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accession-icon GSE37832
Expression data from mouse embryonic neural stem cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Neural stem cells from different brain regions show differencies in gene expression patterns and physiological functions.

Publication Title

Innate neural stem cell heterogeneity determines the patterning of glioma formation in children.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE28998
Human skeletal muscle transcriptional response to exercise
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this investigation was to evaluate the effect of training on the global transcriptional response of skeletal muscle to an acute bout of resistance exercise.

Publication Title

Resistance exercise training influences skeletal muscle immune activation: a microarray analysis.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE24235
Skeletal muscle gene expression in response to resistance exercise: sex specific regulation
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The molecular mechanisms underlying the sex differences in human muscle morphology and function remain to be elucidated. The purpose of the study was to detect the sex differences in the skeletal muscle transcriptome in both the resting state and following anabolic stimuli, resistance exericse.

Publication Title

Skeletal muscle gene expression in response to resistance exercise: sex specific regulation.

Sample Metadata Fields

Sex

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accession-icon GSE38718
Sex and aging effect on skeletal muscle transcriptome in humans
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this investigation was to develop a global view of muscle transcriptional differences between older men and women and with aging for each sex.

Publication Title

Microarray analysis reveals novel features of the muscle aging process in men and women.

Sample Metadata Fields

Sex

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accession-icon GSE5675
Pilocytic astrocytoma
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Pilocytic astrocytomas (PAs) are the most common glioma in children. While many PAs are slow growing or clinically indolent, others exhibit more aggressive features with tumor recurrence and death. In order to identify genetic signatures that might predict PA clinical behavior, we performed gene expression profiling on 41 primary PAs arising sporadically and in patients with neurofibromatosis type 1 (NF1). While no expression signature was found that could discriminate clinically-aggressive or recurrent tumors from more indolent cases, PAs arising in patients with NF1 did exhibit a unique gene expression pattern. In addition, we identified a gene expression signature that stratified PAs by location (supratentorial versus infratentorial).

Publication Title

Distinct genetic signatures among pilocytic astrocytomas relate to their brain region origin.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5582
Neocortical and cerebellar astrocytes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Affymetrix Mouse Genome 430 2.0 GeneChip microarrays were used to analyze murine neocortical and cerbellar astrocytes generated from postnatal (PN) day 1 wild-type (ICR) pups.

Publication Title

Distinct genetic signatures among pilocytic astrocytomas relate to their brain region origin.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE16674
Analysis of gene expression in miR-34a overexpressing K562 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

miR-34a is strongly induced upon TPA-induced megakaryocyte differentiation of K562 cells. To investigate the gene networks regulated by this miRNA during the process of differentiation we performed gene microarray analysis in K562 cells overexpressing miR-34a or a control sequence.

Publication Title

miR-34a contributes to megakaryocytic differentiation of K562 cells independently of p53.

Sample Metadata Fields

Cell line

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accession-icon SRP054255
RNA-sequencing of tumor-associated microglia reveals Ccl5 as a stromal chemokine critical for neurofibromatosis-1 glioma growth
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Solid cancers develop within a supportive microenvironment that promotes tumor formation and continued growth through the elaboration of mitogens and chemokines. Within these tumors, monocytes (macrophages and microglia) represent rich sources of these stromal factors. Leveraging a genetically-engineered mouse model of neurofibromatosis type 1 (NF1) low-grade brain tumor (optic glioma), previous studies have demonstrated that microglia are important for glioma formation and maintenance. To identify the tumor-associated microglial factors that support glioma growth (gliomagens), we employed a comprehensive large scale discovery effort using optimized advanced RNA-sequencing methods. Candidate gliomagens were prioritized to identify potential secreted or membrane-bound proteins, which were next validated by quantitative RT-PCR and RNA FISH following minocycline-mediated microglial inactivation in vivo. Using these selection criteria, Ccl5 was identified as a highly expressed chemokine in both genetically engineered Nf1 mouse and human optic gliomas. As a candidate gliomagen, recombinant Ccl5 increased Nf1-deficient optic nerve astrocyte growth in vitro. Importantly, consistent with its critical role in maintaining tumor growth, Ccl5 inhibition with neutralizing antibodies reduced Nf1 mouse optic glioma growth in vivo. Collectively, these findings establish Ccl5 as critical stromal growth factor in low-grade glioma maintenance relevant to future microglia-targeted therapies for brain tumors. Overall design: Nf1 optic glioma associated microglia from mice were flow sorted. Upregulated genes of glioma associated microglia were verified and further examined.

Publication Title

RNA Sequencing of Tumor-Associated Microglia Reveals Ccl5 as a Stromal Chemokine Critical for Neurofibromatosis-1 Glioma Growth.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14519
Expression data from multiple myeloma cells treated with arsenic
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to examine changes in gene expression in multiple myeloma cell lines following treatment with arsenic trioxide and darinaparsin

Publication Title

Darinaparsin induces a unique cellular response and is active in an arsenic trioxide-resistant myeloma cell line.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43482
Cytosolic DNA stimulated gene regulation
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

STING recognition of cytoplasmic DNA instigates cellular defense.

Sample Metadata Fields

Specimen part, Cell line

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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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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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