refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 559 results
Sort by

Filters

Technology

Platform

accession-icon GSE11493
Comparison of transcripts in zebrafish tumors
  • organism-icon Danio rerio
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

The goal of this experiment was to compare the genes expressed in malignant peripheral nerve sheath tumors (MPNSTs) that arise in zebrafish as a result of homozygous mutation of the p53 gene or heterozygous mutation of several different ribosomal protein (rp) mutations. Since MPNSTs arise very rarely in wild type zebrafish, it seemed a possibility that p53 and rps may in fact be functioning in similar pathways. The tumors arising from the different mutations had been previously classified as similar by histology, thus the goal of the array experiments was to establish if any molecular signatures could be found that could delineate the p53 from the rp MPNSTs.

Publication Title

Loss of p53 synthesis in zebrafish tumors with ribosomal protein gene mutations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE47495
Transcriptional profiling of left ventricle and peripheral blood cells in rats with post-myocardial infarction
  • organism-icon Rattus norvegicus
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Myocardial infarction (MI) often results in left ventricular (LV) remodeling followed by heart failure (HF). It is of great clinical importance to understand the molecular mechanisms that trigger transition from compensated LV injury to HF and to identify relevant diagnostic biomarkers. In this study, we performed transcriptional profiling of LVs in rats with a wide range of experimentally induced infarct sizes and of peripheral blood mononuclear cells (PBMCs) in animals that developed HF.

Publication Title

Transcriptional profiling of left ventricle and peripheral blood mononuclear cells in a rat model of postinfarction heart failure.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE35427
Transcriptional response to soybean aphid infestation in susceptible and resistant soybean plants
  • organism-icon Glycine max
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Soybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines.

Publication Title

Multiple phytohormone signals control the transcriptional response to soybean aphid infestation in susceptible and resistant soybean plants.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE17067
A quantitative model of transcription regulation reveals the role of non-conserved enhancers
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We identify sites of combinatorial control by performing high throughput ChIP experiments on p300, CREB-binding protein (CBP), the deacetylase SIRT1 and on multiple DNA-binding transcription factors in three different tissues. We present a quantitative model of transcriptional regulation that reveals the contribution of each binding site to tissue-specific gene expression in several mouse cell types. Binding to both evolutionarily conserved and non-conserved sequences is found to contribute significantly to transcriptional regulation. We demonstrate that binding location strongly predicts the expression level of nearby genes.

Publication Title

A quantitative model of transcriptional regulation reveals the influence of binding location on expression.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE17784
Gene expression in FACS-purified cortical projection neurons
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Expression 430A Array (moe430a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Novel subtype-specific genes identify distinct subpopulations of callosal projection neurons.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE17783
Analysis of gene expression in FACS-purified cortical projection neurons using Affymetrix 430 2.0 microarrays
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

3 subtypes of cortical projection neurons were purified by fluorescence-activated cell sorting (FACS) at 4 different stages of development from mouse cortex. A detailed description of the data set is described in Arlotta, P et al (2005) and Molyneaux, BJ et al (2009). The hybridization cocktails used here were originally applied to the Affymetrix mouse 430A arrays and submitted as GEO accession number GSE2039. The same hybridization cocktails were then applied to the Affymetrix mouse 430 2.0 arrays, and those data are contained in this series.

Publication Title

Novel subtype-specific genes identify distinct subpopulations of callosal projection neurons.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE3541
DNA microarray reveals novel genes induced by mechanical forces in fetal lung type II epithelial cells
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Mechanical forces are essential for normal fetal lung development. However, the cellular and molecular mechanisms regulating this process remain largely unknown. In the present study, we used oligonucleotide microarray technology to investigate gene expression profile in cultured E19 rat fetal lung type II epithelial cells exposed to a level of mechanical strain similar to that observed in utero. Significance Analysis of Microarrays (SAM) identified 92 genes differentially expressed by strain. Interestingly, several members of the solute carrier family of amino acid transporters, genes involved in amino acid synthesis and development, and amiloride-sensitive epithelial sodium channel gene were induced by strain. These results were confirmed by quantitative real-time polymerase chain reaction (qRT-PCR). Thus, this study identifies genes induced by strain that may be important for amino acid signaling pathways, protein synthesis and development in fetal type II cells. In addition, these data suggest that mechanical forces may contribute to facilitate lung fluid reabsorption in preparation for birth. Taken together, the present investigation provides further insights into how mechanical forces may modulate fetal lung development.

Publication Title

DNA microarray reveals novel genes induced by mechanical forces in fetal lung type II epithelial cells.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE14834
Characterization of B- and T-lineage ALL by Integrated Analysis of microRNA and mRNA Expression Profiles
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute lymphoblastic leukemia (ALL) is an heterogeneous disease comprising several subentities that differ for both immunophenotypic and molecular characteristics. Over the years, the biologic understanding of this neoplasm has largely increased. Gene expression profiling has recently allowed to identify specific signatures for the different ALL subsets and permitted identification of pathways deregulated by a given lesion. MicroRNAs (miRNAs) are small non-coding RNAs which play a pivotal role in several cellular functions. In this study, we investigated miRNA and gene expression profiles in a series of adult ALL cases by microarray analysis and combined them by bioinformatic analysis. Interestingly, those miRNAs which are differentially expressed between the ALL classes accounted for a large proportion of miRNA/mRNA expression pairs identified by the above analysis. Moreover, the analysis highlighted several putative miRNA targets involved in apoptosis and cell-cycle regulation.

Publication Title

Characterization of B- and T-lineage acute lymphoblastic leukemia by integrated analysis of MicroRNA and mRNA expression profiles.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE26290
Expression data from control and Phospholipid dependent kinase 1 (PDK1) null cytotoxic T-lymphocytes (CTL) and from control and Akt inhibitor treated CTL
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In cytotoxic T cells (CTL), Protein Kinase B /Akt is activated by the T cell antigen receptor (TCR) and the cytokine Interleukin 2 (IL2), in part by phosophorylation of Akt by Phospholipid dependent kinase 1 (PDK1).

Publication Title

Protein kinase B controls transcriptional programs that direct cytotoxic T cell fate but is dispensable for T cell metabolism.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE59867
Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure
  • organism-icon Homo sapiens
  • sample-icon 436 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Heart failure (HF) is the most common cause of morbidity and mortality in the developed countries, especially considering the present demographic tendencies in those populations.

Publication Title

Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure.

Sample Metadata Fields

Specimen part

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