Ontology type: schema:ScholarlyArticle Open Access: True
2003-12
AUTHORSChristine A Wells, Timothy Ravasi, Geoffrey J Faulkner, Piero Carninci, Yasushi Okazaki, Yoshihide Hayashizaki, Matthew Sweet, Brandon J Wainwright, David A Hume
ABSTRACTBACKGROUND: Susceptibility to infectious diseases is directed, in part, by the interaction between the invading pathogen and host macrophages. This study examines the influence of genetic background on host-pathogen interactions, by assessing the transcriptional responses of macrophages from five inbred mouse strains to lipopolysaccharide (LPS), a major determinant of responses to gram-negative microorganisms. RESULTS: The mouse strains examined varied greatly in the number, amplitude and rate of induction of genes expressed in response to LPS. The response was attenuated in the C3H/HeJlpsd strain, which has a mutation in the LPS receptor Toll-like receptor 4 (TLR4). Variation between mouse strains allowed clustering into early (C57Bl/6J and DBA/2J) and delayed (BALB/c and C3H/ARC) transcriptional phenotypes. There was no clear correlation between gene induction patterns and variation at the Bcg locus (Slc11A1) or propensity to bias Th1 versus Th2 T cell activation responses. CONCLUSION: Macrophages from each strain responded to LPS with unique gene expression profiles. The variation apparent between genetic backgrounds provides insights into the breadth of possible inflammatory responses, and paradoxically, this divergence was used to identify a common transcriptional program that responds to TLR4 signalling, irrespective of genetic background. Our data indicates that many additional genetic loci control the nature and the extent of transcriptional responses promoted by a single pathogen-associated molecular pattern (PAMP), such as LPS. More... »
PAGES5
http://scigraph.springernature.com/pub.10.1186/1471-2172-4-5
DOIhttp://dx.doi.org/10.1186/1471-2172-4-5
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/12826024
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JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1471-2172-4-5'
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This table displays all metadata directly associated to this object as RDF triples.
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