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accession-icon SRP126945
RNA sequencing on LNCaP cells
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNA sequencing on LNCaP cells was carried out to study how tunicamycin-induced gene expression is affected by knockdown of EIF2AK3 and ATF4. Overall design: Samples from the below setup (treatments protocol) were harvested from four independent experiments. RNA integrity of total RNA samples was assessed by Bioanalyzer. All samples had RIN = 9.7.

Publication Title

The kinase PERK and the transcription factor ATF4 play distinct and essential roles in autophagy resulting from tunicamycin-induced ER stress.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE1907
Sarcoidosis + Follow-up study
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

Sarcoidosis + Follow-up 6 month after

Publication Title

Functional genomics and prognosis in sarcoidosis--the critical role of antigen presentation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29832
Expression data from pure/mixed blood and breast to test feasability of deconvolution of clinical samples
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Samples collected from human subjects in clinical trials possess a level of complexity, arising from multiple cell types, that can obfuscate the analysis of data derived from them. Blood, for example, contains many different cell types that are derived from a distinct lineage and carry out a different immunological purpose. Failure to identify, quantify, and incorporate sources of heterogeneity into an analysis can have widespread and detrimental effects on subsequent statistical studies.

Publication Title

Optimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samples.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE19830
Expression data from pure/mixed brain, liver and lung to test feasability and sensitivity of statistical deconvolution
  • organism-icon Rattus norvegicus
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Tissues are often made up of multiple cell-types. Blood, for example, contains many different cell-types, each with its own functional attributes and molecular signature. In humans, because of its accessibility and immune functionality, blood cells have been used as a source for RNA-based biomarkers for many diseases. Yet, the proportions of any given cell-type in the blood can vary markedly, even between normal individuals. This results in a significant loss of sensitivity in gene expression studies of blood cells and great difficulty in identifying the cellular source of any perturbations. Ideally, one would like to perform differential expression analysis between patient groups for each of the cell-types within a tissue but this is impractical and prohibitively expensive.

Publication Title

Cell type-specific gene expression differences in complex tissues.

Sample Metadata Fields

Specimen part

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accession-icon GSE20300
Whole blood gene expression analysis of stable and acute rejection pediatric kidney transplant patients
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Full title: Expression data from whole blood gene expression analysis of stable and acute rejection pediatric kidney transplant patients

Publication Title

Cell type-specific gene expression differences in complex tissues.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE47686
Gene expression profiles of Hodgkins lymphoma cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

By using high-density DNA microarrays, we analyzed the gene-expression profile of Hodgkin's lymphoma cell lines.

Publication Title

Expression and Regulation of the Endogenous Retrovirus 3 in Hodgkin's Lymphoma Cells.

Sample Metadata Fields

Cell line

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accession-icon GSE40988
Gene expression profile of Hodgkins lymphoma cells after knock-down of PRAME
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

By using high-density DNA microarrays, we analyzed the gene-expression profile of Hodgkin's lymphoma cell line L-428 after knock-down of the tumor antigen PRAME (preferentially expressed antigen in melanoma)

Publication Title

Knock-down of PRAME increases retinoic acid signaling and cytotoxic drug sensitivity of Hodgkin lymphoma cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE30884
Gene expression profiles of Hodgkins lymphoma cells after treatment with vorinostat
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

By using high-density DNA microarrays, we analyzed the gene-expression profile of Hodgkin's lymphoma cell line L-540 after tretament with the histone deactelyse inhibitor vorinostat.

Publication Title

Histone deacetylase inhibition restores cisplatin sensitivity of Hodgkin's lymphoma cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE28976
Expression data from human breast cancer cell lines after demethylation treatment
  • organism-icon Homo sapiens
  • sample-icon 39 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

Integrated epigenetics of human breast cancer: synoptic investigation of targeted genes, microRNAs and proteins upon demethylation treatment.

Sample Metadata Fields

Treatment

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accession-icon GSE28968
MRNA expression data from human breast cancer cell lines after demethylation treatment.
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The contribution of aberrant DNA methylation and the downstream effects in tumorogenesis through silencing of tumor suppressor genes (TSGs) and microRNAs has been investigated. Since these epigenetic alterations can be reversed, we investigated the effects of the epigenetic therapy in breast cancer cell lines.

Publication Title

Integrated epigenetics of human breast cancer: synoptic investigation of targeted genes, microRNAs and proteins upon demethylation treatment.

Sample Metadata Fields

Treatment

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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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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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