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accession-icon GSE2866
Donarum-3R01NS040270-03S1
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Succinate semialdehyde dehydrogenase (SSADH) deficiency is a rare autosomal recessive disorder effecting approximately 350 people around the world. Patients suffering from SSADH deficiency experience language acquisition failure, memory deficiencies, autism, increased aggressive behaviors, and seizures. There is a chemical buildup of both gamma-aminobutyric acid (GABA) and gamma-hydroxybutyric acid (GHB) in the neurological system of these patients. The Aldh5a1-/- knock out mouse model of SSADH deficiency shows the same chemical imbalances as the human disease, with additional fatal tonic-clonic seizures at three weeks of age. The elucidation of seizure causing pathways will facilitate treatment of seizure phenotypes in diseases with related epilepsy.

Publication Title

Expression profiling reveals multiple myelin alterations in murine succinate semialdehyde dehydrogenase deficiency.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP021459
Detection of small RNAs generated during early infection of human HEK 293 cells by the alphavirus Sindbis virus
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

A time course of infection of the alphavirus Sindbis virus (SINV) was used to investigate the presence of viral specific vsRNA and the changes in miRNAs profiles in human embryonic kidney 293 cells (HEK293) by high throughput DNA sequencing. Deep sequencing of small RNAs early in SINV infection (4 and 6 hpi) showed low abundance (0.8%) of viral specific RNAs (vsRNAs) , with a random uniform distribution not typical of Dicer products, suggesting they arise from non-specific degradation. Sequencing showed little variation of cellular microRNAs (miRNAs) at 4 and 6 hpi compared to uninfected cells. Twelve miRNAs exhibiting some minor differential expression by sequencing, showed insignificant modulation by Northern blot analysis. Overall design: RNA was isolated from mock infected and SINV inoculated HEK 293 cells at 4hpi and 6hpi cDNA libraries were generated for the small RNA (sRNA) content of the cells and sequenced using Illumina GA II, which yielded between 29.1M and 30.5M reads per sample

Publication Title

Small RNA analysis in Sindbis virus infected human HEK293 cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP109109
Epidermal Wnt signaling regulates transcriptome heterogeneity and proliferative fate in neighboring cells
  • organism-icon Mus musculus
  • sample-icon 278 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We performed single-cell mRNA-Seq on wild-type mouse keratinocytes co-cultured with keratinocytes in which beta-catenin was activated. We identified seven distinct cell states in cultures that had not been exposed to the beta-catenin stimulus. Using temporal single-cell analysis we reconstruct the cell fate changes induced by neighbor Wnt activation. Gene expression heterogeneity was reduced in neighboring cells and this effect was most dramatic for protein synthesis associated genes. The changes in gene expression were accompanied by a shift from a quiescent to a more proliferative stem cell state. By integrating imaging and reconstructed sequential gene expression changes during the state transition we identified transcription factors, including Smad4 and Bcl3, that were responsible for effecting the transition in a contact-dependent manner. Our data indicate that non cell autonomous Wnt/beta-catenin signaling decreases transcriptional heterogeneity and further our understanding of how epidermal Wnt signaling orchestrates regeneration and self-renewal. Overall design: Comparison of cells exposed to Wnt activated neighbors versus unactivated.

Publication Title

Epidermal Wnt signalling regulates transcriptome heterogeneity and proliferative fate in neighbouring cells.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE19355
Silencing of mrhl non coding RNA in mouse spermatoginial cells GC1-Spg
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mrhl is a non coding RNA identified from mouse chromosome 8. It is a 2.4kb poly adenylated, nuclear restricted RNA expressed in multiple tissues. The 2.4 kb RNA also undergoes a nuclear processing event mediated through Drosha that generates an 80nt intermediate RNA. This study was aimed at understanding the functiion of mrhl by silencing the mrhl RNA in the mouse spermatogonial cells using a pool of siRNAs targeted against the mrhl and analyse the global gene expression change using Affymetrix mouse expression array. The mRNAs that showed significant change in expression in mrhl siRNA treated cells against control were studied further for their biological significance with respect to mrhl silencing.

Publication Title

mrhl RNA, a long noncoding RNA, negatively regulates Wnt signaling through its protein partner Ddx5/p68 in mouse spermatogonial cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP060567
Mechano-sensitive Gene Expression with RNA-Seq: Revisiting the Osteocytic Cell Response to Fluid Flow
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Bone adaptation to mechanical loading is regulated via signal transduction by mechano-sensing osteocytes. Mineral-embedded osteocytes experience strain-induced interstitial fluid flow and fluid shear stress, and broad shifts in gene expression are key components in the signaling pathways that regulate bone turnover. RNA sequencing analysis, or RNA-Seq, enables more complete characterization of mechano-sensitive transcriptome regulation than previously possible. We hypothesized that RNA-Seq of osteocytic MLO-Y4 cells reveals both expected and novel gene transcript regulation in cells previously fluid flowed and analyzed using gene microarrays (Govey et al., J Biomech, 2014). MLO-Y4 cells were flowed for 2 h with 1 Pa oscillating fluid shear stress and post-incubated 2 h. RNA-Seq of original samples detected 58 fluid flow-regulated gene transcripts (p-corrected<0.05) versus 65 transcripts detected by microarray. However, RNA-Seq demonstrated greater dynamic range, with all 58 transcripts >1.5 fold-change whereas 10 of 65 met this cut-off by microarray. Analyses were complimentary in patterns of regulation, though only 6 transcripts were significant in both analyses: Cxcl5, Cxcl1, Zc3h12a, Ereg, Slc2a1, and Egln1. As part of a broad inflammatory response inferred by gene ontology analyses, we again observed greatest up-regulation of inflammatory C-X-C motif chemokines, and newly implicated HIF-1? and AMPK signaling pathways. Importantly, we detected both expected mechano-sensitive transcripts (e.g. Nos2, Ptgs2, Ccl7) and transcripts not previously identified as mechano-sensitive, e.g. Ccl2. We found RNA-Seq advantageous over microarrays because of its ability to analyze unbiased estimation of gene expression, informing our understanding of osteocyte signaling. Overall design: Osteocyte-like MLO-Y4 cells were subjected to 2 hours of 10 dyn/cm^2 oscillating fluid flow in parallel-plate fluid flow chambers and harvested for analysis after an additional 2 hours post-flow incubation in fresh medium. Parallel control samples from sham treated cells were also collected. Triplicate samples of both flow and non-flow control conditions were collected to analyze flow vs. non-flow gene transcript regulation.

Publication Title

Functional and structural characterization of osteocytic MLO-Y4 cell proteins encoded by genes differentially expressed in response to mechanical signals in vitro.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP077671
Myc and YAP roles in the control of the cell cycle [3T9 RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNAseq analysis of YAP and Myc induced in quiescent and confluent 3T9 fibroblasts Overall design: RNAseq analysis of YAP and Myc induced in quiescent and confluent 3T9 fibroblasts

Publication Title

Transcriptional integration of mitogenic and mechanical signals by Myc and YAP.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE18892
Silencing of AEBP1 in U87MG glial cells and Chip-chIP with AEBP1 antibody
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

AEBP1 has been identified as a transcriptional repressor playing a

Publication Title

Identification of genomic targets of transcription factor AEBP1 and its role in survival of glioma cells.

Sample Metadata Fields

Cell line

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accession-icon GSE76652
Silencing of ASCL1 in U87MG glioma cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ASCL1 is known to act as transcriptional activator of notch signaling pathway. We have found that ASCL1 is over expressed in secondary glioblastoma.

Publication Title

System analysis identifies distinct and common functional networks governed by transcription factor ASCL1, in glioma and small cell lung cancer.

Sample Metadata Fields

Cell line

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accession-icon SRP042031
Modulation of the TNF-induced macrophage response by synovial fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Here we explored how the human macrophage response to tumor necrosis factor (TNF) is regulated by human synovial fibroblasts, the representative stromal cell type in the synovial lining of joints that become activated during inflammatory arthritis. Genome-wide transcriptome analysis (RNAseq) showed that co-cultured synovial fibroblasts modulate the expression of approximately one third of TNF-inducible genes in macrophages, including expression of target genes in pathways important for macrophage survival and polarization towards an alternatively activated phenotype. This work furthers our understanding of the interplay between innate immune and stromal cells during an inflammatory response, one that is particularly relevant to inflammatory arthritis. Our findings also identify modulation of macrophage phenotype as a new function for synovial fibroblasts that may prove to be a contributing factor in arthritis pathogenesis. Overall design: Human CD14+ MCSF-differentiated macrophages were cultured with or without synovial fibroblasts in transwell chambers. TNF was added at Day 0, macrophages were harvested at Day 2. Total of 4 samples: (1) macrophages alone (2) macrophages with fibroblasts (3) macrophages with TNF (4) macrophages with fibroblasts and TNF. Macrophage RNA was purified using RNeasy mini kit (Qiagen). Tru-seq sample preparation kits (Illumina) were used to purify poly-A transcripts and generate libraries with multiplexed barcode adaptors. All samples passed quality control on a Bioanalyzer 2100 (Agilent). Paired-end reads (50 x 2 cycles, ~75x106 reads per sample) were obtained on an Illumina HiSeq 2500. The TopHat program was used to align the reads to the UCSC Hg19 human reference genome, while the Cufflinks program allowed for measurements of transcript abundance (represented by Fragments Per Kilobase of exon model per Million mapped reads (FPKM)).

Publication Title

Modulation of TNF-induced macrophage polarization by synovial fibroblasts.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE57728
Expression data from AsPC1 cells treated with ICG-001
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The CREB binding protein inhibitor ICG-001 suppresses pancreatic cancer growth

Publication Title

The CREB-binding protein inhibitor ICG-001 suppresses pancreatic cancer growth.

Sample Metadata Fields

Cell line, Treatment

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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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