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accession-icon GSE54892
LRH-1 governs vital transcriptional programs in endocrine sensitive and resistant breast cancer cells
  • 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

LRH-1 governs vital transcriptional programs in endocrine-sensitive and -resistant breast cancer cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE54891
LRH-1 governs vital transcriptional programs in endocrine sensitive and resistant breast cancer cells: Expression profiling
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Tumor characteristics are decisive in the determination of treatment strategy for breast cancer patients. Patients with estrogen receptor- (ER) positive breast cancer can benefit from long-term hormonal treatment. Nonetheless, the majority of patients will develop resistance to these therapies. Here, we investigated the role of the liver receptor homolog-1 (LRH-1, NR5A2) in anti-estrogen (AE) sensitive and resistant breast cancer cells. We identified genome-wide LRH-1 binding sites using ChIP-seq, uncovering preferential binding to regions distal to transcriptional start sites (TSS). We further characterized these LRH-1 binding sites by integrating overlapping layers of specific chromatin marks, revealing that many LRH-1 binding sites are active and could be involved in long-range enhancer-promoter looping. Combined with transcriptome analysis of LRH-1 depleted cells, these results show that LRH-1 regulates specific subsets of genes involved in cell proliferation in AE-sensitive and AE-resistant breast cancer cells. Furthermore, the LRH-1 transcriptional program is highly associated with signature of poor outcome breast cancer tumors in vivo. Herein report the genome-wide location and molecular function of LRH-1 in breast cancer cells and reveal its therapeutic potential for the treatment of breast cancers, notably for tumors resistant to treatments currently used in therapies.

Publication Title

LRH-1 governs vital transcriptional programs in endocrine-sensitive and -resistant breast cancer cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE2531
JEG3 vs BeWo
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In this experiment we compared total RNA from two commonly used choriocarcinoma cell lines, JEG3 and BeWo, to identify differentially expressed transcripts.

Publication Title

Microarray analysis of BeWo and JEG3 trophoblast cell lines: identification of differentially expressed transcripts.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE41509
Yap role in intestine
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 18 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

Restriction of intestinal stem cell expansion and the regenerative response by YAP.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE41507
RSpondin1 treatment of control and Yap cKO mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

RSpondin1 adenovirus was administered to mice and intestine was isolated for expression analysis 1 week later.

Publication Title

Restriction of intestinal stem cell expansion and the regenerative response by YAP.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP094752
Genome-wide expression profiling of uhrf1 mutant zebrafish
  • organism-icon Danio rerio
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The goal of this study is to compare gene expression levels in uhrf1 mutants with global DNA hypomethylation to WT siblings Overall design: 10 whole embryos were pooled per sample of either 5 dpf old uhrf1 mutants or phenotypically WT siblings and RNA was extracted. Libraries were prepared according to Illumina Truseq RNA sample prep kit, version 2, followed by Ribo-Zero Gold treatment

Publication Title

Loss of DNA methylation in zebrafish embryos activates retrotransposons to trigger antiviral signaling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6908
Transcript Profiling of the Aerobic and Anoxic Rice Coleoptile
  • organism-icon Oryza sativa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice (Oryza sativa L.) seeds can germinate in complete absence of oxygen. Under anoxia, the rice coleoptile elongates, reaching a length greater than that of the aerobic one. In this series, we compare the transcriptome of rice coleoptiles grown under aerobic and anaerobic conditions.

Publication Title

Transcript profiling of the anoxic rice coleoptile.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE53514
Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

CD4(+) type 1 T regulatory (Tr1) cells are induced in the periphery and have a pivotal role in promoting and maintaining tolerance. The absence of surface markers that uniquely identify Tr1 cells has limited their study and clinical applications. By gene expression profiling of human Tr1 cell clones, we identified the surface markers CD49b and lymphocyte activation gene 3 (LAG-3) as being stably and selectively coexpressed on mouse and human Tr1 cells. We showed the specificity of these markers in mouse models of intestinal inflammation and helminth infection and in the peripheral blood of healthy volunteers. The coexpression of CD49b and LAG-3 enables the isolation of highly suppressive human Tr1 cells from in vitro anergized cultures and allows the tracking of Tr1 cells in the peripheral blood of subjects who developed tolerance after allogeneic hematopoietic stem cell transplantation. The use of these markers makes it feasible to track Tr1 cells in vivo and purify Tr1 cells for cell therapy to induce or restore tolerance in subjects with immune-mediated diseases.

Publication Title

Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon SRP126336
Fasting Imparts a Switch to Alternative Circadian Transcriptional Pathways in Liver and Muscle
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The circadian gene expression in peripheral tissue displays rhythmicity which is driven by the circadian clock and feeding-fasting cycle in mammals. In this study, circadian transcriptome was performed to investigate how fasting influences circadian gene regulation. Overall design: 8-week-old, male C57BL/6 mice were subjected to 24-hr fasting (FAST) or to ad libitum normal chow feeding (FED) under 12hr light/ 12hr dark schedule. Liver and gastrocnemius muscle were harvested every 4 hours over the circadian cycle at ZT0, 4, 8, 12, 16, 20 (n=3 per time point per group). Total RNA was extracted from liver and gastrocnemius muscle, and used for RNA-seq.

Publication Title

Fasting Imparts a Switch to Alternative Daily Pathways in Liver and Muscle.

Sample Metadata Fields

Age, Cell line, Subject

View Samples
accession-icon SRP070779
Modeling the ESR1 tyrosine 537 mutation with CRISPR-Cas9 for mechanistic studies and evaluation of therapeutic approaches for metastatic breast cancer [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Estrogen receptor-a (ERa) is an important driver of breast cancer and is the target for hormonal therapies, anti-estrogens and drugs that limit estrogen biosynthesis (aromatase inhibitors). Mutations in the ESR1 gene identified in metastatic breast cancer provide a potential mechanism for acquired resistance to hormone therapies. We have used CRISPR-Cas9 mediated genome editing in the MCF-7 breast cancer cell line, generating MCF-7-Y537S. MCF-7-Y537S cells encode a wild-type (tyrosine 537) and a mutant (serine 537) allele. Growth of the line is estrogen-independent and expression of ERa target genes is elevated in the absence of estrogen. ER ChIP-seq was carried out to map global ERa binding sites in the presence and absence of estrogen. RNA-seq following estrogen treatment was used for gene expression analysis. We show that expression of ER target genes and ER recruitment to ER binding regions is similar in MCF-7 and MCF-7-Y537S cells, except that ER recruitment to DNA and expression of ER target genes is frequently elevated in the absence of estrogen. Overall design: Hormone depleted MCF7 Luc or Y537S cells were treated with 10nM E2 or ethanol, as vehicle control, for 8 hours, with 3 replicates (2 replicates for Y537S + E2). RNA-seq was carried out using Illumina Hiseq 2500.

Publication Title

Genomic modelling of the ESR1 Y537S mutation for evaluating function and new therapeutic approaches for metastatic breast cancer.

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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