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accession-icon GSE61211
Differential gene expression between uninfected and infected U937 derived macrophages with Leishmania braziliensis
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The main objective of this study is to identify the list of genes differentially expressed between infected with Leishmania braziliensis and non-infected macrophage cultures based on gene expression microarray profiling

Publication Title

Changes in Macrophage Gene Expression Associated with Leishmania (Viannia) braziliensis Infection.

Sample Metadata Fields

Specimen part

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accession-icon GSE7491
Expression data from rat lung alveolar development
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Lung alveolarization is a complex process that involves interactions between several cell types and leads to considerable increase in gas-exchange surface area. The step designated secondary septation includes elastogenesis from interstitial fibroblasts.

Publication Title

Gene expression profiling in lung fibroblasts reveals new players in alveolarization.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17677
Modulation of gene expression by rapamycin in hepatic cell lines
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Rapamycin response in tumorigenic and non-tumorigenic hepatic cell lines.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17661
Modulation of gene expression by rapamycin in hepatic cell lines, WB-F344 and WB311
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Two rat hepatic cell lines, WB-F344 and WB311, were characterized for the effect of rapamycin on gene expression. The WB311 cell line, which is tumorigenic and resistant to the growth inhibitory effects of rapamycin, was originally derived from the WB-F344 parental hepatic epithelial cell line. The goal of this experiment was to identify genes that responded to rapamycin in the sensitive cells but not the resistant cells, thereby providing insight into the mechanism of rapamycin resistance.

Publication Title

Rapamycin response in tumorigenic and non-tumorigenic hepatic cell lines.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP044608
TNFa Signaling Exposes Latent Estrogen Receptor Binding Sites in Breast Cancer Cells [GRO-seq]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The interplay between mitogenic and proinflammatory signaling pathways play key roles in determining the phenotypes and clinical outcomes of breast cancers. We have used global nuclear run-on coupled with deep sequencing to characterize the immediate transcriptional responses of MCF-7 breast cancer cells treated with estradiol, TNFa, or both. In addition, we have integrated these data with chromatin immunoprecipitation coupled with deep sequencing for estrogen receptor alpha (ERa), the pioneer factor FoxA1 and the p65 subunit of the NF-?B transcription factor. Our results indicate extensive transcriptional interplay between these two signaling pathways, which is observed for a number of classical mitogenic and proinflammatory protein-coding genes. In addition, GRO-seq has allowed us to capture the transcriptional crosstalk at the genomic locations encoding for long non-coding RNAs, a poorly characterized class of RNAs which have been shown to play important roles in cancer outcomes. The synergistic and antagonistic interplay between estrogen and TNFa signaling at the gene level is also evident in the patterns of ERa and NF-?B binding, which relocalize to new binding sites that are not occupied by either treatment alone. Interestingly, the chromatin accessibility of classical ERa binding sites is predetermined prior to estrogen treatment, whereas ERa binding sites gained upon co-treatment with TNFa require NF-?B and FoxA1 to promote chromatin accessibility de novo. Our data suggest that TNFa signaling recruits FoxA1 and NF-?B to latent ERa enhancer locations and directly impact ERa enhancer accessibility. Binding of ERa to latent enhancers upon co-treatment, results in increased enhancer transcription, target gene expression and altered cellular response. This provides a mechanistic framework for understanding the molecular basis for integration of mitogenic and proinflammatory signaling in breast cancer. Overall design: Using GRO-seq and ChIP-seq (ER, FoxA1 and p65) to assay the molecular crosstalk of MCF-7 cells treated with E2, TNFa or both E2+TNFa.

Publication Title

TNFα signaling exposes latent estrogen receptor binding sites to alter the breast cancer cell transcriptome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55298
Toxoplasma RH and Mock Infection of macrophages
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Infection of RAW264.7 cells with RHku80 parasites or mock-infection for 24 hours

Publication Title

Infection by Toxoplasma gondii specifically induces host c-Myc and the genes this pivotal transcription factor regulates.

Sample Metadata Fields

Cell line

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accession-icon GSE19829
A gene expression profile of BRCAness that is associated with outcome in ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A gene expression profile of BRCAness was defined in publicly available expression data of 61 patients with epithelial ovarian cancer (34 patients with BRCA-1 or BRCA-2 mutations and 27 patients with sporadic disease). This dataset is publicly available at http://jnci.oxfordjournals.org/cgi/content/full/94/13/990/DC1

Publication Title

Gene expression profile of BRCAness that correlates with responsiveness to chemotherapy and with outcome in patients with epithelial ovarian cancer.

Sample Metadata Fields

Age, Disease stage

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accession-icon GSE97897
Engraftment and Repopulation Potential of Late Gestation Fetal Rat Hepatocytes
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Liver transplantation is the only therapeutic option for patients with end-stage liver disease. The shortage of donor organs has led to the search for alternative therapies to restore liver function and bridge patients to transplantation. Our previous work has shown that the proliferation of late gestation E19 fetal hepatocytes is mitogen-independent. This is manifested as differences in the control of ribosome biogenesis, global translation, cell cycle progression and gene expression. In the present study, we investigated whether E19 fetal hepatocytes would engraft and repopulate an injured adult liver.

Publication Title

Engraftment and Repopulation Potential of Late Gestation Fetal Rat Hepatocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE2498
Ablation of Telomerase and Ku86
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Transcriptome of murine testis from wild type mice and mice lacking telomerase for three generations (G3-Terc), Ku86 or both telomerase and Ku86.

Publication Title

Effectors of mammalian telomere dysfunction: a comparative transcriptome analysis using mouse models.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP148775
High-troughput expression profile of long non-coding and protein-coding RNAs in primary murine aortic endothelial cells (MAoECs)
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2000

Description

strand specific sequencing of RNAs from MAoECs to determine the endothelial-specific expression profile of protein-coding and long non-coding RNAs Overall design: Total RNA was isolated from cultured MAoECs (passage 4) and processed for a strand-specific RNA sequencing. The RNA purity and integrity were assessed using the Fragment Analyzer Automated CE System (Advanced Analytical). A RQN of 8.8 and a 28S/18S ratio of 2.2 were considered acceptable for next generation sequencing assay. Five µg of DNase-treated RNA were used to prepare Massive Analysis of cDNA ends (MACE) libraries needed to perform a DNA-Methylation-Sequencing (Meth-Seq) PCR bias free quantification with TrueQuant Technology, followed by a high-throughput sequencing on the Illumina Genome Analyzer II system (GenXPro GmbH, Frankfurt, Germany). The procedure consist in the extraction of poly-adenylated RNA from 5 µg RNA and reverse transcribed with biotinylated poly(T) primers. cDNA is fragmented to an average size of 250 bp. Biotinylated ends are captured by streptavidin beads and ligated to modified adapters (TrueQuant DNA adapter, GenXPro). The libraries are amplified by PCR, purified by SPRI beads and sequenced (2 x 100 bp Illumina HiSeq2000 TrueSeq, 2 x 20 Mio. Reads poly-A selected paired-end reads). Paired end sequencing of both DNA strands from each end is required for fragment strand specificity.

Publication Title

miR-103 promotes endothelial maladaptation by targeting lncWDR59.

Sample Metadata Fields

Specimen part, Subject

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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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