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accession-icon GSE41842
Distinctive microRNA signature of medulloblastomas associated with the WNT signaling pathway
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Medulloblastoma is a malignant brain tumor that occurs predominantly in children. Current risk stratification based on the clinical parameters is inadequate for accurate prognostication. In order to get a better understanding of medulloblastoma biology, miRNA profiling of medulloblastomas was carried out in parallel with the expression profiling of protein- coding genes.

Publication Title

Distinctive microRNA signature of medulloblastomas associated with the WNT signaling pathway.

Sample Metadata Fields

Sex

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accession-icon GSE81012
Expression data from mouse hair follicle stem cells at postnatal day 49 in K14-sPLA2-IIA and wild type mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

sPLA2-IIA is involved in lipid catabolism and is deregulated in various human cancers. Our data showed that over expression of sPLA2-IIA in skin disrupts various epidermal lineages, loss of ortho-parakeratotic organization, stem cell depletion/quiescence and increased differentiation potentially associated with global differences in epigenetic status. Our study has provided significant contribution to over existing knowledge of sPLA2-IIA by showing the unexplored role of sPLA2-IIA in hair follicle stem cells and skin homeostasis mediated through JNK/c-Jun signaling mechanism.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon SRP023538
LX22 Small cell lung cancer primary xenograft line. RNA-Seq experiment.
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

LX22 SCLC primay xenograft line. Host species: mouse. Graft specied: human. The experiment goal was to separate and identify species-specific NGS reads.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38588
Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition
  • organism-icon Sus scrofa
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The liver transcriptomes of two female groups (High and Low) with phenotypically extreme intramuscular fatty acid composition were sequenced using RNA-Seq [accn: SRA053452, subid: 86092, Bioproject: PRJNA168072]. A total of 146 and 180 unannotated protein-coding genes were identified in intergenic regions for the L and H groups, respectively. In addition, a range of 5.8 to 7.3% of repetitive elements was found, with SINEs being the most abundant elements. The expression in liver of 186 (L) and 270 (H) lncRNAs was also detected. The higher reproducibility of the RNA-Seq data was validated by RT-qPCR and porcine expression microarrays, therefore showing a strong correlation between RT-qPCR and RNA-Seq data (ranking from 0.79 to 0.96), as well as between microarrays and RNA-Seq (r=0.72). A differential expression analysis between H and L animals identified 55 genes differentially-expressed between groups. Pathways analysis revealed that these genes belong to biological functions, canonical pathways and three gene networks related to lipid and fatty acid metabolism. In concordance with the phenotypic classification, the pathways analysis inferred that linolenic and arachidonic acids metabolism was altered between extreme individuals. In addition, a connection was observed among the top three networks, hence suggesting that these genes are interconnected and play an important role in lipid and fatty acid metabolism.

Publication Title

Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE54232
Histone H3 Acetylation and microRNA(s) Regulate Inflammatory response in Mastitis Mice, induced by Staphylococcus aureus Infection
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenetic response in mice mastitis: Role of histone H3 acetylation and microRNA(s) in the regulation of host inflammatory gene expression during Staphylococcus aureus infection.

Sample Metadata Fields

Specimen part

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accession-icon GSE54230
Histone H3 Acetylation and microRNA(s) Regulate Inflammatory response in Mastitis Mice, induced by Staphylococcus aureus Infection [Microarray]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Bacterial infection in the mammary gland parenchyma induces local inflammation that can lead to a multietiological complex disease called mastitis. Globally Staphylococcus aureus is the single largest mastitis pathogen and the infection can ultimately result in either subclinical or chronic and sometimes lifelong infection. In the present report we have addressed the differential inflammatory response in the mice mammary tissue during intramammary infection and the altered epigenetic context induced by two closely related strains of S. aureus. Immunohistochemical and immunoblot analysis showed strain specific hyperacetylation at histone H3K9 and H3K14 residues. Real-time PCR and genome-wide gene expression studied showed expression of a set of proinflammatory genes and cytokines in a temporal manner. Remarkably, over expression of the genes significantly correlated with the promoter specific acetylation in these residues. Furthermore, we have identified several differentially expressed known miRNAs and 4 novel miRNAs in the S. aureus infected mice mammary tissue by small RNA sequencing. By employing these gene expression data, an attempt has been made to delineate the gene regulatory networks in the strain specific inflammatory response. Apparently, one of the isolates of S. aureus activated the NFkB signaling leading to drastic inflammatory response and induction of immune surveillance, which could lead to rapid clearance of the pathogen. The other strain repressed most of the inflammatory response, which might help in its sustenance in the host tissue. Taken together, our studies shed substantial lights to understand the mechanisms of strain specific differential inflammatory response to S. aureus infection during mastitis.

Publication Title

Epigenetic response in mice mastitis: Role of histone H3 acetylation and microRNA(s) in the regulation of host inflammatory gene expression during Staphylococcus aureus infection.

Sample Metadata Fields

Specimen part

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accession-icon GSE71525
A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Affymetrix Genome-Wide Human SNP 6.0 Array (genomewidesnp6)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE21541
An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer
  • organism-icon Homo sapiens
  • sample-icon 10 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

An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE71524
Illumina HT-12 v4 expression array data for Ovarian Cancer Samples
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This study aimed to generate a new panel of comprehensively, genomically characterized high-grade serous ovarian carcinoma (HGSOC) cell line and xenograft models. Multidimensional genomic data were generated and compared between cell lines/xenografts and the tumours they were derived from, indicating the cell lines/xenografts are highly similar to their patient-matched tumours. Cell line/xenograft data were also compared to TCGA ovarian tumours to show the cell lines are good models of clinical HGSOC.

Publication Title

A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas.

Sample Metadata Fields

Sex, Disease

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accession-icon GSE92657
Post-transcriptional regulation of adult CNS axonal regeneration by Cpeb1
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Post-transcriptional regulation of gene expression plays important roles in neuron physiology, and likely do so as well in injury response of axons

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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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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