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Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast
Published on: September 26, 2025
The cell cycle DB: a systems biology approach to cell cycle analysis
Roberta Alfieri1, Ivan Merelli, Ettore Mosca
1Istituto di Tecnologie Biomediche-Consiglio Nazionale delle Ricerche, via F.lli Cervi 93, Segrate, Milano, Italy. roberta.alfieri@itb.cnr.it
Nucleic Acids Research
|December 28, 2007
Summary
This study presents a comprehensive cell cycle database integrating gene and protein information with mathematical models for human and yeast. It offers a systems biology approach to understanding cell cycle processes from components to pathways.
Area of Science:
- Molecular Biology
- Systems Biology
- Bioinformatics
Background:
- The cell cycle is a fundamental biological process crucial for cell growth and division.
- Understanding the complex interactions of genes and proteins in the cell cycle is essential.
- Existing resources may lack integration of experimental data with computational models.
Purpose of the Study:
- To create a centralized biological resource for human and yeast cell cycle information.
- To integrate gene and protein data with mathematical models of cell cycle pathways.
- To provide a platform for simulating cell cycle models within a systems biology framework.
Main Methods:
- Development of a biological database.
- Collection and curation of data on cell cycle genes and proteins.
- Inclusion of published mathematical models of cell cycle processes.
Main Results:
- A comprehensive database of cell cycle genes and proteins is now available.
- Mathematical models of cell cycle pathways are stored and accessible.
- Direct simulation of cell cycle models is enabled through the database.
Conclusions:
- The cell cycle database provides an exhaustive view of the cell cycle, from its molecular components to pathway dynamics.
- This resource facilitates a systems biology approach to studying cell cycle regulation.
- The integrated platform supports research in cell cycle control and related diseases.
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