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accession-icon GSE79150
Gene expression profiling of skin and blood in hidradenitis suppurativa
  • organism-icon Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression profiling of skin and blood in hidradenitis suppurativa.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE72702
Gene expression profiling of skin in hidradenitis suppurativa
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

To acquire a better understanding of the molecular pathogenesis of HS, we performed mRNA microarray studies to compare gene expression in lesional skin to healthy skin of HS patients.

Publication Title

Gene expression profiling of skin and blood in hidradenitis suppurativa.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE79149
Gene expression profiling of blood in hidradenitis suppurativa
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

To acquire a better understanding of the molecular pathogenesis of hidradenitis suppurativa (HS), we performed mRNA microarray studies to compare whole blood gene expression of HS patients to that of healthy normal subjects.

Publication Title

Gene expression profiling of skin and blood in hidradenitis suppurativa.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon SRP127051
Hypoxia-inducible factor cell non-autonomously regulates C. elegans stress responses and behavior via a nuclear receptor
  • organism-icon Caenorhabditis elegans
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The HIF (hypoxia-inducible factor) transcription factor is the master regulator of the metazoan response to chronic hypoxia. In addition to promoting adaptations to low oxygen, HIF drives cytoprotective mechanisms in response to stresses and modulates neural circuit function. How most HIF targets act in the control of the diverse aspects of HIF-regulated biology remains unknown. We discovered that a HIF target, the C. elegans gene cyp-36A1, is required for numerous HIF-dependent processes, including modulation of gene expression, stress resistance, and behavior. cyp-36A1 encodes a cytochrome P450 enzyme that we show controls expression of more than a third of HIF-induced genes. CYP-36A1 acts cell non-autonomously by regulating the activity of the nuclear hormone receptor NHR-46, suggesting that CYP-36A1 functions as a biosynthetic enzyme for a hormone ligand of this receptor. We propose that regulation of HIF effectors through activation of cytochrome P450 enzyme/nuclear receptor signaling pathways could similarly occur in humans. Overall design: RNA-seq experiment characterizing C. elegans strains mutant for one or more member of the egl-9/hif-1/cyp-36A1 signaling pathway. Experiment was performed with two biological replicates per strain. N2 was used as the wild-type control.

Publication Title

Hypoxia-inducible factor cell non-autonomously regulates <i>C. elegans</i> stress responses and behavior via a nuclear receptor.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE47937
Gene expression changes due to influenza virus induced miRNAs
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The goal of this experiment was to determine gene expression changes during influenza A virus infection as the result of expression influenza virus inducible miRNAs in A549 cells.

Publication Title

Small RNA profiling of influenza A virus-infected cells identifies miR-449b as a regulator of histone deacetylase 1 and interferon beta.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE67351
Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells
  • organism-icon Homo sapiens
  • sample-icon 17 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

Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE27569
Expression data from zebrafish depleted of Esco2
  • organism-icon Danio rerio
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Our study in zebrafish is the first to use an animal model to understand the biology of the developmental disorder Roberts Syndrome (RBS). RBS is caused by mutations in the ESCO2 gene.

Publication Title

A zebrafish model of Roberts syndrome reveals that Esco2 depletion interferes with development by disrupting the cell cycle.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE10070
Gene Expression in MCF10A cells through Differentiation on Transwells
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To further understand the differences occurring in MCF10A cells as they polarize and differentiate in the Transwell model, we performed gene expression profiling with Affymetrix Human Genome U133 Plus 2.0 Arrays. Four experimental time points, were sampled: conventional cultures of MCF10A cells grown on plastic (Monolayer) and MCF10A cells plated on Transwells sampled at three TEER values, 200-300 cm2 (Base), 1400-1600 cm2 (Midpoint), and 3000-3200 cm2 (Plateau).

Publication Title

In vitro multipotent differentiation and barrier function of a human mammary epithelium.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE39186
Effect of TET1 and TET3 overexpression on the transcriptome of HEK293 cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We compared TET1 and TET3 overexpressing cells to uninduced cells with endogenous levels of the respective transcript to determine global gene expression changes.

Publication Title

Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE29814
Molecular profiling of stomatal lineage cell states
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

We initiated a study to investigate the transcriptional profiles associated with cell states of the stomatal lineage. A stem-cell like precursor of stomata, a meristemoid. reiterates asymmetric divisions and renews itself before differentiating into guard cells. The transient and asynchronous nature of the meristemoid has made it difficult to study its molecular characteristics. Through combinatorial use of genetic resources that either arrest or constitutively drive stomatal cell-state progressions due to loss- or gain-of-function mutations in the key transcription factor genes, SPEECHLESS, MUTE, and SCRM, we obtained seedlings highly enriched in pavement cells, meristemoids, or stomata. Here we present transcriptome and genome-wide trends in gene regulation associated with each cell state and identify molecular signatures associated with meristemoids.

Publication Title

Molecular profiling of stomatal meristemoids reveals new component of asymmetric cell division and commonalities among stem cell populations in Arabidopsis.

Sample Metadata Fields

Age, 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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