| Molecular Systems Biology | |
| Synthetic mammalian transgene negative autoregulation | |
| Vinay Shimoga1  Jacob T White1  Yi Li1  Eduardo Sontag2  | |
| [1] Bioengineering Department, The University of Texas at Dallas, Richardson, TX, USA;Department of Mathematics, Rutgers University, New Brunswick, NJ, USA | |
| 关键词: cellular noise; human cells; negative feedback; transgenes; | |
| DOI : 10.1038/msb.2013.27 | |
| 来源: Wiley | |
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【 摘 要 】
Biological networks contain overrepresented small-scale topologies, typically called motifs. A frequently appearing motif is the transcriptional negative-feedback loop, where a gene product represses its own transcription. Here, using synthetic circuits stably integrated in human kidney cells, we study the effect of negative-feedback regulation on cell-wide (extrinsic) and gene-specific (intrinsic) sources of uncertainty. We develop a theoretical approach to extract the two noise components from experiments and show that negative feedback results in significant total noise reduction by reducing extrinsic noise while marginally increasing intrinsic noise. We compare the results to simple negative regulation, where a constitutively transcribed transcription factor represses a reporter protein. We observe that the control architecture also reduces the extrinsic noise but results in substantially higher intrinsic fluctuations. We conclude that negative feedback is the most efficient way to mitigate the effects of extrinsic fluctuations by a sole regulatory wiring. The effect of negative feedback on global and local sources of uncertainty is studied with synthetic circuits stably integrated in human cells. Negative feedback is shown to be the most efficient way to mitigate the effects of global fluctuations by introducing a single additional regulatory link.Abstract
Synopsis
【 授权许可】
CC BY-NC-SA
Copyright © 2013 EMBO and Macmillan Publishers Limited
Creative Commons Attribution License, which permits distribution, and reproduction in any medium, provided the original author and source are credited. This license does not permit commercial exploitation without specific permission.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202107150008300ZK.pdf | 194KB |
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