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accession-icon SRP051501
RNA-SEQ profiling of dopaminergic neurons from the substantia nigra pars compacta and ventral tegmental area regions of the mouse mid-brain
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-SEQ profiling of dopaminergic neurons from the substantia nigra pars compacta and ventral tegmental area regions of the mouse mid-brain Overall design: Murine midbrain dopaminergic neurons from the SNpc and VTA regions

Publication Title

Identification of neurodegenerative factors using translatome-regulatory network analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP036861
RNA-SEQ profiling of dopaminergic neurons from the mid-brain of mice that received intraperitoneal injections of MPTP
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-SEQ of dopaminergic neurons from the mid-brain of mice that received one daily intraperitoneal injection of MPTP-HCl (30 mg/kg free base per day) or saline for five consecutive days. Samples were taken 4 days. Overall design: Murine midbrain dopaminergic neurons that were treated with MPTP-HCl

Publication Title

Identification of neurodegenerative factors using translatome-regulatory network analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43292
Genome-wide expression study of human carotid atheroma
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim of this study was to identify new biomarkers and to investigate pathways involved in the progression of human carotid atheroma.

Publication Title

Identification of two genes potentially associated in iron-heme homeostasis in human carotid plaque using microarray analysis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE35640
Identification of a predictive gene signature to recMAGE A3 antigen-specific cancer immunotherapy in metastatic melanoma and non-small-cell lung cancer
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: To evaluate the presence of a gene expression signature present before treatment as predictive of response to treatment with MAGEA3

Publication Title

Predictive gene signature in MAGE-A3 antigen-specific cancer immunotherapy.

Sample Metadata Fields

Specimen part

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accession-icon GSE4917
Time course microarray data following GR activation in MCF10A-Myc breast cells
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This series contain time course microarray data from MCF10A-Myc cells treated with either ethanol or Dexamethasone for 30 min, 2 hr, 4 hr, and 24 hr. This series contains three biological replicates that were analyzed as independent replicate experiments (data were normalized within each replicate experiment, not across all samples).

Publication Title

Glucocorticoid receptor activation signals through forkhead transcription factor 3a in breast cancer cells.

Sample Metadata Fields

Age

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accession-icon GSE55466
Gene expression profiling of myxoid liposarcomas
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of a gene expression driven progression pathway in myxoid liposarcoma.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE55465
Gene expression profiling of myxoid liposarcomas (validation set INT-B)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

FUS-CHOP and EWS-CHOP balanced translocations characterize myxoid liposarcoma which encompasses myxoid (ML) and round cell (RC) variants initially believed to be distinct diseases. Currently, myxoid and RC liposarcoma are regarded to represent the well differentiated and the poorly differentiated ends, respectively, within spectrum of myxoid liposarcoma where the fusion proteins blocking lipogenic differentiation play a role in tumor initiation while molecular determinants associated to progression to RC remain poorly understood. Activation of AKT pathway sustained by PIK3CA and PTEN mutations and growth factor receptor signalling such as RET and IGF1R have been recently correlated with the increasing of aggressiveness and RC. Aim of the present study is to elucidate molecular events involved in driving round cell progression analyzing two small series of MLS selected to be representative of the two end of the gamut: the pure myxoid (0% of RC component) and RC with high cellular component (80%).

Publication Title

Identification of a gene expression driven progression pathway in myxoid liposarcoma.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE59506
Subcellular transcriptome alterations in a cell culture model of spinal muscular atrophy point to widespread defects in axonal growth and presynaptic differentiation
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Neuronal function critically depends on coordinated subcellular distribution of mRNAs. Disturbed mRNA processing and axonal transport has been found in spinal muscular atrophy and could be causative for dysfunction and degeneration of motoneurons. Despite the advances made in characterizing the transport mechanisms of several axonal mRNAs, an unbiased approach to identify the axonal repertoire of mRNAs in healthy and degenerating motoneurons has been lacking. Here we used compartmentalized microfluidic chambers to investigate the somatodendritic and axonal mRNA content of cultured motoneurons by microarray analysis. In axons, transcripts related to protein synthesis and energy production were enriched relative to the somatodendritic compartment. Knockdown of Smn, the protein deficient in spinal muscular atrophy, produced a large number of transcript alterations in both compartments. Transcripts related to immune functions, including MHC class I genes, and with roles in RNA splicing were upregulated in the somatodendritic compartment. On the axonal side, transcripts associated with axon growth and synaptic activity were downregulated. These alterations provide evidence that subcellular localization of transcripts with axonal functions as well as regulation of specific transcripts with nonautonomous functions is disturbed in Smn-deficient motoneurons, most likely contributing to the pathophysiology of spinal muscular atrophy.

Publication Title

Subcellular transcriptome alterations in a cell culture model of spinal muscular atrophy point to widespread defects in axonal growth and presynaptic differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE39291
Expression Profiles of HepG2 cells treated with following oxidants: 100M menadione, 200M TBH or 50M H2O2
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

The transcriptomic changes induced in the human liver cell line HepG2 by 100M menadione, 200M TBH or 50M H2O2 after treatment for 0.5, 1, 2, 4, 6, 8 and 24h.

Publication Title

Time series analysis of oxidative stress response patterns in HepG2: a toxicogenomics approach.

Sample Metadata Fields

Cell line

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accession-icon GSE30219
"Off-context" gene expression in lung cancer identifies a group of metastatic-prone tumors
  • organism-icon Homo sapiens
  • sample-icon 299 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An unexplored consequence of epigenetic alterations associated with cancer is the ectopic expression of tissue-restricted genes. Here, a new strategy was developed to decipher genome-wide expression data in search for these off-context gene activations, which consisted first, in identifying a large number of tissue-specific genes normally epigenetically silenced in most somatic cells and second, in using them as cancer biomarkers on an on/off basis. Applying this concept to analyze whole-genome transcriptome data in lung cancer, we discovered a specific group of 26 genes whose expression was a strong and independent predictor of poor prognosis in our cohort of 293 lung tumours, as well as in two independent external populations. In addition, these 26 classifying genes enabled us to isolate a homogenous group of metastatic-prone highly aggressive tumours, whose characteristic gene expression profile revealed a high proliferative potential combined to a significant decrease in immune and signaling functions. This work illustrates a new approach for a personalized management of cancer, with applications to any cancer type.

Publication Title

Ectopic activation of germline and placental genes identifies aggressive metastasis-prone lung cancers.

Sample Metadata Fields

Sex, 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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