Metagenomic mining of regulatory elements enables programmable species-selective gene expression

Metagenomic mining of regulatory elements enables programmable species-selective gene expression

Robust and predictably performing synthetic circuits rely on the use of well-characterized regulatory parts across different genetic backgrounds and environmental contexts. Here we report the large-scale metagenomic mining of thousands of natural 5' regulatory sequences from diverse bacteria, a...

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Main Authors: Johns, Nathan I (Author), Yim, Sung Sun (Author), Blazejewski, Tomasz (Author), Dias Gomes, Antonio (Contributor), Yang, Anthony (Contributor), Smillie, Chris S (Contributor), Smith, Mark Burnham (Contributor), Alm, Eric J (Contributor), Kosuri, Sriram (Contributor), Wang, Harris H (Contributor)
Other Authors: Institute for Medical Engineering and Science (Contributor), Massachusetts Institute of Technology. Computational and Systems Biology Program (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor), Massachusetts Institute of Technology. Department of Mathematics (Contributor), Massachusetts Institute of Technology. Department of Physics (Contributor)
Format: Article
Language:English
Published: Springer Nature, 2018-10-22T16:01:36Z.
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