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accession-icon GSE11151
Gene expression data from different types of renal tumors and normal kidneys
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification and evaluation of specific molecular markers is of great importance for reliable diagnostics and outcome prediction of renal neoplasms

Publication Title

High-resolution DNA copy number and gene expression analyses distinguish chromophobe renal cell carcinomas and renal oncocytomas.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP051626
Molecular phenotyping of a test compound (small-molecule neurotransmitter receptor antagonist) in primary human hepatocytes
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

Expression profiles of 917 pathway repoter genes were determined by AmpliSeq-RNA in primary human hepatocytes treated with Diclofenac and a test compound 3 hours after treatment. Overall design: Vehicle control, diclofenac, and three doses of the test compound (small-molecule neurotransmitter receptor antagonist) were applied to three primary cell lines, with three biological replicates in each group. In some treatment groups read-outs were only available for two samples. All together 41 samples were profiled.

Publication Title

Pathway reporter genes define molecular phenotypes of human cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4391
Expression data from primitive and maturing hematopoietic stem cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Gene expression studies from hematopoietic stem cell (HSC) populations purified to variable degrees have defined a set of stemness genes. The present study describes the construction and comparative molecular analysis of l-phage cDNA libraries from highly purified primitive HSCs (PHSCs) which retained their long term repopulating activities (LTRAs), and from maturing HSCs (MHSCs) which were largely depleted of LTRAs. Library inserts were amplified and tagged by a T7 RNA polymerase promoter and used to generate biotinylated cRNA for Microarray hybridization. Microarray analysis of the libraries confirmed previous results but also revealed an unforseen preferential expression of translation and metabolism associated genes in the PHSCs. Therefore these data indicate that HSCs are quiescent only in regard of proliferative activities, but are in a state of readiness to provide the metabolic and translational activities required following induction of proliferation by factors which induce differentiation and exit from the HSC pool.

Publication Title

Gene expression profiles in murine hematopoietic stem cells revisited: analysis of cDNA libraries reveals high levels of translational and metabolic activities.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE103199
CTCFL
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Choice of binding sites for CTCFL compared to CTCF is driven by chromatin and by sequence preference.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE41010
Differential roles for MBD2 and MBD3 at methylated CpG islands, active promoters and exon sequences
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Differential roles for MBD2 and MBD3 at methylated CpG islands, active promoters and binding to exon sequences.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE41003
Expression data from HeLa cells after MBD2 and MBD3 knock down
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The heterogeneous collection of NuRD complexes can be grouped into the MBD2 or MBD3 containing complexes MBD2-NuRD and MBD3-NuRD. MBD2 is known to bind to methylated CpG sequences in vitro in contrast to MBD3. Although functional differences have been described, a direct comparison of MBD2 and MBD3 in respect to genome-wide binding and function has been lacking. Here we show when depleting cells for MBD2, the MBD2 bound genes increase their activity, whereas MBD2 plus MBD3 bound genes reduce their activity. Most strikingly, MBD3 is enriched at active promoters, whereas MBD2 is bound at methylated promoters and enriched at exon sequences of active genes. This suggests a functional connection between MBD2 binding to chromatin and splicing.

Publication Title

Differential roles for MBD2 and MBD3 at methylated CpG islands, active promoters and binding to exon sequences.

Sample Metadata Fields

Cell line

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accession-icon SRP063507
Expression profiling of S2 cells overexpressing wildtype or polymerization-defective Ph
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Chromatin in eukaryotic nuclei is organized at multiple scales, from individual nucleosomes to specific loops between regulatory sequences, to the folding of large genomic regions into topological domains and segregation of whole chromosomes into territories. Many of the chromatin proteins that regulate this architecture, including the essential Polycomb Group (PcG) proteins, are themselves organized into subnuclear structures. Deciphering mechanistic links between protein organization and genome architecture requires precise description and mechanistic perturbations of both. Using super-resolution microscopy, we characterized the nanoscale organization of PcG proteins in Drosophila cells and find hundreds of small protein clusters, distinct from the large PcG bodies present in just a few copies per cell that have been the focus of previous investigations. We manipulated PcG clusters either by disrupting the polymerization activity of the conserved Sterile Alpha Motif (SAM) of the PcG protein Polyhomeotic (Ph) or increasing Ph levels in Drosophila S2 cells. Disrupting clustering using Ph SAM mutations disrupts chromatin interactions on scales from 50kb to 13Mb while increasing Ph levels increases both cluster number and long range chromatin interactions. RNA-seq and qPCR indicate that both perturbations also alter expression levels of many genes. Molecular simulations suggest a model in which PcG cluster formation on chromatin is governed by the kinetics of association between Ph SAMs and PcG cluster size is bounded by the affinity and occupancy of chromatin binding sites. Our results suggest that nanoscale organization of PcG proteins into small, abundant clusters on chromatin through the polymerization activity of Ph SAM shapes genome architecture by mediating numerous long-range chromatin interactions. Overall design: Two biological replicates of three RNA-seq samples from S2 cells, cells overexpresing wild-type Ph, and cells overexpressing polymerization defective Ph-ML

Publication Title

Chromatin topology is coupled to Polycomb group protein subnuclear organization.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP158999
Transcriptome analysis of influenza infected GFP+ AEC compared to bystander GFP- AEC
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

A GFP-expressing recombinant A/Puerto Rico/8/1934 influenza virus was used to infect C57BL/6 wild type mice and on day 3 post infection, lung alveolar epithelial cells (AEC) were isolated and sorted based on GFP expression. GFP+ AEC represent the infected AEC and GFP- AEC represent the bystander AEC. AEC were also sorted from uninfected mice to serve as controls. Overall design: AEC from infected mice were pooled to make three (3) infected GFP+ AEC replicates for sequencing. Five (5) bystander GFP- replicates and five (5) uninfected AEC replicates were also isolated for sequencing

Publication Title

Transcriptome Analysis of Infected and Bystander Type 2 Alveolar Epithelial Cells during Influenza A Virus Infection Reveals <i>In Vivo</i> Wnt Pathway Downregulation.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE52511
Comparison of gene expression in wild-type Drosophila testes with tbrd-1 mutant testes
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Gene expression is tightly linked to histone acetylation on lysine residues that can be recognized by bromodomains. The testis-specific bromodomain protein tBRD-1 is essential for male fertility and might act as a co-factor of testis-specifc TAFs. Here, we perform microarray analyses and demonstrate that tBRD-1 selectively controls gene expression in male germ cells

Publication Title

tBRD-1 selectively controls gene activity in the Drosophila testis and interacts with two new members of the bromodomain and extra-terminal (BET) family.

Sample Metadata Fields

Specimen part

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accession-icon GSE17388
Gene expression analysis of rat livers treated with pharmaceutical development compounds
  • organism-icon Rattus norvegicus
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

We used microarrays to analyze gene expression changes in liver after treatment of rats with two compounds from drug development (R1, R2) to identify potential effects related to hepatotoxicity.

Publication Title

Gene expression-based in vivo and in vitro prediction of liver toxicity allows compound selection at an early stage of drug development.

Sample Metadata Fields

Sex, Specimen part, 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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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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