Automated Measurement of Cell Division Duration
Author Information
Author(s): Sigoillot Frederic D., Huckins Jeremy F., Li Fuhai, Zhou Xiaobo, Wong Stephen T. C., King Randall W.
Primary Institution: Harvard Medical School
Hypothesis
Can an automated time-series method accurately measure changes in mitotic and interphase duration from time-lapse movies?
Conclusion
The automated time-series method can accurately measure small changes in mitotic and interphase duration, comparable to manual analysis.
Supporting Evidence
- The automated method identified the interphase-prophase transition accurately in 93% of nuclei.
- The time-series method was as sensitive as manual analysis in detecting changes in cell cycle duration.
- The approach allows for high-throughput analysis of time-lapse data sets.
- Mitotic duration was measured with high accuracy, yielding a mean of 66.4 minutes.
- The method can detect small increases in mitotic duration due to drug treatment.
- Changes in interphase duration were also accurately measured under various conditions.
- The software is publicly available for use in automated analysis.
- The method is computationally rapid compared to supervised learning approaches.
Takeaway
This study created a computer program that helps scientists quickly measure how long cells take to divide, making it easier to study many cells at once.
Methodology
The study used an automated time-series approach analyzing nuclear area and average intensity to measure mitotic and interphase durations.
Potential Biases
Selection bias may occur as the method does not track all dividing cells, potentially leading to underestimation of mitotic duration.
Limitations
The method may exclude a significant proportion of cells from analysis due to tracking errors or cells going out of the frame.
Participant Demographics
HeLa and A549 cell lines were used in the experiments.
Statistical Information
P-Value
0.0028
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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