Identification and Evaluation of Hub Long Noncoding RNAs and mRNAs in High Fat Diet Induced Liver Steatosis

Figures

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  Figure 1. The main workflow of the study. WGCNA, weighted correlation network analysis.

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  Figure 2. WGCNA was used to identify trait-related modules and genes. (a) Scale independence and mean connectivity analysis for various soft threshold powers. (b) Clustering dendrograms of lncRNAs and mRNAs. The color bands provide a simple visual comparison of module assignments based on the dynamic tree cutting method. WGCNA, weighted correlation network analysis.

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  Figure 3. Module–trait relationship. Each row represents a module eigengene and each column represents a trait. Each cell includes the corresponding correlation and p-value. HFD, high-fat diet; HFD-LYC, high-fat diet + lycopene.

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  Figure 4. Functional enrichment analysis for the turquoise and blue modules. Enriched GO analysis of mRNAs in the (a) turquoise and (b) blue modules; enriched KEGG pathway analysis of mRNAs in the (c) turquoise module and (d) blue modules.

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  Figure 5. Module lncRNA–mRNA network of hub genes in the turquoise (a) and blue (b) modules. Module lncRNA–mRNA pathway network of hub genes in the turquoise (c) and blue (d) modules. Red circles represent mRNAs, red and yellow triangles represent lncRNAs, and gray polygons represent pathways. The size of the circle represents the regulation capacity of the mRNA, where larger circles indicate relatively stronger regulation capacity.

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  Figure 6. Construction of protein–protein interaction (PPI) networks in the turquoise (a) and blue (b) modules. Red circles represent mRNA; the size of the circle represents the regulation capacity of mRNA, where larger circles indicate relatively stronger regulation capacity.

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  Figure 7. HE staining of the liver sections: (a) control group; (b) high-fat diet group; (c) high-fat diet + lycopene group. Magnification 200×.