The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression

The cell cycle is driven by precise temporal coordination among many molecular activities. To understand and explore this process, we developed the Cell Cycle Browser (CCB), an interactive web interface based on real-time reporter data collected in proliferating human cells. This tool facilitates vi...

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Veröffentlicht in:Cell systems 2018-08, Vol.7 (2), p.180-184.e4
Hauptverfasser: Borland, David, Yi, Hong, Grant, Gavin D., Kedziora, Katarzyna M., Chao, Hui Xiao, Haggerty, Rachel A., Kumar, Jayashree, Wolff, Samuel C., Cook, Jeanette G., Purvis, Jeremy E.
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container_end_page 184.e4
container_issue 2
container_start_page 180
container_title Cell systems
container_volume 7
creator Borland, David
Yi, Hong
Grant, Gavin D.
Kedziora, Katarzyna M.
Chao, Hui Xiao
Haggerty, Rachel A.
Kumar, Jayashree
Wolff, Samuel C.
Cook, Jeanette G.
Purvis, Jeremy E.
description The cell cycle is driven by precise temporal coordination among many molecular activities. To understand and explore this process, we developed the Cell Cycle Browser (CCB), an interactive web interface based on real-time reporter data collected in proliferating human cells. This tool facilitates visualizing, organizing, simulating, and predicting the outcomes of perturbing cell-cycle parameters. Time-series traces from individual cells can be combined to build a multi-layered timeline of molecular activities. Users can simulate the cell cycle using computational models that capture the dynamics of molecular activities and phase transitions. By adjusting individual expression levels and strengths of molecular relationships, users can predict effects on the cell cycle. Virtual assays, such as growth curves and flow cytometry, provide familiar outputs to compare cell-cycle behaviors for data and simulations. The CCB serves to unify our understanding of cell-cycle dynamics and provides a platform for generating hypotheses through virtual experiments. [Display omitted] •Users can stack and align single-cell traces for different molecular reporters•Computational models with adjustable parameters simulate cell-cycle progression•Virtual growth curves and flow cytometry assays predict cell-cycle behaviors Borland, Yi, and colleagues develop an interactive website offering visualization, simulation, and virtual experiments to study cell-cycle progression at the molecular level.
doi_str_mv 10.1016/j.cels.2018.06.004
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subjects Cell Cycle
Cell Proliferation
Cell Survival
computational modeling
Computer Simulation
data visualization
Flow Cytometry - methods
Humans
Image Processing, Computer-Assisted - methods
live-cell imaging
Models, Biological
single-cell dynamics
Software
title The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression
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