Person Details: Qiang Zhang

Superfund Research Program

Qiang Zhang

The Hamner Institutes for Health Sciences
1518 Clifton Road, NE
Grace Frum Rollins Building, Floor 04
Atlanta, Georgia 30322
Phone: 404-727-0154
Email: qiang.zhang@emory.edu

Projects

• Michigan State University: Computational Modeling Core (2022-2027)
• Michigan State University: Research Support A: Computational Modeling of Mammalian Biomolecular Responses (2006-2021)

Publications

2022

• Liu S, Pi J, Zhang Q. 2022. Signal amplification in the KEAP1-NRF2-ARE antioxidant response pathway. Redox Biol 54:102389. doi:10.1016/j.redox.2022.102389 PMID:35792437 PMCID:PMC9287733

2021

• Kumbale CM, Voit EO, Zhang Q. 2021. Emergence and enhancement of ultrasensitivity through posttranslational modulation of protein stability. Biomolecules 11(11):1741. doi:10.3390/biom11111741 PMID:34827739 PMCID:PMC8615576
• Liu S, Pi J, Zhang Q. 2021. Mathematical modeling reveals quantitative properties of KEAP1-NRF2 signaling. Redox Biol 47:doi:10.1016/j.redox.2021.102139 PMID:34600335 PMCID:PMC8531862

2019

• Davis JD, Kumbale CM, Zhang Q, Voit EO. 2019. Dynamical systems approaches to personalized medicine. Curr Opin Biotechnol 58:168-174. doi:10.1016/j.copbio.2019.03.005 PMID:30978644 PMCID:PMC7050596
• Zhang Q, Caudle W, Pi J, Bhattacharya S, Andersen ME, Kaminski NE, Conolly RB. 2019. Embracing systems toxicology at single-cell resolution. Curr Opin Toxicol 16:49-57. doi:10.1016/j.cotox.2019.04.003 PMID:31768481 PMCID:PMC6876623

2018

• Zhang Q, Li J, Middleton A, Bhattacharya S, Conolly RB. 2018. Bridging the data gap from in vitro toxicity testing to chemical safety assessment through computational modeling. Front Public Health 6:261. doi:10.3389/fpubh.2018.00261 PMID:30255008 PMCID:PMC6141783
• Zhou J, Zhang Q, Henriquez J, Crawford RB, Kaminski NE. 2018. Lymphocyte-specific protein tyrosine kinase (LCK) is involved in the aryl hydrocarbon receptor-mediated impairment of immunoglobulin secretion in human primary B cells. Toxicol Sci 165(2):322-334. doi:10.1093/toxsci/kfy133 PMID:29860352

2014

• Zhang Q, Bhattacharya S, Conolly RB, Clewell H, Andersen ME. 2014. Molecular signaling network motifs provide a mechanistic basis for cellular threshold responses. Environ Health Perspect 122(12):1261-1270. doi:10.1289/ehp.1408244 PMID:25117432 PMCID:PMC4256703

2013

• Zhang Q, Bhattacharya S, Andersen ME. 2013. Ultrasensitive response motifs: Basic amplifiers in molecular signalling networks. Open Biol 3(4):130031. doi:10.1098/rsob.130031 PMID:23615029 PMCID:PMC3718334
• Zhang Q, Kline DE, Bhattacharya S, Crawford RB, Conolly RB, Thomas RS, Andersen ME, Kaminski NE. 2013. All-or-none suppression of B cell terminal differentiation by environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin. Toxicol Appl Pharmacol 268(1):17-26. doi:10.1016/j.taap.2013.01.015 PMID:23357550 PMCID:PMC3594464

2011

• Bhattacharya S, Zhang Q, Andersen ME. 2011. Double-negative feedback loops as a common design motif in the transcriptional networks regulating cell fate. International Journal of Design Engineering 4:41-57. doi:10.1504/IJDE.2011.041408
• Bhattacharya S, Zhang Q, Carmichael PL, Boekelheide K, Andersen ME. 2011. Toxicity testing in the 21 century: defining new risk assessment approaches based on perturbation of intracellular toxicity pathways. PLoS One 6(6):doi:10.1371/journal.pone.0020887 PMID:21701582 PMCID:PMC3118802 (Completed with ARRA Funds)

2010

• Andersen ME, Zhang Q, Bhattacharya S. 2010. Modeling Gene and Protein Expression - Nested Motifs in Cellular and Tissue Response Networks. Chapter 10 in: Quantitative Modeling in Toxicology. John Wiley & Sons, Hoboken, NJ.
• Bhattacharya S, Conolly RB, Kaminski NE, Thomas RS, Andersen ME, Zhang Q. 2010. A bistable switch underlying B-cell differentiation and its disruption by the environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin. Toxicol Sci 115(1):51-65. doi:10.1093/toxsci/kfq035 PMID:20123757 PMCID:PMC2855357
• Bhattacharya S, Zhang Q, Andersen ME. 2010. Bistable Signaling Motifs and Cell Fate Decisions. Chapter 8 in: Quantitative Modeling in Toxicology. John Wiley & Sons, Hoboken, NJ.
• Zhang Q, Bhattacharya S, Andersen ME, Conolly RB. 2010. Computational systems biology and dose-response modeling in relation to new directions in toxicity testing. J Environ Sci Health B 13(2-4):253-76. doi:10.1080/10937404.2010.483943 PMID:20574901
• Zhang Q, Bhattacharya S, Kline DE, Crawford RB, Thomas RS, Kaminski NE, Andersen ME, Conolly RB. 2010. Stochastic modeling of B lymphocyte terminal differentiation and its suppression by dioxin. BMC Syst Biol 4:40. doi:10.1186/1752-0509-4-40 PMID:20359356 PMCID:PMC2859749
• Zhang Q, Bhattacharya S, Woods CG, Andersen ME. 2010. Ultrasensitive Response Motifs in Biochemical Networks. Chapter 9 in: Quantitative Modeling in Toxicology. John Wiley & Sons, Hoboken, NJ. pp.199-218.
• Zhang Q, Pi J, Woods CG, Andersen ME. 2010. A systems biology perspective on Nrf2-mediated antioxidant response. Toxicol Appl Pharmacol 244(1):84-97. doi:10.1016/j.taap.2009.08.018 PMID:19716833 PMCID:PMC2837757

2009

• Zhang Q, Pi J, Woods CG, Andersen ME. 2009. Phase I to II cross-induction of xenobiotic metabolizing enzymes: a feedforward control mechanism for potential hormetic responses. Toxicol Appl Pharmacol 237(3):345-356. doi:10.1016/j.taap.2009.04.005 PMID:19371757 PMCID:PMC2696203

2006

• Zhang Q, Thomas RS, Kaminski NE, Conolly RB, Andersen ME. 2006. Computational modeling of TCDD disruption of B-cell terminal differentiation. In: Superfund Basic Research Program Annual Meeting, December 11-12. La Jolla, CA.

2004

• Spiegelstein O, Mitchell LE, Merriweather MY, Wicker NJ, Zhang Q, Lammer EJ, Finnell RH. 2004. Embryonic development of folate binding protein-1 (Folbp1) knockout mice: Effects of the chemical form, dose, and timing of maternal folate supplementation. Dev Dyn 231(1):221-231. doi:10.1002/dvdy.20107 PMID:15305303