A data-driven method for quantifying the impact of a genetic circuit on its host
Genetic circuits aredesigned to implement certain logic in living cells, keeping burden on the host cell minimal. However, manipulating the genome often will have a significant impact for various reasons (usage of the cell machinery to express new genes, toxicity of genes, interactions with native g...
Main Authors: | Dorfan, Yuval, Espah Borujeni, Amin, Park, YongJin, Saxena, Uma, Gondon, Ben, Voigt, Christopher A., Yeung, Enoch |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | English |
Published: |
IEEE
2020
|
Online Access: | https://hdl.handle.net/1721.1/127200 |
Similar Items
-
P recision design of stable genetic circuits carried in highly‐insulated E. coli genomic landing pads
by: Park, Yongjin, et al.
Published: (2021) -
Genetic circuit characterization and debugging using RNA‐seq
by: Gorochowski, Thomas Edward, et al.
Published: (2018) -
Dynamic control of endogenous metabolism with combinatorial logic circuits
by: Moser, Felix, et al.
Published: (2019) -
Genetic circuit characterization by inferring RNA polymerase movement and ribosome usage
by: Espah Borujeni, Amin, et al.
Published: (2021) -
Multi-input CRISPR/Cas genetic circuits that interface host regulatory networks
by: Nielsen, Alec Andrew, et al.
Published: (2014)