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accession-icon GSE33232
Cancer Outlier Gene Profile Sets Elucidate Pathways and Patient-Specific Targets in Head and Neck Squamous Cell Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 126 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Toward Signaling-Driven Biomarkers Immune to Normal Tissue Contamination.

Sample Metadata Fields

Disease, Disease stage

View Samples
accession-icon GSE80667
CoGAPS matrix factorization algorithm identifies AP-2alpha as a feedback mechanism from therapeutic inhibition of the EGFR network
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Patients with oncogene driven tumors are currently treated with targeted therapeutics such as epidermal growth factor receptor (EGFR) inhibitors. The inhibited oncogenic pathway often interacts with other signaling pathways and alters predicted therapeutic response. Genomic data from The Cancer Genome Atlas (TCGA) demonstrates pervasive molecular alterations to EGFR, MAPK, and PI3K signaling in previously untreated tumors. Therefore, this study uses bioinformatics algorithms to infer the complex pathway interactions that result from EGFR inhibitor use in cancer cells that contain these these common EGFR network genetic alterations. To do this, we modified the HaCaT keratinocyte cell line model of premalignancy to simulate cancer cells with constitutive activation of EGFR, HRAS, and PI3K in a controlled genetic background. We then measured gene expression after treating modified HaCaT cells with three EGFR targeted agents (gefitinib, afatinib, and cetuximab) for 24 hours.

Publication Title

CoGAPS matrix factorization algorithm identifies transcriptional changes in AP-2alpha target genes in feedback from therapeutic inhibition of the EGFR network.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE62027
HNSCC cell lines for CoGAPS matrix factorization algorithm identifies AP-2alpha as a feedback mechanism from therapeutic inhibition of the EGFR network
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To determine the expression AP2-alpha target genes, global gene expression of 7 HNSCC cell lines with and without cetuximab treatment (100 nM, 24 hrs) and the HaCaT keratinocyte cell line was performed.

Publication Title

CoGAPS matrix factorization algorithm identifies transcriptional changes in AP-2alpha target genes in feedback from therapeutic inhibition of the EGFR network.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE33205
Cancer Outlier Gene Profile Sets Elucidate Pathways and Patient-Specific Targets in Head and Neck Squamous Cell Carcinoma [Affymetrix HuEx1.0]
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This study integrated Affymetrix SNPchip data for CNV estimation, Affymetrix HuEx1.0 data for gene expression estimation, and Illumina HumanMethylation27k BeadChip data for promoter methylation to estimate pathway activity

Publication Title

Activation of the NOTCH pathway in head and neck cancer.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE44266
Deregulation of microRNAs by HIV-1 Vpr protein leads to the development of neurocognitive disorders.
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Studies have shown that HIV-infected patients develop neurocognitive disorders characterized by neuronal dysfunction. The lack of productive infection of neurons by HIV suggests that viral and cellular proteins, with neurotoxic activities, released from HIV-1-infected target cells can cause this neuronal deregulation. The viral protein R (Vpr), a protein encoded by HIV-1, has been shown to alter the expression of various important cytokines and inflammatory proteins in infected and uninfected cells; however the mechanisms involved remain unclear. Using a human neuronal cell line, we found that Vpr can be taken up by neurons causing: (i) deregulation of calcium homeostasis, (ii) endoplasmic reticulum-calcium release, (iii) activation of the oxidative stress pathway, (iv) mitochondrial dysfunction and v- synaptic retraction. In search for the cellular factors involved, we performed microRNAs and gene array assays using human neurons (primary cultures or cell line, SH-SY5Y) that we treated with recombinant Vpr proteins. Interestingly, Vpr deregulates the levels of several microRNAs (e.g. miR-34a) and their target genes (e.g. CREB), which could lead to neuronal dysfunctions. Therefore, we conclude that Vpr plays a major role in neuronal dysfunction through deregulating microRNAs and their target genes, a phenomenon that could lead to the development of neurocognitive disorders.

Publication Title

Deregulation of microRNAs by HIV-1 Vpr protein leads to the development of neurocognitive disorders.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE18332
Gene expression from chromogranin A knockout mice vs. wild-type mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2), Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Global metabolic consequences of the chromogranin A-null model of hypertension: transcriptomic detection, pathway identification, and experimental verification.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP079184
PRC2 represses transcriptionally competent genes on the inactive X-chromosome
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Polycomb repressive complex 2 (PRC2) catalyzes histone H3K27me3, which characterizes many silenced genes including those on the inactive X-chromosome. Here we interrogate the role of core PRC2 protein EED in X-linked gene silencing by assessing allele-specific X-linked gene expression in WT and Eed-/- hybrid mouse trophoblast stem cells (TSCs) harboring a 129/S1-derived maternal X-chromosome and a JF1/Ms-derived paternal X-chromosome. This study generates mRNA-seq data for WT and Eed-/- TSCs, which undergo imprinted inactivation of the paternal X-chromosome. RNA-seq data was mapped allele-specifically to in silico strain-specific maternal and paternal reference genomes, generated based on known single nucleotide polymorphisms. We find that EED loss abrogates H3K27me3 and expression of Xist lncRNA, which is required for X-inactivation, however, despite the absence of H3K27me3 and Xist, only a subset of PRC2 target genes are derepressed in Eed-/- TSCs. Overall design: RNA-seq profiles of four WT (Eed +/+ and Eed fl/fl) and three EED null (Eed -/-) female TS cell lines were generated through strand-specific 100 bp paired-end sequencing on the Illumina HiSeq2000

Publication Title

PRC2 represses transcribed genes on the imprinted inactive X chromosome in mice.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE18305
Liver gene expression from chromogranin A knockout mice (Mahapatra et al. 2005) vs. wild-type mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The objective of the experiment is to determine the genes differentially expressed in the liver of the chromogranin A knockout mouse (Mahapatra et al., 2005).

Publication Title

Global metabolic consequences of the chromogranin A-null model of hypertension: transcriptomic detection, pathway identification, and experimental verification.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE18304
Adrenal gland gene expression from chromogranin A knockout mice (Mahapatra et al. 2005) vs. wild-type mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The objective of the experiment is to determine the genes differentially expressed in the adrenal gland of the chromogranin A knockout mouse (Mahapatra et al., 2005).

Publication Title

Global metabolic consequences of the chromogranin A-null model of hypertension: transcriptomic detection, pathway identification, and experimental verification.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE60162
Microrray expression data of Osteoarthritis synovial fibroblasts (OASF) transfected with TBX5
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

TBX5 is hypomethylated in Rheumatoid Arthritis synovial fibroblasts (RASF). Hypomethylation increased the TBX5 expression in RASF.

Publication Title

Epigenome analysis reveals TBX5 as a novel transcription factor involved in the activation of rheumatoid arthritis synovial fibroblasts.

Sample Metadata Fields

Specimen part

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

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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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