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accession-icon GSE42576
CBFb Stabilizes HIV Vif to Counteract APOBEC3 at the Expense of RUNX1 Target Gene Expression
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

CBFβ stabilizes HIV Vif to counteract APOBEC3 at the expense of RUNX1 target gene expression.

Sample Metadata Fields

Cell line

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accession-icon GSE42574
CBFb Stabilizes HIV Vif to Counteract APOBEC3 at the Expense of RUNX1 Target Gene Expression [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The HIV-1 accessory protein Vif hijacks a cellular

Publication Title

CBFβ stabilizes HIV Vif to counteract APOBEC3 at the expense of RUNX1 target gene expression.

Sample Metadata Fields

Cell line

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accession-icon GSE105150
Expression data from CD28+/- resting CD8 T cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used microarrays to detail the global programme of gene expression underlying the loss of CD28 co-receptor on primary human CD8+ T cells.

Publication Title

Metabolic reprogramming of human CD8<sup>+</sup> memory T cells through loss of SIRT1.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP181219
Gene Expression Analysis in NIH3T3 cells with control or RPRD1B knockdown
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

To investigate the role of RPRD1B in regulating gene expression in NIH3T3 cells. Overall design: Examination of mRNA expression levels in cells with control or RPRD1B knockdown NIH3T3 cells

Publication Title

Crosstalk between RNA Pol II C-Terminal Domain Acetylation and Phosphorylation via RPRD Proteins.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP048937
Systems analyses reveal shared and diverse attributes of Oct4 regulation in pluripotent cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We combine a genome-scale RNAi screen in mouse epiblast stem cells (EpiSCs) with genetic interaction, protein localization and “protein-level dependency” studies – a systematic technique that uncovers post-transcriptional regulation – to delineate the network of factors that control the expression of Oct4, a key regulator of pluripotency. Our data signify that there are similarities, but also fundamental differences in Oct4 regulation in EpiSCs vs. embryonic stem cells (ESCs). Through multiparametric data analyses we predict that Tox4 is associating with the Paf1C complex, which maintains cell identity in both cell types and validate that this protein-protein interaction exists in ESCs and EpiSCs. We also identify numerous knockdowns that increase Oct4 expression in EpiSCs, indicating that, in stark contrast to ESCs, Oct4 is under active repressive control in EpiSCs. These studies provide a framework for better understanding pluripotency and for dissecting the molecular events that govern the transition from the pre-implantation to the post-implantation state. Overall design: RNA-seq of Tox4 knockdown in mouse EpiSCs

Publication Title

Systems Analyses Reveal Shared and Diverse Attributes of Oct4 Regulation in Pluripotent Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP095866
Immunoediting of the cancer genome during tumor progression and activation of PD-1/PD-L1 axis in a mouse model of carcinoma [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

We designed a study to investigate immunoediting of an epithelial cancer genome using wildtype and immunodeficient mice, NGS, and analytical pipelines to process and analyze the data. We carried out experiments with wildtype and immunodeficient RAG1-/- mice with transplanted tumors and analyzed longitudinal samples with respect to the genomic landscape and the immunophenotypes of the tumors. Finally, we performed also experiments with anti-PD-L1 antibodies and show how the activation of the PD1-PD-L1 axis modulates immunoediting. MC38 cells were subcutaneously injected into wild-type C57Bl/6 and immunodeficient Rag1-/- mice. Samples were taken at predefined time points and subjected to detailed analysis, including FACS, exome sequencing, RNA sequencing and SNP arrays. Overall design: Samples were taken at predifined time points, in triplicates and subjected to RNA sequencing using Ion Torrent Proton

Publication Title

Targeting immune checkpoints potentiates immunoediting and changes the dynamics of tumor evolution.

Sample Metadata Fields

Subject, Time

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accession-icon GSE52710
Time series expression data following miR-9 inhibition
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

A high-resolution time series study of transcriptome dynamics following antimiR--mediated inhibition of miR-9 in a Hodgkin lymphoma cell-line revealed both general and miR-9 specific aspects of the miRNA--mediated post--transcriptional dynamic response.MiR-9 inhibition induced a multiphasic gene response, with an initial direct response at approximately 4 hours and multiple later responses which showed transcription factor enrichments indicative of indirect causally downstream responses, and an overall shift of gene product function from predominantly mRNA processing at early time points to translation at later time points.

Publication Title

Transcriptome dynamics of the microRNA inhibition response.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon SRP158196
AmpliSeq Transcriptome Analysis of cells stimulated with polyIC in presence of GFP or NS5 protein
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIon Torrent S5

Description

We compared polyIC stimulated cells in the presence of either GFP or NS5 protein Overall design: A549 cells presence with GFP- or NS5-expressing plasmid using Polyjet (Signagen) according to manufacturer instructions, and 30 hours later stimulated with polyIC (Tocris) as previously described (Marazzi et al., 2012). At 12 hours post-stimulation, total cellular RNA was purified by RNeasy column (Qiagen).

Publication Title

Comparative Flavivirus-Host Protein Interaction Mapping Reveals Mechanisms of Dengue and Zika Virus Pathogenesis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE10067
Gene expression data from murine liver samples comparing hormone sensitive lipase (HSL) knockout mice vs. wildtype mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

HSL is a key enzyme in in the mobilization of fatty acids from the triglyceride stores of white adipose tissue. In addition, it is expressed in mice liver. In the present microarray study, changes in the transcript profile of murine liver samples due to global HSL knockout were investigated.

Publication Title

Disturbed cholesterol homeostasis in hormone-sensitive lipase-null mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE42519
The Hematopoietic System - Myeloid arm
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarray to create a normal cell landscape for the myeloid arm of the hematopoietic system.

Publication Title

Comparing cancer vs normal gene expression profiles identifies new disease entities and common transcriptional programs in AML patients.

Sample Metadata Fields

Specimen part

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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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