Engineering sensors for gene expression burden
File(s)
Author(s)
Boo, Alice
Ceroni, Francesca
Type
Chapter
Abstract
RNA-seq enables the analysis of gene expression profiles across different conditions and organisms. Gene expression burden slows down growth, which results in poor predictability of gene constructs and product yields. Here, we describe how we applied RNA-seq to study the transcriptional profiles of Escherichia coli when burden is elicited during heterologous gene expression. We then present how we selected early responsive promoters from our RNA-seq results to design sensors for gene expression burden. Finally, we describe how we used one of these sensors to develop a burden-driven feedback regulator to improve cellular fitness in engineered E. coli.
Date Issued
2021-01-07
Citation
Methods in Molecular Biology, 2021, 2229, pp.313-330
Publisher
Humana Press
Start Page
313
End Page
330
Journal / Book Title
Methods in Molecular Biology
Volume
2229
Copyright Statement
© Springer Science+Business Media, LLC, part of Springer Nature 2021. The final publication is available at Springer via https://link.springer.com/protocol10.1007%2F978-1-0716-1032-9_15
Identifier
https://link.springer.com/protocol/10.1007%2F978-1-0716-1032-9_15
Subjects
Feedback
Gene expression burden
RNA-seq
Sensor
Synthetic construct
0399 Other Chemical Sciences
0601 Biochemistry and Cell Biology
Developmental Biology
Publication Status
Published
Date Publish Online
2021-01-07