Biology subjects

Grant, G. D.

Publications and source records attributed to Grant, G. D..

3 recordsLinked to original sources

bioRxiv2018

Precise detection of S phase onset reveals decoupled G1/S transition events

The eukaryotic cell division cycle is the process by which cells duplicate their genomes and proliferate. Transitions between sequential cell cycle phases are tightly orchestrated to ensure precise and efficient cell cycle progression. Interrogating molecular events at these transitions is important for understanding normal and pathological cell proliferation and mechanisms that ensure genome stability. A popular fluorescent reporter system known as \"FUCCI\" has been widely adopted for identifying cell cycle phases. Using time-lapse fluorescence microscopy, we quantitatively analyzed the dynamics of the FUCCI reporters relative to the transitions into and out of S phase. Although the original reporters reflect the E3 ubiquitin ligase activities for which they were designed, SCFSkp2 and APCCdh1, their dynamics are significantly and variably offset from actual S phase boundaries. To precisely mark these transitions, we generated and thoroughly validated a new reporter containing a PCNA-interacting protein degron whose oscillations are directly coupled to the process of DNA replication itself. We combined this reporter with the geminin-based APCCdh1 reporter to create \"PIP-FUCCI.\" PIP degron reporter dynamics closely correlate with S phase transitions irrespective of reporter expression levels. Using PIP-FUCCI, we made the unexpected observation that the apparent timing of APCCdh1 inactivation frequently varies relative to the onset of S phase. We demonstrate that APCCdh1 inactivation is not a strict pre-requisite for S phase entry, though delayed APCCdh1 inactivation correlates with longer S phase. Our results illustrate the benefits of precise delineation of cell cycle phase boundaries for uncovering the sequences of molecular events at critical cell cycle transitions.

cell biology↗

bioRxiv2017

The Cell Cycle Browser: an interactive tool for visualizing, simulating, and perturbing cell cycle progression

SUMMARYThe cell cycle is driven by precise temporal coordination among many molecular activities. To understand and explore this process, we developed the Cell Cycle Browser (CCB), an interactive web interface based on real-time reporter data collected in proliferating human cells. This tool facilitates visualizing, simulating, and predicting the outcomes of perturbing cell cycle parameters. Time-series traces from individual cells can be combined to build a multi-layered timeline of molecular activities. Users can simulate the cell cycle using computational models that capture the dynamics of molecular activities and phase transitions. By adjusting individual expression levels and strengths of molecular relationships, users can predict effects on the cell cycle. Virtual assays, such as growth curves and flow cytometry, provide familiar outputs to compare cell cycle behaviors for data and simulations. The CCB serves to unify our understanding of cell cycle dynamics and provides a platform for generating hypotheses through virtual experiments.\n\nHIGHLIGHTSO_LIUsers can stack and align single-cell traces for different molecular reporters\nC_LIO_LIComputational models with adjustable parameters simulate cell cycle progression\nC_LIO_LIVirtual growth curves and flow cytometry assays predict cell cycle behaviors\nC_LI

systems biology↗

bioRxiv2017

DNA Damage Checkpoint Dynamics Drive Cell Cycle Phase Transitions

DNA damage checkpoints are cellular mechanisms that protect the integrity of the genome during cell cycle progression. In response to genotoxic stress, these checkpoints halt cell cycle progression until the damage is repaired, allowing cells enough time to recover from damage before resuming normal proliferation. Here, we investigate the temporal dynamics of DNA damage checkpoints in individual proliferating cells by observing cell cycle phase transitions following acute DNA damage. We find that in gap phases (G1 and G2), DNA damage triggers an abrupt halt to cell cycle progression in which the duration of arrest correlates with the severity of damage. However, cells that have already progressed beyond a proposed \"commitment point\" within a given cell cycle phase readily transition to the next phase, revealing a relaxation of checkpoint stringency during later stages of certain cell cycle phases. In contrast to G1 and G2, cell cycle progression in S phase is significantly less sensitive to DNA damage. Instead of exhibiting a complete halt, we find that increasing DNA damage doses leads to decreased rates of S-phase progression followed by arrest in the subsequent G2. Moreover, these phase-specific differences in DNA damage checkpoint dynamics are associated with corresponding differences in the proportions of irreversibly arrested cells. Thus, the precise timing of DNA damage determines the sensitivity, rate of cell cycle progression, and functional outcomes for damaged cells. These findings should inform our understanding of cell fate decisions after treatment with common cancer therapeutics such as genotoxins or spindle poisons, which often target cells in a specific cell cycle phase.

systems biology↗