An improved understanding of the molecular mechanisms underlying cell cycle checkpoints and IMT variability may thus lead to novel therapeutics that can restore normal cell function and/or slow or halt disease progression. Open in a separate window Fig 1 Simple illustration of the cell cycle.The four phases of the cell cycle (G1, S, G2, and M), the non-cycling G0 state, and three well-known checkpoints (dashed lines) are shown. for the reliable maximum likelihood estimation of model parameters in the absence of knowledge about the number of detectable checkpoints. We employ this method to fit different variants of the DDT model (with one, two, and three checkpoints) to IMT data from multiple cell lines under different growth conditions and drug treatments. We find that a two-checkpoint model best describes the data, consistent with the notion that the cell cycle can be broadly separated into two steps: the commitment N6,N6-Dimethyladenosine to divide and the process of cell division. The model predicts one part of the cell cycle to be highly variable and growth factor sensitive while the other is less variable and relatively refractory to growth factor signaling. Using experimental data that separates IMT into G1 vs. S, G2, and M phases, we show that the model-predicted growth-factor-sensitive part of the cell cycle corresponds to a portion of G1, consistent with previous studies suggesting that the commitment step is the primary source of IMT variability. These results demonstrate that a simple stochastic model, with just a handful of parameters, can provide fundamental insights into the biological underpinnings of cell cycle progression. Introduction The process through which a cell replicates its DNA, doubles in size, and divides is known as the mitotic cell cycle [1] (Fig 1). The cell cycle proceeds unidirectionally: DNA synthesis (S phase) and the segregation of cellular components into two new daughter cells (mitosis or M phase) are separated by two gap phases (G1 and G2). The time it takes a cell to progress from the beginning of G1 to the end of M phase is referred to as the intermitotic time (IMT). Cell cycle progression is controlled by molecular signaling networks that verify the integrity of each step in this process; these verification points are referred to as checkpoints. Many distinct checkpoint functions have been described [2, 3], including checkpoints that assess: (i) growth factor signaling (often referred to as the restriction point [4]; see Fig 1); (ii) licensing of DNA replication to prevent reduplication [5]; (iii) nutrient abundance [6]; (iv) DNA damage [3]; (v) sufficient size of the N6,N6-Dimethyladenosine cell prior to mitosis [7]; and (vi) proper machinery for chromosomal alignment and segregation during mitosis [8]. Hyperproliferative diseases, such as cancer, invariably suffer from defective cell cycle checkpoint function [2], usually caused by genetic mutations to important molecular regulators [9]. These mutations can disrupt the network structure in complex ways, reducing checkpoint fidelity and increasing IMT variability. An improved understanding of the molecular mechanisms N6,N6-Dimethyladenosine underlying cell cycle checkpoints and IMT variability may thus lead to novel therapeutics that can restore normal cell function and/or slow or halt disease progression. Open in a separate window Fig 1 Simple illustration of the cell cycle.The four phases of the cell cycle N6,N6-Dimethyladenosine (G1, S, G2, and M), the non-cycling G0 state, and three well-known checkpoints (dashed lines) are shown. The exact location and nature of the G1 checkpoint is controversial, indicated by ? . The number and location of other checkpoints within the G1, S, and G2 phases is also a topic of current research. The origins and consequences of IMT variability have been the subject of intense research for decades [10C21]. For example, numerous papers have investigated the checkpoint in G1 that acts as the commitment step to cell division, often referred to as the restriction point. However, its position in the cell cycle, relationships to other G1 checkpoints, and the transition into and out of the non-cycling G0 state remain controversial [2, 4C6, 22C26]. In addition, how much of the variability in the total IMT is contributed before vs. after this step is a point of contention. Early studies by Zetterberg and Larsson suggest more variability occurs after the commitment step [22, 27], whereas others suggest that the variability arises prior to commitment [23, 24, 26]. Furthermore, although many of the important molecular components controlling checkpoint passage are known Mouse monoclonal to CD64.CT101 reacts with high affinity receptor for IgG (FcyRI), a 75 kDa type 1 trasmembrane glycoprotein. CD64 is expressed on monocytes and macrophages but not on lymphocytes or resting granulocytes. CD64 play a role in phagocytosis, and dependent cellular cytotoxicity ( ADCC). It also participates in cytokine and superoxide release N6,N6-Dimethyladenosine [2, 5, 28, 29], a comprehensive understanding of the complex network of molecular interactions that drives progression through the cell cycle is still lacking..
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