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accession-icon GSE16510
Normal lung transcriptome distinguishes mouse lines with different susceptibility to inflammation and to tumorigenesis
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

AIRmax and AIRmin mouse lines show a differential lung inflammatory response and differential lung tumor susceptibility after urethane treatment, thus constituting a good genetic model to investigate differences in gene expression profiles related to inflammatory response and lung tumor susceptibility. The transcript profile of ~24,000 known genes was analyzed in normal lung tissue of untreated and urethane-treated AIRmax and AIRmin mice. In lungs of untreated mice, inflammation associated genes involved in pathways such as leukocyte transendothelial migration, cell adhesion and tight junctions were differentially expressed in AIRmax versus AIRmin mice. Moreover, gene expression levels differed significantly in urethane-treated mice even at 21 days after treatment. In AIRmin mice, modulation of expression of genes involved in pathways associated with inflammatory response paralleled the previously observed persistent infiltration of inflammatory cells in the lung of these mice. In conclusion, a specific gene expression profile in normal lung tissue is associated with mouse line susceptibility or resistance to lung tumorigenesis and with different inflammatory response, and urethane treatment causes a long-lasting alteration of the lung gene expression profile that correlates with persistent inflammatory response of AIRmin mice.

Publication Title

Transcriptome of normal lung distinguishes mouse lines with different susceptibility to inflammation and to lung tumorigenesis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE52220
Expression data from E11.5 mouse branchial arch 1 (BA1) - comparison between Ezh2lox/lox and Wnt1Cre Ezh2lox/lox embryos
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Conditional ablation of Ezh2 in the neural crest lineage results in loss of the neural crest-derived mesenchymal derivatives. In this data sheet we determine gene expression analysis in Ezh2lox/lox and Wnt1Cre Ezh2lox/lox in E11.5 mouse BA1 cells.

Publication Title

Ezh2 is required for neural crest-derived cartilage and bone formation.

Sample Metadata Fields

Specimen part

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accession-icon SRP035988
Transcriptome analysis of psoriasis in a large case-control sample: RNA-seq provides insights into disease mechanisms
  • organism-icon Homo sapiens
  • sample-icon 151 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

To increase our understanding of psoriasis, we utilized RNA-seq to assay the transcriptomes of lesional psoriatic and normal skin. We sequenced polyadenylated RNA-derived cDNAs from 92 psoriatic and 82 normal punch biopsies, generating an average of ~38 million single-end 80-bp reads per sample. Comparison of 42 samples* examined by both RNA-seq and microarray [GSE13355] revealed marked differences in sensitivity, with transcripts identified only by RNA-seq having much lower expression than those also identified by microarray. RNA-seq identified many more differentially expressed transcripts enriched in immune system processes. Weighted gene co-expression network analysis (WGCNA) revealed multiple modules of coordinately expressed epidermal differentiation genes, overlapping significantly with genes regulated by the long non-coding RNA TINCR, its target gene, staufen-1 (STAU1), the p63 target gene ZNF750, and its target KLF4. Other coordinately expressed modules were enriched for lymphoid and/or myeloid signature transcripts and genes induced by IL-17 in keratinocytes. Dermally-expressed genes were significantly down-regulated in psoriatic biopsies, most likely due to expansion of the epidermal compartment. These results demonstrate the power of WGCNA to elucidate gene regulatory circuits in psoriasis, and emphasize the influence of tissue architecture in both differential expression and co-expression analysis. *The list of 42 samples examined by both RNA-seq and microarray is provided in the 'MAoverlappedsamples.txt'. Overall design: 92 psoriatic and 82 normal skin samples

Publication Title

Circadian control of interferon-sensitive gene expression in murine skin.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP050971
Analysis of long non-coding RNAs highlights tissue-specific expression patterns and epigenetic profiles in normal and psoriatic skin
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

Together with the GSE54456 data, we used in total RNA-seq data from 99 lesional psoriatic, 27 uninvolved psoriatic, and 90 normal skin biopsies and applied computational approaches to identify and characterize expressed lncRNAs. Overall design: 7 psoriatic, 27 uninvolved, and 8 normal skin samples

Publication Title

Circadian control of interferon-sensitive gene expression in murine skin.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE142165
Microarray expression data from P50 mouse full thickness back skin of C57BL/6 mice - various durations of IMQ treatment and timepoints.
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Imiquimod (IMQ) is a topical therapeutic immune activator that causes psoriasiform inflammation in mice. To determine if IMQ-induced inflammation and gene expression changes depended on the time of day in which treatment is administered, we performed gene expression profiling of dorsal mouse back skin by microarray after different durations of topical 1% IMQ treatment (control = no treatment, 6 hr, 24 hr, and 5 days of IMQ treatment) at different times of day (ZT01, ZT07, ZT09 = day-time treatment; ZT13 and ZT19 = night-time treatment). We also performed a time course after IMQ treatment by collecting mouse back skin after 0 (no treatment), 1, 2, 4, 6, and 24 hours post-treatment. Lastly, we determined gene expression changes in response to IMQ in mice deleted for the core circadian clock gene, Bmal1, after 0 (no treatment) and 24 hours post-1% IMQ compared to Wt (both treated and collected during the daytime at ZT09). The results of this study are important as they show that IMQ-induced activation of interferon sensitive genes are diurnal in Wt mice after 6 hours and 24 hours but not after 5 consecutive treatments. Furthermore, we find that interferon sensitive genes are induced more robustly in the skin of Bmal1 KO mice after 24 hr IMQ compared to Wt mice. These results are important for further understanding how the circadian clock regulates immune activation in response to the theraputic agent IMQ.

Publication Title

Circadian control of interferon-sensitive gene expression in murine skin.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE74538
Loss of Ezh2 promotes a midbrain-to-forebrain identity switch by direct gene derepression and Wnt-dependent regulation
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background:

Publication Title

Loss of Ezh2 promotes a midbrain-to-forebrain identity switch by direct gene derepression and Wnt-dependent regulation.

Sample Metadata Fields

Specimen part

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accession-icon GSE51516
Expression data from footpad of AIRmax and AIRmin mice submitted to pristane arthritis induction
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mice selected for high and low acute inflammation were tested for pristane induced arthritis, showing to be susceptible and resistant, respectively.

Publication Title

Pristane-induced arthritis loci interact with the Slc11a1 gene to determine susceptibility in mice selected for high inflammation.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP141481
Differential expression and co-expression gene networks reveal candidate biomarkers of boar taint in non-castrated pigs (RNA-seq data set)
  • organism-icon Sus scrofa
  • sample-icon 79 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Boar taint (BT) is an offensive odour or taste observed in pork from a proportion of non-castrated male pigs. Surgical castration is effective in avoiding BT, but animal welfare issues have created an incentive for alternatives such as genomic selection. In order to find candidate biomarkers, gene expression profiles were analysed from tissues of non-castrated pigs grouped by their genetic merit of BT. Differential expression analysis revealed substantial changes with log-transformed fold changes of liver and testis from -3.39 to 2.96 and -7.51 to 3.53, respectively. Co-expression network analysis revealed one module with a correlation of -0.27 in liver and three modules with correlations of 0.31, -0.44 and -0.49 in testis. Differential expression and co-expression analysis revealed candidate biomarkers with varying biological functions: phase I (COQ3, COX6C, CYP2J2, CYP2B6, ACOX2) and phase II metabolism (GSTO1, GSR, FMO3) of skatole and androstenone in liver to steroidgenesis (HSD17B7, HSD17B8, CYP27A1), regulation of steroidgenesis (STARD10, CYB5R3) and GnRH signalling (MAPK3, MAP2K2, MAP3K2) in testis. Overrepresented pathways included “Ribosome”, “Protein export” and “Oxidative phosphorylation” in liver and “Steroid hormone biosynthesis” and “Gap junction” in testis. Future work should evaluate the biomarkers in large populations to ensure their usefulness in genomic selection programs. Overall design: Total RNA was extracted from liver and testis of 48 Danish Landrace pigs with low- medium and high genetic merit of boar taint and sequenced by Illumina HiSeq 2500.

Publication Title

Systems genomics study reveals expression quantitative trait loci, regulator genes and pathways associated with boar taint in pigs.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP050954
Differential susceptibility of human pleural and peritoneal mesothelial cells to asbestos exposure
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1000

Description

We hypothesize that the observed differences in incidences of pleural and peritoneal malignant mesothelioma (MM) are the result of differences in the direct response of these cell types to asbestos rather than to differences mediated by the in vivo microenvironment. To test this hypothesis, we characterized cellular responses to asbestos in a controlled environment using high-throughput RNA sequence and other assays. Overall design: Examination of asbestos-treated versus untreated mesothelial cells from four cell lines representing two tissue types in culture.

Publication Title

Differential Susceptibility of Human Pleural and Peritoneal Mesothelial Cells to Asbestos Exposure.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE35643
Expression data from human bronchial airway smooth muscle (ASM) cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Interleukin (IL)-17 plays an important and protective role in host defence and has been demonstrated to orchestrate airway inflammation by cooperating with and inducing proinflammatory cytokines. Mircoarrays were used to identify immediate-early/ primary response IL-17A-dependent gene transcripts in primary human bronchial ASM cells from mild asthmatic and healthy individuals.

Publication Title

IL-17A mediates a selective gene expression profile in asthmatic human airway smooth muscle cells.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Subject, 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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