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Gene Expression data from mouse bone marrow derived macrophages treated with different inflammatory stimuli

ABSTRACT: The activation profiles of macrophages under different immune and inflammatory conditions have generated great interest. LPS, in particular, is a commonly used in vitro model of infection and inflammation studies in macrophages. We have used gene expression microarrays to define the effects of each of three variables; LPS dose, LPS vs. interferons beta and gamma, and genetic background on the transcriptional response of mouse bone marrow-derived macrophages Macrophages derived from the C57BL/6 strain of mouse were challenged with increasing doses of LPS over a 24 hour time-course (0.5ng/ml, 5ng/ml, or 50ng/ml LPS). BALB/c derived macrophages were treated with any of 5ng/ml LPS, 10U/ml of recombinant mouse interferon-beta, or 10U/ml interferon-gamma, over a 24 hour timecourse. Sampling times were 0 hours (pre-treatment) and 1, 2, 4, 8, and 24 hours post-treatment in each case.

ORGANISM(S): Mus musculus

PROVIDER: GSE44292 | GEO | 2014/03/24

SECONDARY ACCESSION(S): PRJNA189329

REPOSITORIES: GEO

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Gene Expression data from mouse bone marrow derived macrophages treated with different inflammatory stimuli

Project description:The activation profiles of macrophages under different immune and inflammatory conditions have generated great interest. LPS, in particular, is a commonly used in vitro model of infection and inflammation studies in macrophages. We have used gene expression microarrays to define the effects of each of three variables; LPS dose, LPS vs. interferons beta and gamma, and genetic background on the transcriptional response of mouse bone marrow-derived macrophages Macrophages derived from the C57BL/6 strain of mouse were challenged with increasing doses of LPS over a 24 hour time-course (0.5ng/ml, 5ng/ml, or 50ng/ml LPS). BALB/c derived macrophages were treated with any of 5ng/ml LPS, 10U/ml of recombinant mouse interferon-beta, or 10U/ml interferon-gamma, over a 24 hour timecourse. Sampling times were 0 hours (pre-treatment) and 1, 2, 4, 8, and 24 hours post-treatment in each case. 64 samples in total were analysed. These incorporated 6 different timecourse studies. A combination of statistical filtering using the Empirical Bayes function in Bioconductor package (R statistical software), and co-expression analysis using the network analysis tool BioLayout Express 3D, was used to compare the timecourse studies.

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