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accession-icon GSE73088
The Gene Expression Profile of Lung Tissue Following Sulfur Mustard Inhalation Exposure in Large Anesthetized Swine
  • organism-icon Sus scrofa
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Sulfur mustard (HD) is a vesicating agent that targets the eyes, skin, and lungs, producing skin burns, conjunctivitis, and compromised respiratory function.

Publication Title

Acute Gene Expression Profile of Lung Tissue Following Sulfur Mustard Inhalation Exposure in Large Anesthetized Swine.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP212107
Sleep Deprivation Alters the Pituitary Stress Transcriptome in male and female Mice
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

We performed a comparative, whole-transcriptome, analysis to identify stress-induced genes and relevant pathways that may be affected by sleep deprivation. Methods: One day following 12 hours of Paradoxical Sleep Deprivation (PSD), mice were restrained for 20 minutes. Gene expression changes in the pituitary were assessed via RNA-Seq and Gene Ontology in PSD and/or restrained groups compared to controls. Results: We show that restraint triggers transcriptional responses involved in hormone secretion, the glucocorticoid response, and apoptosis in both sexes, with 285 differentially expressed genes in females and 93 in males. When PSD preceded restraint stress, the numbers of differentially expressed genes increased to 613 in females and 580 in males. The pituitary transcriptome of restraint+PSD animals was enriched for microglia and macrophage proliferation, cellular response to corticosteroids, and apoptosis, among others. Finally, we show sex-specific differences in restraint-induced genes following PSD. Conclusion: The results indicate striking differences in the male and female stress-induced transcriptome, as well as in the PSD-induced changes. When PSD preceded the restraint stress challenge, the effects on the pituitary transcriptome were striking. While the male and female PSD + restraint-induced transcriptome was similar, we detected remarkable differences, perhaps indicating different strategies used by each sex to cope with challenges to homeostasis. We hope that these data illuminate future research elucidating how sleep deprivation impacts the vital response to stress and motivate the analysis of male and female subjects when designing experiments. Overall design: Gene expression changes in the pituitary were assessed via RNA-Seq and Gene Ontology in Paradoxical Sleep Deprivation and/or restrained groups compared to controls.

Publication Title

Sleep Deprivation Alters the Pituitary Stress Transcriptome in Male and Female Mice.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment, Subject

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accession-icon GSE52717
Flexible multiplatform RNA profiling at the single cell level applied to enriched cancer initiating cells
  • organism-icon Homo sapiens
  • sample-icon 20 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

Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells.

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon GSE52712
Flexible multiplatform RNA profiling at the single cell level applied to enriched cancer initiating cells: Affymetrix array data
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Accurate profiling of RNA expression of single cells is a valuable approach for broadening our understanding of cancer biology and mechanisms of dissemination, but requires the development of reliable methods for their molecular characterization. Here we evaluate a single cell methodology which generates microgram amounts of cDNA suitable for next generation sequencing (RNA-Seq), high throughput RT-qPCR and Affymetrix array analysis. The approach was tested by comparing expression profiles of amplified single MCF7 and MCF10A cells to profiles generated from unamplified RNA. The expression profiles were compared by Affymetrix-U133 arrays, RNA-Seq and high-density qPCR. There were strong cross-platform correlations of >80% and concordance between single cell and unamplified material of >70%. We exemplify the approach through analysis of rare sorted cancer initiating cells (CICs) derived from a NSCLC patient-derived xenograft. Populations of 10 cells from total tumour and two distinct subsets of CIC, putatively involved in primary tumor maintenance or metastasis formation were FACS sorted then directly amplified. CIC expression profiles strongly correlated with published stem-cell and epithelial-mesenchymal transition (EMT) signatures. Our results confirm the utility of the amplification system and our methodology to detect and distinguish RNA profiles in rare cell populations that inform on EMT and stem-cell characteristics. This GEO dataset comprises the Affymetrix U-133 Plus 2.0 data for MCF7 and MCF10A cDNA amplified from 1ng RNA and single cell samples.

Publication Title

Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells.

Sample Metadata Fields

Disease, Cell line

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accession-icon E-MEXP-893
Transcription profiling by array of hepatocytes from mice fed a high fat diet
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430B Array (moe430b), Affymetrix Mouse Expression 430A Array (moe430a)

Description

Effect of high fat diet feeding on gene expression

Publication Title

Subtle metabolic and liver gene transcriptional changes underlie diet-induced fatty liver susceptibility in insulin-resistant mice.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE57655
Gene expression profiling of Notch1 knockout mouse liver samples and murine hepatic angiosarcoma cell lines.
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This work is part of the paper: Generation of a murine hepatic angiosarcoma cell line and reproducible mouse tumor model, Rothweiler S et al, Laboratory Investigation, 2014

Publication Title

Generation of a murine hepatic angiosarcoma cell line and reproducible mouse tumor model.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE22840
Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast
  • organism-icon Homo sapiens
  • sample-icon 19 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

Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE22544
Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast: expression analysis
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Introduction: A major challenge in the interpretation of genomic profiling data generated from breast cancer samples is the identification of driver genes as distinct from bystander genes which do not impact tumorigenesis. One way to assess the relative importance of alterations in the transcriptome profile is to combine complementary analyses that assess changes in the copy number alterations (CNAs). This integrated analysis permits the identification of genes with altered expression that map within specific chromosomal regions that demonstrate copy number alterations, providing a mechanistic approach to identify the 'driver genes.

Publication Title

Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE55386
IL-5-mediated gene expression in LDBM cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptome analysis of LDBM cells stimulated with IL-5

Publication Title

IL-5 triggers a cooperative cytokine network that promotes eosinophil precursor maturation.

Sample Metadata Fields

Specimen part

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accession-icon SRP007823
Dynamic Transformations of Genome-wide Epigenetic Marking and Transcriptional Control Establish T Cell Identity [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

T cell development comprises a stepwise process of commitment from a multipotent precursor. To define molecular mechanisms controlling this progression, we probed five stages spanning the commitment process using deep sequencing RNA-seq and ChIP-seq methods to track genome-wide shifts in transcription, cohorts of active transcription factor genes, histone modifications at diverse classes of cis-regulatory elements, and binding patterns of GATA-3 and PU.1, transcription factors with complementary roles in T-cell development. The results locate potential promoter-distal cis-elements in play and reveal both activation sites and diverse mechanisms of repression that silence genes used in alternative lineages. Histone marking is dynamic and reversible, and while permissive marks anticipate, repressive marks often lag behind changes in transcription. In vivo binding of PU.1 and GATA-3 relative to epigenetic marking reveals distinctive, factor-specific rules for recruitment of these crucial transcription factors to different subsets of their potential sites, dependent on dose and developmental context. Overall design: Genome-wide expression profiles, global distributions of three different histone modifications, and global occupancies of two transcription factors were examined in five developmentally related immature T populations. High throughput sequencing generated on average 9-30 million of mappable reads (single-read) for each ChIP-seq sample, and 10-15 million (single-read) for RNA-seq. Independent biological replicates were analyzed for individual populations. Terminology: FLDN1_RNA-seq_sample1 and FLDN1_RNA-seq_sample2 are independent biological replicates for the same cell type.

Publication Title

Dynamic transformations of genome-wide epigenetic marking and transcriptional control establish T cell identity.

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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