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accession-icon GSE5090
PCOS patients vs control subjects
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This experiment was designed to study if there are differences in gene expression in the adipose tissue of women affected by polycystic ovary syndrome (PCOS) compared to non-hyperandrogenic women. PCOS is the most common endocrinopathy in women of reproductive age, and is characterized by hyperandrogenism and chronic anovulation. This disease is frequently associated with obesity, insulin resistance, and defects in insulin secretion, predisposing these women to type 2 diabetes, atherosclerosis, and cardiovascular disease.

Publication Title

Differential gene expression profile in omental adipose tissue in women with polycystic ovary syndrome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE59196
Frequent Loss-of-Function Mutations in MLK4 Suppresses Signaling in the JNK-cJUN-p21/p15 Pathway to Promote Growth of Colon Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The goal of the study was to evaluate the influence of mutations in MLK4 on the protein function and the process of tumorigenesis in colorectal cancers. Biochemical data imply that a majority of MLK4 mutations in colon cancer are loss-of-function, including, E314K and Y330H mutations.

Publication Title

Recurrent MLK4 Loss-of-Function Mutations Suppress JNK Signaling to Promote Colon Tumorigenesis.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE43895
Expression analysis of MDA-MD-231 cells that express lysine racemase (lyr) when grown on D-Lysine versus L-Lysine
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This experiment aimed to investigate whether cells that express the L-Lysine-producing enzyme lyr exhibit any mRNA changes when grown on precursor D-Lysine relative to L-Lysine.

Publication Title

Cell-selective labeling using amino acid precursors for proteomic studies of multicellular environments.

Sample Metadata Fields

Cell line

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accession-icon GSE43894
Expression analysis of 3T3 cells that express Arabidopsis-derived Diaminopimelate Decarboxylase (DDC) in response to growth on meso-2,6-diaminopimelic acid (DAP) versus L-Lysine
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This experiment aimed to investigate whether cells that express the L-Lysine-producing enzyme DDC exhibit any mRNA changes when grown on precursor DAP relative to L-Lysine.

Publication Title

Cell-selective labeling using amino acid precursors for proteomic studies of multicellular environments.

Sample Metadata Fields

Cell line

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accession-icon GSE50751
Drug Synergy Screen and Network Modeling in Dedifferentiated Liposarcoma (DDLS)
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Drug synergy screen and network modeling in dedifferentiated liposarcoma identifies CDK4 and IGF1R as synergistic drug targets.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE50749
Drug Synergy Screen and Network Modeling in Dedifferentiated Liposarcoma (DDLS) part 1
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Analysis of gene expression levels in two DDLS tumor-derived cell lines DDLS8817 and LPS141 growing in culture in basal conditions

Publication Title

Drug synergy screen and network modeling in dedifferentiated liposarcoma identifies CDK4 and IGF1R as synergistic drug targets.

Sample Metadata Fields

Cell line

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accession-icon GSE67358
Promotion of pancreatic cancer metastasis by mutant p53
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The TP53 transcription factor is frequently mutated at later stages of epithelial cancers, indicating a possible role in their invasion and metastasis. Importantly, in most cases rather than a simple loss of function p53 mutation, point mutations of p53 accumulate at the protein level and may have dominant negative functions. This study analyses gene expression differences between mice harbouring p53 mutation who do and do not develop metastasis.

Publication Title

Targeting the LOX/hypoxia axis reverses many of the features that make pancreatic cancer deadly: inhibition of LOX abrogates metastasis and enhances drug efficacy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28619
Transcriptome Analysis Identifies Fn14, a TNF Superfamily Receptor Member, as a Therapeutic Target in Alcoholic Hepatitis
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Alcoholic hepatitis (AH) is the most severe form of alcoholic liver disease and occurs in patients with excessive alcohol intake It is characterized by marked hepatocellular damage, steatosis and pericellular fibrosis. Patients with severe AH have a poor short-term prognosis. Unfortunately, current therapies (i.e. corticosteroids and pentoxyphylline) are not effective in many patients and novel targeted therapies are urgently needed. The development of such therapies is hampered by a poor knowledge of the underlying molecular mechanisms. Based on studies from animal models, TNF alfa was proposed to play a pivotal role in the mechanisms of AH. Consequently, drugs interfering TNF alfa were tested in these patients. The results were disappointing due to an increased incidence of severe infections. Unluckily, there are not experimental models that mimic the main findings of AH in humans. To overcome this limitation, translational studies with human samples are required. We previously analyzed samples from patients with biopsy-proven AH. In these previous studies, we identified CXC chemokines as a potential therapeutic target for these patients. We expanded these previous observations by performing a high-throughout transcriptome analysis.

Publication Title

Transcriptome analysis identifies TNF superfamily receptors as potential therapeutic targets in alcoholic hepatitis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064259
The Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance (RNASeq)
  • organism-icon Homo sapiens
  • sample-icon 82 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Large-scale genomic studies have identified multiple somatic aberrations in breast cancer, including copy number alterations, translocations, and point mutations. Still, identifying causal variants and emergent vulnerabilities that arise as a consequence of genetic alterations remain major challenges. We performed whole genome shRNA “dropout screens” on 77 breast cancer cell lines. Using a new hierarchical linear regression algorithm to score our screen results and integrate them with accompanying detailed genetic and proteomic information, we identify novel vulnerabilities in breast cancer, including new candidate “drivers,” and reveal general functional genomic properties of cancer cells. Comparisons of gene essentiality with drug sensitivity data suggest potential resistance mechanisms, novel effects of existing anti-cancer drugs, and new opportunities for combination therapy. Finally, we demonstrate the utility of this large dataset by identifying BRD4 as a potential target in luminal breast cancer, and PIK3CA mutations as a resistance determinant for BET-inhibitors. Additional formatted data can be found at http://neellab.github.io/bfg/. Code and tutorials for the siMEM algorithm can be found at http://neellab.github.io/simem/. Overall design: RNA-Seq expression profiling of 82 breast cancer cell lines without replicates or control samples

Publication Title

Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE42954
Expression profiling of prostate cancer biopsies.
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This work was conducted to identify shared and specific target genes of different ETS transcription factor rearrangements in prostate cancer. Potential target genes were identified by differential gene expression analysis of primary tumor samples with ETS rearrangements, and validated by ETS silencing in prostate cancer cell lines.

Publication Title

Molecular subtyping of primary prostate cancer reveals specific and shared target genes of different ETS rearrangements.

Sample Metadata Fields

Specimen part

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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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