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accession-icon GSE87805
Characterization of functional reprogramming during osteoclast development using quantitative proteomics and mRNA profiling
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

The innate immune system is the organisms first line of defense against pathogens. Pattern recognition receptors (PRRs) are responsible for sensing the presence of pathogen-associated molecules. The prototypic PRRs, the membrane-bound receptors of the Toll-like receptor (TLR) family, recognize pathogen-associated molecular patterns (PAMPs) and initiate an innate immune response through signaling pathways that depend on the adaptor molecules MyD88 and TRIF. Deciphering the differences in the complex signaling events that lead to pathogen recognition and initiation of the correct response remains challenging. Here we report the discovery of temporal changes in the protein signaling components involved in innate immunity. Using an integrated strategy combining unbiased proteomics, transcriptomics and macrophage stimulations with three different PAMPs, we identified differences in signaling between individual TLRs and revealed specifics of pathway regulation at the protein level. In addition to forming macrophages and dendritic cells, monocytes in adult peripheral blood retain the ability to develop into osteoclasts, mature bone-resorbing cells. The extensive morphological and functional transformations that occur during osteoclast differentiation require substantial reprogramming of gene and protein expression. Here we employ -omic-scale technologies to examine in detail the molecular changes at discrete developmental stages in this process (precursor cells, intermediate osteoclasts, and multinuclear osteoclasts), quantitatively comparing their transcriptomes and proteomes.

Publication Title

Characterization of functional reprogramming during osteoclast development using quantitative proteomics and mRNA profiling.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE43017
Expression profiles of leukemia cells of acute-type adult T-cell leukemia (ATL) patients
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We recently mapped 605 chromosomal breakpoints in 61 ATL cases by spectral karyotyping and identified chromosome 14q11 as one of the most common chromosomal breakpoint regions. To map the precise location of chromosomal breakpoints at 14q11, we performed single-nucleotide polymorphism (SNP)-based comparative genomic hybridization on leukemia cells from acute-type ATL patients. The breakpoints accumulated frequently adjacent to the T cell receptor alpha/delta chain locus (TCR/) with chromosomal deletions at 14q11 and a recurrent 0.9 Mb interstitial deletion was identified at a region including part of the TCR/ locus. Because leukemia-associated genes are frequently located near the breakpoint cluster regions, we then analyzed the gene expression profiles of ATL cells and identified N-myc downstream regulated gene 2 (NDRG2) as one of the genes that are down-regulated in ATLL cells among the 25 genes mapped to the region adjacent to the recurrently deleted regions at 14q11.

Publication Title

Loss of NDRG2 expression activates PI3K-AKT signalling via PTEN phosphorylation in ATLL and other cancers.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE59533
Expression data from Zea mays cultivars Tietar and DKC 6575
  • organism-icon Zea mays
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Maize transgenic event MON810, grown and commercialised worldwide, is the only cultivated GM event in EU. Maize MON810, variety DKC6575, and the corresponding near-isogenic Tietar were studied in different growing conditions, to assess their behaviour in response to drought. Profiling gene expression in water deficit regimes and in generalised water stress showed an up-regulation of different stress- responsive genes. A greater number of differentially expressed genes was observed in Tietar rather than in DKC6575, with genes belonging to transcription factor families and genes encoding HSPs, LEAs and detoxification enzymes. Since these genes have been from literature, indicated as typical of stress responses, their activation in Tietar rather than in DKC6575 may be reminiscent of a more efficient water stress response. DKC6575 was also analysed for the expression of the transgene CryIAb (encoding for the delta-endotoxin insecticidal protein) in water limiting conditions. In all the experiments the CryIAb transcript was not influenced by water stress, but expressed at a constant level. This suggests that though a different pattern of sensitivity to stress, the transgenic variety maintains the same expression level for the transgene.

Publication Title

Comparison of drought stress response and gene expression between a GM maize variety and a near-isogenic non-GM variety.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE85448
Proteome and secretome analysis reveals differential post-transcriptional regulation of Toll-like receptor responses
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

The innate immune system is the organisms first line of defense against pathogens. Pattern recognition receptors (PRRs) are responsible for sensing the presence of pathogen-associated molecules. The prototypic PRRs, the membrane-bound receptors of the Toll-like receptor (TLR) family, recognize pathogen-associated molecular patterns (PAMPs) and initiate an innate immune response through signaling pathways that depend on the adaptor molecules MyD88 and TRIF. Deciphering the differences in the complex signaling events that lead to pathogen recognition and initiation of the correct response remains challenging. Here we report the discovery of temporal changes in the protein signaling components involved in innate immunity. Using an integrated strategy combining unbiased proteomics, transcriptomics and macrophage stimulations with three different PAMPs, we identified differences in signaling between individual TLRs and revealed specifics of pathway regulation at the protein level.

Publication Title

Proteome and Secretome Analysis Reveals Differential Post-transcriptional Regulation of Toll-like Receptor Responses.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE50112
Effect of Alloantibody and Complement on Endothelial Cells
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Examine the possible pro-inflammatory gene effects of alloantibody and complement on endothelial cells

Publication Title

Alloantibody and complement promote T cell-mediated cardiac allograft vasculopathy through noncanonical nuclear factor-κB signaling in endothelial cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE29700
Stimulation of BL2 cell line with lipopolysaccharide (LPS) for 6h
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of genes up or down regulated in LPS stimulated samples in comparison to control samples.

Publication Title

Genomic data integration using guided clustering.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE11045
Expression data from kidney and liver
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

mRNA expression differences between the liver and kidney of an adult male (homo sapien) were investigated using three technical replicates.

Publication Title

RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE58368
Linking Notch signaling to ischemic stroke
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Using a hitherto uncharacterized knockout mouse model of Notch 3, a Notch signaling receptor paralogue highly expressed in vascular SMCs, we uncover a striking susceptibility to ischemic stroke upon challenge. Cellular and molecular analyses of vascular SMCs derived from these animals associate Notch 3 activity to the expression of specific gene targets, whereas genetic rescue experiments unambiguously link Notch 3 function in vessels to the ischemic phenotype.

Publication Title

Notch signaling functions in retinal pericyte survival.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE22589
A cryptic sensor for HIV-1 activates antiviral innate immunity in dendritic cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine.

Publication Title

A cryptic sensor for HIV-1 activates antiviral innate immunity in dendritic cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE98691
cIAP1 regulates the EGFR/Snai2 axis in triple negative breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Inhibitor of apoptosis (IAP) proteins constitute a conserved family of molecules which regulate both apoptosis and receptor signaling. They are often deregulated in cancer cells and represent potential targets for therapy. In our work, we investigated the effect of IAP inhibition in vivo to identify novel downstream genes expressed in an IAP-dependent manner that could contribute to cancer aggressiveness. To this end, immunocompromised mice engrafted subcutaneously with the triple negative breast cancer MDA-MB231 cell line were treated with SM83, a pan-IAP inhibitor developed by us, and tumor nodules were profiled for gene expression. Our work suggests that IAP-targeted therapy could contribute to EGFR inhibition and the reduction of its downstream mediators. This approach could be particularly effective in cells characterized by high levels of EGFR and Snai2, such as triple negative breast cancer.

Publication Title

cIAP1 regulates the EGFR/Snai2 axis in triple-negative breast cancer cells.

Sample Metadata Fields

Specimen part, Treatment

View Samples
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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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