File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

김동혁

Kim, Donghyuk
Systems Biology and Machine Learning Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Cellular responses to reactive oxygen species are predicted from molecular mechanisms

Author(s)
Yang, LaurenceMih, NathanAnand, AmiteshPark, Joon HoTan, JustinYurkovich, James T.Monk, Jonathan M.Lloyd, Colton J.Sandberg, Troy E.Seo, Sang WooKim, DonghyukSastry, Anand, VPhaneuf, PatrickGao, YeBroddrick, Jared T.Chen, KeHeckmann, DavidSzubin, RichardHefner, YingFeist, Adam M.Palsson, Bernhard O.
Issued Date
2019-07
DOI
10.1073/pnas.1905039116
URI
https://scholarworks.unist.ac.kr/handle/201301/30397
Fulltext
https://www.pnas.org/content/116/28/14368
Citation
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.116, no.28, pp.14368 - 14373
Abstract
Catalysis using iron-sulfur clusters and transition metals can be traced back to the last universal common ancestor. The damage to metalloproteins caused by reactive oxygen species (ROS) can prevent cell growth and survival when unmanaged, thus eliciting an essential stress response that is universal and fundamental in biology. Here we develop a computable multiscale description of the ROS stress response in Escherichia coli, called OxidizeME. We use OxidizeME to explain four key responses to oxidative stress: 1) ROS-induced auxotrophy for branched-chain, aromatic, and sulfurous amino acids; 2) nutrient-dependent sensitivity of growth rate to ROS; 3) ROS-specific differential gene expression separate from global growth-associated differential expression; and 4) coordinated expression of iron-sulfur cluster (ISC) and sulfur assimilation (SUF) systems for iron-sulfur cluster biosynthesis. These results show that we can now develop fundamental and quantitative genotype-phenotype relationships for stress responses on a genome-wide basis.
Publisher
NATL ACAD SCIENCES
ISSN
0027-8424
Keyword (Author)
reactive oxygen speciesoxidative stressmetabolismprotein expressiongenome-scale model
Keyword
IRON-SULFUR CLUSTERSESCHERICHIA-COLIHYDROGEN-PEROXIDESUPEROXIDE IMPOSESOXIDATIVE STRESSBIOGENESISAUXOTROPHYMETABOLISMSULFITEGROWTH

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.