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accession-icon GSE35014
Discovery of genes regulated by the metastasis suppressor gene, RhoGDI2
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A number of studies find that metastasis suppressor proteins, including RhoGDI2, may function in part though controlling expression of genes regulating metastasis (reviewed in Smith and Theodorescu, Nature Reviews Cancer, 2009, PMID: 19242414). To uncover systematically gene expression patterns dependent on RhoGDI2 expression, we profiled gene expression in stably transfected control (GFP empty vector) UM-UC-3 bladder carcinoma cells (which have lost endogenous expression of RhoGDI2, as occurs commonly in the progression of bladder cancer PMID: 15173088), as well as stably transfected GFP-tagged RhoGDI2 expressing UM-UC-3 cells.

Publication Title

RhoGDI2 suppresses lung metastasis in mice by reducing tumor versican expression and macrophage infiltration.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE37317
Gene expression profiling of 19 bladder cancers from the University of Virginia
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Given the heterogeneity of disease evident from study of the presentation, histomorphology, disease course, and molecular lesions of bladder cancer, a cohort of 8 non-muscle invasive and 11 muscle invasive bladder cancers were profiled for gene expression using the Affymetrix HG-U133A platform.

Publication Title

Transcriptional signatures of Ral GTPase are associated with aggressive clinicopathologic characteristics in human cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE73456
Expression data from UMUC3 cells transduced with non-targeted shRNA and shRNA specific to AGL
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Loss of Amylo-alpha-1-6-glucosidase-4-alpha-glucanotransferase (AGL) drives bladder cancer growth. Low AGL expression predicts poor patient outcome. Currently no specific therapeutically tractable targets/pathways exist that could be used to treat patients with low AGL expressing bladder tumors.

Publication Title

Loss of Glycogen Debranching Enzyme AGL Drives Bladder Tumor Growth via Induction of Hyaluronic Acid Synthesis.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE5846
NCI-60 Cancer Cell Line
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

NCI-60 cancer cell lines were profiled with their genome-wide gene expression patterns using Affymetrix HG-U133A chips.

Publication Title

A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE30161
Genomic Multivariate Predictors of Response to Adjuvant Chemotherapy in Ovarian Carcinoma: Predicting Platinum Resistance
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: Despite advances in radical surgery and chemotherapy delivery, ovarian cancer is the most lethal gynecologic malignancy. Most of these patients are treated with platinum-based chemotherapies, but there is no biomarker model to guide their responses to these therapeutic agents. We have developed and independently tested our novel multivariate molecular predictors for forecasting patients' responses to individual drugs on a cohort of 58 ovarian cancer patients.

Publication Title

Multi-gene expression predictors of single drug responses to adjuvant chemotherapy in ovarian carcinoma: predicting platinum resistance.

Sample Metadata Fields

Age, Specimen part, Disease stage, Race

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accession-icon GSE5845
Bladder Cancer 40 Cell Lines
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

40 bladder cancer cell lines were profiled with their genome-wide gene expression patterns using Affymetrix HG-U133A chips.

Publication Title

A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE116003
Expression data from mid-third intsar Drosophila melanogaster larvae
  • organism-icon Drosophila melanogaster
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Loss of Ck1alpha produces 'flyabetic' larvae that are feeding defective. In addition we found other larvae with glucose elevations show feeding aversion.

Publication Title

Circulating glucose levels inversely correlate with <i>Drosophila</i> larval feeding through insulin signaling and SLC5A11.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE15162
Quercetin effect on gene expression in HepG2 hepatocellular cancer cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Quercetin is a flavonol modifying numerous cell processes with potent antiproliferative effects on cancer cell-lines. The aim of this study was to explore by gene-array analysis the effect of quercetin on cancer-related gene expression in HepG2 cells, followed by verification with RT-PCR and analysis of the expected phenotypic changes (migration, cell cycle, cell proliferation). Quercetin induces significant changes on cell-adhesion related genes, leading to reduced migratory capacity and disorganization of the actin cytoskeleton. Several genes related to DNA functions, cellular metabolism and signal-transducer activities were also modified, while an early effect on Gprotein related cascades possibly via protease-activated receptor 2 and phospholipase C-1 was identified. Cyclin-D associated events in G1 and ubiquitin-dependent degradation of cyclin-D1 were also affected, resulting in cell-cycle arrest without activation of apoptosis pathways. In conclusion quercetin (3M) exerts its cellular effects by modifying numerous genes related to mechanisms involved in cancer initiation and promotion.

Publication Title

Quercetin accumulates in nuclear structures and triggers specific gene expression in epithelial cells.

Sample Metadata Fields

Cell line

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accession-icon SRP126295
Mononuclear phagocytes locally specify and adapt their phenotype in the inflamed central nervous system, blood monocyte and brain microglia expression data
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

We introduce an in vivo imaging approach that allows us to temporally and spatially resolve the evolution of iNOS and Arginase-positive phagocyte phenotypes in a murine MS model. We show that the polarization of individual phagocytes is established after CNS entry, is dependent on the CNS compartment and can be adapted as inflammatory lesions move from expansion to resolution. Our study thus provides a first real-time analysis of phagocyte specification in the intact CNS. Overall design: Cells were isolated from the Blood and CNS of Arginase-YFP X iNOS-Tomato-Cre mice at clinical onset of Experimental Autoimmune Encephalomyelitis. CD11b_high, CD45_low microglia cells and CD45_positive, CD115_positive, Ly6c_high monocytes were FACS sorted respectively. Total RNA was extracted from the separated populations.

Publication Title

Mononuclear phagocytes locally specify and adapt their phenotype in a multiple sclerosis model.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP097006
Distinct roles for matrix metalloproteinases 2 and 9 in hematopoietic stem cell emergence, migration and niche colonization
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We report gene expression data for FACS sorted zebrafish mpeg1:mCherry + and mpx:EGFP + cells collected from whole embryos at 72 hours post fertilization (hpf). We also report gene expression data for the remaining, transgene negative, portion of these embryos. Overall design: ~1,000 mpeg1:mCherry+; mpx:EGFP+ transgenic embryos were homogenized, filtered, and sorted using FACS into PBS, collecting >50,000 cells for each of the three populations: mpeg1:mCherry+, mpx:EGFP+ and double negative (no double positive cells were collected as there was almost no overlap between mCherry and EGFP expression).

Publication Title

Distinct Roles for Matrix Metalloproteinases 2 and 9 in Embryonic Hematopoietic Stem Cell Emergence, Migration, and Niche Colonization.

Sample Metadata Fields

No sample metadata fields

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)

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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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