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Hepatic transcript modules are predictive of atherosclerotic lesion burden after a 2-year high cholesterol, high fat diet challenge in baboons [LCLF]

ABSTRACT: Analysis of hepatic transcript data using unbiased Weighted Gene Correlation Network Analysis (WGCNA) to identify significant modules of genes correlated with lesion burden and performed pathway enrichment analysis of genes in significant modules. The hypothesis tested in the present study was that transcript modules are predictive of atherosclerotic lesion burden after a high cholesterol, high fat diet challenge. Results of the study provide an understanding of the key pathways and genes underlying atherosclerotic lesion burdenafter high cholesterol and high fat diet challenge in baboons .

ORGANISM(S): Papio hamadryas Homo sapiens

PROVIDER: GSE139976 | GEO | 2022/07/10

REPOSITORIES: GEO

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