# Delayed Signaling in Mitotic Checkpoints: Biological Mechanisms and Modeling Perspectives

**Authors:** Bashar Ibrahim

PMC · DOI: 10.3390/biology15020122 · Biology · 2026-01-08

## TL;DR

This paper reviews how time delays in cell division checkpoints affect their function and how modeling these delays can improve understanding of cancer-related chromosomal instability.

## Contribution

The paper introduces the use of delay differential equations to model time delays in mitotic checkpoints, offering a novel framework for understanding checkpoint dynamics.

## Key findings

- Time delays in checkpoint signaling arise from protein activation, transport, and conformational changes.
- Delay differential equations (DDEs) better capture checkpoint behavior than traditional ODE models.
- Delayed signaling contributes to checkpoint variability, prolonged arrest, and chromosomal instability in cancer.

## Abstract

When cells divide, they must carefully separate their genetic material to avoid errors that can lead to diseases such as cancer. This process is monitored by internal quality-control systems called checkpoints, which act like safety inspectors, ensuring that chromosomes are properly attached, under tension, and correctly positioned before division is allowed to proceed. These checkpoints do not work instantaneously. Instead, there are natural time delays as molecular signals are generated, transported within the cell, and gradually interpreted. Traditional mathematical models of cell division often assume that these processes happen immediately, which overlooks important aspects of real cellular behavior. This review examines the biological sources of time delays in checkpoint control, including the time required for proteins to change shape, move to different locations inside the cell, and accumulate to effective levels. By using mathematical models that explicitly include these delays, researchers can better understand why some cells divide more slowly than others, why checkpoint signals can persist or fluctuate over time, and why errors sometimes escape detection. This improved understanding helps explain how faulty timing contributes to chromosomal instability in cancer cells and may support future strategies for preventing or controlling abnormal cell division.

Time delays are intrinsic to mitotic regulation, particularly within the spindle assembly checkpoint (SAC) and the spindle position checkpoint (SPOC). These delays emerge from multi-step protein activation, molecular transport, force-dependent conformational transitions, and spatial redistribution of regulatory complexes. They span seconds to minutes and strongly influence checkpoint activation, maintenance, and silencing. Increasing evidence shows that such delayed processes shape mitotic timing, checkpoint robustness, and cell-fate decisions. While classical ordinary differential equation (ODE) models assume instantaneous biochemical responses, delay differential equations (DDEs) provide a natural framework for representing these finite timescales by explicitly incorporating system history. Recent DDE-based studies have revealed how delayed signaling contributes to bistability, oscillatory responses, prolonged mitotic arrest, and variability in checkpoint outputs. This review summarizes the biological origins of delays in SAC and SPOC, including Mad2 activation, MCC assembly and turnover, APC/C reactivation, tension maturation at kinetochores, and Bfa1–Bub2 regulation of Tem1. The article further discusses how mechanistic models with explicit delays improve our understanding of SAC–SPOC ordering, error-correction dynamics, and mitotic exit control. Finally, open challenges and future directions are outlined for integrative delay-aware modeling that unifies biochemical, mechanical, and spatial processes to better explain checkpoint function and chromosomal stability.

## Linked entities

- **Genes:** MAD2L1 (mitotic arrest deficient 2 like 1) [NCBI Gene 4085], MCC (MCC regulator of Wnt signaling pathway) [NCBI Gene 4163], apcC (linker polypeptide, allophycocyanin-associated) [NCBI Gene 6481365], BFA1 (Bfa1p) [NCBI Gene 853513], BUB2 (Bub2p) [NCBI Gene 855077], CD248 (CD248 molecule) [NCBI Gene 57124]
- **Proteins:** MAD2L1 (mitotic arrest deficient 2 like 1), MCC (MCC regulator of Wnt signaling pathway), apcC (linker polypeptide, allophycocyanin-associated), BFA1 (Bfa1p), BUB2 (Bub2p), CD248 (CD248 molecule)
- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Genes:** CD248 (CD248 molecule) [NCBI Gene 57124] {aka CD164L1, TEM1}, MAD2L1 (mitotic arrest deficient 2 like 1) [NCBI Gene 4085] {aka HSMAD2, MAD2}, MCC (MCC regulator of Wnt signaling pathway) [NCBI Gene 4163] {aka MCC1}

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12837216/full.md

## References

52 references — full list in the complete paper: https://tomesphere.com/paper/PMC12837216/full.md

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Source: https://tomesphere.com/paper/PMC12837216