Abstract:
:Models of transcription are often built around a picture of RNA polymerase and transcription factors (TFs) acting on a single copy of a promoter. However, most TFs are shared between multiple genes with varying binding affinities. Beyond that, genes often exist at high copy number-in multiple identical copies on the chromosome or on plasmids or viral vectors with copy numbers in the hundreds. Using a thermodynamic model, we characterize the interplay between TF copy number and the demand for that TF. We demonstrate the parameter-free predictive power of this model as a function of the copy number of the TF and the number and affinities of the available specific binding sites; such predictive control is important for the understanding of transcription and the desire to quantitatively design the output of genetic circuits. Finally, we use these experiments to dynamically measure plasmid copy number through the cell cycle.
journal_name
Celljournal_title
Cellauthors
Brewster RC,Weinert FM,Garcia HG,Song D,Rydenfelt M,Phillips Rdoi
10.1016/j.cell.2014.02.022subject
Has Abstractpub_date
2014-03-13 00:00:00pages
1312-1323issue
6eissn
0092-8674issn
1097-4172pii
S0092-8674(14)00221-9journal_volume
156pub_type
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