title: Systems-level analysis of human aging genes shed new light on mechanisms of aging.
abstract: Although studies over the last decades have firmly connected a number of genes and molecular pathways to aging, the aging process as a whole still remains poorly understood. To gain novel insights into the mechanisms underlying aging, instead of considering aging genes individually, we studied their characteristics at the systems level in the context of biological networks. We calculated a comprehensive set of network characteristics for human aging-related genes from the GenAge database. By comparing them with other functional groups of genes, we identified a robust group of aging-specific network characteristics. To find the structural basis and the molecular mechanisms underlying this aging-related network specificity, we also analyzed protein domain interactions and gene expression patterns across different tissues. Our study revealed that aging genes not only tend to be network hubs, playing important roles in communication among different functional modules or pathways, but also are more likely to physically interact and be co-expressed with essential genes. The high expression of aging genes across a large number of tissue types also points to a high level of connectivity among aging genes. Unexpectedly, contrary to the depletion of interactions among hub genes in biological networks, we observed close interactions among aging hubs, which renders the aging subnetworks vulnerable to random attacks and thus may contribute to the aging process. Comparison across species reveals the evolution process of the aging subnetwork. As the organisms become more complex, the complexity of its aging mechanisms increases and their aging hub genes are more functionally connected.
authors.affiliation: Department of Genetics zhengdong.zhang@einstein.yu quanwei.zhang@einstein.yu.edu.
authors.forename: Quanwei
authors.initials: Q
authors.lastname: Zhang
authors.affiliation: Department of Genetics.
authors.forename: Ruben
authors.initials: R
authors.lastname: Nogales-Cadenas
authors.affiliation: Department of Genetics.
authors.forename: Jhih-Rong
authors.initials: JR
authors.lastname: Lin
authors.affiliation: Department of Genetics.
authors.forename: Wen
authors.initials: W
authors.lastname: Zhang
authors.affiliation: Department of Genetics.
authors.forename: Ying
authors.initials: Y
authors.lastname: Cai
authors.affiliation: Department of Genetics.|Department of Ophthalmology and Visual Sciences, Albert Einstein College of Medicine, Bronx, NY, USA.
authors.forename: Jan
authors.initials: J
authors.lastname: Vijg
authors.affiliation: Department of Genetics zhengdong.zhang@einstein.yu quanwei.zhang@einstein.yu.edu.
authors.forename: Zhengdong D
authors.initials: ZD
authors.lastname: Zhang
mesh_terms: D000375:Aging / Q000235:genetics*; D019295:Computational Biology; D030541:Databases, Genetic; D005786:Gene Expression Regulation / Q000235:genetics*; D053263:Gene Regulatory Networks / Q000235:genetics*; D020043:Genes, Essential / Q000235:genetics; D006801:Humans; D015398:Signal Transduction / Q000235:genetics; D049490:Systems Biology