax layer biosynthesis related genes. In addition, many genes involved in secondary metabolism are upregulated upon PBZ treatment. A set of SAUR-like genes important for mediating auxin responses are downregulated by PBZ, which is of interest to coordinatian of GA levels with growth and development. Interestingly, GA treatment induces the upregulation of transcription factors related to plant defense and senescence, which is in agreement with the early flowering upon GA treatment. Our study provides a first picture of the response of Arabidopsis to altered GA levels at the translation level, and thus will be valuable for understanding gene regulation at the polysome level.

Publication Title

Translatome and metabolome effects triggered by gibberellins during rosette growth in Arabidopsis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE84407
Gene expression data from yerba mate treated and non-treated cultured PBMCs activated with phytohemagglutinin
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Yerba mate (YM) has been shown to have anti-inflammatory properties in several studies. However, this effect has been found mainly in obesity-related in inflammation. The aim of this work was to study the effect of YM in cultured peripheral blood mononuclear cells to see whether it has anti-inflammatory properties. We stimulated peripheral blood mononuclear cells in vitro with phitohemaglutinin in the presence of yerba mate and determined their activation measuring the the expression of CD25 by flow cytometry. We observed that YM treatment produced a dose-dependent reduction in PBMC activation (CD25 positive cells) when they were stimulated with PHA. This effect was also observed in T cells (CD3 positive) subpopulation. Microarray analysis revealed the differential expression of 128 genes in YM-treated cells. According to a protein-protein interaction database, these genes were highly connected and they are involved in inflammatory response. In summary, it was demonstrated that YM produces a reduction in the amount of activated cells under the stimulation of PHA. Therefore, it might be used in diseases with an inflammatory component.

Publication Title

Yerba mate (Ilex paraguariensis) inhibits lymphocyte activation in vitro.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE8822
Anopheles gambiae genome-wide gene expression in response to bloodmeal
  • organism-icon Anopheles gambiae
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Plasmodium/Anopheles Genome Array (plasmodiumanopheles)

Description

With their genome sequenced, Anopheles gambiae mosquitoes now serve as a powerful tool for basic research in comparative, evolutionary and developmental biology. The knowledge generated by these studies is expected to reveal molecular targets for novel vector control and pathogen transmission blocking strategies. Comparisons of gene-expression profiles between adult male and nonblood-fed female Anopheles gambiae mosquitoes revealed that roughly 22% of the genes showed sex-dependent regulation. Blood-fed females switch the majority of their metabolism to blood digestion and egg formation within 3 h after the meal is ingested, in detriment to other activities such as flight and response to environment stimuli. Changes in gene expression are most evident during the first, second and third days after a blood meal, when as many as 50% of all genes showed significant variation in transcript accumulation. After laying the first cluster of eggs (between 72 and 96 h after the blood meal), mosquitoes return to a nongonotrophic stage, similar but not identical to that of 3-dayold nonblood-fed females. Ageing and/or the nutritional state of mosquitoes at 15 days after a blood meal is reflected by the down-regulation of 5% of all genes. A full description of the large number of genes regulated at each analysed time point and each biochemical pathway or biological processes in which they are involved is not possible within the scope of this contribution. Therefore, we present descriptions of groups of genes displaying major differences in transcript accumulation during the adult mosquito life. However, a publicly available searchable database (Anopheles gambiae Gene Expression Database at UC Irvine) has been made available so that detailed analyses of specific groups of genes based on their descriptions, functions or levels of gene expression variation can be performed by interested investigators according to their needs.

Publication Title

Genome-wide analysis of gene expression in adult Anopheles gambiae.

Sample Metadata Fields

No sample metadata fields

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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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