refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 231 results
Sort by

Filters

Technology

Platform

accession-icon GSE15287
Transcriptomic computational analysis of mastic oil-treated Lewis lung carcinomas
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina Mouse Ref-6 V1

Description

Mastic oil from Pistacia lentiscus variation chia, a blend of bioactive terpenes with recognized medicinal properties, has been recently shown to exert anti-tumor activity. Lewis lung carcinoma (LLC) cells are mastic oil-susceptible cells and were used in this work to study the effects of mastic oil at the transcriptomic level.

Publication Title

A transcriptomic computational analysis of mastic oil-treated Lewis lung carcinomas reveals molecular mechanisms targeting tumor cell growth and survival.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE59485
Expression data from bovine nucleus pulposus interverteral disc cells
  • organism-icon Bos taurus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Assessment of the putative differential gene expression profiles in high osmolality-treated bovine nucleus pulposus intervertebral disc cells for a short (5 h) and a long (24 h) time period. Identification of novel genes up- or down-regulated as an early or a late response to hyperosmotic stress.

Publication Title

Deficiency in the α1 subunit of Na+/K+-ATPase enhances the anti-proliferative effect of high osmolality in nucleus pulposus intervertebral disc cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE75588
Transcriptomic analysis of Human Umbilical Vein Endothelial Cells (HUVEC) in response to compound treatment
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Human Umbilical Vein Endothelial Cells were treated with three newly synthesized compounds and DMSO as vehicle. Total RNA was isolated 6 and 24h after treatment and gene expression analysis was performed. Three independent experiments were performed, corresponding to rep1, rep2 and rep3. Experiment 1 (rep1) contained all substances at both time points tested. Experiment 2 (rep2) contained two of the compounds and control DMSO at both time points. Experiment 3 (rep3) contained the third compound and control DMSO at both time points.

Publication Title

Novel pyrazolopyridine derivatives as potential angiogenesis inhibitors: Synthesis, biological evaluation and transcriptome-based mechanistic analysis.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE110225
Expression data from 30 patients with colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE110224
Expression data from 17 patients with colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

Colorectal cancer is a highly heterogeneous disease, with variable molecular pathogenesis, involving multiple genomic and epigenetic alterations. Despite the significant advances in the diagnosis and treatment of colorectal cancer, it remains a major cause of morbidity and mortality, especially for countries in Northern America and Europe, as also in New Zealand & Australia. In this direction, the introduction of gene expression signatures derived from multiple layers of molecular & clinical dissection, may resolve the problems of heterogeneity and improve robust disease stratification

Publication Title

Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE110223
Expression data from 13 patients with colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Colorectal cancer is a highly heterogeneous disease, with variable molecular pathogenesis, involving multiple genomic and epigenetic alterations. Despite the significant advances in the diagnosis and treatment of colorectal cancer, it remains a major cause of morbidity and mortality, especially for countries in Northern America and Europe, as also in New Zealand & Australia. In this direction, the introduction of gene expression signatures derived from multiple layers of molecular & clinical dissection, may resolve the problems of heterogeneity and improve robust disease stratification.

Publication Title

Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP065840
Genetic Diversity Through RNA Editing: Apobec1-mediated RNA editing in bulk and single cell macrophages and dendritic cells
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA editing is a mutational mechanism that specifically alters the nucleotide content in sets of transcripts while leaving their cognate genomic blueprint intact. Editing has been detected from bulk RNA-seq data in thousands of distinct transcripts, but apparent editing rates can vary widely (from under 1% to almost 100%). These observed editing rates could result from approximately equal rates of editing within each individual cell in the bulk sample, or alternatively, editing estimates from a population of cells could reflect an average of distinct, biologically significant editing signatures that vary substantially between individual cells in the population. To distinguish between these two possibilities we have constructed a hierarchical Bayesian model which quantifies the variance of editing rates at specific sites using RNA-seq data from both single cells and a cognate bulk sample consisting of ~ 106 cells. The model was applied to data from murine bone-marrow derived macrophages and dendritic cells, and predicted high variance for specific edited sites in both cell types tested. We then 1 validated these predictions using targeted amplification of specific editable transcripts from individual macrophages. Our data demonstrate substantial variance in editing signatures between single cells, supporting the notion that RNA editing generates diversity within cellular populations. Such editing-mediated RNA-level sequence diversity could contribute to the functional heterogeneity apparent in cells of the innate immune system. Overall design: 26 samples were subjected to RNA-seq: 24 single WT macrophages, and 2 bulk samples (Apobec1 WT and KO macrophages), consisting of 500,000-1 million cells each.

Publication Title

RNA editing generates cellular subsets with diverse sequence within populations.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE139601
Transcriptomic profiling of the white adipose tissue (WAT) in ApoE3L.CETP mice fed a high fat diet (HFD) or a low fat diet (LFD) for three different time periods, or chow diet at baseline
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The metabolic syndrome (MetS) is characterized by the presence of metabolic abnormalities that include abdominal obesity, dyslipidemia, hypertension, increased blood glucose/insulin resistance, hypertriglyceridemia and increased risk for cardiovascular disease (CVD). The ApoE*3Leiden.human Cholesteryl Ester Transfer Protein (ApoE3L.CETP) mouse model manifests several features of the MetS upon high fat diet (HFD) feeding. Moreover, the physiological changes in the white adipose tissue (WAT) contribute to MetS comorbidities. The aim of this study was to identify transcriptomic signatures in the gonadal WAT of ApoE3L.CETP mice in discrete stages of diet-induced MetS.

Publication Title

Transcriptome analysis of the adipose tissue in a mouse model of metabolic syndrome identifies gene signatures related to disease pathogenesis.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP064115
Dual function of Med12 in PRC1-dependent gene repression and ncRNA-mediated transcriptional activation
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Mediator is regarded a general co-activator of RNA-Polymerase II dependent transcription but not much is known about its function and regulation in mouse pluripotent embryonic stem cells (mESC). One means of controlling Mediator function is provided by binding of the Cdk8 module (Med12, Cdk8, Ccnc and Med13) to Mediator. Here we report that the Cdk8 module subunit Med12 operates together with PRC1 to silence developmental key genes in the pluripotent state. At the molecular level, PRC1 is required to assemble ncRNA containing Med12-Mediator complexes at promoters of repressed genes. In the course of cellular differentiation the H2A-ubiquitin binding protein Zrf1 abrogates PRC1-Med12 binding and facilitates the recruitment of Cdk8 into Mediator. Remodeling of the Mediator-associated protein complex converts Mediator into a transcriptional enhancer that mediates ncRNA-dependent activation of Polycomb target genes Overall design: RNAseq of pluripotent (control, shNMC, shRing1b, shMed12, shCdk8, shZrf1) and early differentiating (control, shNMC, shMed12, shCdk8, shZrf1) stem cells in triplicates. Control would be normal E14TG2A mESCs. shNMC refers to E14TG2A cells stably transfected with a short hairpin that has no mammalian targets (Non Mammalian Control). All the other samples are indeed stably transfected with short hairpins against the indicated genes.

Publication Title

Dual role of Med12 in PRC1-dependent gene repression and ncRNA-mediated transcriptional activation.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE107859
Transcriptomic analysis of glioblastoma cells bearing different IRE1a mutants
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Glioblastoma multiforme is the most lethal form of glioma with an overall survival at 5 years nearly null, which mainly results from acquired resistance to therapies. Large scale sequencing studies on human cancer biopsies defined IRE1alpha as the fifth most oncogenic mutated kinase in human cancer. IRE1alpha is a major component of the Unfolded Protein Response signaling and increasing evidence suggests that it is a central player in GBM development.

Publication Title

Dual IRE1 RNase functions dictate glioblastoma development.

Sample Metadata Fields

Specimen part, Cell line

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