SNU CBE

Cellular responses to reactive oxygen species are predicted from molecular mechanisms

2019 · Proceedings of the National Academy of Sciences

저자

Laurence Yang, Nathan Mih, Amitesh Anand, Joon Ho Park, Justin Tan, James T. Yurkovich, Jonathan M. Monk, Colton J. Lloyd, Troy E. Sandberg, 서상우 (Sang Woo Seo), Donghyuk Kim, Anand V. Sastry, Patrick V. Phaneuf, Ye Gao, Jared T. Broddrick, Ke Chen, David Heckmann, Richard Szubin, Ying Hefner, Adam M. Feist, Bernhard Ørn Palsson

연구주제

Redox biology and oxidative stress · Bacterial Genetics and Biotechnology

NTIS 과학기술표준분류

가장 가까운 분류(보건의료 > 신약·의약품개발 > 백신)가 화학·화공 범위 밖이다. 배정 근거: AI 키워드가 잡은 NTIS 과제의 분류.

AI 연구 키워드·방법

대장균 유전체 규모 대사 모델(GEM) iron sulfur cluster reactive oxygen species stress response

genome scale model simulation

키워드 (OpenAlex)

reactive oxygen species oxidative stress response Escherichia coli iron-sulfur clusters sulfur assimilation auxotrophy differential gene expression genotype-phenotype correlation

초록

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.…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

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교수 1

서상우

연구주제 1

Redox biology and oxidative stress

키워드 2

대장균 · 유전체 규모 대사 모델(GEM)