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accession-icon SRP190212
Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Difference in RNA content of different cell types introduces bias to gene expression deconvolution methods. If ERCC spike-ins are introduced into samples, predicted proportions of deconvolution methods can be corrected Overall design: Two cell types of distinctly different sizes and RNA per cell content: HEK cells and Jurkat cells were mixed in different proportions ensuring that each mixture contained total of one million cells. We sequenced RNA of the samples (including ERCC spike-in controls to 382 be able to control for the absolute RNA-concentration).

Publication Title

Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures.

Alternate Accession IDs

GSE129240

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE14347
Knock-out of the nuclear localization in pp65 protein of Cytomegalovirus: biologic and immunologic effects
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The CMVpp65 protein contains 2 bipartite nuclear localization signals (NLS) at 415-438aa and 537-561aa near the carboxy terminus of CMVpp65 and a phosphate binding site related to kinase activity at lysine-436. A mutation of pp65 having K436N (CMVpp65mII) and further deletion of aa537-561 resulted in a novel protein (pp65mIINLSKO) that is kinase-less and has markedly reduced nuclear localization. The purpose of this report was to study the biologic characterization of this protein and its immunogenicity compared to native pp65.Using RNA microarray analysis, expression of the CMVpp65mIINLSKO had less effect on cell cycle pathways than did the native CMVpp65 and a greater effect on cell surface signalling pathways involving immune activity. It is concluded that the removal of the primary NLS motif from pp65 does not impair its immunogenicity and may actually be advantageous in the design of a vaccine.

Publication Title

Biologic and immunologic effects of knockout of human cytomegalovirus pp65 nuclear localization signal.

Alternate Accession IDs

E-GEOD-14347

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE99055
Global gene expression in Abp57-overexpressing transgenic rice
  • organism-icon Oryza sativa indica group
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice (Chinese Build) Gene 1.0 ST Array (rcngene10st)

Description

An auxin-binding protein (Abp57) was previously isolated from rice and known to activate plasma membrane proton ATPase. The Abp57 function was characterised by overexpression in the rice and Arabidopsis. The transgene expression was driven by constitutive promoter, CaMV35S. Results from physiological experiments showed that the transgenic lines were tolerant to drought and salinity stress.

Publication Title

Microarray dataset of transgenic rice overexpressing <i>Abp57</i>.

Alternate Accession IDs

E-GEOD-99055

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE79598
Expression data from H9 human embryonic stem cells (hESCs) infected with either lentiviral non-silencing shRNA or shRUNX1, and differentiated to early mesendoderm
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We used microarrays to detail the global program of gene expression during early hESC differentiation to mesendoderm using FBS, with and without RUNX1 depletion.

Publication Title

Transient RUNX1 Expression during Early Mesendodermal Differentiation of hESCs Promotes Epithelial to Mesenchymal Transition through TGFB2 Signaling.

Alternate Accession IDs

E-GEOD-79598

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP166172
Effect of high-fat diet on hepatic gene expression in SM/J mice
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We identified 4,356 genes with expression differences associated with a high-fat diet, with 184 genes exhibiting a sex-by-diet interaction. Dietary fat dysregulated several pathways, such as cytokine-cytokine receptor interaction, chemokine signaling, and oxidative phosphorylation. Grant: Funding source: American Heart Association Grant number: 16PRE26420105 Title: The effect of maternal over-nutrition on obesity, epigenetics, and gene expression Awarded to Madeline Keleher Overall design: We performed RNA-seq in 21 total libraries, each with two mice of the same sex and diet pooled together (There were 6 low-fat-fed female libraries, 5 libraries of high-fat-fed females, 5 libraries of low-fat-fed males, and 5 libraries of high-fat-fed males). A 1x50 single read sequencing run was done on an Illumina HiSeq 2500 machine (Illumina Inc.)

Publication Title

A high-fat diet alters genome-wide DNA methylation and gene expression in SM/J mice.

Alternate Accession IDs

GSE121525

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE7139
Comparative GeneChip expression profiling of four brain regions
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Study on selective vulnerability of certain brain regions to oxidative stress. Here we selected 4 brain regions (hippocampal CA1 and CA3, cerebral cortex, and cerebellar granular layer) to study this phenomenon.

Publication Title

Genomic and biochemical approaches in the discovery of mechanisms for selective neuronal vulnerability to oxidative stress.

Alternate Accession IDs

E-GEOD-7139

Sample Metadata Fields

Specimen part

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accession-icon GSE49326
Gene expression in Drosophila hemocytes at the onset of metamorphosis, and dependence to the Ecdysone Receptor
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Drosophila Gene 1.1 ST Array (drogene11st)

Description

Coupling immunity and development is essential to ensure survival despite changing internal conditions in the organism. The metamorphosis of the fruit fly represents a striking example of drastic and systemic physiological changes that need to be integrated with the innate immune system. However, the mechanisms that coordinate development and immune cell activity in the transition from larva to adult in Drosophila remain to elucidate. The steroid hormone ecdysone is known to act as a key coordinator of metamorphosis. This hormone activates a nuclear receptor, the Ecdysone Receptor (EcR), which acts as a heterodimer with its partner Ultraspiracle (USP). Together, they activate the transcription of primary response genes, which in turn activate the transcription of a battery of late response genes. We have revealed that regulation of macrophage-like cells (hemocytes) by the steroid hormone ecdysone is essential for an effective innate immune response over metamorphosis. We have shown that in response to ecdysone signalling, hemocytes rapidly up regulate actin dynamics, motility and phagocytosis of apoptotic corpses, and acquire the ability to chemotax to damaged epithelia. Most importantly, individuals lacking ecdysone-activated hemocytes are defective in bacterial phagocytosis and are fatally susceptible to infection by bacteria ingested at larval stages, despite the normal systemic production of antimicrobial peptides. This decrease in survival is comparable to the one observed in pupae lacking immune cells altogether, indicating that ecdysone-regulation is essential to hemocyte immune functions and survival after infection.

Publication Title

Steroid hormone signaling is essential to regulate innate immune cells and fight bacterial infection in Drosophila.

Alternate Accession IDs

E-GEOD-49326

Sample Metadata Fields

Specimen part

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accession-icon SRP043590
Chromatin and signaling pathways in reprogramming
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Reprogramming intermediates (pre-iPSCs) were subjected to control DMSO, ascorbic acid (AA), 2i ( MAP kinase inhibitor + GSKinhibitor) or AA+2i conditions to assess conversion to the iinduced pluripotent stem cell state (iPSC) after 10days. Overall design: Pre-iPSC cells exposed to control DMSO, AA, 2i or AA+2i were harvested on day 2 for RNA sequencing after treatment, in biological triplicate.

Publication Title

Collaborative rewiring of the pluripotency network by chromatin and signalling modulating pathways.

Alternate Accession IDs

GSE58836

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22881
Expression data from murine cardiac tissue
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gender dimorphism exists in the physiological response to diet and other environmental factors. Trans-hydrogenated fatty acid (TFA) intake is associated with an increase in coronary heart disease (CHD), and gender differences in the incidence of CHD are well documented. Neonatal administration of Monosodium Glutamate (MSG) causes stunted heart growth and hypoplasticity; and gender dimorphism at the growth hormone axis has been demonstrated in MSG-treated rodents. The identification of gender dimorphism in cardiac nutrigenomics may provide the basis for gender-specific medicine in the future.

Publication Title

Sex-dimorphism in cardiac nutrigenomics: effect of trans fat and/or monosodium glutamate consumption.

Alternate Accession IDs

E-GEOD-22881

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE40595
A cancer associated fibroblasts (CAFs) specific gene signature in high grade serous ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ovarian cancer is the most lethal malignancy in the United States. In the year 2012, there will be an estimated 22,280 new cases and 15,500 deaths from ovarian cancer in the country (Siegel et al., 2012). While studies on ovarian cancer pathogenesis were mainly focused on the epithelial component of the tumor, understanding in the role of cancer associated fibroblasts (CAFs) in ovarian cancer progression is limited. We hypothesized that comparing the gene expression profiles of different components from laser capture microdissected ovarian tissue will allow us to identify an ovarian CAFs specific gene signature which accounts for the supportive role of CAFs in ovarian cancer progression. In this study, gene expression profiling was completed for 31 cancer stroma samples and 32 samples of epithelial component from high grade serous ovarian cancer patients. 8 microdissected normal ovarian stroma and 6 normal human ovarian surface epithelium (HOSE) samples were also included in the study. By comparing the expression data from cancer stroma against that from normal stroma, cancer cells and HOSE, we identified a set of differential expressed genes in ovarian CAFs which showed correlation with cancer patient survival. Further study on these genes can reveal their roles in ovarian cancer progression and pathogenesis. Ultimately, ovarian CAFs specified genes identified in this study may aid in the classification and enhancement of patient outcome.

Publication Title

TGF-β modulates ovarian cancer invasion by upregulating CAF-derived versican in the tumor microenvironment.

Alternate Accession IDs

E-GEOD-40595

Sample Metadata Fields

Specimen part

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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