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accession-icon E-MEXP-1468
Transcription profiling of Arabidospsis etiolated seedlings Col-0 wild type compared to det3 mutants under various growth conditions
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Arabidopsis etiolated seedlings (4d old) Col-0 wild type compared to det3 mutants under various growth conditions

Publication Title

Reduced V-ATPase activity in the trans-Golgi network causes oxylipin-dependent hypocotyl growth Inhibition in Arabidopsis.

Sample Metadata Fields

Age

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accession-icon GSE107215
Epigenetic Effects of Maternal Obesity on Wharton's Jelly (WJ) Mesenchymal Stromal Cells (MSCs): Implications For Cellular Therapy.
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Effects of maternal obesity on Wharton's Jelly mesenchymal stromal cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE9674
Expression data from Arabidopsis plants misexpressing AtMYB30 after Xanthomonas inoculation at early timepoints
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plant immune responses to pathogen attack involve various defense mechanisms and among them, the Hypersensitive Response (HR), a form of programmed cell death occurring at invasion sites. AtMYB30, a transcription factor acts as a positive regulator of a cell death pathway conditioning the HR.

Publication Title

A MYB transcription factor regulates very-long-chain fatty acid biosynthesis for activation of the hypersensitive cell death response in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE57434
Transcriptional response of Drosophila S2 cells in response the Drosophila C Virus infection (DCV)
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

We infected Drosophila S2 cells (invitrogen) with Drosophila C virus (DCV) (Multiplicity of Infection = 10), and harvested samples for further analysis at 8 and 24 hours post-infection.

Publication Title

The heat shock response restricts virus infection in Drosophila.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE64052
Gene expression changes during resistance toward vascular endothelial growth factor receptor (VEGFR) tyrosine kinase inhibitor (TKI) therapy in renal cell carcinoma (RCC)
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study was performed to understand the gene expression changes that accompany treatment of renal cell carcinoma (RCC) with vascular endothelial growth factor receptor (VEGFR) tyrosine kinase inhibitor (TKI) therapy. Human RCC cell lines were implanted into the flanks of nude beige mice, allowed to reach 12mm in long axis, and then treated with TKIs (sunitinib or sorafenib). Tumors were excised at 2 timepoints (prior to any therapy and at the 20mm endpoint of the study) and gene expression analysis was performed.

Publication Title

Anti-S1P Antibody as a Novel Therapeutic Strategy for VEGFR TKI-Resistant Renal Cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP045763
Dynamics of gene silencing during X inactivation using allele-specific RNA-Seq
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon

Description

Background: During early embryonic development, one of the two X chromosomes in mammalian female cells is inactivated to compensate for a potential imbalance in transcript levels with male cells containing a single X chromosome. We use mouse female Embryonic Stem Cells (ESCs) with nonrandom XCI and polymorphic X chromosomes to study the dynamics of gene silencing over the inactive X chromosome (Xi) by high-resolution allele-specific RNA-Seq. Results: Induction of XCI by differentiation of female ESCs shows that genes proximal to the X-inactivation center (XIC) are silenced earlier than distal genes, while lowly expressed genes show faster XCI dynamics than highly expressed genes. The active X chromosome shows a minor but significant increase in gene activity during differentiation, resulting in complete dosage compensation in differentiated cell types. Genes escaping XCI show little or no silencing during early propagation of XCI. Using allele-specific RNA-Seq of Neural Progenitor Cells (NPCs) generated from the female ESCs, we identify three regions distal to the XIC that stably escape XCI during differentiation of the female ESCs, as well as during propagation of the NPCs. These regions coincide with Topologically Associated Domains (TADs) as determined in the undifferentiated female ESCs. Also the previously characterized human gene clusters escaping XCI correlate with TADs. Conclusions: Together, the dynamics of gene silencing observed over the Xi during XCI provide further insight in the formation and maintenance of the repressive Xi complex. The association of regions of escape with TADs, in mouse and human, suggests a regulatory role for TADs during propagation of XCI. Overall design: 19 RNA-Seq profiles of mouse ESCs, EpiSCs and NPCs, mostly from distant crosses to allow allele specific mapping. 1 HiC profile of an undifferentiated mouse female ESC line containing a Tsix mutation. Mainly focusing on X inactivation.

Publication Title

Dynamics of gene silencing during X inactivation using allele-specific RNA-seq.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22306
Integrative genomics identifies molecular alterations that differentiate superficial spreading and nodular melanoma
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative genomics identifies molecular alterations that challenge the linear model of melanoma progression.

Sample Metadata Fields

Cell line

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accession-icon GSE22301
Gene expression data from melanoma cell lines and melanocyte controls
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The two most common melanoma histopathologic subtypes, superficial spreading (SSM) and nodular melanoma (NM), are believed to represent sequential phases of linear progression from radial to vertical growth. Studies suggest, however, that SSM and NM are biologically distinct. We utilized an integrative genomic approach to examine the possibility that SSM and NM are the result of independent pathways characterized by unique molecular alterations. Cell lines including SSM, NM, metastatic melanoma, and melanocyte controls were evaluated for copy number changes and differential mRNA expression using single nucleotide polymorphism array (SNP 6.0, Affymetrix) and gene array (U133A 2.0, Affymetrix). Data sets were integrated to identify copy number alterations that correlated with gene expression, and array results were validated using immunohistochemistry on human tissue microarrays (TMAs) and an external data set. The functional effect of genomic deletion was assessed by lentiviral overexpression. Integrative genomics revealed 8 genes in which NM/SSM-specific copy number alterations were correlated with NM/SSM differential gene expression (P<0.05, Spearmans rank). Pathways analysis of differentially expressed genes (N=114) showed enrichment for metabolic-related processes. SSM-specific genomic deletions (DIS3, MTAP, G3BP2, SEC23IP, USO1) were verified in an expanded panel of cell lines, and forced overexpression of MTAP in SSM resulted in reduced cell growth. Metabolism-related gene ALDH7A1 was verified as overexpressed in NM using human TMAs.The identification of recurrent genomic deletions in SSM not present in NM challenges the linear model of melanoma progression and supports the unique molecular classification of SSM and NM.

Publication Title

Integrative genomics identifies molecular alterations that challenge the linear model of melanoma progression.

Sample Metadata Fields

Cell line

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accession-icon GSE27718
MiR-30b/30d regulation of GalNAc transferases enhances invasion and immunosuppression during metastasis
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To metastasize, a tumor cell must acquire abilities such as the capacity to colonize new tissue and evade immune surveillance. Recent evidence suggests that microRNAs can promote the evolution of malignant behaviors by regulating multiple targets simultaneously. We performed a microRNA analysis of human melanoma, an aggressively invasive cancer, and found that miR-30b/30d upregulation correlates with stage, metastatic potential of primary tumors, shorter time to recurrence and reduced overall survival. Ectopic expression of miR-30b/30d promoted the metastatic behavior of melanoma cells by directly targeting the GalNAc transferase GALNT7, resulted in increased synthesis of the immunosuppressive cytokine IL-10, and reduced immune cell activation and recruitment. These data point to a key role of miR-30b/30d and GalNAc transferases in metastasis, by simultaneously promoting cellular invasion and immune suppression.

Publication Title

miR-30b/30d regulation of GalNAc transferases enhances invasion and immunosuppression during metastasis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP062048
Yap and Taz regulate retinal pigment epithelial cell fate
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The optic vesicle comprises a pool of bi-potential progenitor cells from which the retinal pigment epithelium (RPE) and neural retina fates segregate during ocular morphogenesis. Several transcription factors and signaling pathways have been shown to be important for RPE maintenance and differentiation, but an understanding of the initial fate specification and determination of this ocular cell type is lacking. We show that Yap/Taz-Tead activity is necessary and sufficient for optic vesicle progenitors to adopt RPE identity in zebrafish. A Teadresponsive transgene is expressed within the domain of the optic cup from which RPE arises, and Yap immunoreactivity localizes to the nuclei of prospective RPE cells. yap (yap1) mutants lack a subset of RPE cells and/or exhibit coloboma. Loss of RPE in yap mutants is exacerbated in combination with taz (wwtr1) mutant alleles such that, when Yap and Taz are both absent, optic vesicle progenitor cells completely lose their ability to form RPE. The mechanism of Yap dependent RPE cell type determination is reliant on both nuclear localization of Yap and interaction with a Tead co-factor. In contrast to loss of Yap and Taz, overexpression of either protein within optic vesicle progenitors leads to ectopic pigmentation in a dosagedependent manner. Overall, this study identifies Yap and Taz as key early regulators of RPE genesis and provides a mechanistic framework for understanding the congenital ocular defects of Sveinsson’s chorioretinal atrophy and congenital retinal coloboma. Overall design: 60 pooled eyes from 36 hpf wild type or vsx2:Gal4/dsRed:14xUAS:YapS87A embryos were pooled for one sample. Three wild type and three vsx2:Gal4/dsRed:14xUAS:YapS87A pools were analyzed for RNA.

Publication Title

Yap and Taz regulate retinal pigment epithelial cell fate.

Sample Metadata Fields

No sample metadata fields

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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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