Figure 4.

Generation of a subnetwork from an existing Bayesian network of obese mouse liver. A. A diagram of the small subnetwork immediately surrounding Phlda1 (green) generated from an existing Bayesian gene expression network that was assembled using liver transcriptome and genotype information scored in individuals of F2 mouse crosses [14], [15], [16]. Nearest neighbors that were interrogated further by RT-PCR are highlighted in blue. B. Representative immunoblots of liver extracts from mice on a standard chow or high fat diet using antibodies against PHLDA1 or β-ACTIN. C. Mean of fold change comparing high fat diet (HF) to standard chow diet (SC), or intraorbital injection of control (GFP) to sh-Phlda1-expressing adenovirus, using data from RNA-seq or RT-PCR, respectively. N = 5–7, *p < 0.05.