Published October 20, 2006
| Published
Journal Article
Open
Linking Stochastic Dynamics to Population Distribution: An Analytical Framework of Gene Expression
- Creators
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Friedman, Nir
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Cai, Long
- Xie, X. Sunney
Abstract
We present an analytical framework describing the steady-state distribution of protein concentration in live cells, considering that protein production occurs in random bursts with an exponentially distributed number of molecules. We extend this framework for cases of transcription autoregulation and noise propagation in a simple genetic network. This model allows for the extraction of kinetic parameters of gene expression from steady-state distributions of protein concentration in a cell population, which are available from single cell data obtained by flow cytometry or fluorescence microscopy.
Additional Information
© 2006 The American Physical Society. Received 9 June 2006; published 19 October 2006. We thank Sam Kou, Hong Qian, and Johan Elf for helpful discussions and careful reading of the manuscript. We thank Eedo Mizrahi and Joel Stavans for help with the stochastic simulations code. This work was funded by the Department of Energy, Office of Biological and Environmental Research, Genomics: GTL Program, and in part by a National Institute of Health (NIH) Grant. L. C. is supported by the National Science Foundation, and N. F. by the Human Frontiers Science Program.Attached Files
Published - PhysRevLett.97.168302.pdf
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PhysRevLett.97.168302.pdf
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Additional details
- Eprint ID
- 32730
- Resolver ID
- CaltechAUTHORS:20120726-073337126
- Department of Energy (DOE)
- NIH
- NSF
- Human Frontiers Science Program
- Created
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2012-07-26Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field