Faculty & Research

Mark Brynildsen

Associated Faculty, Chemical and Biological Engineering

Mark Brynildsen

Phone (609) 258-1995
locationHoyt, 212,214,215
Hoyt, 205
Phone Lab (609) 258-5661
Faculty Assistant
Mary beth friedfeld


Phone (609) 258-0582

Research Focus

With the ever-increasing incidence of antibiotic-resistant infections and a weak pipeline of new antibiotics, our antibiotic arsenal is in danger of becoming obsolete. Since conventional antibiotic discovery is failing to keep pace with the rise of resistance, fresh perspectives and novel methodologies are needed to address this critical public health issue. The main focus of our group is to use both computational and experimental techniques in systems biology, synthetic biology, and metabolic engineering to understand and combat infectious disease. We focus on two key areas: host-pathogen interactions and bacterial persistence.

Host-pathogen interactions

The increase in the frequency of antibiotic-resistant strains has researchers searching for new antimicrobials or novel ways to potentiate current therapeutics. One exciting approach with great potential is antivirulence therapy, which focuses on disrupting the ability of a pathogen to infect a host. Rather than targeting essential bacterial functions as current antibiotics do, antivirulence therapy targets essential host-pathogen interactions required for infection such as adhesion, quorum sensing, and susceptibility to immune attack. These therapies are less prone to resistance development due to their ability to provide selective pressure only within the host, and have the potential to greatly expand our antimicrobial capabilities. In this area, we aim to leverage our knowledge and understanding of bacterial metabolism to increase the susceptibility of pathogens to killing by various immune antimicrobials, including reactive oxygen species, reactive nitrogen species, and antimicrobial peptides.

Bacterial persistence

Bacterial persistence is a non-genetic, non-inherited (epigenetic) ability in bacteria to tolerate antibiotics and other stress. This distinct physiological state is thought to cause chronic and recurrent infection, and represents an insurance policy in which a small portion of cells enter dormancy and sacrifice their ability to replicate in order to survive stress at a future time. The proportion of persisters in a population varies by strain and environment (generally 1 in 100 to 1 in 1,000,000 cells), and the mechanism of persister formation as well as the content of their physiology remain elusive. A major goal of our group is the reconstruction of persister physiology using systems biology to identify active portions of their metabolic, signal transduction, and transcriptional regulatory networks. This work will provide the first cellular-level persister network and direct efforts to eliminate persisters as a source of chronic infection.

Selected Publications

Völzing KG, Brynildsen MP. (2015) Stationary-Phase Persisters to Ofloxacin Sustain DNA Damage and Require Repair Systems Only during Recovery. 6(5). Pubmed

Amato SM, Brynildsen MP. (2015) Persister Heterogeneity Arising from a Single Metabolic Stress. 25(16):2090-8. Pubmed

Orman MA, Brynildsen MP. (2015) Inhibition of stationary phase respiration impairs persister formation in E. coli. 6: 7983. Pubmed

Robinson JL, Brynildsen MP. An ensemble-guided approach identifies ClpP as a major regulator of transcript levels in nitric oxide-stressed Escherichia coli. Metab Eng. 2015 Jun 22. [Epub ahead of print]

Adolfsen KJ, Brynildsen MP. (2015) Futile cycling increases sensitivity toward oxidative stress in Escherichia coli. Metab Eng. [Epub ahead of print]

Mok WW, Orman MA, Brynildsen MP. (2015) Impacts of global transcriptional regulators on persister metabolism. Antimicrob Agents Chemother. 59:2713-9 Pubmed 

Orman MA, Mok WW, Brynildsen MP. (2015) Aminoglycoside-enabled elucidation of bacterial persister metabolism. Curr Protoc Microbiol. 36:17.9.1-17.9.14. Pubmed

Amato SM, Brynildsen MP. (2014) Nutrient transitions are a source of persisters in Escherichia coli biofilms. PLoS One. 9:e93110. Pubmed

Robinson JL, Adolfsen KJ, Brynildsen MP. (2014) Deciphering nitric oxide stress in bacteria with quantitative modeling. Curr Opin Microbiol. 19:16-24.  Pubmed

Amato SM, Fazen CH, Henry TC,...Brynildsen MP. (2014) The role of metabolism in bacterial persistence. Front Microbiol. 5: 70. Pubmed

Orman MA, Brynildsen MP. (2013) Dormancy is not necessary or sufficient for bacterial persistence. Antimicrob Agents Chemother. 57: 3230-39. Pubmed

Orman MA, Brynildsen MP. (2013) Establishment of a method to rapidly assay bacterial persister metabolism. Antimicrob Agents Chemother. 57: 4398-409. Pubmed

Amato SM, Orman MA, Brynildsen MP. (2013) Metabolic control of persister formation in Escherichia coli. Mol Cell. 50: 475-87. Pubmed

Robinson JL, Brynildsen MP. (2013) A kinetic platform to determine the fate of nitric oxide in Escherichia coli. PLoS Comput Biol. 9: e1003049. Pubmed

Brynildsen MP, Winkler JA, Spina CS, Macdonald IC, Collins JJ. (2013) Potentiating antibacterial activity by predictably enhancing endogenous microbial ROS production. Nat Biotechnol. 31 :160-5. Pubmed

Allison KR, Brynildsen MP, Collins JJ. (2011) Heterogeneous bacterial persisters and engineering approaches to eliminate them. Curr Opin Microbiol. 14: 593-98. PubMed

Allison KR, Brynildsen MP, Collins JJ. (2011) Metabolite-enabled eradication of bacterial persisters by aminoglycosides. Nature 473: 216-20. PubMed

Brynildsen MP, Liao JC. (2009) An integrated network approach identifies the isobutanol response network of Escherichia coli. Mol Syst Biol. 5: 277 PubMed

Brynildsen MP, Collins JJ. (2009) Systems biology makes it personal. Mol Cell. 34: 137-38. PubMed

Atsumi S, Cann AF, Connor MR,...Brynildsen MP,...Liao JC. (2008) Metabolic engineering of Escherichia coli for 1-butanol production. Metab Eng. 10: 305-11. PubMed

Brynildsen MP, Wu TY, Jang SS, Liao JC. (2007) Biological network mapping and source signal deduction. Bioinformatics. 23: 1783-91. PubMed

Brynildsen MP, Tran LM, Liao JC. (2006) A Gibbs sampler for the identification of gene expression and network connectivity consistency. Bioinformatics. 22: 3040-46. PubMed

Brynildsen MP, Tran LM, Liao JC. (2006) Versatility and connectivity efficiency of bipartite transcription networks. Biophys J. 91: 2749-59. PubMed

Brynildsen MP, Wong WW, Liao JC. (2005) Transcriptional regulation and metabolism. Biochem Soc Trans. 33: 1423-26. PubMed

Yang YL, Suen J, Brynildsen MP, Galbraith S, Liao JC. (2005) Inferring yeast cell cycle regulators and interactions using transcription factor activities. BMC Genomics. 6: 90. PubMed

Tran LM, Brynildsen MP, Kao KC, Suen JK, Liao JC. (2005) gNCA: A framework for determining transcription factor activity based on transcriptome: Identifiability and numerical implementation. Metab Eng. 7: 128-41. PubMed


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