In response to DNA damage, cells arrest at specific stages in the cell cycle. This arrest must fulfill at least 3 requirements: it must be activated promptly; it must be sustained as long as damage is present to prevent loss of genomic information; and after the arrest, cells must re-enter into the appropriate cell cycle phase to ensure proper ploidy. Multiple molecular mechanisms capable of arresting the cell cycle have been identified in mammalian cells; however, it is unknown whether each mechanism meets all 3 requirements or whether they act together to confer specific functions to the arrest. To address this question, we integrated mathematical models describing the cell cycle and the DNA damage signaling networks and tested the contributions of each mechanism to cell cycle arrest and re-entry. Predictions from this model were then tested with quantitative experiments to identify the combined action of arrest mechanisms in irradiated cells. We find that different arrest mechanisms serve indispensable roles in the proper cellular response to DNA damage over time: p53-independent cyclin inactivation confers immediate arrest, whereas p53-dependent cyclin downregulation allows this arrest to be sustained. Additionally, p21-mediated inhibition of cyclin-dependent kinase activity is indispensable for preventing improper cell cycle re-entry and endoreduplication. This work shows that in a complex signaling network, seemingly redundant mechanisms, acting in a concerted fashion, can achieve a specific cellular outcome.DNA damage ͉ dynamics ͉ mathematical model ͉ p53 ͉ cyclins O ne goal of systems biology is to quantitatively understand the dynamics of signaling pathways. As mathematical models of individual pathways emerge, we are challenged to interconnect them into a detailed understanding of how different pathways control the processing of information within the cell. The networks controlling cell cycle progression and the response to DNA damage are natural choices for such an integrative study. Each has been individually modeled successfully, and a great deal is understood about how specific interactions and regulation affect the dynamics of each network. However, in the absence of an extended model bridging these two pathways, the quantitative interaction between them remains undescribed. Here we develop a computational model of the combined networks and use it together with experimental measurements to determine the relative contribution and specific function of different cell cycle arrest mechanisms in response to DNA damage.During the cell cycle, mammalian cells coordinate cell growth, genome replication, and division. Two irreversible events subdivide the cell cycle into distinct phases: the onset of DNA replication defines S phase; and cell division defines M phase. Cells grow and carry out additional functions during the gap phases G1 and G2. The changing activity states of cyclindependent kinases (Cdks) regulate the transition between different stages of the cell cycle (1). Cyclin D/Cdk4 and -6 and cycli...