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accession-icon GSE63037
Expression data from glioblastoma stem-like cells (GSCs) and astrocyte co-cultured GSCs
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

consequences of astrocytes on GSCs, gene expression profiles generated from glioblastoma stem-like cells grown alone (mono-culture) and compared to those generated 48h after the initiation of co-culture with astrocytes

Publication Title

Coculture with astrocytes reduces the radiosensitivity of glioblastoma stem-like cells and identifies additional targets for radiosensitization.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE74084
Expression data from NSC11, 0923, and GBMJ1 polysome-bound RNA and total RNA
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Defining radioresponse using the translatome and the transcriptome to identify functional consequences of radiation.

Publication Title

Polysome Profiling Links Translational Control to the Radioresponse of Glioblastoma Stem-like Cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

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accession-icon GSE36179
MDA-MB-231 eIF4E RIP-CHIP
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Cytoplasmic RNA bound to eIF4E was pulled down from MDA-MB-231 cells to determine the influence of radiation on eIF4E mRNA binding

Publication Title

Translation initiation factor eIF4E is a target for tumor cell radiosensitization.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE8121
Pediatric septic shock
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In an ongoing translational research program involving microarray-based expression profiles in pediatric septic shock, we have now conducted longitudinal studies focused on the temporal expression profiles of canonical signaling pathways and gene networks. Genome-level expression profiles were generated from whole blood-derived RNA samples of children with septic shock (n = 30 individual patients) corresponding to days 1 and 3 of admission to the pediatric intensive care unit. Based on sequential statistical and expression filters, day 1 and day 3 of septic shock were characterized by differential regulation of 2,142 and 2,504 gene probes, respectively, relative to normal control patients. Venn analysis demonstrated 239 unique genes in the day 1 data set, 598 unique genes in the day 3 data set, and 1,906 genes common to both data sets. Analyses targeted toward derivation of biological function from these data sets demonstrated time-dependent, differential regulation of genes involved in multiple canonical signaling pathways and gene networks primarily related to immunity and inflammation. Notably, multiple and distinct gene networks involving T cell- and MHC antigen-related biological processes were persistently downregulated from day 1 to day 3. Further analyses demonstrated large scale and persistent downregulation of genes corresponding to functional annotations related to zinc homeostasis. These data represent the largest reported cohort of patients with septic shock, which has undergone longitudinal genome-level expression profiling. The data further advance our genome-level understanding of pediatric septic shock and support novel hypotheses that can be readily tested at both the experimental and translational levels.

Publication Title

Genome-level longitudinal expression of signaling pathways and gene networks in pediatric septic shock.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4607
Systemic inflammatory response syndrome and septic shock
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Goal of the experiment: To identify correlated genes, pathways and groups of patients with systemic inflammatory response syndrome and septic shock that is indicative of biologically important processes active in these patients.

Publication Title

Genome-level expression profiles in pediatric septic shock indicate a role for altered zinc homeostasis in poor outcome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE58644
The prognostic ease and difficulty of invasive breast carcinoma
  • organism-icon Homo sapiens
  • sample-icon 319 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Breast carcinoma (BC) have been extensively profiled by high-throughput technologies for over a decade, and broadly speaking, these studies can be grouped into those that seek to identify patient subtypes (studies of heterogeneity) or those that seek to identify gene signatures with prognostic or predictive capacity. The shear number of reported signatures has led to speculation that everything is prognostic in BC. Here we show that this ubiquity is an apparition caused by a poor understanding of the inter- relatedness between subtype and the molecular determinants of prognosis. Our approach constructively shows how to avoid confounding due to a patient's subtype, clinicopathological or treatment profile. The approach identifies patients who are predicted to have good outcome at time of diagnosis by all available clinical and molecular markers, but who experience a distant metastasis within five years. These inherently difficult patients (~7% of BC) are prioritized for investigations of intra-tumoral heterogeneity.

Publication Title

The prognostic ease and difficulty of invasive breast carcinoma.

Sample Metadata Fields

Age, Disease stage, Time

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accession-icon GSE5509
Expression data from Rat liver 48 hours after treated with different toxic compounds.
  • organism-icon Rattus norvegicus
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Rat has been treated with different compounds with the purpose of investigating toxicological mechanisms. But toxic and non-toxic compounds has been administered. 3 toxic (ANIT, DMN, NMF) 3 non-tox (Caerulein, dinitrophenol(DNP), Rosiglitazone) in 5-plicates (30 arrays in all) and 9 untreated (control), 39 samples in all.

Publication Title

Integration of clinical chemistry, expression, and metabolite data leads to better toxicological class separation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE35404
miRNA and mRNA expression profiling of hepatocellular carcinoma induced by AAV in vivo gene targeting at the Rian locus
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Induction of hepatocellular carcinoma by in vivo gene targeting.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE35403
mRNA expression profiling of hepatocellular carcinoma induced by AAV in vivo gene targeting at the Rian locus
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

The distinct phenotypic and prognostic subclasses of human hepatocellular carcinoma (HCC) are difficult to reproduce in animal experiments. Here we have used in vivo gene targeting to insert an enhancer-promoter element at an imprinted chromosome 12 locus in mice, thereby converting ~1 in 20,000 normal hepatocytes into a focus of HCC with a single genetic modification. A 300 kb chromosomal domain containing multiple mRNAs, snoRNAs and microRNAs was activated surrounding the integration site. An identical domain was activated at the syntenic locus in a specific molecular subclass of spontaneous human HCCs with a similar histological phenotype, which was associated with partial loss of DNA methylation. These findings demonstrate the accuracy of in vivo gene targeting in modeling human cancer, and suggest future applications in studying various tumors in diverse animal species. In addition, similar insertion events produced by randomly integrating vectors could be a concern for liver-directed human gene therapy.

Publication Title

Induction of hepatocellular carcinoma by in vivo gene targeting.

Sample Metadata Fields

Age

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accession-icon SRP055864
Transcriptome analyses of skeletal muscle in aB-crystallin/HspB2 knockout and wild-type mice on a normal or high fat diet
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We profiled the skeletal muscle transcriptome between wild type and aB-crystallin/HspB2 knock mice exposed to normal chow and high fat diets to examine the role of aB-crystallin/HspB2 in diet induced obesity. Combined with metabolic profiling of the mice, these data reveal that aB-crystallin/HspB2 is involved in the genesis of insulin resistance on a high fat diet, and we provide extensive RNA profiling to illuminate potential mechanistic insights into the muscle-specific role of aB-crystallin/HspB2. Overall design: Hind limb muscle mRNA profiles of wild type and aB-crystallin/HspB2 knock mice exposed to either normal chow or high fat diets using RNAseq analysis

Publication Title

αB-crystallin and HspB2 deficiency is protective from diet-induced glucose intolerance.

Sample Metadata Fields

No sample metadata fields

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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)

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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