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accession-icon GSE11348
Gene expression profiles during in vivo human rhinovirus infection: insights into the host response.
  • organism-icon Homo sapiens
  • sample-icon 89 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

RATIONALE: Human rhinovirus infections cause colds and trigger exacerbations of lower airway diseases. OBJECTIVES: To define changes in gene expression profiles during in vivo rhinovirus infections. METHODS: Nasal epithelial scrapings were obtained before and during experimental rhinovirus infection, and gene expression was evaluated by microarray. Naturally acquired rhinovirus infections, cultured human epithelial cells, and short interfering RNA knockdown were used to further evaluate the role of viperin in rhinovirus infections. MEASUREMENTS AND MAIN RESULTS: Symptom scores and viral titers were measured in subjects inoculated with rhinovirus or sham control, and changes in gene expression were assessed 8 and 48 hours after inoculation. Real-time reverse transcription-polymerase chain reaction for viperin and rhinoviruses was used in naturally acquired infections, and viperin mRNA levels and viral titers were measured in cultured cells. Rhinovirus-induced changes in gene expression were not observed 8 hours after viral infection, but 11,887 gene transcripts were significantly altered in scrapings obtained 2 days postinoculation. Major groups of up-regulated genes included chemokines, signaling molecules, interferon-responsive genes, and antivirals. Viperin expression was further examined and also was increased in naturally acquired rhinovirus infections, as well as in cultured human epithelial cells infected with intact, but not replication-deficient, rhinovirus. Knockdown of viperin with short interfering RNA increased rhinovirus replication in infected epithelial cells. CONCLUSIONS: Rhinovirus infection significantly alters the expression of many genes associated with the immune response, including chemokines and antivirals. The data obtained provide insights into the host response to rhinovirus infection and identify potential novel targets for further evaluation.

Publication Title

Gene expression profiles during in vivo human rhinovirus infection: insights into the host response.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5350
MicroArray Quality Control (MAQC) Project
  • organism-icon Homo sapiens, Rattus norvegicus
  • sample-icon 212 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray technology has had a profound impact on gene expression research. Some studies have questioned whether similar expression results are obtained when the same RNA samples are analyzed on different platforms.

Publication Title

The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE48837
Gene expression of fly testes with meiotic arrest from different mutations
  • organism-icon Drosophila melanogaster
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

The role of different proteins, Always Early (Aly), Spermatocyte Arrest (Sa), Ubi-p63E (Magn) on the gene expression in spermatocyte differentation was assessed by microarray

Publication Title

The polyubiquitin gene Ubi-p63E is essential for male meiotic cell cycle progression and germ cell differentiation in Drosophila.

Sample Metadata Fields

Specimen part

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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 GSE89506
Blocking promiscuous activation at cryptic promoters directs cell typespecific gene expression
  • organism-icon Drosophila melanogaster
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Blocking promiscuous activation at cryptic promoters directs cell type-specific gene expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE68696
Gene expression of fly testes with dMi-2, kumgang (CG5204) knock downs
  • organism-icon Drosophila melanogaster
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

The effect of different loss of functions; kumgang (kmg or CG5204), dMi-2, and kmg and always early (aly) double on the gene expression in spermatocyte differentation was assessed by microarray.

Publication Title

Blocking promiscuous activation at cryptic promoters directs cell type-specific gene expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE82081
Transcriptome assessment of the Pompe (Gaa-/-) mouse cervical cord confirms widespread neuropathology.
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The only FDA approved therapy for Pompe is directed at correcting skeletal and cardiac muscle pathology, however, clinical and animal model data show strong histological evidence for a neurological disease component. While neuronal cell death and neuroinflammation are prominent in many lysosomal disorders, these processes have not been evaluated in Pompe disease. There is also no information available regarding the impact of Pompe disease on the fundamental pathways associated with synaptic communication.

Publication Title

Transcriptome assessment of the Pompe (Gaa-/-) mouse spinal cord indicates widespread neuropathology.

Sample Metadata Fields

Age

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accession-icon GSE28728
Sequential changes at differentiation gene promoters as they become active in a stem cell lineage
  • organism-icon Drosophila melanogaster
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Transcriptional silencing of terminal differentiation genes by the Polycomb group (PcG) machinery is emerging as a key feature of precursor cells in stem cell lineages. How, then, is this epigenetic silencing reversed for proper cellular differentiation? Here we investigate how the developmental program reverses local PcG action to allow expression of terminal differentiation genes in the Drosophila male germline stem cell lineage. We find that the silenced state, set up in precursor cells, is relieved through developmentally regulated sequential events at promoters once cells commit to spermatocyte differentiation. The programmed events include global down-regulation of PRC2, recruitment of hypophosphorylated RNA Polymerase II (Pol II) to promoters, as well as expression and action of cell-type specific homologs of subunits of TFIID (tTAFs). In addition, action of tMAC, a tissue specific version of the MIP/dREAM complex, is required both for recruitment of tTAFs to target differentiation genes and for proper cell-type specific localization of PRC1 components and tTAFs to the spermatocyte nucleolus. Together, action of the tMAC and tTAF cell-type specific chromatin and transcription machinery leads to loss of

Publication Title

Sequential changes at differentiation gene promoters as they become active in a stem cell lineage.

Sample Metadata Fields

Time

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accession-icon GSE24513
Expression data from P4 and P10 mouse optic nerves
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Optic nerves are an accessible part of the CNS, providing a source of glia without the presence of neuronal cell bodies. Therefore, an analysis was carried out of gene expression in optic nerves at P4, before myelination begins and at P10, when myelination is very actively proceeding. The goal was to obtain a profile of the changing gene expression that accompanies this transition from unmyelinated CNS nerve to myelinated nerve.

Publication Title

Towards resolving the transcription factor network controlling myelin gene expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE107912
BV6 induces an early wave of gene expression via NF-B and AP-1 and a second wave via TNF/TNFR1 signaling
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Smac mimetics are considered as promising cancer therapeutics, but little is yet known about how they alter gene expression. In this study we used an unbiased genome-wide expression array to investigate Smac mimetic BV6-induced gene regulation in breast cancer cell lines. Kinetic analysis revealed that BV6 alters gene expression in two waves. The first wave primarily involves NF-B- and AP-1 families of transcription factors, while the second wave largely depends on tumor necrosis factor receptor 1 (TNFR1) signaling. Interestingly, disrupting auto-/paracrine tumor necrosis factor- (TNF)/ (TNFR1) signaling by knockdown of TNFR1 strongly attenuates the BV6-induced second wave of gene expression and upregulation of many pathways including NF-B signaling, apoptosis and immune signalling, but not MAPK signaling pathways. Consistently, BV6 stimulates phosphorylation of cJun, a marker of MAPK cascade activation, irrespective of the presence or absence of the TNF blocking antibody Enbrel. We show here in a comprehensive overview that BV6-induced gene expression in breast cancer cells takes place in a time- as well as TNFR1-dependent manner.

Publication Title

Smac mimetic induces an early wave of gene expression via NF-κB and AP-1 and a second wave via TNFR1 signaling.

Sample Metadata Fields

Cell line, 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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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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