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accession-icon GSE137557
Expression data from airway basal cells and mucociliary-differentiated epithelium of COPD patients and normal subjects
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Continuous stress caused by smoking induces changes in the cell population of small airway epithelium, with basal cell hyperplasia and goblet cell metaplasia at the expense of ciliated cells, and there is now compiling evidence that basal cells play a key role in the early pathogenesis of Chronic Obtructive Pulmonary Disease (COPD).

Publication Title

Microarray analysis identifies defects in regenerative and immune response pathways in COPD airway basal cells.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE138660
Ets1 confers context-dependent activation of Notch signaling in T-cell leukemia
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Combinatorial ETS1-dependent control of oncogenic NOTCH1 enhancers in T-cell leukemia.

Sample Metadata Fields

Sex, Specimen part, Disease, Cell line

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accession-icon GSE138803
Expression data from the HPB-ALL T-ALL cell line transduced with shETS1
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To formally address the biological activity of ETS1 in vitro, we measured the transcriptional effect of ETS1 knock down by transducing HPB-ALL leukemia cell lines with a plKO - shETS1 and plko shLUC control. Samples were hybridized to Affymetrix Human Genome U133 Plus 2.0 arrays. Log2 abundance estimates were obtained using gcrma package of Bioconductor, which is a version of the Robust Multi-Array Average (RMA) algorithm. We provide a supplementary file with gene annotation, which performs a two-sample T-test and computes an average fold-change.

Publication Title

Combinatorial ETS1-dependent control of oncogenic NOTCH1 enhancers in T-cell leukemia.

Sample Metadata Fields

Sex, Cell line

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accession-icon GSE17904
Whole genome analysis of Sertoli cell gene expression by retinoblastoma-1
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of the regulation of gene expression profiles by retinoblastoma-1 in Sertoli cells. Conditional knockout of Rb1 in Sertoli cells led to progressive infertiliy in male mice that occured between 10 and 14 weeks of age. Results of gene expression studies performed on 6 week-old purified Sertoli cells helped elucidate the key role of RB1 in mature, differentiated Sertoli cells.

Publication Title

Retinoblastoma protein plays multiple essential roles in the terminal differentiation of Sertoli cells.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE51464
An epigenetic basis for lateral inhibition and lineage plasticity in intestinal differentiation
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Broadly permissive intestinal chromatin underlies lateral inhibition and cell plasticity.

Sample Metadata Fields

Specimen part

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accession-icon SRP062014
Acquired tissue-specific promoter bivalency is a basis for PRC2 necessity in adult somatic cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon

Description

To define H3K27me3 modified genes in intestinal stem, progenitor and epithelial cells, we performed chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-Seq). We used RNA-sequencing to profile gene expression changes during intestinal stem cell differentiation into mature villus cells, as well as genes perturbed upon loss of PRC2 activity (deletion of Eed) . We find thousands of genes that change in expression including many H3K27me3 marked genes. The deregulated genes reaveal a intestinal tissue specific role of PRC2. Overall design: H3K27me3, H3K4me2 and RNA Pol2 ChIP-Seq analysis of isolated mouse intestinal stem cells, enterocyte and secretory progenitor cells, and mature villus cells. RNA seq analysis of control mouse villus cells, control intestinal stem cells and Eed-deleted villus.

Publication Title

Acquired Tissue-Specific Promoter Bivalency Is a Basis for PRC2 Necessity in Adult Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37695
Poly(A) RNA profiling upon Gld2 knockdown in cultured hippocampal neurons
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Poly(A) RNA profiling upon Gld2 knockdown in cultured hippocampal neurons

Publication Title

Bidirectional control of mRNA translation and synaptic plasticity by the cytoplasmic polyadenylation complex.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP077945
Age-related alterations in Wnt-signaling in paneth and stem cells isolated from intestinal crypts.
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: Characterize functional alterations in stem cells and paneth cells obtained from young and aged mice, focusing on age-based impairment of intestinal regeneration due to a decline in canonical Wnt signaling. Methods: mRNA profiles of young and aged stem and paneth cells were generated in triplicate (with one additional young paneth sample) using the Illumina HiSeq 2500. Reads that passed quality filters were aligned to the mm10 mouse genome with annotations provided by UCSC. Results: Approximately 10 millions reads were aligned per sample, corresponding to 36186 transcripts -- of these, 19574 exhibited reasonable expression. The effect of age was tested wtihin paneth and stem cells, using unpaired t-tests with a p-value cutoff of 0.05 and fold change cutoff of 1.5. Within paneth cells, 1025 genes were significant; within stem cells, 750 genes exhibited differential regulation. Among the downregulated genes in paneth and stem cells, we observed significant enrichment of canonical Wnt signaling genes. Conclusion: Age-related downregulation of canonical Wnt signaling is involved in the impairment of intestinal regulation upon aging. Overall design: mRNA profiles of paneth and stem cells obtained from proximal intestinal crypts from aged and young male Lgr5 mice were generated using RNAsequencing in triplicate, using Illumina HiSeq 2500.

Publication Title

Canonical Wnt Signaling Ameliorates Aging of Intestinal Stem Cells.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon SRP131037
Using Next-Generation Sequencing Transcriptomics to Determine Markers of Post-traumatic Symptoms - preliminary findings from a post-deployment cohort
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Post-traumatic stress disorder is a concerning psycho behavioral disorder thought to emerge from the complex interaction between genetic and environmental factors. For soldiers exposed to combat, the risk of developing this disorder is two-fold and diagnosis is often late, when much sequela has set in. To be able to identify and diagnose in advance those at “risk” of developing PTSD, would greatly taper the gap between late sequelae and treatment. Therefore, this study sought to test the hypothesis that the transcriptome can be used to track the development of PTSD in this unique and susceptible cohort of individuals. Gene expression levels in peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms) were determined by RNA sequencing technology following their return from deployment to Afghanistan. Count-based gene expression quantification, normalization and differential analysis (with thorough correction for confounders) revealed significant differences in two genes, LRP8 and GOLM1 . These preliminary results provide a proof-of-principle for the diagnostic utility of blood-based gene expression profiles for tracking symptoms of post-traumatic stress disorder in soldiers returning from tour. It is also the first to report transcriptome-wide expression profiles alongside a post-traumatic symptom checklist. Overall design: Peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms)

Publication Title

Using Next-Generation Sequencing Transcriptomics To Determine Markers of Post-traumatic Symptoms: Preliminary Findings from a Post-deployment Cohort of Soldiers.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE25330
Expression data from In vitro induced C2 M cells in the presence of commensal bacteria
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

M cells are the main site of bacterial translocation in the intestine. We used the in vitro M cell model to study the effect of the commensal bacteria; Lactobacillus salivarius, Eschericha coli and Bacteroides fragilis, on M cell gene expression.

Publication Title

Differential intestinal M-cell gene expression response to gut commensals.

Sample Metadata Fields

Specimen part, 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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Developed by the Childhood Cancer Data Lab

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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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