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accession-icon SRP051170
The activation of IL-1 induced enhancers depends on TAK1 kinase activity and NF-KB p65 [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The inflammatory gene response requires activation of the protein kinase TAK1, but it is currently unknown how TAK1-derived signals coordinate transcriptional programs in the genome. We determined the genome-wide binding of the TAK1-controlled NF-?B subunit p65 in relation to active enhancers and promoters of transcribed genes by ChIP-seq experiments. Out of 35,000 active enhancer regions, 410 H3K4me1-positive enhancers show interleukin (IL)-1-induced H3K27ac and p65 binding. Inhibition of TAK1, IKK2 or depletion of p65 blocked inducible enhancer activation and gene expression. As exemplified by the CXC chemokine cluster located on chromosome 4, the TAK1-p65 pathway also regulates the recruitment kinetics of the histone acetyltransferase CBP, of NF-?B p50 and of AP-1 transcription factors to both, promoters and enhancers. This study provides a high resolution view of epigenetic changes occurring during the IL-1 response and allows the first genome-wide identification of a novel class of inducible p65 NF-?B-dependent enhancers in epithelial cells. Overall design: RNA-seq of KB cells either untreated or treated with IL-1 alpha

Publication Title

The Activation of IL-1-Induced Enhancers Depends on TAK1 Kinase Activity and NF-κB p65.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE15946
Determining lovastatin-induced differences in expression between statin sensitive and insensitive MM cells
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The goals of this study were to determine global differences in transcript expression and regulation between MM cells that are sensitive or insensitive to lovastatin-induced apoptosis. To this end, two sensitive (KMS11 and H929) and two insensitive (LP1 and SKMM1) MM cell lines treated with 20uM lovastatin or an ethanol vehicle control for 16 hours. mRNA was extracted and prepared for mRNA expression microarrays (HG-U133 Plus 2) in triplicate.

Publication Title

Exploiting the mevalonate pathway to distinguish statin-sensitive multiple myeloma.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP079965
Sequential loss of plasticity during trophectoderm and inner cell mass lineage segregation in the mouse embryo
  • organism-icon Mus musculus
  • sample-icon 292 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report the whole transcriptome data of single-cells derived from the early 16-cell stage to the 64-cell stage in the mouse embryo. Overall design: RNA from 262 cells from 36 mouse embryos (16- to 64-cell stage)

Publication Title

Position- and Hippo signaling-dependent plasticity during lineage segregation in the early mouse embryo.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE50081
Validation of a histology-independent prognostic gene signature for early stage, non-small cell lung cancer including stage IA patients
  • organism-icon Homo sapiens
  • sample-icon 178 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Patients with early stage non-small cell lung carcinoma (NSCLC) may benefit from treatments based on more accurate prognosis. A 15-gene prognostic classifier for NSCLC was identified from mRNA expression profiling of tumor samples from the NCIC CTG JBR.10 trial. Here, we assessed its value in an independent set of cases.

Publication Title

Validation of a histology-independent prognostic gene signature for early-stage, non-small-cell lung cancer including stage IA patients.

Sample Metadata Fields

Sex, Age

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accession-icon GSE13155
Comparison of mouse placental labyrinth and human villus tree
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An important question for the use of the mouse as a model for studying human disease is the degree of functional conservation of genetic control pathways from human to mouse. The human placenta and mouse placenta show structural similarities but there has been no systematic attempt to assess their molecular similarities or differences. We built a comprehensive database of protein and microarray data for the highly vascular exchange region micro-dissected from the human and mouse placenta near-term. Abnormalities in this region are associated with two of the most common and serious complications of human pregnancy, maternal preeclampsia (PE) and fetal intrauterine growth restriction (IUGR), each disorder affecting ~5% of all pregnancies.

Publication Title

Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5787
Survey of Intra- and Inter-Tumour Heterogeneity of Gene Expression in Cervical Cancer
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: To explore intratumor heterogeneity in gene expression profiles from patients with cervical cancer.

Publication Title

Gene expression profiling in cervical cancer: an exploration of intratumor heterogeneity.

Sample Metadata Fields

Age, Disease stage

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accession-icon GSE6077
nmyc misexpression in lung (gain of function)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Understanding how lung progenitor cells balance

Publication Title

Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6079
expression comparison of wildtype lungs and hypomorphic for nmyc
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

comparison of expression of wildtype lungs and lungs with hypomorphic expression of nmyc. the lungs were pooled from several biological samples. The hypomorphoic mutant was orignally published in Moens CB et al [PMID: 1577267]. this is part of a larger collection of data comparing nmyc misexpression in the lung (gain of fucntion) and protein expression in the hypomorphic lungs.

Publication Title

Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE60294
The pH-sensing receptor OGR1 improves barrier function of CaCo-2 cells and inhibits migration in an acidic environment
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

OGR1 is a pH-sensing G-protein coupled receptor involved in intestinal homeostasis and inflammation

Publication Title

The pH-sensing receptor OGR1 improves barrier function of epithelial cells and inhibits migration in an acidic environment.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE14814
Prognostic and Predictive Gene Signature for Adjuvant Chemotherapy in Resected Non-Small-Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 133 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Purpose: The JBR.10 trial demonstrated benefit from adjuvant cisplatin/vinorelbine (ACT) in early-stage non-small-cell lung cancer (NSCLC). We hypothesized that expression profiling may identify stage-independent subgroups who might benefit from ACT.

Publication Title

Prognostic and predictive gene signature for adjuvant chemotherapy in resected non-small-cell lung cancer.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
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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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