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accession-icon GSE69207
Gene expression data of ovarian cancer from Singapore
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

A collection of 100 ovarian cancer sample gene expression data from Singapore.

Publication Title

CSIOVDB: a microarray gene expression database of epithelial ovarian cancer subtype.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE13975
Effects of labelling fetal MSC with MRI Particles: MGIO and Ferucarbotran
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cell tracking is enabled by incubating ex vivo cells with commercially/clinically available MRI particulate label, such as ferucarbotran. However, the uptake by non-phagocytic cells, such as mesenchymal stem cell (MSC) is poor, and the detection by MRI is impeded. MGIO is a new label that is efficiently taken up by MSC. The proliferation and differentiation capacity of labelled cells are usually assessed to determine cytotoxicity. In this study, we compared the global gene expression profiles of mock-labelled, ferucarbotran-labelled and MGIO-labelled fetal MSC.

Publication Title

Microgel iron oxide nanoparticles for tracking human fetal mesenchymal stem cells through magnetic resonance imaging.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE69428
Transformation of Human Fallopian Tube Stem Cells and high grade serous ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

High-grade serous ovarian cancer (HGSOC) progresses to advanced stages without symptoms and the 5-year survival rate is a dismal 30%. Recent studies of ovaries and oviducts in patients with BRCA mutations revealed that premalignant HGSC is found almost exclusively in the fallopian tube. To validate this notion, we cloned and transformed the fallopian tube stem cells (FTSC). We demonstrated that the tumors derived from the transformed fallopian tube stem cells (FTSCt) share the similar histological and molecular feature of high-grade serous cancer. In addition, a whole-genome transcriptome analysis comparing between FTSC, immortalized fallopian tube stem cells (FTSCi), and FTSCt showing a clear molecular progression, which is mimicked by the gene expression comparison between laser captured normal oviducts and HGSOC ( cancer and paired normal samples from 10 patients).

Publication Title

In vitro and in vivo correlates of physiological and neoplastic human Fallopian tube stem cells.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE69429
Molecular analysis of normal oviduct, STIC and invasive serous cancer
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

High-grade serous cancer (HGSC) progresses to advanced stages without symptoms and the 5-year survival rate is a dismal 30%. Recent studies of ovaries and fallopian tubes in patients with BRCA mutations revealed that pre-metastatic HGSC is found almost exclusively in the fallopian tube in a lesion termed serous tubal intraepithelial carcinoma or STIC. We have performed laser captured microdissection (LCM) of normal oviduct, STIC and invasive serous cancer from each patient. A whole-genome transcriptome analysis comparing between normal oviduct, STIC and invasive serous cancer were performed. We demonstrated a clear molecular progression from normal to STIC, which shared the gene expression patterns with invasive serous cancer, suggesting a new set of genes as basis of novel detection and therapeutic approaches to HGSC at its earliest stage.

Publication Title

In vitro and in vivo correlates of physiological and neoplastic human Fallopian tube stem cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE69453
Gene expression analysis of human fallopian tube stem cells and air-liquid interface differentiation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

If the fallopian tube is the origin of serous cancer, one possible mechanism for the evolution of cancer is a dysregulation of indigenous stem cells. We therefore set out to clone the stem cells of the human fallopian tube using methods to clone columnar epithelial stem cells such as human intestinal stem cells. Using this method, we were able to generate clones of fallopian tube stem cells that contain many small, undifferentiated cells. These stem cell clones show strong and consistent staining with markers of fallopian tube epithelial cells (PAX8). We also established an air-liquid interface culture system to differentiate fallopian tube stem cell to both ciliated cells and non-ciliated cells.

Publication Title

In vitro and in vivo correlates of physiological and neoplastic human Fallopian tube stem cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE28724
Expression data from cultured human ovarian carcinoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The hallmark of human cancer is heterogeneity, mirroring the complexity of genetic and epigenetic alterations acquired during oncogenesis. We extracted RNA of 34 cultured human ovarian carcinoma cell lines and performed expression microarrays so that cultured cell lines can represent in vivo human tumors.

Publication Title

Functional genomics identifies five distinct molecular subtypes with clinical relevance and pathways for growth control in epithelial ovarian cancer.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE96796
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip (gene symbol), Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE96792
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma [Hep3B]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sorafenib is the only approved targeted drug for hepatocellular carcinoma (HCC), but its effect on patients survival gain is limited and varies over a wide range depending on patho-genetic conditions. Thus, enhancing the efficacy of sorafenib and finding a reliable predictive biomarker are crucuial to achieve efficient control of HCCs. In this study, we employed a systems approach by combining transcriptome analysis of the mRNA changes in HCC cell lines in response to sorafenib with network analysis to investigate the action and resistance mechanism of sorafenib. Gene ontology and gene set analysis revealed that proteotoxic stress and apoptosis modules are activated in the presence of sorafenib. Further analysis of the endoplasmic reticulum (ER) stress network model combined with in vitro experiments showed that introducing an additional stress by treating the orally active protein disulfide isomerase (PDI) inhibitor (PACMA 31) can synergistically increase the efficacy of sorafenib in vitro and in vivo, which was confirmed using a mouse xenograft model. We also found that HCC patients with high PDI expression show resistance to sorafenib and poor clinical outcomes, compared to the low PDI expression group. These results suggest that PDI is a promising therapeutic target for enhancing the efficacy of sorafenib and can also be a biomarker for predicting sorafenib responsiveness.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE96794
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma [Huh7]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sorafenib is the only approved targeted drug for hepatocellular carcinoma (HCC), but its effect on patients survival gain is limited and varies over a wide range depending on patho-genetic conditions. Thus, enhancing the efficacy of sorafenib and finding a reliable predictive biomarker are crucuial to achieve efficient control of HCCs. In this study, we employed a systems approach by combining transcriptome analysis of the mRNA changes in HCC cell lines in response to sorafenib with network analysis to investigate the action and resistance mechanism of sorafenib. Gene ontology and gene set analysis revealed that proteotoxic stress and apoptosis modules are activated in the presence of sorafenib. Further analysis of the endoplasmic reticulum (ER) stress network model combined with in vitro experiments showed that introducing an additional stress by treating the orally active protein disulfide isomerase (PDI) inhibitor (PACMA 31) can synergistically increase the efficacy of sorafenib in vitro and in vivo, which was confirmed using a mouse xenograft model. We also found that HCC patients with high PDI expression show resistance to sorafenib and poor clinical outcomes, compared to the low PDI expression group. These results suggest that PDI is a promising therapeutic target for enhancing the efficacy of sorafenib and can also be a biomarker for predicting sorafenib responsiveness.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE96793
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma [HepG2]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sorafenib is the only approved targeted drug for hepatocellular carcinoma (HCC), but its effect on patients survival gain is limited and varies over a wide range depending on patho-genetic conditions. Thus, enhancing the efficacy of sorafenib and finding a reliable predictive biomarker are crucuial to achieve efficient control of HCCs. In this study, we employed a systems approach by combining transcriptome analysis of the mRNA changes in HCC cell lines in response to sorafenib with network analysis to investigate the action and resistance mechanism of sorafenib. Gene ontology and gene set analysis revealed that proteotoxic stress and apoptosis modules are activated in the presence of sorafenib. Further analysis of the endoplasmic reticulum (ER) stress network model combined with in vitro experiments showed that introducing an additional stress by treating the orally active protein disulfide isomerase (PDI) inhibitor (PACMA 31) can synergistically increase the efficacy of sorafenib in vitro and in vivo, which was confirmed using a mouse xenograft model. We also found that HCC patients with high PDI expression show resistance to sorafenib and poor clinical outcomes, compared to the low PDI expression group. These results suggest that PDI is a promising therapeutic target for enhancing the efficacy of sorafenib and can also be a biomarker for predicting sorafenib responsiveness.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

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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