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accession-icon GSE85224
Transcriptional profiling of GDF11 or TGFB1 stimulated NMuMG 3D spheroids
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

The objective of this study was to identify transcriptional changes differentially regulated by GDF11 stimulation compared to TGFB1

Publication Title

Tumor-Suppressor Inactivation of GDF11 Occurs by Precursor Sequestration in Triple-Negative Breast Cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE28106
CPEB Deficiency Stimulates PTEN and Stat3 mRNA Translation and Induces Hepatic Insulin Resistance
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Analysis of CPEB translational regulator target mRNAs

Publication Title

Cytoplasmic polyadenylation element binding protein deficiency stimulates PTEN and Stat3 mRNA translation and induces hepatic insulin resistance.

Sample Metadata Fields

Age

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accession-icon GSE51467
Expresion profile of TGR-1 (Myc+/+) and HO15.19 (Myc-/-) infected with a retrovirus expressing Hhex or GFP (controls)
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

The aim of this experiment is to determine Hhex targets in the presence and absence of Myc.

Publication Title

Growth-promoting and tumourigenic activity of c-Myc is suppressed by Hhex.

Sample Metadata Fields

Cell line

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accession-icon GSE37548
Expresion profile of MEF reprogrammed with Yamanakas factor together with FoxA2 and Gata4
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In a pilot experiment to reprogramme MEF into endoderm, we infected MEF with the Yamanakas factors (O: Oct4, K: Klf4, S: Sox2, M:Myc), FoxA2 (F) and Gata4 (G). Global gene expression of isolated clones was performed.

Publication Title

Gata4 blocks somatic cell reprogramming by directly repressing Nanog.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64896
Gene expression of distinct lung dendritic cell subsets
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Pulmonary dendritic cells are heterogenous cells comprise four distinct subsets including two conventional dendritic cell subsets, CD103+ and CD11bhiCD14lo cells, and two monocyte-derived dendritic cell subsets. Their functions in terms of migration and T cell activation are distinct, but genes regulating their features are to be determined.

Publication Title

Complement receptor C5aR1/CD88 and dipeptidyl peptidase-4/CD26 define distinct hematopoietic lineages of dendritic cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP034657
Genome-wide activity of unliganded Estrogen Receptor alpha in breast cancer cells [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

ERa is essential for the anti-proliferative response of breast cancer cells not only to estrogen antagonists, but also to estrogen withdrawal by means of aromatase inhibitors. We explored here one of the simplest explanation for this, consisting in the possibility that ERa may have a wide genomic function in absence of ligands. The genomic binding of ERa in the complete absence of estrogen was then studied using hormone-dependent MCF7 cells, by chromatin immunoprecipitation sequencing. From these data, 4.2K highly significant binding events were identified, which were further confirmed by comparing binding events in cells expressing ERa to cells silenced for ERa. Apo-ERa binding sites were distributed close to genes with functions associated to cell growth and epithelial maintenance and show significant overlap with binding of other transcription factors important for luminal epithelial breast cancer. Interestingly, we found that upon ERa silencing cognate gene transcription in absence of estrogen is downregulated and this is accompanied by increased H27Kme3 at ERa binding sites. RNA-Seq experiments showed that unliganded ERa controls basal transcription widely, including both coding and noncoding transcripts. Genes affected by ERa silencing can be easily functionally related to mammary epithelium differentiation and maintenance, especially when considering downregulated genes. Additional functions related to inflammatory and immune response was observed. Our data unravel unexpected actions of ERa in breast cancer cells and provide a novel framework to understand success and failure of hormone therapy in breast cancer. Overall design: Examination of unligandend estrogen receptor alpha (aERa) DNA interactions in control and aERa siRNA treated MCF7 cells.

Publication Title

Dissecting the genomic activity of a transcriptional regulator by the integrative analysis of omics data.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12837
Gene expression in human myeloid cells.
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.

Publication Title

Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE139401
Genome-wide analysis of gene expression response to type II ribosome inactivating protein stenodactylin
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Time-series analysis of response to ribosome 28s damage at gene expression level

Publication Title

Early Response to the Plant Toxin Stenodactylin in Acute Myeloid Leukemia Cells Involves Inflammatory and Apoptotic Signaling.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE12803
Gene expression in human myeloid cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.

Publication Title

Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP055207
Gene expression differences in yolk sac tissue between wild-type and Zfp36l3 knockout mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The ZFP36L3 protein is a rodent-specific, placenta- and yolk sac-specific member of the tristetraprolin (TTP) family of CCCH tandem zinc finger proteins. These proteins bind to AU-rich elements in target mRNAs, and promote their deadenylation and decay. Mice deficient in ZFP36L3 exhibited decreased neonatal survival rates, but no apparent morphological changes in the placenta or surviving offspring. Zfp36l3 is paternally imprinted, with profound parent-of-origin effects on gene expression. RNASeq of KO placental mRNA revealed many significantly affected transcripts, some of which exhibited decreased decay rates in differentiated trophoblast stem cells derived from KO blastocysts. The type 1 transferrin receptor mRNA was unexpectedly decreased in KO placentas, despite an increase in its stability. This receptor is critical for placental iron uptake from the maternal circulation, and its decrease was accompanied by decreased iron stores in the KO fetus, suggesting that this intrauterine deficiency might have deleterious consequences in later life. Overall design: Examination of gene expression differences in yolk sac tissue between wild-type and knockout mice groups with 4 biological replicates in each group

Publication Title

Deficiency of the placenta- and yolk sac-specific tristetraprolin family member ZFP36L3 identifies likely mRNA targets and an unexpected link to placental iron metabolism.

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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