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accession-icon GSE24789
Expression data from mouse ovarian surface epithelium cells at different stages of malignancy
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Ovarian cancer is one of the most deadly cancers accounting for only 3% of diagnosed cancers, but is the fifth leading cause of cancer deaths among woman; however, the progression of ovarian cancer is poorly understood. To study and further understand the early events that lead to epithelial derived ovarian cancer, we previously developed a cell model of progressive ovarian cancer. Mouse ovarian surface epithelial (MOSE) cells have undergone spontaneous transformation in cell culture and represent pre-neoplastic, non-tumorigenic to an aggressive malignant phenotype.

Publication Title

Changes in gene expression and cellular architecture in an ovarian cancer progression model.

Sample Metadata Fields

Specimen part

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accession-icon GSE91188
A High Parasite Density Environment Induces Transcriptional Changes and Cell Death in Plasmodium falciparum Blood Stages
  • organism-icon Plasmodium falciparum
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Plasmodium/Anopheles Genome Array (plasmodiumanopheles)

Description

Transient regulation of Plasmodium numbers below the density that induces fever has been observed in chronic malaria infections in humans and this species transcending control cannot be explained by immunity alone. Using an in vitro system we have observed density dependent regulation of malaria parasitemia as a mechanism to possibly explain these in vivo observations.

Publication Title

A high parasite density environment induces transcriptional changes and cell death in Plasmodium falciparum blood stages.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP048734
Liver and muscle gene expression and cow fertility at late pregnancy, early lactation and mid lactation
  • organism-icon Bos taurus
  • sample-icon 86 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The transition between pregnancy and lactation is a major physiological change that dairy cows must contend with. Complex systemic and local processes involving gluconeogenesis, energy balance, utilisation of body reserves, insulin resistance and involution of the uterus can have an effect on animal health and farm profitability. Here we used an established Holstein cow model of fertility that displayed genetic and phenotypic divergence in calving interval, a trait used to define reproductive performance using a national breeding index in Ireland. Cows had similar genetic merit for milk production traits, but either very good genetic merit for fertility (‘Fert+’; n = 8) or very poor genetic merit for fertility (‘Fert-‘; n = 8). We investigated three distinct time-points, late pregnancy, early lactation and mid lactation (-18, 1 and 147 days on average with day 0 being birth), using RNA sequencing from both liver and muscle tissue biopsies and conducting a differential expression (DE) analysis. We found 807 and 815 unique genes to be DE in at least one time-point in liver and muscle respectively, of which 79% and 83% were only found in a single time-point; 40 and 41 genes were found DE at every time-point indicating possibly systemic or chronic dysregulation. Functional annotation resulted in evidence for two major physiological processes: immune and inflammation, and metabolic, lipid and carbohydrate-binding. These processes indicate areas of previous interest as well as specific systems that appear differentially regulated, and point towards interesting avenues of further research in a broad and complex field. Overall design: 96 samples total; 8 Fert+ (''high fertility''), 8 Fert- (''low fertility''); no controls; Fert+, Fert- differential gene expression at three timepoints in two tissues

Publication Title

Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE74318
The imprinted Phlda2 gene modulates a major endocrine compartment of the placenta to regulate placental demands for maternal resources
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Recent work suggests that imprinted genes may regulate the signalling function of the placenta by modulating the size of the endocrine compartment. Our work provides in vivo evidence that this hypothesis is well founded.

Publication Title

The imprinted Phlda2 gene modulates a major endocrine compartment of the placenta to regulate placental demands for maternal resources.

Sample Metadata Fields

Specimen part

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accession-icon GSE89325
Pathway analysis identifies altered mitochondrial metabolism, neurotransmission, structural pathways and complement cascade in retina/RPE/choroid in chick model of form-deprivation myopia
  • organism-icon Gallus gallus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

Microarray analysis was performed on retina/RPE/choroid samples taken from the right eyes of male chicks across control and recovery from form deprivation conditions.

Publication Title

Pathway analysis identifies altered mitochondrial metabolism, neurotransmission, structural pathways and complement cascade in retina/RPE/ choroid in chick model of form-deprivation myopia.

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

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accession-icon GSE6285
Expression data from brains of mice fed four different diets
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Beyond the DNA sequence difference between humans and closely related apes, there are large differences in the environments that these species experience. One prominent example for this is diet. The human diet diverges from those of other primates in various aspects, such as having a high calorie and protein content, as well as being cooked. Here, we used a laboratory mouse model to identify gene expression differences related to dietary differences.

Publication Title

Human and chimpanzee gene expression differences replicated in mice fed different diets.

Sample Metadata Fields

Sex, Age

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accession-icon GSE6297
Expression data from livers of mice fed four different diets
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Beyond the DNA sequence difference between humans and closely related apes, there are large differences in the environments that these species experience. One prominent example for this is diet. The human diet diverges from those of other primates in various aspects, such as having a high calorie and protein content, as well as being cooked. Here, we used a laboratory mouse model to identify gene expression differences related to dietary differences.

Publication Title

Human and chimpanzee gene expression differences replicated in mice fed different diets.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon SRP061430
RNA-sequencing of tamoxifen resistant LY2 cells transfected with siRNA-HOXC11.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

To assess the global effects of HOXC11 in endocrine resistant breast cancer cells we performed RNA-seq on LY2 cells which were transfected with either siRNA targeting HOXC11 (siHOXC11) or a scrambled negative control siRNA (scrHOXC11) in the presence of 4-OH-tamoxifen (10-8M). Knockdown was verified by Taq-man qRT-PCR prior to library preparation. RNA (10µg) was extracted using an Oligotex mRNA kit (Qiagen) as per manufacturer’s instructions (n=4). RNA was reverse transcribed followed by mRNA library preparation and sequencing based on a protocol outlined by Wilhelm et al., 2010. Sequencing was performed on an Illumina Genome Analyzer II (GAII) (54 million reads per sample on average). Overall design: Silencing of HOXC11 in tamoxifen resistant LY2 cells to identify putative HOXC11 target genes.

Publication Title

Prosaposin activates the androgen receptor and potentiates resistance to endocrine treatment in breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE115276
Maternal care boosted by paternal imprinting in mammals
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Previous work has suggested that the imprinted gene Phlda2 regulates the signalling function of the placenta by modulating the size of the endocrine compartment. This study investigated the affect that Phlda2 mutant placenta has upon the brains of the wildtype dams carrying different placenta and consequently offspring.

Publication Title

Maternal care boosted by paternal imprinting in mammals.

Sample Metadata Fields

Specimen part

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accession-icon GSE110446
Expression data from stimulated NK cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

In an effort to define unique and common signatures of NK cell activity that is non-detected at the protein level, we studied the entire transcriptome of NK cells.

Publication Title

Transcriptomic signatures of NK cells suggest impaired responsiveness in HIV-1 infection and increased activity post-vaccination.

Sample Metadata Fields

Specimen part, Treatment, Subject

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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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