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accession-icon GSE23991
Effect of zebularine on primary human liver cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 108 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

Transcriptomic changes in human liver cancer cell lines caused by the demethylating drug zebularine.

Publication Title

An integrated genomic and epigenomic approach predicts therapeutic response to zebularine in human liver cancer.

Sample Metadata Fields

Cell line

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accession-icon SRP034703
Disruption of H3K27me3 through loss of EZH1 and EZH2 accelerates progression of hepatosteatosis to fatal liver fibrosis
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon

Description

Although epigenetic mechanisms, such as specific histone modifications, control common and cell-specific genetic programs, a role for histone modifying enzymes in liver metabolism and disease has not been investigated. This report demonstrates that the combined loss of the histone methyltransferases EZH1 and EZH2 in mouse hepatocytes led to the disruption of H3K27me3 homeostasis by age three months, simple fatty liver by age six months and fatal fibrosis by age 15 months. Global and gene-specific reduction of H3K27me3 marks paralleled a concomitant increase of H3K4me3 marks at genes associated with chronic liver disease. Advanced disease was accompanied by widespread infiltration of immune cells, an increase of activated hepatic stellate cells and collagen deposition. Expression of genes from the cytochrome P450 family that control drug metabolism was already deregulated by age two months and mice were fatally hypersensitive to carbon tetrachloride (CCl4). These genetic experiments, for the first time, illustrate that the simple loss of EZH1/EZH2, which results in the disruption of epigenetic modifications, is sufficient for the progression of fatal liver disease. Overall design: RNA-seq and ChIP-seq were performed in liver tissues.

Publication Title

The methyltransferases enhancer of zeste homolog (EZH) 1 and EZH2 control hepatocyte homeostasis and regeneration.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14520
Gene expression data of human hepatocellular carcinoma (HCC)
  • organism-icon Homo sapiens
  • sample-icon 488 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We used Affymetrix microarray profiling to analyze gene expression patterns in healthy donor liver as well as tumor and paired non-tumor tissue of HCC patients.

Publication Title

A unique metastasis gene signature enables prediction of tumor relapse in early-stage hepatocellular carcinoma patients.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE64505
Identification of a mitochondrial defect gene signature reveals NUPR1 as a key regulator of liver cancer progression
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Many cancer cells require more glycolytic adenosine triphosphate production due to a mitochondrial respiratory defect. However, the roles of mitochondrial defects in cancer development and progression remain unclear. To address the role of transcriptomic regulation by mitochondrial defects in liver cancer cells, we performed gene expression profiling for three different cell models of mitochondrial defects: cells with chemical respiratory inhibition (rotenone, thenoyltrifluoroacetone, antimycin A, and oligomycin), cells with mitochondrial DNA depletion (Rho0), and liver cancer cells harboring mitochondrial defects (SNU354 and SNU423). By comparing gene expression in the three models, we identified 10 common mitochondrial defectrelated genes that may be responsible for retrograde signaling from cancer cell mitochondria to the intracellular transcriptome. The concomitant expression of the 10 common mitochondrial defect genes is significantly associated with poor prognostic outcomes in liver cancers, suggesting their functional and clinical relevance. Among the common mitochondrial defect genes, we found that nuclear protein 1 (NUPR1) is one of the key transcription regulators. Knockdown of NUPR1 suppressed liver cancer cell invasion, which was mediated in a Ca2+ signalingdependent manner. In addition, by performing an NUPR1-centric network analysis and promoter binding assay, granulin was identified as a key downstream effector of NUPR1. We also report association of the NUPR1granulin pathway with mitochondrial defectderived glycolytic activation in human liver cancer. Conclusion: Mitochondrial respiratory defects and subsequent retrograde signaling, particularly the NUPR1granulin pathway, play pivotal roles in liver cancer progression.

Publication Title

Identification of a mitochondrial defect gene signature reveals NUPR1 as a key regulator of liver cancer progression.

Sample Metadata Fields

Specimen part

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accession-icon GSE15765
Identification of cholangiocarcinoma-like gene expression traits in hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We performed gene expression profiling of hepatocellular carcinoma (HCC), cholangiocarcinoma (CC), and mixed type of combined HCC and CC (CHC). In comparison of the profiles, a novel class of HCC expressing CC-like traits was identified.

Publication Title

Identification of a cholangiocarcinoma-like gene expression trait in hepatocellular carcinoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE52232
Effect of HDAC2 siRNA on HCC
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Determine the effect and specificity of HDAC2 siRNA compared to SAHA inhibition of HDAC2 in hepatocellular carcinoma (HCC)

Publication Title

Antitumor effects in hepatocarcinoma of isoform-selective inhibition of HDAC2.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE16757
Gene expression study in hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Gene expression data from 100 human hepatocellular carcinomas (HCC) were generated and analyzed as part of effort for validating prognostic gene expression signatures from previous studies. Using four different classification algorithms and leave-one-out cross-validation approaches, four different prognostic signatures were applied to test the robustness and concordance of predicted outcome in individual patients. All four tumor-derived signatures were significantly associated with prognosis and had a high rate of concordance with predicted outcomes for individual patients.

Publication Title

Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE32958
Integrative Transcriptomic Profiling reveals Hepatic Stem-like Phenotype and Interplay of EMT and miR-200c in Intrahepatic Cholangiocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptomic profiling reveals hepatic stem-like gene signatures and interplay of miR-200c and epithelial-mesenchymal transition in intrahepatic cholangiocarcinoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE32879
Integrative Transcriptomic Profiling reveals Hepatic Stem-like Phenotype and Interplay of EMT and miR-200c in Intrahepatic Cholangiocarcinoma [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We compared transcriptomic profiles of 23 ICC tumor specimens to hepatocellular carcinoma (HCC) specimens using Affymetrix mRNA array and the miRNA array platforms to search for unique gene signatures linked to patient prognosis.

Publication Title

Transcriptomic profiling reveals hepatic stem-like gene signatures and interplay of miR-200c and epithelial-mesenchymal transition in intrahepatic cholangiocarcinoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE39791
Hepatic regeneration gene expression signature predicts late recurrence of hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 144 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

While we and others have uncovered and validated several genomic predictors for metastatic recurrences, a molecular or genomic predictor that can reliably identify high-risk patients for late de novo recurrence has not been firmly established. We analyzed previously reported gene expression data from human livers that underwent partial hepatectomy or transplantation, which were representative physiological conditions that trigger liver regeneration signals. We generated gene expression data from tumor and matched non-tumor surrounding tissues of 72 hepatocellular carcinoma (HCC) patients who underwent surgical resection as the primary treatment. We used these gene expression data to develop a new prognostification model for recurrence of HCC after surgery.

Publication Title

Genomic predictors for recurrence patterns of hepatocellular carcinoma: model derivation and validation.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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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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