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accession-icon SRP092132
Metformin RNA-seq
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptomic response to metfromin treatment.

Publication Title

Genomic Characterization of Metformin Hepatic Response.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE67644
Cerebral gene expression changes in Pdgfc and Pdgfra mutant
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Platelet-derived growth factor-C (PDGF-C) is one of three known ligands for the tyrosine kinase receptor PDGFR. Analysis of Pdgfc null mice has demonstrated roles for PDGF-C in palate closure and the formation of cerebral ventricles, but redundancy with other PDGFR ligands might hide additional functions. In search of further developmental roles for PDGF-C, we generated mice that were double mutants for Pdgfc -/- and Pdgfra GFP/+. These mice display a range of severe phenotypes including cerebellar malformation, neuronal over-migration in the cerebral cortex, spina bifida and lung emphysema. We focused our analysis on the central nervous system (CNS), where PDGF-C was identified as a critical factor for the formation of meninges and assembly of the glia limitans basement membrane.

Publication Title

A role for PDGF-C/PDGFRα signaling in the formation of the meningeal basement membranes surrounding the cerebral cortex.

Sample Metadata Fields

Specimen part

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accession-icon GSE60690
Gene Expression in Transformed Lymphocytes Reveals Phenotype-Modifying Pathways in Cystic Fibrosis
  • organism-icon Homo sapiens
  • sample-icon 754 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Heritable genetic variants modify cystic fibrosis (CF) clinical phenotypes, e.g., lung disease, age-of-onset of persistent Pseudomonas aeruginosa (P. aeruginosa), and meconium ileus (MI). Previous genome wide association studies (GWAS) have begun to inform the genetic architecture of CF phenotypes. Analyses of gene expression will complement GWAS, as demonstrated by analyses of gene expression in lymphoblastoid cell lines (LCLs) to identify disease-related pathophysiological processes for non-CF complex traits. In this study, global gene expression was measured in RNA from LCLs from 754 CF patients and analyzed for association with lung disease severity, age-of-onset of persistent P. aeruginosa pulmonary infection, and MI at birth. Each phenotype displayed distinct expression associations. Most pathways significantly associated with lung disease were related to membranes, vesicle traffic, and Golgi/endoplasmic reticulum (ER). Pathways containing HLA genes (Class I and II) were significantly associated with both lung and P. aeruginosa phenotypes, but they displayed qualitative differences between phenotypes. MI associated with pathways involving oxidative phosphorylation. The results support the concept that gene expression associated with heritable variation acts to modify phenotypes in CF.

Publication Title

Gene expression in transformed lymphocytes reveals variation in endomembrane and HLA pathways modifying cystic fibrosis pulmonary phenotypes.

Sample Metadata Fields

Sex

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accession-icon GSE31737
cis-Expression QTL Analysis of Established Risk Variants for Colorectal Cancer
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Genome-wide association studies (GWAS) have identified 19 risk variants associated with colorectal cancer. As most of these risk variants reside outside the coding regions of genes, we conducted cis-expression quantitative trait loci (cis-eQTL) analyses to investigate possible regulatory functions on the expression of neighboring genes.

Publication Title

cis-Expression QTL analysis of established colorectal cancer risk variants in colon tumors and adjacent normal tissue.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE51480
PAB/WT polysome loading and transcript levels (Arabidopsis thaliana)
  • organism-icon Arabidopsis thaliana
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To understand the contribution of the poly(A)binding protein to the translation of specific mRNAs, we compared the ribosome occupancy of mRNAs in wild type Arabidopsis and pab2 pab8 double mutant seedlings. The mutants continue to express the PAB4 paralog of PABP.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Specimen part

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accession-icon GSE51474
rpl24b/WT polysome loading and transcript levels (Arabidopsis thaliana)
  • organism-icon Arabidopsis thaliana
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To understand the contribution of the RPL24B protein, a component of the large 60S ribosomal subunit, to the translation of specific mRNAs, we compared the ribosome occupancy of mRNAs in wild type Arabidopsis and the rpl24b/stv1-1 T-DNA insertion mutant.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Specimen part

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accession-icon GSE28224
eif3k/WT polysome loading and transcript levels
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE28223
eif3k/WT polysome loading
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To understand the contribution of the k subunit of eukaryotic transcription factor 3 (eif3k) to the translation of specific mRNAs, we compared the polysome loading states and overall transcript levels of wild type Arabidopsis and the eif3k T-DNA insertion mutant by Affymetrix arrays.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE28222
eif3k/WT transcript levels
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To understand the contribution of the k subunit of eukaryotic transcription factor 3 (eif3k) to the translation of specific mRNAs, we compared the polysome loading states and overall transcript levels of wild type Arabidopsis and the eif3k T-DNA insertion mutant by Affymetrix arrays.

Publication Title

The global translation profile in a ribosomal protein mutant resembles that of an eIF3 mutant.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE55849
Simultaneous Host-Pathogen transcriptome analysis during Granulibacter bethesdensis infection of normal and chronic granulomatous disease neutrophils
  • organism-icon Homo sapiens, Granulibacter bethesdensis
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Polymorphonuclear leukocytes (PMN) from patients with chronic granulomatous disease (CGD) fail to produce microbicidal concentrations of reactive oxygen species due to mutations in NOX2. Patients with CGD suffer from severe, life-threatening infections and inflammatory complications. Granulibacter bethesdensis is an emerging Gram-negative pathogen in CGD that resists killing by CGD PMN and inhibits PMN apoptosis through unknown mechanisms. Microarray analysis was used to study mRNA expression in normal and CGD PMN during incubation with G. bethesdensis and, simultaneously, in G. bethesdensis with normal and CGD PMN. We detected upregulation of anti-apoptotic genes (e.g., XIAP, GADD45B) and downregulation of pro-apoptotic genes (e.g., CASP8, APAF1) in infected PMN. Transcript and protein levels of inflammation and immunity-related genes were also altered. Upon interaction with PMN, G. bethesdensis altered expression of ROS-resistance genes in the presence of normal but not CGD PMN. Bacterial stress response genes, including ClpB, increased during phagocytosis by both normal and CGD PMN demonstrating responses to oxygen-independent PMN antimicrobial systems. Antisense knock down demonstrated that ClpB is dispensable for extracellular growth but is essential for bacterial resistance to both normal and CGD PMN. Metabolic adaptation of Granulibacter growth in PMN included upregulation of pyruvate dehydrogenase. Pharmacologic inhibition of pyruvate dehydrogenase by triphenylbismuthdichloride was lethal to Granulibacter. This study expands knowledge of microbial pathogenesis by Granulibacter in cells from permissive (CGD) and non-permissive (normal) hosts and identifies potentially druggable microbial factors, such as pyruvate dehydrogenase and ClpB, to help combat this antibiotic-resistant pathogen.

Publication Title

Simultaneous Host-Pathogen Transcriptome Analysis during Granulibacter bethesdensis Infection of Neutrophils from Healthy Subjects and Patients with Chronic Granulomatous Disease.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Time

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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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