DNA damage checkpoints balance a tradeoff between diploid- and polyploid-derived arrest failures

Kotaro Fujimaki1, Ashwini Jambhekar1,2, Galit Lahav1,2

  • 1Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.

Insights

Cellular checkpoints prevent damaged cells from dividing, but failures can occur. This study reveals two distinct failure modes, showing that optimizing one checkpoint can worsen another, impacting genomic stability.

Area of Science:

  • Cell Biology
  • Genomics
  • Biophysics

Background:

  • The DNA damage checkpoint system is crucial for maintaining genomic integrity by halting cell division when DNA is damaged.
  • The quantitative coordination of key checkpoints, such as the spindle assembly checkpoint and DNA replication checkpoint, remains poorly understood.
  • Checkpoint failures can lead to genomic instability and aneuploidy, contributing to diseases like cancer.

Purpose of the Study:

  • To investigate the quantitative coordination of DNA damage checkpoints and their failure modes in non-cancerous human cells.
  • To elucidate the mechanisms underlying spontaneous arrest failures in response to exogenous DNA damage.
  • To understand the tradeoff in optimizing checkpoint strengths for minimizing overall genomic instability.

Main Methods:

  • Exposing non-cancerous human cells to exogenous DNA damage.
  • Utilizing single-cell imaging to monitor spontaneous cell cycle arrest failures.
  • Employing computational simulations alongside experimental validation.

Main Results:

  • Identified two distinct modes of cell cycle arrest failure with unique cellular characteristics (ploidy, nuclear morphology, micronuclei).
  • Demonstrated that enhancing one checkpoint to reduce one failure mode inadvertently increases the other.
  • Revealed a critical tradeoff in checkpoint regulation affecting overall arrest failure rates.

Conclusions:

  • Optimal DNA damage checkpoint strengths for minimizing total error are inherently suboptimal for individual failure types.
  • Checkpoint coordination dynamics provide a systemic explanation for genomic instability and tetraploid-like cell formation.
  • Understanding these tradeoffs is key to developing strategies for preventing genomic instability.

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