refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
    0
github link
Showing
of 527 results
Sort by

Filters

Technology

Platform

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

View Samples
accession-icon GSE54049
Hit-and-run transcriptional control by bZIP1 mediates rapid nutrient signaling in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To identify potential transient interactions between a TF and its targets, we developed an approach that can identify primary targets based either on TF-induced regulation or TF-binding, assayed in the same samples. Our studies focused on the TF bZIP1 (BASIC LEUCINE ZIPPER 1), a central integrator of cellular and metabolic signaling.

Publication Title

Hit-and-run transcriptional control by bZIP1 mediates rapid nutrient signaling in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

View Samples
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

View Samples
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

View Samples
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

View Samples
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

View Samples
accession-icon GSE56534
Infection of macrophages by Toxoplasma Progeny from a Type II x Type III cross
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Infection of RAW264.7 cells for 24 hours with 32 Toxoplasma Progeny from a Type II x Type III cross

Publication Title

GRA25 is a novel virulence factor of Toxoplasma gondii and influences the host immune response.

Sample Metadata Fields

No sample metadata fields

View Samples
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

View Samples
accession-icon GSE40545
RB pathway deregulation promotes invasion and disease progression in a mouse model of MYC-overexpressing mammary tumorigenesis
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Breast cancer is a highly heterogeneous disease that is categorized into distinct tumor subtypes based on specific molecular attributes, which ultimately influence therapeutic options. Unlike ER+ and/or HER2+ cancers that are subject to specific targeted therapies, triple negative breast cancers (TNBCs) do not express these receptors, which leaves patients with limited treatment options. Thus, significant focus has been placed on identifying molecular attributes of basal-like disease that could be used to develop and/or direct novel treatment regimens. Activation of MYC signaling and inactivation of the RB-pathway are frequent events in many types of human cancers. These pathways influence many biological processes, such as cell proliferation, that contribute to the aggressiveness and therapeutic response of tumors. The current study examines the interaction of the MYC and RB pathways in mammary epithelial cell tumorigenesis.

Publication Title

RB loss contributes to aggressive tumor phenotypes in MYC-driven triple negative breast cancer.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE40663
Genome-wide Profiling of Progesterone Receptor and GATA2 Binding in the Mouse Uterus
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Research resource: Genome-wide profiling of progesterone receptor binding in the mouse uterus.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact