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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

View Samples
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 GSE15583
Neuroblastoma cell lines under normoxic and hypoxic conditions
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hypoxia is a low oxygen condition that occurs in the developing tumor mass and that is associated with poor prognosis and resistance to chemo- and radio-therapy. The definition of the hypoxia gene signature is fundamental for the understanding of tumor biology, as in the case of neuroblastoma, the most common pediatric solid tumor. The issue of identifying a significant group of variables in microarray gene expression experiments is particularly difficult due to the typical high dimensional nature of the data and great effort has been spent in the development of feature selection techniques.

Publication Title

The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE28621
Transcriptional profiles of macrophages in resolving inflammation
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We have performed a comprehensive transcriptional analysis of specific monocyte and macrophage (M) subsets during an acute self-resolving inflammatory insult. Following initial induction of acute inflammation, tissue resident (Resident) M are rapidly cleared from the inflammatory foci, only becoming recoverable as inflammation resolves. Monocytes are recruited to the inflammatory lesion where they differentiate into M. We term these monocyte-derived M inflammation-associated to distinguish them from Resident M which are present throughout the inflammatory response and can renew during the resolution of inflammation by proliferation. Comparative analysis of the Mo and M populations (both inflammation-associated and Resident M) identifies select genes expressed in subsets of inflammation-associated and Resident M that play important roles in the resolution of inflammation and/or for immunity, including molecules involved in antigen presentation, cell cycle and others associated with immaturity and M activation.

Publication Title

The transcription factor Gata6 links tissue macrophage phenotype and proliferative renewal.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE35525
Pivotal role of HMGA1 gene signature in highly metastatic breast cancer
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of MDA-MB-231 breast cancer cells depleted for High Mobility Group A1 (HMGA1) using siRNA. HMGA1 is involved in invasion and metastasis in breast cancer cells. Results identify the specific transcriptional program induced by HMGA1 in highly metastatic breast cancer cells.

Publication Title

HMGA1 promotes metastatic processes in basal-like breast cancer regulating EMT and stemness.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE47049
Expression data from wild type and Gata6-deficient tissue resident peritoneal macrophages
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Tissue resident macrophages are notoriously heterogeneous, exhibiting discrete phenotypes as a consequence of tissue- and micro-anatomical niche-specific functions, but the molecular basis for this is not understood. We resolved a restricted transcriptional profile for the self-renewing population of peritoneal resident macrophages, which is expressed during homeostasis and inflammation and distinct from other M. Prominent within this profile was the expression of Gata6. This study represents a characterisation of the role of Gata6 in peritoneal resident macrophage phenotype. We used microarrays to determine the patterns of gene expression in peritoneal resident M in the absence of GATA-6 against wild type.

Publication Title

The transcription factor Gata6 links tissue macrophage phenotype and proliferative renewal.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE119662
Genetic modifier of TGF-beta1 stimulated pulmonayr fibrosis
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Expression profiling of pulmonayr fibrosis prone and fibrosis resistant strains of mice with transgenic overexpression of TGF-beta1

Publication Title

Laminin α1 is a genetic modifier of TGF-β1-stimulated pulmonary fibrosis.

Sample Metadata Fields

Treatment

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accession-icon GSE24250
The transcriptional modulator H2AFY marks Huntington's disease activity in men and mice
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To accelerate the development of disease-modifying therapeutics for Huntingtons disease (HD), a dynamic biomarker of disease activity and treatment response is critically needed.

Publication Title

Transcriptional modulator H2A histone family, member Y (H2AFY) marks Huntington disease activity in man and mouse.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE17714
11 Neuroblastoma cell lines under normoxic and hypoxic conditions
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hypoxia is a low oxygen condition that occurs in the developing tumor mass and that is associated with poor prognosis and resistance to chemo- and radio-therapy. The definition of the hypoxia gene signature is fundamental for the understanding of tumor biology, as in the case of neuroblastoma, the most common pediatric solid tumor. The issue of identifying a significant group of variables in microarray gene expression experiments is particularly difficult due to the typical high dimensional nature of the data and great effort has been spent in the development of feature selection techniques.

Publication Title

A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients.

Sample Metadata Fields

Cell line

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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