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Patterns of selection against centrosome amplification in human cell lines
Marco António Dias Louro1, Mónica Bettencourt-Dias1, Claudia Bank1,2
1Instituto Gulbenkian de Ciência, Oeiras, Portugal.
Plos Computational Biology
|May 12, 2021
Summary
Centrosome amplification, the presence of extra centrioles, is common in cancer. Our models reveal strong selection against extra centrioles, challenging previous assumptions about cancer cell populations.
Area of Science:
- Cell Biology
- Cancer Biology
- Genetics
Background:
- Centrosome amplification, characterized by extra centrioles, is a hallmark of cancer.
- The distribution of centriole numbers in cancer cells suggests a balance between overproduction and selection.
- Quantitative explanations for intra- and inter-population heterogeneity in centriole numbers remain elusive.
Purpose of the Study:
- To investigate if centriole overproduction and selection quantitatively explain heterogeneity in centriole numbers within cancer cell populations.
- To model and infer patterns of centriole overproduction and selection dynamics.
- To assess the accuracy and precision of the inference methodology.
Main Methods:
- Definition of mutation-selection-like models.
- Application of a model selection approach.
- Inference of centriole overproduction and selection patterns in human cell lines.
- Assessment of inference method accuracy and precision based on cell sampling.
Main Results:
- Inference of strong and uniform selection against extra centrioles in most human cell lines.
- Demonstration that the accuracy and precision of the inference method increase non-linearly with the number of sampled cells.
- Identification of a surprising uniform selection pressure across diverse cell lines.
Conclusions:
- The study reveals a significant and uniform selection pressure against extra centrioles in cancer cells.
- The findings suggest that centriole overproduction and selection dynamics may not fully explain the observed heterogeneity in centriole numbers.
- The developed methodology provides a framework for future experimental investigations into centrosome biology and cancer progression.
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