Literature DB >> 30633903

Bacteria-to-Human Protein Networks Reveal Origins of Endogenous DNA Damage.

Jun Xia1, Li-Ya Chiu2, Ralf B Nehring3, María Angélica Bravo Núñez3, Qian Mei4, Mercedes Perez2, Yin Zhai5, Devon M Fitzgerald3, John P Pribis1, Yumeng Wang6, Chenyue W Hu7, Reid T Powell8, Sandra A LaBonte9, Ali Jalali10, Meztli L Matadamas Guzmán3, Alfred M Lentzsch2, Adam T Szafran11, Mohan C Joshi12, Megan Richters3, Janet L Gibson3, Ryan L Frisch3, P J Hastings13, David Bates12, Christine Queitsch14, Susan G Hilsenbeck15, Cristian Coarfa16, James C Hu9, Deborah A Siegele17, Kenneth L Scott18, Han Liang19, Michael A Mancini16, Christophe Herman20, Kyle M Miller21, Susan M Rosenberg22.   

Abstract

DNA damage provokes mutations and cancer and results from external carcinogens or endogenous cellular processes. However, the intrinsic instigators of endogenous DNA damage are poorly understood. Here, we identify proteins that promote endogenous DNA damage when overproduced: the DNA "damage-up" proteins (DDPs). We discover a large network of DDPs in Escherichia coli and deconvolute them into six function clusters, demonstrating DDP mechanisms in three: reactive oxygen increase by transmembrane transporters, chromosome loss by replisome binding, and replication stalling by transcription factors. Their 284 human homologs are over-represented among known cancer drivers, and their RNAs in tumors predict heavy mutagenesis and a poor prognosis. Half of the tested human homologs promote DNA damage and mutation when overproduced in human cells, with DNA damage-elevating mechanisms like those in E. coli. Our work identifies networks of DDPs that provoke endogenous DNA damage and may reveal DNA damage-associated functions of many human known and newly implicated cancer-promoting proteins.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DNA damage response; DNA double-strand breaks; DNMT1; Escherichia coli; cancer; evolution; genome instability; human cells; microbial cancer models; replication fork reversal

Mesh:

Substances:

Year:  2019        PMID: 30633903      PMCID: PMC6344048          DOI: 10.1016/j.cell.2018.12.008

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


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