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accession-icon GSE78753
A Preclinical Model for ER-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response
  • organism-icon Homo sapiens
  • sample-icon 16 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

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE74608
A Preclinical Model for ER-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response [BT20 & HCC1806]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A high percentage of potential oncology drugs fail in clinical trials, partly because preclinical models used to test them are inadequate. Breast cancer is the leading cause of cancer-related death among women worldwide but we lack appropriate in vivo models for the ER+ subtypes, which represent more than 75% of all cases. We address these issues by xenografting tumor cells to their site of origin, the milk ducts. All ER+ cell lines and patient-derived xenografts grow mimicking their clinical counterparts. Disease progresses with invasion and metastasis, which become amenable to study. The action of hormones, important in breast carcinogenesis, can now be studied in a relevant context. Importantly, these open opportunities for development and evaluation of therapies.

Publication Title

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE68694
A Preclinical Model for ER-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response [MCF7]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A high percentage of potential oncology drugs fail in clinical trials, partly because preclinical models used to test them are inadequate. Breast cancer is the leading cause of cancer-related death among women worldwide but we lack appropriate in vivo models for the ER+ subtypes, which represent more than 75% of all cases. We address these issues by xenografting tumor cells to their site of origin, the milk ducts. All ER+ cell lines and patient-derived xenografts grow mimicking their clinical counterparts. Disease progresses with invasion and metastasis, which become amenable to study. The action of hormones, important in breast carcinogenesis, can now be studied in a relevant context. Importantly, these open opportunities for development and evaluation of therapies.

Publication Title

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE52168
Liver transcriptional profile of wild-type and IL-10 knockout mice with colitis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The goal of the experiment was to compare the liver transcriptional profile of wild-type and IL-10 knockout mice with colitis. Colitis was induced in 6 week old female wild-type and IL-10-deficient C57BL/6 mice by administration of 3% dextran sulfate sodium (DSS) in the drinking water for 7 days.

Publication Title

Intestinal inflammation modulates expression of the iron-regulating hormone hepcidin depending on erythropoietic activity and the commensal microbiota.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE4737
HCaRG vs NEO
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Summary:

Publication Title

HCaRG increases renal cell migration by a TGF-alpha autocrine loop mechanism.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE2555
HCaRG-9 vs NEO-1
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

HEK293 cells were transfected with control plasmid (pcDNAI/Neo;Invitrogen) or with the plasmid encoding HCaRG. Stable transfectants were synchronized and grown in the presence of 10% FBS for 48 h. Total RNAs were purified with the mini RNeasy kit (Qiagen).

Publication Title

HCaRG increases renal cell migration by a TGF-alpha autocrine loop mechanism.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE74659
SCL and LMO1 reprogram thymocytes into self-renewing cells.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The SCL and LMO1 oncogenic transcription factors reprogram thymocytes into self-renewing pre-leukemic stem cells (pre-LSCs). Here we report that SCL directly interacts with LMO1 to activate the transcription of a self-renewal program coordinated by LYL1.

Publication Title

SCL, LMO1 and Notch1 reprogram thymocytes into self-renewing cells.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE71663
Profiling of Brat associated mRNAs from Drosophila embryos by RIP-CHIP
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Drosophila Gene 1.1 ST Array (drogene11st)

Description

The Drosophila TRIM-NHL protein Brain tumor (Brat) plays important roles during early embryogenesis, in cell fate decisions, during neurogenesis and in mature neurons. Brat is an RNA-binding protein and functions as translational repressor. However, which RNAs Brat regulates and how RNA-binding specificity is achieved, is unknown. Using RNA-Immunoprecipitation we identify Brat-bound mRNAs in Drosophila embryos and define a consensus binding motif.

Publication Title

The Crystal Structure of the NHL Domain in Complex with RNA Reveals the Molecular Basis of Drosophila Brain-Tumor-Mediated Gene Regulation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP074247
Global Profiling of the Cellular Alternative RNA Splicing Landscape During Virus-host Interactions
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Background Alternative splicing (AS) is a central mechanism of genetic regulation which modifies the sequence of RNA transcripts in higher eukaryotes. AS has been shown to increase both the variability and diversity of the cellular proteome by changing the composition of resulting proteins through differential choice of exons to be included in mature mRNAs. Results In the present study, alterations to the global RNA splicing landscape of cellular genes upon viral infection were investigated through high-throughput RNA sequencing (RNA-seq) studies using mammalian reovirus as a model. Our study provides the first comprehensive portrait of global changes in the RNA splicing signatures that occur in eukaryotic cells following infection with a human virus. We identify modifications in the AS patterns of 240 cellular transcripts frequently involved in the regulation of gene expression and RNA metabolism. A significant number of the modified transcripts are also encoded by genes with important roles in viral infection/immunity. These modifications are expected to alter the functions of many cellular proteins. Finally, we used RT-PCR analysis in order to experimentally validate differential modifications in alternative splicing patterns that were observed through RNA-seq studies. Conclusion The present study demonstrated that viral infection can extensively modify the splicing patterns of numerous cellular transcripts. These findings provide additional insights into the complexity of virus-host interactions as these splice variants expand proteome diversity and function during viral infection. Finally, these data open new avenues of research for a better understanding of post-transcriptional events during virus infection and possible new targets toward the development of antiviral agents. Overall design: mRNAs were isolated from L929 mouse cell line, 14 hours after infection with T3D-S Reovirus or T3D-S Mutant reovirus at a MOI of 50. Control cells were uninfected. The resulting libraries were multiplexed and paired-end sequenced using Illumina HiSeq. Gene expression and alternative splicing were caracterized using Bowtie and RSEM.

Publication Title

Global Profiling of the Cellular Alternative RNA Splicing Landscape during Virus-Host Interactions.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE16853
Expression data from Foxl2 wild-type and mutant ovaries and testes
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Foxl2 is a forkhead transcription factor expressed only in the female, but not in the male gonad. We have created mice homozygous mutant for the Foxl2 gene (KO) as well as mice carrying a conditional mutant Foxl2 allele (floxed).

Publication Title

Somatic sex reprogramming of adult ovaries to testes by FOXL2 ablation.

Sample Metadata Fields

Specimen part

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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