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accession-icon GSE6786
HeLa cells and MCF10A cells subject to EGF stimulation
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A module of negative feedback regulators defines growth factor signaling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6783
Expression data from HELA cells subject to EGF stimulation
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

HELA cells derived from human cervical tumor were subjected to EGF stimulation for 0,20,40,60,120,240 and 480 minutes.

Publication Title

A module of negative feedback regulators defines growth factor signaling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6784
Expression data from MCF10A cells subject to EGF stimulation
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon

Description

MCF10A cells derived from spontaneously immortalized normal human mammary epithel were subjected to EGF/SERUM stimulation for 0,20,40,60,120,240 and 480 minutes.

Publication Title

A module of negative feedback regulators defines growth factor signaling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP155044
Differential expression data between E15.5 outflow tracts of Gata4 G295S mutant embryos and littermate controls
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

E15.5 embryos were micro-disscted from Gata4 G295S mutant mice and littermate controls, RNA was isolated using Norgen total RNA isolation, and libraries were generated with the RNA TruSeq Stranded Total RNA kit. 50 base pair paired end reads were obtained on an illumina high seq 2500. Fastq files were aligned to the mouse genome using STAR aligner. QC was performed using RNASeQC and RSeQC. BAM files were processed using cufflinks pipeline. Overall design: The project aims to assess the differential gene expression at E15.5 between the outflow tracts of Gata4 G295S mutant embryos and wildtype littermate controls.

Publication Title

Developmental origins for semilunar valve stenosis identified in mice harboring congenital heart disease-associated <i>GATA4</i> mutation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP119033
Notch1 haploinsufficiency causes aortic aneurysms in mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Ascending aortic aneurysms (AscAA) are a life-threatening disease whose molecular basis is poorly understood. Mutations in NOTCH1 have been linked to bicuspid aortic valve (BAV), which is associated with AscAA. Here, we describe a novel role for Notch1 in AscAA. We found that Notch1 haploinsufficiency exacerbated the aneurysmal aortic root dilation seen in the Marfan syndrome mouse model and that heterozygous deletion of Notch1 in the second heart field (SHF) lineage recapitulated this exacerbated phenotype. Lineage tracing analysis showed that loss of Notch1 in the SHF reduces the number of SHF-derived smooth muscle cells in the aortic root, and RNA-seq analysis demonstrated distinct in vivo expression patterns between lineage-specific regions of the ascending aorta. Finally, Notch1+/- mice in a predominantly 129S6 background develop aortic root dilation, indicating that loss of Notch1 independently predisposes to AscAA. These findings are the first to demonstrate a SHF lineage-specific role for Notch1 in AscAA and suggest that genes linked to the development of BAV may also contribute to the associated aortopathy. Overall design: To determine why dilation was localized to the aortic root in Notch1.129S6+/- mice, RNA-sequencing was performed on proximal and distal ascending aortic tissue from Notch1.129S6+/- mice and wildtype littermates at 2 months of age. Transcriptome analysis was utilized to better understand why the dilation was localized to the aortic root. Hierarchical cluster analysis grouped these samples based on location first and then genotype, and showed that cells of the proximal and distal ascending aorta have distinct gene expression patterns in vivo.

Publication Title

Notch1 haploinsufficiency causes ascending aortic aneurysms in mice.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE16779
Undifferentiated Pleomorphic Sarcoma Model
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Analysis of undifferentiated pleomorphic sarcoma/malignant fibrous histiocytoma-like tumors from LSL-KrasG12D, p53Fl/Fl mouse model of soft tissue sarcoma.

Publication Title

Cross species genomic analysis identifies a mouse model as undifferentiated pleomorphic sarcoma/malignant fibrous histiocytoma.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP097979
Next Generation Sequencing of Gene expression changes in U2OS osteosarcoma cells with PML silencing
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

We used next generation sequencing to analyze the gene expression changes in U2OS osteosarcoma cells expressing shRNA targeting the promyelocytic leukemia (PML) gene transcripts Overall design: cDNA libraries of U2OS cells expressing control shRNA or shRNA targeting PML were generated from one biological replicate

Publication Title

PML nuclear bodies contribute to the basal expression of the mTOR inhibitor DDIT4.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE4695
Changes in gene expression in dermal fibroblasts following exposure to Et1 peptide
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To determine if aberrant activation of endothelin-1 (Et1) could lead to the dysregulation of many downstream genes, we exposed fibroblasts to exogenous ET1 peptide and assayed for transcriptional changes by microarray. Mouse dermal fibroblasts were treated with exogenous Et1 peptide for 24 hours. ET1 treatment resulted in significant expression changes primarily downregulation of a number of genes. In particular, Tgf2 and Tgf3 were among the downregulated genes, which in turn alter the expression status of their many target genes. These data suggest that the stable silencing of Et1 is important for the phenotypic stability of dermal fibroblasts, and perhaps many other cell types as well.

Publication Title

Localized methylation in the key regulator gene endothelin-1 is associated with cell type-specific transcriptional silencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP068057
Transcriptional profiles of human blood dendritic cell (DC) subsets at steady state
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Innate sensing of viruses by dendritic cells (DCs) is critical for the initiation of anti-viral adaptive immune responses. Virus, however, have evolved to suppress immune activation in infected cells. We now analyze the susceptibility of different populations of dendritic cells to viral infections. We find that circulating human CD1c+ DCs support infection by HIV and influenza virus. Viral infection of CD1c+ DCs is essential for virus-specific CD8+ T cell activation and cytosolic sensing of the virus. In contrast, circulating human CD141+ DCs and pDCs constitutively limit viral fusion. The small GTPase RAB15 mediates this differential viral resistance in DC subsets through selective expression in CD141+ DCs and pDCs. Therefore, dendritic cell sub-populations evolved constitutive resistance mechanisms to mitigate viral infection during induction of antiviral immune response. Overall design: Examination of transcriptional profiles in 4 DC subsets purified from 3 donors using RNASeq

Publication Title

Constitutive resistance to viral infection in human CD141<sup>+</sup> dendritic cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP070835
Transcriptomes of individual substantia nigra pars reticulata neurons
  • organism-icon Mus musculus
  • sample-icon 320 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Certain neuron types fire spontaneously at high rates, an ability that is crucial for their function in brain circuits. The spontaneously active GABAergic neurons of the substantia nigra pars reticulata (SNr), a major output of the basal ganglia, provide tonic inhibition of downstream brain areas. A depolarizing "leak" current supports this firing pattern, but its molecular basis remains poorly understood. To understand how SNr neurons maintain tonic activity, we used single-cell RNA sequencing to determine the transcriptome of individual SNr neurons. We discovered that SNr neurons express the sodium leak current, NaLCN and that SNr neurons lacking NaLCN have impaired spontaneous firing. Overall design: RNA sequencing profiles from 87 GFP-positive GABAergic SNr neurons and 9 GFP-negative SNr cells were carried out. However only 80 samples that passed initial quality control and that were included in the data processing are represented in this record.

Publication Title

The leak channel NALCN controls tonic firing and glycolytic sensitivity of substantia nigra pars reticulata neurons.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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