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accession-icon GSE50933
Essential functions for ID proteins at multiple checkpoints in natural killer T cell development
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Thymic iNKT cell development is divided into four stages (stage 0-3) that are characterised, in C57BL/6 mouse strain, by the differential expression of surface markers, such as CD24, CD44 and NK1.1. During transition from immature to mature iNKT cell subsets, gene expression is tightly regulated. Here, we used microarray analysis to detail the influence of the transcriptional regulator ID3 during iNKT cell maturation in the thymus.

Publication Title

Essential functions for ID proteins at multiple checkpoints in invariant NKT cell development.

Sample Metadata Fields

Age, Specimen part

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accession-icon E-MEXP-413
Transcription profiling of E47 targets in the neuroblastoma cell line SK-N-SH at 8 hours and 20 hours
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133B Array (hgu133b), Affymetrix Human Genome U133A Array (hgu133a)

Description

E47 is a basic Helix Loop Helix (bHLH) transcription factor that has important roles in cell fate determination and differentiation of many cell types. In the nervous system E47 heterodimerizes with tissue-specific, pro-neural bHLH transcription factors and activates downstream target genes. To identify the relevant target genes of bHLH transcription factors in neural cells, we performed gene expression profiling of the human neuroblastoma cell line SK-N-SH engineered to acutely express ectopic E47 by an adenoviral vector. The experiments were done at two time points following adenoviral infection, 8 hours and 20 hours. Genes induced by E47 after 8 hours are likely to be direct targets of this transcription factor.

Publication Title

Degradation of Id2 by the anaphase-promoting complex couples cell cycle exit and axonal growth.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon GSE20281
The transcriptional network for mesenchymal transformation of brain tumours
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 108 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The transcriptional network for mesenchymal transformation of brain tumours.

Sample Metadata Fields

Time

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accession-icon GSE19114
A transcriptional module initiates and maintains mesenchymal transformation in brain tumors [human data]
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Using a novel combination of cellular-network reverse-engineering algorithms and experimental validation assays, we identified a transcriptional module, including six transcription factors that synergistically regulates the mesenchymal signature of malignant glioma. This is a poorly understood molecular phenotype, never observed in normal neural tissue. It represents the hallmark of tumor aggressiveness in high-grade glioma, and its upstream regulation is so far unknown. Overall, the newly discovered transcriptional module regulates >74% of the signature genes, while two of its transcription factors (C/EBP and Stat3) display features of initiators and master regulators of mesenchymal transformation. Ectopic co-expression of C/EBP and Stat3 is sufficient to reprogram neural stem cells along the aberrant mesenchymal lineage, while simultaneously suppressing differentiation along the default neural lineages (neuronal and glial). Conversely, silencing the two transcription factors in human glioma cell lines and glioblastoma-derived tumor initiating cells leads to collapse of the mesenchymal signature with corresponding loss of tumor aggressiveness in vitro and in immunodeficient mice after intracranial injection. In human tumor samples, combined expression of C/EBP and Stat3 correlates with mesenchymal differentiation of primary glioma and is a predictor of poor clinical outcome. Taken together, these results reveal that activation of a small regulatory module inferred from the accurate reconstruction of transcriptional networks is necessary and sufficient to initiate and maintain an aberrant phenotypic state in eukaryotic cells.

Publication Title

The transcriptional network for mesenchymal transformation of brain tumours.

Sample Metadata Fields

Time

View Samples
accession-icon GSE19113
A transcriptional module initiates and maintains mesenchymal transformation in brain tumors [mouse data]
  • organism-icon Mus musculus
  • sample-icon 34 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Using a novel combination of cellular-network reverse-engineering algorithms and experimental validation assays, we identified a transcriptional module, including six transcription factors that synergistically regulates the mesenchymal signature of malignant glioma. This is a poorly understood molecular phenotype, never observed in normal neural tissue. It represents the hallmark of tumor aggressiveness in high-grade glioma, and its upstream regulation is so far unknown. Overall, the newly discovered transcriptional module regulates >74% of the signature genes, while two of its transcription factors (C/EBP and Stat3) display features of initiators and master regulators of mesenchymal transformation. Ectopic co-expression of C/EBP and Stat3 is sufficient to reprogram neural stem cells along the aberrant mesenchymal lineage, while simultaneously suppressing differentiation along the default neural lineages (neuronal and glial). Conversely, silencing the two transcription factors in human glioma cell lines and glioblastoma-derived tumor initiating cells leads to collapse of the mesenchymal signature with corresponding loss of tumor aggressiveness in vitro and in immunodeficient mice after intracranial injection. In human tumor samples, combined expression of C/EBP and Stat3 correlates with mesenchymal differentiation of primary glioma and is a predictor of poor clinical outcome. Taken together, these results reveal that activation of a small regulatory module, inferred from the accurate reconstruction of transcriptional networks, is necessary and sufficient to initiate and maintain an aberrant phenotypic state in eukaryotic cells.

Publication Title

The transcriptional network for mesenchymal transformation of brain tumours.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE97350
ZBTB18 is a repressor of mesenchymal genes in Glioblastoma
  • 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

Epigenetic Regulation of ZBTB18 Promotes Glioblastoma Progression.

Sample Metadata Fields

Cell line

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accession-icon GSE97349
ZBTB18 is a repressor of mesenchymal genes in Glioblastoma [JX6]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The transcriptional repressor ZBTB18 was overexpressed in the brain tumor xenoline JX6 by lentiviral transduction. Three independent transduction were performed (biological replicates) and analyzed by gene expression aray. Gene set enrichemnt analysis (GSEA) showed changes in the expression of mesenchymal signature. A subset of genes was further valiadted by qPCR. These results indicate a role of ZBTB18 as repressor of mesenchymal genes in Glioblastoma.

Publication Title

Epigenetic Regulation of ZBTB18 Promotes Glioblastoma Progression.

Sample Metadata Fields

Cell line

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accession-icon GSE97347
ZBTB18 is a repressor of mesenchymal genes in Glioblastoma [BTSC233]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The transcriptional repressor ZBTB18 was overexpressed in the brain tumor stem cell-like BTSC233 by lentiviral transduction. Three independent transduction were performed (biological replicates) and analyzed by gene expression aray. Gene set enrichemnt analysis (GSEA) showed changes in the expression of mesenchymal signature. A subset of genes was further valiadted by qPCR. These results indicate a role of ZBTB18 as repressor of mesenchymal genes in Glioblastoma.

Publication Title

Epigenetic Regulation of ZBTB18 Promotes Glioblastoma Progression.

Sample Metadata Fields

Cell line

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accession-icon GSE81145
The Somatic Landscape of Schwannoma
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

To identify the role of the SH3PXD2A-HTRA1 fusion on gene expression in Schwann cells

Publication Title

The genomic landscape of schwannoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE85047
Gene expression data from primary neuroblastoma tumors
  • organism-icon Homo sapiens
  • sample-icon 283 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This dataset contains gene expression data from the NRC series (Neuroblastoma Research Consortium) for a total of 283 primary neuroblastoma tumors. All tumor samples are fully annotated including patient age at diagnosis, overall and progresison free survival and MYCN amplification status, enabling subgroup analysis, survival analysis and gene expression network analysis.

Publication Title

Cross-Cohort Analysis Identifies a TEAD4-MYCN Positive Feedback Loop as the Core Regulatory Element of High-Risk Neuroblastoma.

Sample Metadata Fields

No sample metadata fields

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)

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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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