Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Orchestration of DNA Damage Checkpoint Dynamics across the Human Cell Cycle.

Cell systems | 2017

Although molecular mechanisms that prompt cell-cycle arrest in response to DNA damage have been elucidated, the systems-level properties of DNA damage checkpoints are not understood. Here, using time-lapse microscopy and simulations that model the cell cycle as a series of Poisson processes, we characterize DNA damage checkpoints in individual, asynchronously proliferating cells. We demonstrate that, within early G1 and G2, checkpoints are stringent: DNA damage triggers an abrupt, all-or-none cell-cycle arrest. The duration of this arrest correlates with the severity of DNA damage. After the cell passes commitment points within G1 and G2, checkpoint stringency is relaxed. By contrast, all of S phase is comparatively insensitive to DNA damage. This checkpoint is graded: instead of halting the cell cycle, increasing DNA damage leads to slower S phase progression. In sum, we show that a cell's response to DNA damage depends on its exact cell-cycle position and that checkpoints are phase-dependent, stringent or relaxed, and graded or all-or-none.

Pubmed ID: 29102360 RIS Download

Additional research tools detected in this publication

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM083024
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM067553
  • Agency: NCI NIH HHS, United States
    Id: T32 CA009156
  • Agency: NIGMS NIH HHS, United States
    Id: R00 GM102372
  • Agency: NCI NIH HHS, United States
    Id: P30 CA016086
  • Agency: NIGMS NIH HHS, United States
    Id: K99 GM102372
  • Agency: NICHD NIH HHS, United States
    Id: DP2 HD091800
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM102413
  • Agency: NCI NIH HHS, United States
    Id: F30 CA213876

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


CellProfiler Image Analysis Software (tool)

RRID:SCR_007358

Software tool to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. It counts cells and also measures the size, shape, intensity and texture of every cell (and every labeled subcellular compartment) in every image. It was designed for high throughput screening but can perform automated image analysis for images from time-lapse movies and low-throughput experiments. CellProfiler has an increasing number of algorithms to identify and measure properties of neuronal cell types.

View all literature mentions

U2OS (cell line)

RRID:CVCL_0042

Cell line U2OS is a Cancer cell line with a species of origin Homo sapiens (Human)

View all literature mentions

hTERT-RPE1 (cell line)

RRID:CVCL_4388

Cell line hTERT-RPE1 is a Telomerase immortalized cell line with a species of origin Homo sapiens (Human)

View all literature mentions