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accession-icon GSE20940
Lactobacillus rhamnosus LGG and LC705 effects on human primary macrophages
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of human primary macrophages after live Lactobacillus rhamnosus GG (LGG) or LC705 stimulation for 6h and 24h. The results reveal novel mechanisms for probiotics-induced activation of the healthy human innate immune system.

Publication Title

Nonpathogenic Lactobacillus rhamnosus activates the inflammasome and antiviral responses in human macrophages.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE45234
TLR4 senses oxidative stress mediated by partially oxidized microvesicles.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Oxidative stress is a hallmark of inflammation in infection or sterile tissue injury. We show that partially oxidized phospholipids of microvesicles (MVs) from plasma of patients with rheumatoid arthritis or cells exposed to oxidative stress induce activation of TLR4. MVs from healthy donors or reconstituted synthetic MVs can be converted to TLR4 agonists by limited oxidation, while prolonged oxidation abrogates the activity. Activation by MVs mimics the mechanism of TLR4 activation by LPS. However, LPS and MVs induce significantly different transcriptional response profile in mouse BMDMs with a strong inflammation-resolving component induced by the endogenous signals. MVs thus represent a ubiquitous endogenous danger signal released under the oxidative stress, which underlies the pervasive role of TLR4 signaling in inflammation.

Publication Title

Toll-like receptor 4 senses oxidative stress mediated by the oxidation of phospholipids in extracellular vesicles.

Sample Metadata Fields

Sex

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accession-icon GSE68761
Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Understanding the structure and interplay of cellular signalling pathways is one of the great challenges in molecular biology. Boolean Networks can infer signalling networks from observations of protein activation. In situations where it is difficult to assess protein activation directly, Nested Effect Models are an alternative. They derive the network structure indirectly from downstream effects of pathway perturbations. To date, Nested Effect Models cannot resolve signalling details like the formation of signalling complexes or the activation of proteins by multiple alternative input signals. Here we introduce Boolean Nested Effect Models (B-NEM). B-NEMs combine the use of downstream effects with the higher resolution of signalling pathway structures in Boolean Networks. We show that B-NEMs accurately reconstruct signal flows in simulated data. Using B-NEM we then resolve BCR signalling via PI3K and TAK1 kinases in BL2 lymphoma cell lines.

Publication Title

Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP047000
Genome-wide analysis of whole transcriptome in E(z) temperature sensitive cells [RNA-Seq]
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

PcG protein complex PRC2 is a methyltransferase specific for histone H3 lysine27, and H3K27me3 is essential for stable transcription silencing. Less well known but quantitatively much more important is the genome-wide role of PRC2 that dimethylates ~70% of total H3K27. Here we show that H3K27me2 occurs in inverse proportion to transcriptional activity in genes and intergenic regions and its loss results in global transcriptional derepression proportionally greatest in previously silent or weakly transcribed regions. H3K27me2 levels are controlled by opposing roaming activities of PRC2 and the H3K27 demethylase dUTX. Unexpectedly, we find an equally pervasive distribution of histone H2A ubiquitylated at lysine 118 (H2AK118ub), attributed to the RING1 subunit of PRC1-type complexes. Overall design: Examination of global changes in transcription genome-wide when E(z) is inactivated by monitoring total RNA from E(z) temperature-sensitive cells at 25°C and 31°C in duplicate

Publication Title

Genome-wide activities of Polycomb complexes control pervasive transcription.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE25635
Histone acetylation dependent microarray analysis uncovers a role for Tip60 HAT activity in nervous system function and general metabolism
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Tip60 is a key histone acetyltransferase (HAT) enzyme that plays a central role in diverse biological processes critical for general cell function, however the chromatin-mediated cell-type specific developmental pathways that are dependent exclusively upon the HAT activity of Tip60 remain to be explored. Here, we investigate the role of Tip60 HAT activity in transcriptional control during multicellular development, in vivo by examining genome-wide changes in gene expression in a Drosophila model system specifically depleted for endogenous dTip60 HAT function. We show that amino acid residue E431 in the catalytic HAT domain of dTip60 is critical for the acetylation of endogenous histone H4 in our fly model in vivo, and demonstrate that dTip60 HAT activity is essential for multicellular development. Moreover, our results uncover a novel role for Tip60 HAT activity in controlling neuronal specific gene expression profiles essential for nervous system function as well as a central regulatory role for Tip60 HAT function in general metabolism.

Publication Title

Microarray analysis uncovers a role for Tip60 in nervous system function and general metabolism.

Sample Metadata Fields

Specimen part

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accession-icon GSE69871
Expression data from lipopolysaccharide treated and untreated equine alveolar macrophages and basal comparison with peritoneal macrophages
  • organism-icon Equus caballus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Equus caballus Gene 1.0 ST Array (equgene10st)

Description

Alveolar macrophages are the first line of defense against pathogens in the lungs of all mammalian species and therefore may constitute an appropriate therapeutic target cell in the treatment and prevention of opportunistic airway infections. Analysis of alveolar macrophages from several species has revealed a unique cellular phenotype and transcriptome, presumably linked to their distinct airway environment and function in host defense. The current study extends these findings to the horse.

Publication Title

Comparative transcriptome analysis of equine alveolar macrophages.

Sample Metadata Fields

Treatment

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accession-icon E-MEXP-412
Transcription profiling of R1 embryonic stem cells treated with :to DMSO and retinoic acid vs control
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430B Array (moe430b), Affymetrix Mouse Expression 430A Array (moe430a)

Description

Comparison of R1 embryonic stem cells response to DMSO and retinoic acid and control

Publication Title

Meta-analysis of differentiating mouse embryonic stem cell gene expression kinetics reveals early change of a small gene set.

Sample Metadata Fields

Specimen part, Cell line, Compound

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accession-icon E-MEXP-536
Transcription profiling of pancreatic islet implanted transgenic (expressing survivini) in mice
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Transgenic mice were generated that expressed the inhibitor of apoptosis and mitotic regulator survivin in pancreatic islet beta cells. Control non-transgenic or transgenic islets were then used in a model of islet transplantation in diabetic recipient mice and tested for their ability to correct hyperglycemia and allow long-term engraftment of tranplanted islets in vivo. Control or transgenic islets were analyzed by chip microarray for potential transcriptional changes associated with transgenic expression of survivin, in vivo.

Publication Title

Genome-wide analysis of Polycomb targets in Drosophila melanogaster.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE50379
Expression data from striatum of a mouse model of Huntingtons disease (HD) (HdhQ111/Q111) crossed with mGluR5 knockout mice (mGluR5-/-) and their respective controls (HdhQ20/Q20 and mGluR5+/+).
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To try to investigate the mechanism behind the adaptive phenotypes observed in a mice model model of HD crossed with mGluR5 knockout, we analyzed whether mutated huntingtin (Htt) expression in a mGluR5 null background could be altering the expression of genes that might be involved in the pattern of Htt aggregation and HD-related locomotor alterations.

Publication Title

Metabotropic glutamate receptor 5 knockout promotes motor and biochemical alterations in a mouse model of Huntington's disease.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP009251
Human transcriptome pattern of primary cutaneous lesions from patients with localized cutaneous leishmaniasis and mucosal leishmaniasis
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

We evaluated the trancriptome of primary cutaneous leisions caused by infection with Leishmania braziliensis. mRNA-seq technique was used to study the trancriptome of both host and parasite. A total of 10 samples was obtained from primary skin ulcers of two extreme clinical forms of American tegumentary leishmaniasis: (i) individuals that after antimonial treatment cured completely (localized cutaneous leishmaniasis - LCL, n=5) and (ii) individuals that developed mucosal lesions in naso and oropharynx areas long after initial healing of the cutaneous lesion (mucosal leishmaniasis - ML, n=5). The sequencing generated an average of 13+ 5 million reads per samples. The reads were aligned to Homo sapiens (USCS - hg19) and to Leishmania braziliensis (Wellcome Trust Sanger Institute - V2_29072008) genomes. Approximately, 15,000 human genes could be detected in the samples. Low amount of L. braziliensis reads did not allow the evaluation of parasite gene expression. LCL and ML samples showed different patterns of gene expression, indicating a more robust immune response in LCL individuals. In summary, this study demonstrated that next-generation sequencing can be used for identification of potentially important biological pathways and drug targets in the host-response to L. braziliensis infection and for characterization of a gene expression signature that could be used to predict the disease outcome. Moreover, we also showed the ability of this technique in, simultaneously, sequence host and pathogen mRNA. Overall design: Examination of 10 fragments of cutaneous lesions: 5 from localized cutaneous leishmaniasis patients and 5 from mucosal leishmaniasis patients.

Publication Title

Transcriptome patterns from primary cutaneous Leishmania braziliensis infections associate with eventual development of mucosal disease in humans.

Sample Metadata Fields

Specimen part, 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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