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accession-icon GSE66925
A Comparative Study of Global Transcriptomic Responses under Excess or deficient Phosphate (Pi) Regime reveals ethylene mediated signaling in Arabidopsis.
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.0 ST Array (aragene10st)

Description

Phosphorus is an essential macronutrient element, but some time causes problems if present in excess. Unlike the enormous molecular and morphophysiological information available in plants regarding phosphate (Pi) deficiency, little is known about the effect of excess Pi on plants, which is indeed essential for its remediation. Here, we have carried out a comparative study of plant molecular responses under excess Pi (20 mM) or without Pi (0 mM) at transcriptome level. The 1.25 mM treatment concentration of Pi used as a control to obtain differentially regulated genes under above mentioned Pi regimes. A novel whole-transcript expression array, i.e. Arabidopsis Gene 1.0 ST Array, was used to perform these experiments. The most distinctly regulated groups of genes represent modulation in ethylene mediated signaling, Fe deficiency response, and root development. We have also identified some defensin like genes, possessing a gibberellic acid regulated domain (GASA like) under excess Pi treatment. Overall, this study will not only help in dissecting the mechanism of plant responses under excess Pi but also provide the clues about the unknown genes involved in phosphorus homeostasis.

Publication Title

Comprehensive study of excess phosphate response reveals ethylene mediated signaling that negatively regulates plant growth and development.

Sample Metadata Fields

Specimen part

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accession-icon GSE10696
Expression analysis in A431_wt vs A431_GR cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A431 wild-type (wt) cancer cell line is sensitive to treatment with EGFR tyrosine kinase inhibitors (TKIs). By culturing it chronically under gefitinib, it eventually becomes resistant (A431_GR cell). We know of a few proteins involved in this mechanism of drug resistance, but a cDNA exprssion array would add information to other genes that might be involved in this resistance mechanism.

Publication Title

Acquired resistance to EGFR tyrosine kinase inhibitors in cancer cells is mediated by loss of IGF-binding proteins.

Sample Metadata Fields

Specimen part

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accession-icon GSE32129
Targeted ErbB3 loss in mammary organoids harvested from ErbB3 DOX-KO mice +/- DOX treatment
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mammary organoids harvested from ErbB3 DOX-KO mice, which utilize MMTV-Cre transgene expression in the LE to cause genomic recombination at floxed ErbB3 alleles in ErbB3FL/FL were cultured in the presence or absence of doxycycline to induce ErbB3 loss. The gene expression shift following DOX-induced ErbB3 loss in the 3D organoids was examined by microarray.

Publication Title

The receptor tyrosine kinase ErbB3 maintains the balance between luminal and basal breast epithelium.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE76237
Total blood monocyte gene expression from neovascular age-related macular degeneration patients and age-matched controls
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Mononuclear phagocytes (MPs), including monocytes and macrophages, play complex roles in the pathogenesis of age-related macular degeneration (AMD). We aimed to perform global transcriptome analysis on monocytes from AMD patients to obtain additional insight to the role of MPs in AMD. Peripheral blood was taken from treatment-nave neovascular AMD (nvAMD) patients (n=14), and age-matched controls (n=15). Peripheral blood mononuclear cells (PBMCs) were separated and monocytes were isolated via negative selection. Gene expression was evaluated with Affymetrix Gene1.0 ST microarrays. Statistical/bioinformatics analysis was performed using open sourceware programs.

Publication Title

Transcriptome Analysis on Monocytes from Patients with Neovascular Age-Related Macular Degeneration.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE27931
An RNAi Screen Identifies TRRAP as a Regulator of Brain Tumor-Initiating Cell Differentiation
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glioblastoma multiforme is the most common and most aggressive type of primary brain tumor. The brain-infiltrative character of glioblastoma makes complete surgical removal of the tumor impossible and neither radiation nor current chemotherapy provide cure. Recent evidence shows that glioblastoma multiforme consists of heterogeneous cell populations which differ in tumor-forming potential. Enriched tumor-initiating capacity has been linked to poorly differentiated glioblastoma cells sharing features with neural stem cells. Thus, these cells are important targets for new therapeutic strategies.

Publication Title

An RNAi screen identifies TRRAP as a regulator of brain tumor-initiating cell differentiation.

Sample Metadata Fields

Cell line

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accession-icon GSE18945
Tonicity iduced changes in gene expression in IMCD cells and the effect of Cyclosporin A
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Cyclosporin A induces expression of proapoptotic factors when cells are challenged by increased tonicity

Publication Title

Cyclosporin-A induced toxicity in rat renal collecting duct cells: interference with enhanced hypertonicity induced apoptosis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE13672
Mouse mpkCCD cells, Rat Kidney Proximal Tubule, and Rat Kidney Medullary Thick Ascending Limb
  • organism-icon Mus musculus, Rattus norvegicus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A series contains a set of transcript intensity values measured by Affymetrix microarray.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE13667
mpkCCD_Cell_Clones
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This series of microarray data contain transcript intensity of mpkCCD cells.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13668
Profiling of Transcripts in Rat Proximal Tubule
  • organism-icon Rattus norvegicus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Freshly isolated rat kidney proximal tubules were subjected for transcript profiling.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE13669
Profiling of Transcripts in Rat Kidney Medullary Thick Ascending Limb
  • organism-icon Rattus norvegicus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Freshly isolated rat kidney medullary thick ascending limbs were subjected for transcript profiling.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

Sex, Specimen part

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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