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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

View Samples
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 SRP058454
Runx1- responsive genes in mdx muscles
  • organism-icon Mus musculus
  • sample-icon 47 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

RNA-seq was performed to compare expression pattern of musles taken form two mice strains- mdx and mdx/Runx1f/f, which are double KO carrting a muscle specific ablation of Runx1 using a Myf5-Cre. This comparison revealed the Runx1- responsive gene set in mdx muscles. we could cross this data with prior retrived datd from privous experiments found in this GEO quary, to pinpiont Runx1 target genes in muscle rgeneration Overall design: RNA was extracted form soleus muscles of 2 months old mice, n=3,4 for mdx and mdx/Runx1f/f, respectively . Differentially expressed genes were discovered using the DeSeq2 software

Publication Title

Genomic-wide transcriptional profiling in primary myoblasts reveals Runx1-regulated genes in muscle regeneration.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE56131
Transcription factor Runx1 cooperates with MyoD and c-Jun to regulate the balance of myoblast proliferation/differentiation
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic-wide transcriptional profiling in primary myoblasts reveals Runx1-regulated genes in muscle regeneration.

Sample Metadata Fields

Specimen part

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accession-icon GSE30539
Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE67351
Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells
  • organism-icon Homo sapiens
  • sample-icon 17 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

Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE72533
Reconstructing gene regulatory networks of tumorigenesis
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mapping 250K Nsp SNP Array (mapping250knsp), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reconstruction of gene regulatory networks reveals chromatin remodelers and key transcription factors in tumorigenesis.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE30537
Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics [mRNA profiling]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Retinoic acid (RA) triggers physiological processes by activating heterodimeric transcription factors comprising retinoic acid (RARa,b,g) and retinoid X (RXRa,b,g) receptors. How a single signal induces highly complex temporally controlled networks that ultimately orchestrate physiological processes is unclear. Using an RA-inducible differentiation model we defined the temporal changes in the genome-wide binding patterns of RARg and RXRa and correlated them with transcription regulation. Unexpectedly, both receptors displayed a highly dynamic binding, with different RXRa heterodimers targeting identical loci. Comparison of RARg and RXRa co-binding at RA-regulated genes identified putative RXRa-RARg target genes that were validated with subtype-selective agonists. Gene regulatory decisions during differentiation were inferred from transcription factor target gene information and temporal gene expression. This analysis revealed 6 distinct co-expression paths of which RXRa-RARg is associated with transcription activation, while Sox2 and Egr1 were predicted to regulate repression. Finally, RXRa-RARg regulatory networks were reconstructed through integration of functional co-citations. Our analysis provides a dynamic view of RA signalling during cell differentiation, reveals RA heterodimer dynamics and promiscuity, and predicts decisions that diversify the RA signal into distinct gene-regulatory programs.

Publication Title

Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon SRP049479
Human cells contain natural double-stranded RNAs with potential regulatory capacity
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Although recent evidence suggests that overlapping sense/antisense transcription is a common feature in higher eukaryotes, the possibility that overlapping transcripts could interact to each other and bear a specific biological function has not been explored. Here we show that a plethora of sense/antisense transcript pairs are co-expressed from 8q24.21 within the same cell and acquire a stable double-stranded RNA conformation. Interestingly, these molecules display predominantly nuclear localization and establish specific interactions with nuclear components. A detailed characterization of a particular sense/antisense pair (ndsRNA-2a) revealed that this molecule displays differential localization throughout the cell cycle, interacts with RCC1 and RAN and through the latter with the mitotic RANGAP1-SUMO1/RANBP2 complex. Notably, an increased number of bi/multi-nucleated cells and chromatin bridges were observed upon ndsRNA-2a overexpression, whereas strand-specific ndsRNA-2a knockdown leads to mitotic catastrophe and cell death. This suggests a functional role of ndsRNA-2a in cell cycle progression that critically requires its double stranded nature. Finally, the identification of hundreds of sense/antisense transcripts pairs harboring ndsRNA profile signatures and their regulation by cellular cues suggests that ndsRNAs constitute a novel class of regulatory molecules that are likely to be involved in a plethora of biological processes. Overall design: PLB985 long (3x datasets) and small (3x datasets) strand specific RNA-Seq for captured RNAs. Global PLB985 for long (2x datasets) and small RNAs (2x datasets). Global libraries for EtOH (vehicle) treated (1x dataset) or retinoic acid induced differentiated PLB985 cells (1x dataset).

Publication Title

Human cells contain natural double-stranded RNAs with potential regulatory functions.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE39186
Effect of TET1 and TET3 overexpression on the transcriptome of HEK293 cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We compared TET1 and TET3 overexpressing cells to uninduced cells with endogenous levels of the respective transcript to determine global gene expression changes.

Publication Title

Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.

Sample Metadata Fields

Specimen part, Treatment

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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