7 research outputs found

    Expression analysis of G Protein-Coupled Receptors in mouse macrophages-0

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    Of 91 murine cell types and tissues. Data points show normalised values and similar cell types are grouped according to bar colour; blue indicates primary macrophage cell types, purple indicates bone-related cell types, red indicates other immune cell types, green indicates stem cell populations, orange indicates whole tissue samples, yellow indicates neuronal and retinal cell types and pink indicates cell lines. Additional file gives details of the 91 cell types and tissues profiled.<p><b>Copyright information:</b></p><p>Taken from "Expression analysis of G Protein-Coupled Receptors in mouse macrophages"</p><p>http://www.immunome-research.com/content/4/1/5</p><p>Immunome Research 2008;4():5-5.</p><p>Published online 29 Apr 2008</p><p>PMCID:PMC2394514.</p><p></p

    Expression analysis of G Protein-Coupled Receptors in mouse macrophages-2

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    over a timecourse of 0, 2, 6, and 24 h, and 0, 1 and 7 h, respectively. Data points show gene expression relative to untreated control for each cell population (0 h).<p><b>Copyright information:</b></p><p>Taken from "Expression analysis of G Protein-Coupled Receptors in mouse macrophages"</p><p>http://www.immunome-research.com/content/4/1/5</p><p>Immunome Research 2008;4():5-5.</p><p>Published online 29 Apr 2008</p><p>PMCID:PMC2394514.</p><p></p

    Linking Wikidata to the Semantic Web

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    Poster described at: http://ceur-ws.org/Vol-1795/paper46.pdf<div><br></div><div> <div> <div> <div> <p>Wikidata is the linked database of Wikipedia and its sister projects from the Wikimedia foundation. Wikidata can be queried by SPARQL queries. Either through the WikiData Query Service (WDQS: http://query.wikidata.org) or its SPARQL endpoint at: https://query.wikidata.org/bigdata/namespace/wdq/sparql. </p><p>Both the WDQS and the SPARQL endpoint do not allow submitting federated SPARQL queries. In our efforts to make Wikidata the central hub of linked data in the life science, being able to submit federated queries can be an asset. Although federation is not supported from Wikidata, the SPARQL endpoint is accessible for other SPARQL endpoint that do support federation. We compare four federated SPARQL query patterns to query Wikidata in combination with other semantic web formats. <br></p> </div> </div> </div></div

    Expression analysis of G Protein-Coupled Receptors in mouse macrophages-1

    No full text
    Of 91 murine cell types and tissues. Data points show normalised values and similar cell types are grouped according to bar colour; blue indicates primary macrophage cell types, purple indicates bone-related cell types, red indicates other immune cell types, green indicates stem cell populations, orange indicates whole tissue samples, yellow indicates neuronal and retinal cell types and pink indicates cell lines. Additional file gives details of the 91 cell types and tissues profiled.<p><b>Copyright information:</b></p><p>Taken from "Expression analysis of G Protein-Coupled Receptors in mouse macrophages"</p><p>http://www.immunome-research.com/content/4/1/5</p><p>Immunome Research 2008;4():5-5.</p><p>Published online 29 Apr 2008</p><p>PMCID:PMC2394514.</p><p></p

    Use of a Dense Single Nucleotide Polymorphism Map for In Silico Mapping in the Mouse

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    <div><p>Rapid expansion of available data, both phenotypic and genotypic, for multiple strains of mice has enabled the development of new methods to interrogate the mouse genome for functional genetic perturbations. In silico mapping provides an expedient way to associate the natural diversity of phenotypic traits with ancestrally inherited polymorphisms for the purpose of dissecting genetic traits. In mouse, the current single nucleotide polymorphism (SNP) data have lacked the density across the genome and coverage of enough strains to properly achieve this goal. To remedy this, 470,407 allele calls were produced for 10,990 evenly spaced SNP loci across 48 inbred mouse strains. Use of the SNP set with statistical models that considered unique patterns within blocks of three SNPs as an inferred haplotype could successfully map known single gene traits and a cloned quantitative trait gene. Application of this method to high-density lipoprotein and gallstone phenotypes reproduced previously characterized quantitative trait loci (QTL). The inferred haplotype data also facilitates the refinement of QTL regions such that candidate genes can be more easily identified and characterized as shown for <em>adenylate cyclase 7.</em></p> </div

    Analysis of <i>Adcy7</i> Haplotypes Reveals Amino Acid Change Associated with HDL Phenotype

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    <div><p>(A) Sequencing of <i>Adcy7</i> in multiple strains revealed 28 SNPs distinguishing three distinct haplotype patterns. All strains were typed with markers selected to represent the three haplotypes. The strain distribution pattern predicted by the SNP data and the sample sequencing for this region was confirmed with NZB/BlNJ and BTBR T+ tf/J, I/LnJ and MA/MyJ, and C3H/HeJ, C57BL6/J, and C57L/J, each separating into unique haplotypes.</p> <p>(B) The SNP represented by marker 08.089.597 resulted in a change from a cysteine to a tyrosine in the resulting protein (asterisk). This cysteine is conserved in orthologs of the gene in human, rat, and cow. It is also found at the beginning of a stretch of ten amino acids (indicated by black line) predicted to be one of the protein's ten transmembrane domains. Identical amino acids are black and conserved amino acid changes are gray.</p></div

    Visualization of the SNP Sets Allows for Mapping in Crosses That Minimize the Number of Potential Modifiers

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    <p>When the distribution of the SNPs is plotted out genome-wide, the expected irregular clustering of SNPs mark regions where heterozygosity was continuing to segregate during the inbreeding of the C57 family. Likewise, there are regions that were successfully homozygosed before the split of C58/J from the rest of the family members. In all five strain comparisons, no SNPs were found in the distal 25 Mb of MMU19.</p
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