The Cell Cycle Browser: an interactive tool for visualizing, simulating, and perturbing cell cycle progression
| Autor: | Samuel C. Wolff, Hong Yi, Hui Xiao Chao, Rachel A. Haggerty, Gavin D. Grant, Katarzyna M. Kedziora, Jayashree Kumar, David Borland, Jeanette Gowen Cook, Jeremy E. Purvis |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Histology Cell Survival Computer science Process (engineering) Systems biology Cell cycle progression Models Biological Article Pathology and Forensic Medicine Flow cytometry 03 medical and health sciences Data visualization 0302 clinical medicine Live cell imaging Human–computer interaction Image Processing Computer-Assisted medicine Humans Computer Simulation Cell Proliferation 030304 developmental biology 0303 health sciences Computational model medicine.diagnostic_test business.industry Cell Cycle Timeline Cell Biology Cell cycle Flow Cytometry Expression (mathematics) 030104 developmental biology User interface business Biological system Software 030217 neurology & neurosurgery |
| DOI: | 10.1101/234039 |
| Popis: | Summary 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. |
| Databáze: | OpenAIRE |
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