Network-Based Modular Markers of Aging across Different Tissues

Aging is a highly complex biological process and a risk factor for many diseases. Motivated by the high availability of diverse high-throughput data in the mouse model organism, we provide a systemic view of the age-related mechanisms. In particular, we present a robust network-based integrative approach that provides, based on protein interaction and microarray data, reliable modules that alter significantly in terms of expression during aging. Our modular meta-analysis provides novel information about the involvement of several established as well as recently reported longevity-associated pathways across different tissues.