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Pathway analysis comparing treatment groups. Ingenuity Pathway Analysis was used to predict signaling pathways between Arrest and Sham mice (top), Sham+Metformin (Sham+Met) and Sham mice (middle), and Arrest+Metformin (Arrest+Met) to Arrest mice (bottom) based on <t>microarray</t> data collected from left ventricles one day after arrest (n = 6/group). Bar-graphs include significance values for pathway changes (−log(p-value)) and are colored according to z-score to predict directionality of changes. Differentially expressed genes were included in the analysis when p < 0.05 based on microarray data. Principal component analysis, volcano plots, and hierarchical clustering are included in .
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Pathway analysis comparing treatment groups. Ingenuity Pathway Analysis was used to predict signaling pathways between Arrest and Sham mice (top), Sham+Metformin (Sham+Met) and Sham mice (middle), and Arrest+Metformin (Arrest+Met) to Arrest mice (bottom) based on microarray data collected from left ventricles one day after arrest (n = 6/group). Bar-graphs include significance values for pathway changes (−log(p-value)) and are colored according to z-score to predict directionality of changes. Differentially expressed genes were included in the analysis when p < 0.05 based on microarray data. Principal component analysis, volcano plots, and hierarchical clustering are included in .

Journal: Journal of molecular and cellular cardiology plus

Article Title: Metformin preconditioning protects against myocardial stunning and preserves protein translation in a mouse model of cardiac arrest

doi: 10.1016/j.jmccpl.2023.100034

Figure Lengend Snippet: Pathway analysis comparing treatment groups. Ingenuity Pathway Analysis was used to predict signaling pathways between Arrest and Sham mice (top), Sham+Metformin (Sham+Met) and Sham mice (middle), and Arrest+Metformin (Arrest+Met) to Arrest mice (bottom) based on microarray data collected from left ventricles one day after arrest (n = 6/group). Bar-graphs include significance values for pathway changes (−log(p-value)) and are colored according to z-score to predict directionality of changes. Differentially expressed genes were included in the analysis when p < 0.05 based on microarray data. Principal component analysis, volcano plots, and hierarchical clustering are included in .

Article Snippet: Microarray analysis was performed on cDNA through the Affymetrix microarray analysis service (ThermoFisher).

Techniques: Microarray