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accession-icon GSE8249
Systematic discovery and classification of ovarian fertility factors.
  • organism-icon Mus musculus
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Female infertility syndromes are among the most prevalent chronic health disorders in women, but their molecular basis remains unknown because of the complexity of oogenesis and uncertainty regarding the number and identity of ovarian factors controlling the assembly, preservation, and maturation of ovarian follicles. To systematically discover such ovarian fertility factors en masse, we employed a mouse model (Foxo3), where follicles are assembled normally but are then synchronously activated. Gene expression profiling of mutant and normal ovaries led to the identification a surprisingly large set of ovarian factors. The set included the vast majority of known ovarian factors, many of which when mutated produce female sterility phenotypes, but most were novel. Subsequent analyses revealed novel classes of ovarian factors and significant overrpresentation on the X chromosome, among other insights into the general properties of oogenesis genes and their patterns of expression.

Publication Title

Genomewide discovery and classification of candidate ovarian fertility genes in the mouse.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6027
Microarray expression analysis of meiosis and microsporogenesis in hexaploid bread wheat
  • organism-icon Triticum aestivum
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

Our understanding of the mechanisms that govern the cellular process of meiosis is limited in higher plants with polyploid genomes. Bread wheat is an allohexaploid that behaves as a diploid during meiosis. Chromosome pairing is restricted to homologous chromosomes despite the presence of homoeologues in the nucleus. The importance of wheat as a crop and the extensive use of wild wheat relatives in breeding programs has prompted many years of cytogenetic and genetic research to develop an understanding of the control of chromosome pairing and recombination. The rapid advance of biochemical and molecular information on meiosis in model organisms such as yeast provides new opportunities to investigate the molecular basis of chromosome pairing control in wheat. However, building the link between the model and wheat requires points of data contact. We report here a large-scale transcriptomics study using the Affymetrix wheat GeneChip aimed at providing this link between wheat and model systems and at identifying early meiotic genes. Analysis of the microarray data identified 1,350 transcripts temporally-regulated during the early stages of meiosis. Expression profiles with annotated transcript functions including chromatin condensation, synaptonemal complex formation,recombination and fertility were identified. From the 1,350 transcripts, 30 displayed at least an eight-fold expression change between and including pre-meiosis and telophase II, with more than 50% of these having no similarities to known sequences in NCBI and TIGR databases. This resource is now available to support research into the molecular basis of pairing and recombination control in the complex polyploid, wheat.

Publication Title

Microarray expression analysis of meiosis and microsporogenesis in hexaploid bread wheat.

Sample Metadata Fields

Specimen part

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accession-icon GSE17941
A Transcriptional Signature and Common Gene Networks Link Cancer with Metabolic Syndrome and Auto-immune Diseases
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Epidemiological studies have revealed concurrence of specific cancers with other disease states such as metabolic syndrome, inflammatory disease and autoimmune disease. Patients with these chronic conditions have a higher incidence of various cancers, more aggressive tumors, and a higher mortality rate. It has been proposed that obesity, inflammation and chronic disease should be correlated with cancer at the molecular level, but common gene signatures or networks have yet to be described. Here, we identify genes regulated during the process of cellular transformation in both a breast epithelial cell line and a set of isogenic fibroblastic cell lines.

Publication Title

A transcriptional signature and common gene networks link cancer with lipid metabolism and diverse human diseases.

Sample Metadata Fields

Cell line, Time

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accession-icon DRP003299
Gene expression of granulosa cells and oocytes in sus scrofa
  • organism-icon Sus scrofa
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression was examined in granulosa cells and oocytes in various stage of follicle and in vitro grown oocytes and granulosa cells complexes in sus scrofa.

Publication Title

Gene expression patterns in granulosa cells and oocytes at various stages of follicle development as well as in in vitro grown oocyte-and-granulosa cell complexes.

Sample Metadata Fields

Specimen part

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accession-icon GSE55285
Expression data from undifferentiated human ES cell line, khES3, grown using complete, methionine, leucine or lysine deprived media and ES cell derived endoderm
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Methionine metabolism regulates maintenance and differentiation of human pluripotent stem cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE55283
Expression data from undifferentiated human ES cell line, khES3, grown using complete or methionine deprived media and ES cell derived endoderm
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In undifferentiated human ES cells, 5hr Met deprivation (delta Met) led to decreased proliferation, and prolonged 24hr Met deprivation resulted in G0-G1 phase cell cycle arrest, which then led to apoptosis.

Publication Title

Methionine metabolism regulates maintenance and differentiation of human pluripotent stem cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE55284
Expression data from undifferentiated human ES cell line, khES3 grown using complete, leucine or lysine deprived media
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In undifferentiated human ES cells, 48hr Leucine deprivation (delta Leu) or Lysine deprivation (delta Lys) led to apoptosis.

Publication Title

Methionine metabolism regulates maintenance and differentiation of human pluripotent stem cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE145367
GeneChip Expression Array
  • organism-icon Rattus norvegicus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis to compare control cells and sorted cells

Publication Title

Identification of two major autoantigens negatively regulating endothelial activation in Takayasu arteritis.

Sample Metadata Fields

Specimen part

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accession-icon SRP188416
Transcriptome analysis of cultured human alveolar epithelial type 2 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIon Torrent S5

Description

We investigated whether in vitro expansion of human alveolar epithelial type II cells is possible. We found that human endogenous human alveolar epithelial type II cells can be cultured and passaged. The culture system enabled retroviral gene transduction into human alveolar epithelial type II cells. We performed RNA sequencing of human alveolar epithelial type II cells transduced with mutant surfactant protein C or control vector. Overall design: Cultured human alveolar epithelial type II cells were transfected with retroviral vector containing mutant surfactant protein C or control retroviral vector. The retroviral vector contained LNGFR as a marker. After gene transduction, transduced cells were purified by magnetic-activated cell sorting. The transcriptome of the cells was generated by 5'Tag-seq using Ion Genestudio S5 Sequencer.

Publication Title

In vitro expansion of endogenous human alveolar epithelial type II cells in fibroblast-free spheroid culture.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP140447
Transcriptome analysis of lung epithelial cells and lung fibroblasts from various developmental stages (E18.5, P0.5, P2, P7, P28, and P56)
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

In the alveoli, lung fibroblasts are in close contact with alveolar epithelial cells type 2, and are considered to support alveolar epithelial cells, forming an alveolar stem cell niche. However, what fibroblast-to-epithelial cell interactions occur during the alveolar maturation stage remains unclear. To understand the lung fibroblast-to-epithelial cell interactions, we performed time-course 3´SAGE-seq analysis of lung epithelial cells and fibroblasts. Overall design: Lung epithelial cells and lung fibroblasts from various developmental stages (E18.5, P0.5, P2, P7, P28, and P56) were purified by cell sorting. The time series transcriptome of the epithelial cells and fibroblasts was generated by 3'SAGE-seq using Ion Proton sequencer.

Publication Title

Mesenchymal-Epithelial Interactome Analysis Reveals Essential Factors Required for Fibroblast-Free Alveolosphere Formation.

Sample Metadata Fields

Specimen part, Cell line, 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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