Title
Controlling E. coli gene expression noise
Abstract
Intracellular protein copy numbers show significant cell-to-cell variability within an isogenic population due to the random nature of biological reactions. Here we show how the variability in copy number can be controlled by perturbing gene expression. Depending on the genetic network and host, different perturbations can be applied to control variability. To understand more fully how noise propa...
Year
DOI
Venue
2015
10.1109/TBCAS.2015.2461135
IEEE Transactions on Biomedical Circuits and Systems
Keywords
DocType
Volume
Noise level,Noise,Proteins,Protein engineering,Gene expression,Mathematical model,Stochastic processes
Journal
9
Issue
ISSN
Citations 
4
1932-4545
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Kyung Hyuk Kim121.37
Kiri Choi211.38
Bryan Bartley333.71
Herbert M Sauro41330203.16