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accession-icon GSE72204
Preferential Iron Trafficking Characterizes Glioblastoma Stem-like Cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Preferential Iron Trafficking Characterizes Glioblastoma Stem-like Cells.

Sample Metadata Fields

Cell line

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accession-icon GSE72203
Gene Expression by array after Ferritin Knockdown in Preferential Iron Trafficking Characterizes Glioblastoma Stem-like Cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st), Illumina HiSeq 2500

Description

Glioblastomas display hierarchies with self-renewing cancer stem-like cells (CSCs). RNA sequencing and enhancer mapping revealed regulatory programs unique to CSCs causing upregulation of the iron transporter transferrin, the top differentially expressed gene compared to tissue-specific progenitors. Direct interrogation of iron uptake demonstrated CSCs potently extract iron from the microenvironment more effectively than other tumor cells. Systematic interrogation of iron flux determined that CSCs preferentially require transferrin receptor and ferritin - two core iron regulators - to propagate and form tumors in vivo. Depleting ferritin disrupted CSC mitotic progression, through the STAT3-FoxM1 regulatory axis, revealing an iron-regulated CSC pathway. Iron is a unique, primordial metal fundamental for earliest life forms, and on which CSCs have an epigenetically programmed, targetable dependence.

Publication Title

Preferential Iron Trafficking Characterizes Glioblastoma Stem-like Cells.

Sample Metadata Fields

Cell line

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accession-icon SRP062617
RNA-seq Profiles in Preferential Iron Trafficking Characterizes Glioblastoma Stem-like Cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Glioblastomas display hierarchies with self-renewing cancer stem-like cells (CSCs). RNA sequencing and enhancer mapping revealed regulatory programs unique to CSCs causing upregulation of the iron transporter transferrin, the top differentially expressed gene compared to tissue-specific progenitors. Direct interrogation of iron uptake demonstrated CSCs potently extract iron from the microenvironment more effectively than other tumor cells. Systematic interrogation of iron flux determined that CSCs preferentially require transferrin receptor and ferritin - two core iron regulators - to propagate and form tumors in vivo. Depleting ferritin disrupted CSC mitotic progression, through the STAT3-FoxM1 regulatory axis, revealing an iron-regulated CSC pathway. Iron is a unique, primordial metal fundamental for earliest life forms, and on which CSCs have an epigenetically programmed, targetable dependence. Overall design: RNA-seq of primary patient-derived GBM cancer stem cells and normal human neural progenitor cells

Publication Title

Preferential Iron Trafficking Characterizes Glioblastoma Stem-like Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP065539
RNA-seq Profiles in Transcription elongation factors are in vivo-specific cancer dependencies in glioma
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Glioblastoma ranks as one of the most lethal human cancers, with no effective therapies. To discover novel therapeutic targets, here we performed parallel in vivo and in vitro RNA interference screens of epigenetic regulators and show that transcription elongation factors are essential for human glioblastoma cell survival in vivo, but not in vitro. Context-specific dependency in vivo is driven by microenvironment-induced global changes in the cancer epigenome. JMJD6, a top in vivo-specific hit, binds at enhancers and correlates with increased transcription of known pause-controlled genes. JMJD6 knockdown in patient-derived glioblastoma cells enhances survival of mice bearing orthotopic tumors. Moreover, elevated levels of JMJD6 alone, as well as transcription elongation factors collectively, informs tumor grade and predicts poor prognosis for patients. Our work provides a rationale for targeting transcription elongation as a therapeutic strategy in glioblastoma and, more broadly, the power of in vivo phenotypic screening to identify therapeutically relevant targets in cancer. Overall design: RNA-seq of primary patient-derived GBM cells grown in in vivo tumor microenvironment or in vitro in serum free cell culture

Publication Title

Transcription elongation factors represent in vivo cancer dependencies in glioblastoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13603
Dorsal Ventral Pancreatic Bud Comparison
  • organism-icon Xenopus laevis
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome Array (xenopuslaevis)

Description

During embryogenesis, the pancreas develops from separate dorsal and ventral buds, which fuse to form the mature pancreas. Little is known about the functional differences between these two buds or the relative contribution of cells derived from each portion to the pancreas after fusion. To follow the fate of dorsal or ventral bud derived cells in the pancreas after fusion, we produced chimeric Elas-GFP transgenic/wild type embryos in which either dorsal or ventral pancreatic bud cells expressed GFP. We found that ventral pancreatic cells migrate extensively into the dorsal pancreas after fusion, whereas the converse does not occur. Moreover, we found that annular pancreatic tissue is composed exclusively of ventral pancreas derived cells. To identify ventral pancreas specific genes that may play a role in pancreatic bud fusion, we isolated individual dorsal and ventral pancreatic buds, prior to fusion, from stage 38/39 Xenopus laevis tadpoles and compared their gene expression profiles. Morpholino-mediated knockdown of one of these ventral specific genes, transmembrane 4 superfamily member 3 (tm4sf3), inhibited dorsal-ventral pancreatic bud fusion as well as acinar cell differentiation. Conversely, overexpression of tm4sf3 promoted the development of annular pancreas. Our results are the first to define molecular and behavioral differences between the dorsal and ventral pancreas, and suggest an unexpected role for the ventral pancreas in pancreatic bud fusion.

Publication Title

The tetraspanin Tm4sf3 is localized to the ventral pancreas and regulates fusion of the dorsal and ventral pancreatic buds.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE29017
Expression data from Xenopus endoderm at stage 15 following four hours of Ngn3-GR overexpression
  • organism-icon Xenopus laevis
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2)

Description

Ngn3 is a master regulator of pancreatic endocrine development. It is necessary for the creation of all endocrine cells in mice. Little is known about the genes that act downstream of the transcription factor Ngn3 in pancreas endocrine development to specify each of the endocrine lineages. As a consequence, little is known about the genes involved in early development and the specification of the beta cell. We used microarrays to identify Ngn3 downstream genes that are involved in early and ectopic beta cell development in Xenopus laevis. We overexpressed Ngn3 in the Xenopus early endoderm and analyzed the genes that are upregulated four hours after.

Publication Title

Transient expression of Ngn3 in Xenopus endoderm promotes early and ectopic development of pancreatic beta and delta cells.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE23642
Expression data from Xenopus anterior gut RFX6 knockdown
  • organism-icon Xenopus laevis
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2)

Description

Recently a new neonatal diabetes syndrome, Mitchell-Riley syndrome, was discovered. To identify the genetic cause of the syndrome homozygosity mapping was used, several chromosomal regions were linked to Mitchell-Riley syndrome. In situ hybridization of genes from one such region using model organism Xenopus laevis identified RFX6 as a potential candidate gene; mutant forms of RFX6 were subsequently found in Mitchell-Riley patients. Analysis of the expression pattern of RFX6 in Xenopus development shows it is expressed broadly in the endoderm early in development, and later RFX6 becomes restricted to the endocrine cells of the gut and pancreas. Morpholino knockdown of RFX6 in Xenopus caused a loss of pancreas marker gene expression. Injection of exogenous wild type RFX6 rescued the morpholino phenotype in Xenopus tadpoles. Attempts to rescue the loss-of-function phenotype using mutant forms of RFX6 found in Mitchell-Riley patients were unsuccessful suggesting the changes lead to loss-of-function and could be the cause of Mitchell-Riley syndrome. Microarray analysis of gene expression in knockdown tissue suggested a downregulation in marker genes for lung, stomach and heart, ambiguous results for the liver, and an upregulation in kidney marker gene expression. RT-PCR and in situ hybridization confirms a loss of lung, stomach and heart gene expression, no change in liver marker hex and an upregulation in kidney marker KcnJ1. The fact that the morpholino phenotype affects multiple organs suggests that RFX6 has a broad role early in endoderm development.

Publication Title

Functional analysis of Rfx6 and mutant variants associated with neonatal diabetes.

Sample Metadata Fields

Specimen part, Treatment

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

View Samples
accession-icon GSE27569
Expression data from zebrafish depleted of Esco2
  • organism-icon Danio rerio
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Our study in zebrafish is the first to use an animal model to understand the biology of the developmental disorder Roberts Syndrome (RBS). RBS is caused by mutations in the ESCO2 gene.

Publication Title

A zebrafish model of Roberts syndrome reveals that Esco2 depletion interferes with development by disrupting the cell cycle.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE10070
Gene Expression in MCF10A cells through Differentiation on Transwells
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To further understand the differences occurring in MCF10A cells as they polarize and differentiate in the Transwell model, we performed gene expression profiling with Affymetrix Human Genome U133 Plus 2.0 Arrays. Four experimental time points, were sampled: conventional cultures of MCF10A cells grown on plastic (Monolayer) and MCF10A cells plated on Transwells sampled at three TEER values, 200-300 cm2 (Base), 1400-1600 cm2 (Midpoint), and 3000-3200 cm2 (Plateau).

Publication Title

In vitro multipotent differentiation and barrier function of a human mammary epithelium.

Sample Metadata Fields

No sample metadata fields

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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