refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 434 results
Sort by

Filters

Technology

Platform

accession-icon GSE84096
Dynamic response of EGF stimulation in lung cancer cells
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

TTCA: an R package for the identification of differentially expressed genes in time course microarray data.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE137915
YAP and/or TAZ inhibition in HepG2 cells
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The Hippo pathway effectors yes-associated protein (YAP) and WW domain containing transcription regulator 1 (TAZ/WWTR1) support tumor initiation and progression in various cancer entities including hepatocellular carcinoma (HCC). However, to which extent YAP and TAZ contribute to liver tumorigenesis via common and exclusive molecular mechanisms is poorly understood. RNAinterference (RNAi) experiments illustrate that YAP and TAZ individually support HCC cell viability and migration, while for invasion additive effects were observed. Comprehensive expression profiling revealed partly overlapping YAP/TAZ target genes as well as exclusively regulated genes.

Publication Title

TAZ target gene ITGAV regulates invasion and feeds back positively on YAP and TAZ in liver cancer cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE84095
Dynamic response of EGF stimulation in lung cancer cells [EGF]
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for the detection of significant expression dynamics often fail when the expression dynamics show a large heterogeneity, and often cannot cope with irregular and sparse measurements.

Publication Title

TTCA: an R package for the identification of differentially expressed genes in time course microarray data.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE84094
Dynamic response of EGF stimulation in lung cancer cells [controls]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for the detection of significant expression dynamics often fail when the expression dynamics show a large heterogeneity, and often cannot cope with irregular and sparse measurements.

Publication Title

TTCA: an R package for the identification of differentially expressed genes in time course microarray data.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE8714
Gene expression after transfection of IGF-II specific siRNAs
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Total RNA was isolated from HuH-7 cells after transfection of IGF-II specific siRNAs. Gene expression profiling was performed using the Affymetrix Human Genome U133A 2.0 Arrays. The raw data were analysed using mixed model ANOVA.

Publication Title

Autocrine insulin-like growth factor-II stimulation of tumor cell migration is a progression step in human hepatocarcinogenesis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE55692
FIR inhibition in HCC cells (Hep3B)
  • organism-icon Homo sapiens
  • sample-icon 6 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

Overexpression of far upstream element (FUSE) binding protein (FBP)-interacting repressor (FIR) supports growth of hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE93742
Mislocalization of the cell polarity protein Scribble (Scrib) induces SPARC secretion in hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Cell polarity is crucial for the maintenance of epithelial cell function and its loss may have an im-portant role in the development and progression of cancer. We here show that overexpression and cytoplasmic enrichment of the baso-lateral polarity complex protein Scribble (Scrib) correlates with poor prognosis of hepatocellular cancer (HCC) patients. Expression of the cytoplasmic ScribP305L in hepatocellular cells induces epithelial to mesenchymal transition (EMT) and supports HCC cell invasion in comparison to cells expressing membrane-localized ScribWT. ScribP305L induces AKT signalling through destabilization of the phosphatases phosphatase and tensin homolog (PTEN) and PH domain and leucine rich repeat protein phosphatase 1 (PHLPP1). Moreover, cytoplasmic ScribP305L stimulates the expression of secreted protein acidic and cysteine rich (SPARC) de-pending on the AP1 constituents ATF2 and JunB, which drives HCC cell invasiveness. In vivo, combined hydrodynamic delivery of ScribP305L but not ScribWT and c-MYC initiates tumour for-mation in hepatocytes and cytoplasmic Scrib correlates with AKT phosphorylation, and AP1 ex-pression in human HCC tissues. Together, overexpression and mislocalization of Scrib represents an early event involved in the initiation and progression of liver cancer.

Publication Title

Cytoplasmic localization of the cell polarity factor scribble supports liver tumor formation and tumor cell invasiveness.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE99050
Modulation of gene expression after inducing expression of 14q32 miRNAs by CRISPR activation technology in lung adenocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Most lung adenocarcinoma deaths are related to metastases, indicating the necessity of detecting and inhibiting tumor cell dissemination. We have identified that overexpression of miRNAs located on 14q32 was associated with metastasis in lung adenocarcinoma patients. For functional analysis, we utilized CRISPR activation technology to increase levels of miRNAs clustered on 14q32 in a coordinated manner, and the results showed that 14q32 miRNA overexpression promoted tumor cell migratory and invasive properties. Whole transcriptome microarray analysis of the miRNA-overexpressing cells was performed to define the underlying molecular mechanisms.

Publication Title

Epigenetically Regulated Chromosome 14q32 miRNA Cluster Induces Metastasis and Predicts Poor Prognosis in Lung Adenocarcinoma Patients.

Sample Metadata Fields

Specimen part, Cell line

View Samples
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

View Samples
accession-icon GSE27985
Microarray analysis of Arabidopsis Col-0 and catalase 2 mutant define interactions between CO2, daylength and H2O2
  • organism-icon Arabidopsis thaliana
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Growth daylength, ambient CO2 level, and intracellular hydrogen peroxide (H2O2) availability all impact plant function by modulating signalling pathways, but interactions between them remain unclear. Using a whole-genome transcriptomics approach, we exploited the conditional photorespiratory nature of the catalase-deficient cat2 mutant to identify gene expression patterns responding to these three factors. Arabidopsis Col-0 and cat2 grown for 5 weeks in high CO2 in short days (SD) were transferred to air in SD or long days (LD), and microarray analysis was performed. Of more than 500 genes differentially expressed in Col-0 between high CO2 and transfer to air in SD, the response of about one-third was attenuated by transfer to air in LD. H2O2-responsive genes in cat2 were highly dependent on daylength. The majority of H2O2-induced genes were more strongly up-regulated after transfer to air in SD than to LD, while a smaller number showed an opposing pattern. Responses of other H2O2-dependent genes indicate redox-modulation of the daylength control of fundamental cell processes. The overall analysis provides evidence that (1) CO2 level modulates stress-associated gene expression; (2) both CO2 and H2O2 interact with daylength and photoreceptor signalling pathways; and (3) cellular signalling pathways may be primed to respond to increased H2O2 in a daylength-determined manner.

Publication Title

Day length is a key regulator of transcriptomic responses to both CO(2) and H(2)O(2) in Arabidopsis.

Sample Metadata Fields

Specimen part, Treatment

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact