Transcriptomics

Dataset Information

32

Timecourse of Interferon-Gamma Treatment of Bone Marrow-Derived Macrophages (BMDMs)


ABSTRACT: The systematic temporal gene expression analysis of primary macrophages activated under immune (interferon-gamma (IFN-g)) and productive viral infection with murine cytomegalovirus (mCMV). The primary objective of the study is to define, in an unbiased manner, cause-and-effect relationships in the program of gene activation in this cellular system. The even spacing and time intervals (every 30 minutes) makes this study amenable to modelling of gene networks in the system. A kinetic analysis of IFN-g treatment on the gene expression of murine (BALB/c) bone marrow-derived macrophages (BMDMs) over the first 12 hours, sampling every 30 minutes. Agilent mouse genome arrays were used to determine the differences in gene expression between mock and IFN-g treated. The 25 samples collected for the mock IFN-g treatment were pooled and treated as a pooled control. Pooled control was labelled with Cy3 dye and hybridised with every other sample (labelled with Cy5 dye) = 25 dual-dye array hybridisations. The reference channel of the dual-channel hybridisations was only used to normalise the expression of the test channel, rather than used to calculate ratio data. Thus, the normalised data represent log2 single-channel data.

ORGANISM(S): Mus musculus  

SUBMITTER: Nigel Binns  Peter Ghazal    

PROVIDER: E-GEOD-42504 | ArrayExpress| 2015-08-19

SECONDARY ACCESSION(S): GSE42504PRJNA194400

REPOSITORIES: GEO, ArrayExpress

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Publications


Recent studies suggest that the sterol metabolic network participates in the interferon (IFN) antiviral response. However, the molecular mechanisms linking IFN with the sterol network and the identity of sterol mediators remain unknown. Here we report a cellular antiviral role for macrophage production of 25-hydroxycholesterol (cholest-5-en-3β,25-diol, 25HC) as a component of the sterol metabolic network linked to the IFN response via Stat1. By utilizing quantitative metabolome profiling of all  ...[more]

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