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Spanning high-dimensional expression space using ribosome-binding site combinatorics
Protein levels are a dominant factor shaping natural and synthetic biological systems. Although proper functioning of metabolic pathways relies on precise control of enzyme levels, the experimental ability to balance the levels of many genes in parallel is a major outstanding challenge. Here, we int...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3643573/ https://www.ncbi.nlm.nih.gov/pubmed/23470993 http://dx.doi.org/10.1093/nar/gkt151 |
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author | Zelcbuch, Lior Antonovsky, Niv Bar-Even, Arren Levin-Karp, Ayelet Barenholz, Uri Dayagi, Michal Liebermeister, Wolfram Flamholz, Avi Noor, Elad Amram, Shira Brandis, Alexander Bareia, Tasneem Yofe, Ido Jubran, Halim Milo, Ron |
author_facet | Zelcbuch, Lior Antonovsky, Niv Bar-Even, Arren Levin-Karp, Ayelet Barenholz, Uri Dayagi, Michal Liebermeister, Wolfram Flamholz, Avi Noor, Elad Amram, Shira Brandis, Alexander Bareia, Tasneem Yofe, Ido Jubran, Halim Milo, Ron |
author_sort | Zelcbuch, Lior |
collection | PubMed |
description | Protein levels are a dominant factor shaping natural and synthetic biological systems. Although proper functioning of metabolic pathways relies on precise control of enzyme levels, the experimental ability to balance the levels of many genes in parallel is a major outstanding challenge. Here, we introduce a rapid and modular method to span the expression space of several proteins in parallel. By combinatorially pairing genes with a compact set of ribosome-binding sites, we modulate protein abundance by several orders of magnitude. We demonstrate our strategy by using a synthetic operon containing fluorescent proteins to span a 3D color space. Using the same approach, we modulate a recombinant carotenoid biosynthesis pathway in Escherichia coli to reveal a diversity of phenotypes, each characterized by a distinct carotenoid accumulation profile. In a single combinatorial assembly, we achieve a yield of the industrially valuable compound astaxanthin 4-fold higher than previously reported. The methodology presented here provides an efficient tool for exploring a high-dimensional expression space to locate desirable phenotypes. |
format | Online Article Text |
id | pubmed-3643573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36435732013-05-03 Spanning high-dimensional expression space using ribosome-binding site combinatorics Zelcbuch, Lior Antonovsky, Niv Bar-Even, Arren Levin-Karp, Ayelet Barenholz, Uri Dayagi, Michal Liebermeister, Wolfram Flamholz, Avi Noor, Elad Amram, Shira Brandis, Alexander Bareia, Tasneem Yofe, Ido Jubran, Halim Milo, Ron Nucleic Acids Res Methods Online Protein levels are a dominant factor shaping natural and synthetic biological systems. Although proper functioning of metabolic pathways relies on precise control of enzyme levels, the experimental ability to balance the levels of many genes in parallel is a major outstanding challenge. Here, we introduce a rapid and modular method to span the expression space of several proteins in parallel. By combinatorially pairing genes with a compact set of ribosome-binding sites, we modulate protein abundance by several orders of magnitude. We demonstrate our strategy by using a synthetic operon containing fluorescent proteins to span a 3D color space. Using the same approach, we modulate a recombinant carotenoid biosynthesis pathway in Escherichia coli to reveal a diversity of phenotypes, each characterized by a distinct carotenoid accumulation profile. In a single combinatorial assembly, we achieve a yield of the industrially valuable compound astaxanthin 4-fold higher than previously reported. The methodology presented here provides an efficient tool for exploring a high-dimensional expression space to locate desirable phenotypes. Oxford University Press 2013-05 2013-03-06 /pmc/articles/PMC3643573/ /pubmed/23470993 http://dx.doi.org/10.1093/nar/gkt151 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Zelcbuch, Lior Antonovsky, Niv Bar-Even, Arren Levin-Karp, Ayelet Barenholz, Uri Dayagi, Michal Liebermeister, Wolfram Flamholz, Avi Noor, Elad Amram, Shira Brandis, Alexander Bareia, Tasneem Yofe, Ido Jubran, Halim Milo, Ron Spanning high-dimensional expression space using ribosome-binding site combinatorics |
title | Spanning high-dimensional expression space using ribosome-binding site combinatorics |
title_full | Spanning high-dimensional expression space using ribosome-binding site combinatorics |
title_fullStr | Spanning high-dimensional expression space using ribosome-binding site combinatorics |
title_full_unstemmed | Spanning high-dimensional expression space using ribosome-binding site combinatorics |
title_short | Spanning high-dimensional expression space using ribosome-binding site combinatorics |
title_sort | spanning high-dimensional expression space using ribosome-binding site combinatorics |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3643573/ https://www.ncbi.nlm.nih.gov/pubmed/23470993 http://dx.doi.org/10.1093/nar/gkt151 |
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