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Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel
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Modeling ncRNA-Mediated Circuits in Cell Fate Decision
Xiao-Jun Tian1, Manuela Vanegas Ferro2, Hanah Goetz2
1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA. xiaojun.tian@asu.edu.
Methods in Molecular Biology (Clifton, N.J.)
|January 13, 2019
Summary
Mathematical modeling clarifies how noncoding RNAs (ncRNAs) control cell fate. Reciprocal regulation between mRNA, miRNA, and ceRNA networks creates bistable switches essential for cell fate decisions.
Area of Science:
- Molecular Biology
- Systems Biology
- Computational Biology
Background:
- Noncoding RNAs (ncRNAs) are crucial for cell fate decisions.
- The precise molecular mechanisms of ncRNA-mediated bistable switches are not fully understood.
Purpose of the Study:
- To review and summarize the general framework of mathematical modeling for ncRNAs.
- To illustrate the application of these models in biological processes.
- To discuss the role of mathematical modeling in synthetic biology.
Main Methods:
- Systematic mathematical and quantitative experimental analyses.
- Review of existing literature on ncRNA modeling.
- Discussion of emergent properties in gene regulatory networks.
Main Results:
- Mathematical modeling provides a framework for understanding ncRNA-mediated cell fate.
- Reciprocal regulation between mRNA, microRNA (miRNA), and competing endogenous mRNA (ceRNA) networks contributes to bistability.
- Positive feedback loops involving ncRNAs and transcription factors are key to bistable switches.
Conclusions:
- Mathematical modeling is essential for elucidating complex ncRNA functions.
- Bistable switches, driven by intricate regulatory networks, direct cell fate decisions.
- The framework presented aids in understanding ncRNA roles in both natural and synthetic biological systems.
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