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accession-icon GSE31369
Expression profiling of rpb1-12XWTCTD and rpb1-12XS2ACTD fission yeast strains.
  • organism-icon Schizosaccharomyces pombe
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

In fission yeast, the nuclear-localized Lsk1p-Lsc1p-Lsg1p cyclin dependent kinase complex is required for the reliable execution of cytokinesis and is also required for Ser-2 phosphorylation RNA pol II carboxy terminal domain.

Publication Title

Global gene expression analysis of fission yeast mutants impaired in Ser-2 phosphorylation of the RNA pol II carboxy terminal domain.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE145781
Whole spleen transcriptome during acute phase of infection in a virulent Plasmodium chabaudi chabaudi CB infection
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of spleen samples taken throughout the acute phase of infection from mice infected with virulent P. chabaudi CB strain

Publication Title

Transcriptome analysis of blood and spleen in virulent and avirulent mouse malaria infection.

Sample Metadata Fields

Sex, Specimen part, Time

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accession-icon GSE145634
Rodent malaria parasite RNA does not affect mouse BeadChip results
  • organism-icon Mus musculus, Plasmodium chabaudi
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Rodent malaria parasite RNA hybridized on Illumina Mouse WG-6 v2.0 Expression BeadChip

Publication Title

Transcriptome analysis of blood and spleen in virulent and avirulent mouse malaria infection.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP056378
Transcriptome analysis of SiHa cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaHiSeq2000

Description

This study assessed the transcriptional profile of SiHa cells. SiHa is a cervical cancer cell line with integrated HPV16, and was used as a model to study human gene expression in the context of integrated virus. Gene expression in SiHa, calculated by Cufflinks, was scored in windows around the locations of known viral integrations in patients or cell lines to determine if there was an association between gene expression and viral integration. We found that SiHa gene expression was higher near loci of integration for HPV18 vs. HPV16, cervical tissues vs. head and neck cancers, and cervical cancers vs. in vitro integrations. This study provides insight into the factors that may influence where viruses integrate in the human genome. Overall design: Gene Expression in untreated SiHa cells.

Publication Title

Meta-Analysis of DNA Tumor-Viral Integration Site Selection Indicates a Role for Repeats, Gene Expression and Epigenetics.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE94746
Differential gene expression in the adipose tissue of crossbred beef cows with divergent gain after feed restriction and ad libitum feeding studies.
  • organism-icon Bos taurus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.1 ST Array (bovgene11st)

Description

Beef cow adipose tissue transcriptome

Publication Title

Differential transcript abundance in adipose tissue of mature beef cows during feed restriction and realimentation.

Sample Metadata Fields

Specimen part

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accession-icon GSE5332
mTOR pathway controls mitochondrial gene expression and respiration through the YY1/PGC-1alpha transcriptional complex
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mitochondrial oxidative function is tightly controlled to maintain energy homeostasis in response to nutrient and hormonal signals. An important cellular component in the energy sensing response is the target of rapamycin (TOR) kinase pathway; however whether and how mTOR controls mitochondrial oxidative activity is unknown. Here, we show that mTOR kinase activity stimulates mitochondrial gene expression and oxidative function. In skeletal muscle cells and TSC2-/- MEFs, the mTOR inhibitor rapamycin largely decreased gene expression of mitochondrial transcriptional regulators such as PGC-1alpha and the transcription factors ERRalpha and NRFs. As a consequence, mitochondrial gene expression and oxygen consumption were reduced upon mTOR inhibition. Using computational genomics, we identified the transcription factor YY1 as a common target of mTOR and PGC-1alpha that controls mitochondrial gene expression. Inhibition of mTOR resulted in a failure of YY1 to interact and be coactivated by PGC-1alpha. Notably, knock-down of YY1 in skeletal muscle cells caused a significant decrease in mRNAs of mitochondrial regulators and mitochondrial genes that resulted in a decrease in respiration. Moreover, YY1 was required for rapamycin-dependent repression of mitochondrial genes. Thus, we have identified a novel mechanism in which a nutrient sensor (mTOR) balances energy metabolism via transcriptional control of mitochondrial oxidative function. These results have important implications for our understanding of how these pathways might be altered in metabolic diseases and cancer.

Publication Title

mTOR controls mitochondrial oxidative function through a YY1-PGC-1alpha transcriptional complex.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE27976
Calvarial osteoblast transcriptome analysis identifies genetic targets and extracellular matrix-mediated focal adhesion as potential biomarkers for single-suture craniosynostosis
  • organism-icon Homo sapiens
  • sample-icon 248 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Craniosynostosis is a disease defined by premature fusion of one or more cranial sutures. The mechanistic pathology of isolated single-suture craniosynostosis is complex and while a number of genetic biomarkers and environmental predispositions have been identified, in many cases the causes remain controversial and inconclusive at best. After controlling for variables contributing to potential bias, FGF7, SFRP4, and VCAM1 emerged as potential genetic biomarkers for single-suture craniosynostosis due to their significantly large changes in gene expression compared to the control population. Furthermore, pathway analysis implicated focal adhesion and extracellular matrix (ECM)-receptor interaction as differentially regulated gene networks when comparing all cases of single-suture synostosis and controls. Lastly, overall gene expression was found to be highly conserved between coronal and metopic cases, as evidenced by the fact that WNT2 and IGFBP2 were the only differentially regulated genes identified in a direct comparison. These results not only confirm the roles of previously reported craniosynostosis-related targets but also introduce novel genetic biomarkers and pathways that may play critical roles in its pathogenesis.

Publication Title

Differential expression of extracellular matrix-mediated pathways in single-suture craniosynostosis.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE29536
Whole Blood Transcriptional Modules generated on Illumina Hu-6 V2 Beadchips
  • organism-icon Homo sapiens
  • sample-icon 410 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

This dataset was used to establish whole blood transcriptional modules (n=260) that represent groups of coordinately expressed transcripts that exhibit altered abundance within individual datasets or across multiple datasets. This modular framework was generated to reduce the dimensionality of whole blood microarray data processed on the Illumina Beadchip platform yielding data-driven transcriptional modules with biologic meaning.

Publication Title

Interferon signature in the blood in inflammatory common variable immune deficiency.

Sample Metadata Fields

Disease

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accession-icon GSE62816
Transcriptional analysis of human cranial compartments with different embryonic origins
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Previous investigations suggest that the different embryonic origins of the calvarial tissues (neural crest or mesoderm) may account for the different molecular mechanisms underlying sutural development. The aim of this study was to evaluate the differences in the gene expression of human cranial tissues and assess the presence of an expression signature reflecting their embryonic origins. Using microarray technology, we investigated global gene expression of cells from the frontal and parietal bones and the metopic and sagittal intrasutural mesenchyme (ISM) of four human fetal calvaria.

Publication Title

Transcriptional analysis of human cranial compartments with different embryonic origins.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE73699
Differential gene expression in the mesenteric fat among crossbred beef steers with divergent gain and feed intake phenotypes
  • organism-icon Bos taurus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.1 ST Array (bovgene11st)

Description

Steer mesenteric fat transcriptome.

Publication Title

Relationships between the genes expressed in the mesenteric adipose tissue of beef cattle and feed intake and gain.

Sample Metadata Fields

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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