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accession-icon GSE50822
Differential neuronal targeting of a new and 2 known calcium channel 4 subunit splice variants correlates with their regulation of gene expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The subunits of voltage-gated calcium channels regulate surface expression and gating of CaV1 and CaV2 1 subunits, and thus contribute to neuronal excitability, neurotransmitter release and calcium-induced gene regulation. In addition certain subunits are targeted into the nucleus, where they directly interact with the epigenetic machinery. Whereas their involvement in this multitude of functions is reflected by a great molecular heterogeneity of isoforms derived from four genes and abundant alternative splicing, little is known about the roles of individual variants in specific neuronal functions. In the present study, an alternatively spliced 4 subunit lacking the variable N-terminus (4e) is identified. It is highly expressed in mouse cerebellum and cultured cerebellar granule cells (CGC) and modulates P/Q-type calcium currents in tsA cells and CaV2.1 surface expression in neurons. Compared to the other two known full-length 4 variants (4a, 4b) 4e is most abundantly expressed in the distal axon, but lacks nuclear targeting properties. To examine the importance of nuclear targeting of 4 subunits for transcriptional regulation, we performed whole genome expression profiling of CGCs from lethargic mice individually reconstituted with 4a, 4b, and 4e. Notably, the number of genes regulated by each 4 splice variant correlated with the rank order of their nuclear targeting properties (4b> 4a> 4e). Together these findings support isoform-specific functions of 4 splice variant in neurons, with 4b playing a dual role in channel modulation and gene regulation, while the newly detected 4e variant serves exclusively in calcium channel-dependent functions.

Publication Title

Differential neuronal targeting of a new and two known calcium channel β4 subunit splice variants correlates with their regulation of gene expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE48921
Gene expression and copy number analysis of OVCAR-3 and CDK2 resistant sublines
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Resistance to CDK2 inhibitors is associated with selection of polyploid cells in CCNE1-amplified ovarian cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE48919
Gene expression analysis of OVCAR-3 and CDK2 resistant sublines
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Cyclin E1 (CCNE1) is amplified in various tumor types including high-grade serous ovarian cancer where it is associated with poor clinical outcome. We have demonstrate that suppression of the Cyclin E1 partner kinase, CDK2, induces apoptosis in a CCNE1 amplicon-dependent manner. Little is known of mechanisms of resistance to CDK inhibitors. We therefore generated OVCAR-3 sublines with reduced sensitivity to CDK2 inhibitors and profiled by gene expression microarrays.

Publication Title

Resistance to CDK2 inhibitors is associated with selection of polyploid cells in CCNE1-amplified ovarian cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE9899
Expression profile of ovarian tumour samples
  • organism-icon Homo sapiens
  • sample-icon 292 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9891
Expression profile of 285 ovarian tumour samples
  • organism-icon Homo sapiens
  • sample-icon 282 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour

Publication Title

Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9890
Expression profile of 5 ovarian tumour samples (two different cell types from each sample profiles)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to profile the expression levels of 5 tumour samples

Publication Title

Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38734
Expression data from primary ovarian samples and matched abdominal deposits
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used unsupervised hierarchical clustering to analyse expression in primary ovarian tumors and associated abdominal deposits. GeneGo pathway analysis of differentially expressed genes between primary tumors and deposits revealed 4 of the top 10 pathways related to cytoskeleton remodeling and cell adhesion.

Publication Title

LRP1B deletion in high-grade serous ovarian cancers is associated with acquired chemotherapy resistance to liposomal doxorubicin.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE57280
Genomic analysis of low-grade serous ovarian carcinomas
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic classification of serous ovarian cancer with adjacent borderline differentiates RAS pathway and TP53-mutant tumors and identifies NRAS as an oncogenic driver.

Sample Metadata Fields

Disease, Disease stage, Subject

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accession-icon GSE56443
Genomic analysis of low-grade serous ovarian carcinomas [EXP]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted. We sought to identify differentially expressed genes between co-existing borderline and invasive components of serous carcinoma.

Publication Title

Genomic classification of serous ovarian cancer with adjacent borderline differentiates RAS pathway and TP53-mutant tumors and identifies NRAS as an oncogenic driver.

Sample Metadata Fields

Disease, Disease stage, Subject

View Samples
accession-icon GSE63665
Expression data from Burkitt Lymphoma cell lines followed by expression or inhibition of ebv-BART6-3p microRNA
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Epstein-Barr virus is associated with several human malignancies, including Burkitt Lymnphoma. The virus encodes more than 40 microRNAs, which participate in its possible pathogenetic role.

Publication Title

Molecular signature of Epstein Barr virus-positive Burkitt lymphoma and post-transplant lymphoproliferative disorder suggest different roles for Epstein Barr virus.

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)

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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