Published August 9, 2021 | Version v1
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High-resolution mapping of the period landscape reveals polymorphism in cell cycle frequency tuning

  • 1. Stanford University
  • 2. University of Michigan-Ann Arbor
  • 3. University of Michigan–Ann Arbor

Description

Biological oscillators adapt to environmental changes with widely tunable frequencies, a property theoretical studies attributed to positive feedbacks. However, no experiments have tested this theory. Here, we created synthetic cells to independently tune the frequency and feedback strength of a cell-cycle oscillator, enabling continuous mapping of period landscape in response to network perturbations. We found that although inhibiting positive feedback of cyclin-dependent kinase (Cdk1) reduces the tunability, the reduction is not as significant as theoretically predicted, and the Cdk1-counteracting phosphatase, PP2A, provides additional machinery to ensure frequency regulation. Additionally, cells exhibit polymorphic responses to PP2A inhibition, showing a monomodal distribution of oscillatory cells at low or high PP2A inhibition or a bimodal distribution at both low and high inhibitions. We explained the polymorphism by a model of two interlinked bistable switches of Cdk1 and PP2A where cell-cycle oscillations exhibit two modes in the presence or absence of PP2A bistability.

Notes

This dataset is mainly consisted of two types of files, MatLab metadata (*.mat ) after image processing and MatLab scripts (*.m) to generate figures. 

The dataset is categorized based on figures. Each script controls metadata import, data analysis, and figure generation. The scripts and corresponding figures are listed in readMe file.

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: MCB 1817909

Funding provided by: National Institute of General Medical Sciences
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000057
Award Number: R35GM119688

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: Early Career 1553031

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Additional details

Related works

Is cited by
10.1101/2021.05.10.442602 (DOI)
Is source of
10.5061/dryad.5mkkwh76f (DOI)