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accession-icon GSE99557
Expression data from a lung metastatic cell line or metastatic explants in mouse and human
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Clariom S Array (clariomsmouse), Affymetrix Clariom S Human array (clariomshuman)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

PGC-1α Promotes Breast Cancer Metastasis and Confers Bioenergetic Flexibility against Metabolic Drugs.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE99555
Expression data from lung metastasis
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Clariom S Array (clariomsmouse)

Description

The role of PGC1alpha in breast cancer lung metastasis is largely unknown. We used expression data from lung metastasis of mice injected with PGC1alpha overexpression or control cells to understand global changes that occur upon overexpression of PGC1alpha that lead to lung metastasis.

Publication Title

PGC-1α Promotes Breast Cancer Metastasis and Confers Bioenergetic Flexibility against Metabolic Drugs.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE99556
Expression data from lung metastatic explants
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Clariom S Array (clariomsmouse)

Description

The role of PGC1alpha in breast cancer lung metastasis is largely unknown. We used expression data from lung metastatic explants overexpressing PGC1alpha or control, treated with phenformin to understand global gene expression changes which occur in a PGC1alpha context and under phenformin treatment.

Publication Title

PGC-1α Promotes Breast Cancer Metastasis and Confers Bioenergetic Flexibility against Metabolic Drugs.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE99554
Expression data from a human lung metastatic cell line treated with siPGC1alpha or siControl
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

To understand global expression changes in a knockdown of PGC1alpha (siPGC1alpha) vs control (siControl) in a lung metastatic cell line (4175)

Publication Title

PGC-1α Promotes Breast Cancer Metastasis and Confers Bioenergetic Flexibility against Metabolic Drugs.

Sample Metadata Fields

Cell line

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accession-icon GSE55541
Human ESC-based modeling of pediatric gliomas by K27M mutation in histone H3.3 variant
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human diffuse intrinsic pontine gliomas (DIPG) are an aggressive form of pediatric brain tumors that arise in the pons in young children thus resulting in significant morbidity and very poor survival. Recent data suggest that mutations in the histone H3.3 variant are often found in these tumors, though the mechanism of their contribution to oncogenesis remains to be elucidated. Here we report that the combination of constitutive PDGFRA activation and p53 suppression as well as expression of the K27M mutant form of the histone H3.3 variant leads to neoplastic transformation of hPSC-derived neural precursors. Our study demonstrates that human ES cells represent an excellent platform for the modeling of human tumors in vitro and in vivo, which could potentially lead to the elucidation of the molecular mechanisms underlying neoplastic transformation and the identification of novel therapeutic targets.

Publication Title

Use of human embryonic stem cells to model pediatric gliomas with H3.3K27M histone mutation.

Sample Metadata Fields

Specimen part

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accession-icon SRP056784
Omic Personality: Implications of Stable Transcript and Methylation Profiles for Personalized Medicine [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Background: Personalized medicine is predicated on the notion that individual biochemical and genomic profiles are relatively constant in times of good health and to some extent predictive of disease or therapeutic response. We report a pilot study quantifying gene expression and methylation profile consistency over time, addressing the reasons for individual uniqueness, and its relation to N=1 phenotypes. Methods: Whole blood samples from 4 African American women, 4 Caucasian women, and 4 Caucasian men drawn from the Atlanta Center for Health Discovery and Well Being study at three successive 6-month intervals were profiled by RNASeq, miRNASeq, and Illumina Methyl-450 arrays. Standard regression approaches were used to evaluate the proportion of variance for each type of omic measure that is among individuals, and to quantify correlations among measures and with clinical attributes related to wellness. Results: Longitudinal omic profiles are in general highly consistent over time, with an average of 67% of the variance in transcript abundance, 42% of CpG methylation level (but 88% for the most differentiated CpG per gene), and 50% of miRNA abundance among individuals, which are all comparable to 74% of the variance among individuals for 74 clinical traits. One third of the variance can be attributed to differential blood cell type abundance, which is also fairly stable over time, and a lesser amount to eQTL effects, whereas seven conserved axes of covariance that capture diverse aspects of immune function explain over half of the variance. These axes also explain a considerable proportion of individually extreme transcript abundance, namely approximately 100 genes that are significantly up- or down-regulated in each person and are in some cases enriched for relevant gene activities that plausibly associate with clinical attributes. A similar fraction of genes have individually divergent methylation levels, but these do not overlap with the transcripts, and fewer than 20% of genes have significantly correlated methylation and gene expression. Conclusions: People express an “omic personality” consisting of peripheral blood transcriptional and epigenetic profiles that are constant over the course of a year and reflect various types of immune activity. Baseline genomic profiles can provide a window into the molecular basis of traits that might be useful for explaining medical conditions or guiding personalized health decisions. Overall design: Whole blood samples from 12 subjects drawn from the Atlanta Center for Health Discovery and Well Being study at three successive 6-month intervals were profiled by RNASeq, miRNASeq, and Illumina Methyl-450 arrays.

Publication Title

Omic personality: implications of stable transcript and methylation profiles for personalized medicine.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE66387
Microarray analysis of differentially expressed genes in ovarian and fallopian tube epithelium from risk-reducing salpingo-oophorectomies
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Mutations in BRCA1 and BRCA2 genes confer an increased lifetime risk for breast and ovarian cancer. Ovarian cancer risk can be decreased by risk-reducing salpingo-oophorectomy (RRSO). Studies on RRSO material have altered the paradigm of serous ovarian cancer pathogenesis.

Publication Title

Microarray analysis of differentially expressed genes in ovarian and fallopian tube epithelium from risk-reducing salpingo-oophorectomies.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP157558
Identification of differentially expressed genes between male and female in mouse embryonic fibroblasts (MEFs).
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The transcriptomic profiles of mouse embryonic fibroblasts (MEFs) were investigated using the next-generation RNA sequencing (RNA-Seq). The CLC Genomic Workbench software was used to screen the differentially expressed transcripts. A total of 49 genes with a significantly differential expression (false discovery rate (FDR) p<0.05, fold change >2) in the female group as compared with the male group. Overall design: mRNA profiles of mouse embryonic fibroblast (MEF) were generated by RNA sequencing using the NextSeq 500 (Illumina).

Publication Title

KDM5D-mediated H3K4 demethylation is required for sexually dimorphic gene expression in mouse embryonic fibroblasts.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE24558
GBM brain tumors
  • organism-icon Homo sapiens
  • sample-icon 16 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

Glioblastoma stem-like cells give rise to tumour endothelium.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE24557
Exon-level expression profiles of GBM brain tumors
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Transcriptome analysis of RNAs from brain tumor

Publication Title

Glioblastoma stem-like cells give rise to tumour endothelium.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
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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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