Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance
M. Lukacisinova, B. Fernando, M.T. Bollenbach, Nature Communications 11 (2020).

Emergent gene expression responses to drug combinations predict higher-order drug interactions
M. Lukacisin, M.T. Bollenbach, Cell Systems 9 (2019) 423-433.e1-e3.

Temporal order and precision of complex stress responses in individual bacteria
K. Mitosch, G. Rieckh, M.T. Bollenbach, Molecular Systems Biology 15 (2019).

Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment
K. Mitosch, G. Rieckh, M.T. Bollenbach, Cell Systems 4 (2017) 393–403.

Toward a quantitative understanding of antibiotic resistance evolution
M. Lukacisinova, M.T. Bollenbach, Current Opinion in Biotechnology 46 (2017) 90–97.

Antimicrobial interactions: Mechanisms and implications for drug discovery and resistance evolution
M.T. Bollenbach, Current Opinion in Microbiology 27 (2015) 1–9.

Systematic discovery of drug interaction mechanisms
G. Chevereau, M.T. Bollenbach, Molecular Systems Biology 11 (2015).

Quantifying the determinants of evolutionary dynamics leading to drug resistance
G. Chevereau, M. Lukacisinova, T. Batur, A. Guvenek, D. Ayhan, E. Toprak, M.T. Bollenbach, PLoS Biology 13 (2015).

Bacterial responses to antibiotics and their combinations
K. Mitosch, M.T. Bollenbach, Environmental Microbiology Reports 6 (2014) 545–557.