Automated image analysis identifies signaling pathways regulating distinct signatures of cardiac myocyte hypertrophy.

ABSTRACT: Cardiac hypertrophy is controlled by a complex signal transduction and gene regulatory network, containing multiple layers of crosstalk and feedback. While numerous individual components of this network have been identified, understanding how these elements are coordinated to regulate heart growth remains a challenge. Past approaches to measure cardiac myocyte hypertrophy have been manual and often qualitative, hindering the ability to systematically characterize the network's higher-order control structure and identify therapeutic targets. Here, we develop and validate an automated image analysis approach for objectively quantifying multiple hypertrophic phenotypes from immunofluorescence images. This approach incorporates cardiac myocyte-specific optimizations and provides quantitative m

SUBMITTER: Bass GT 

PROVIDER: S-EPMC3299901 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature