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Accurate, model-based tuning of synthetic gene expression using introns in S. cerevisiae.

Authors :
Ido Yofe
Zohar Zafrir
Rachel Blau
Maya Schuldiner
Tamir Tuller
Ehud Shapiro
Tuval Ben-Yehezkel
Source :
PLoS Genetics, Vol 10, Iss 6, p e1004407 (2014)
Publication Year :
2014
Publisher :
Public Library of Science (PLoS), 2014.

Abstract

Introns are key regulators of eukaryotic gene expression and present a potentially powerful tool for the design of synthetic eukaryotic gene expression systems. However, intronic control over gene expression is governed by a multitude of complex, incompletely understood, regulatory mechanisms. Despite this lack of detailed mechanistic understanding, here we show how a relatively simple model enables accurate and predictable tuning of synthetic gene expression system in yeast using several predictive intron features such as transcript folding and sequence motifs. Using only natural Saccharomyces cerevisiae introns as regulators, we demonstrate fine and accurate control over gene expression spanning a 100 fold expression range. These results broaden the engineering toolbox of synthetic gene expression systems and provide a framework in which precise and robust tuning of gene expression is accomplished.

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
10
Issue :
6
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.9f42018041564889aa1e1aff44cdebb2
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1004407