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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Profiling aorta from high fat diet (HFD)-fed ApoE KO and wild type C57BL6 mice

ABSTRACT: This program aimed to understand gene expression changes in aorta during atherosclerotic lesion progression with an objective to identify genes that may present new opportunities for drug intervention The HFD-fed ApoE KO mice aorta profiling data was analyzed by identifying genes that were up- and down-regulated at selected p value and fold change in comparison to the HFD-fed WT C57BL6 controls.

ORGANISM(S): Mus musculus

SUBMITTER: I-Ming Wang

PROVIDER: E-GEOD-31947 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers.

Wang I-Ming IM Zhang Bin B Yang Xia X Zhu Jun J Stepaniants Serguei S Zhang Chunsheng C Meng Qingying Q Peters Mette M He Yudong Y Ni Chester C Slipetz Deborah D Crackower Michael A MA Houshyar Hani H Tan Christopher M CM Asante-Appiah Ernest E O'Neill Gary G Luo Mingjuan Jane MJ Thieringer Rolf R Yuan Jeffrey J Chiu Chi-Sung CS Lum Pek Yee PY Lamb John J Boie Yves Y Wilkinson Hilary A HA Schadt Eric E EE Dai Hongyue H Roberts Christopher C

Molecular systems biology 20120717

Common inflammatome gene signatures as well as disease-specific signatures were identified by analyzing 12 expression profiling data sets derived from 9 different tissues isolated from 11 rodent inflammatory disease models. The inflammatome signature significantly overlaps with known drug targets and co-expressed gene modules linked to metabolic disorders and cancer. A large proportion of genes in this signature are tightly connected in tissue-specific Bayesian networks (BNs) built from multiple ...[more]

PMID: 22806142

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