Abstract
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.
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© 2014 Springer International Publishing Switzerland
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Vrahatis, A.G., Dimitrakopoulou, K., Dimitrakopoulos, G.N., Sgarbas, K.N., Tsakalidis, A.K., Bezerianos, A. (2014). Network-Based Modular Markers of Aging across Different Tissues. In: Roa Romero, L. (eds) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. IFMBE Proceedings, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-319-00846-2_456
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DOI: https://doi.org/10.1007/978-3-319-00846-2_456
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00845-5
Online ISBN: 978-3-319-00846-2
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