Project A1
Cellular mechanisms of drug resistance evolution
Tobias Bollenbach, U Cologne | web | email
This project takes a systems-biology approach to the evolution of drug resistance in Escherichia coli. The central goal of this project is to increase the predictability of resistance evolution by systematically identifying quantitative determinants and cellular pathways that affect the rate of adaptation. We address this goal using a combined approach of massively parallel experiments and model building.
Predictability in Evolution
Collaborative Research Center 1310
Publications
Rathmann I., Förster M., Yüksel M., Horst L., Petrungaro G., Bollenbach T., Maier B., ISME J, 12. October 2022,
https://www.nature.com/articles/s41396-022-01325-5
Growth-mediated negative feedback shapes quantitative antibiotic response
Angermayr S.A., Pang T.Y., Chevereau G., Mitosch K., Lercher M.J., Bollenbach T., Mol Syst Biol., 20. September 2022,
https://doi.org/10.15252/msb.202110490
Minimal biophysical model of combined antibiotic action
Kavči B., Tkačik G., Bollenbach T., PLoS Comput Biol 17(1): e1008529, 7. January 2021,
https://doi.org/10.1371/journal.pcbi.1008529
Mechanisms of drug interactions between translation-inhibiting antibiotics
Kavčič B., Tkačik G. & Bollenbach T., Nat Commun 11, 4013, 11. August 2020,
https://doi.org/10.1038/s41467-020-17734-z
Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance
Lukačišinová M., Fernando B., Bollenbach T., Nat Commun 11, 31051, 19. June 2020,
https://doi.org/10.1038/s41467-020-16932-z
Emergent Gene Expression Responses to Drug Combinations Predict Higher-Order Drug Interactions
Lukačišin M., Bollenbach T.,Cell Systems 9(5), P423-433.E3, 13. November 2019,
https://doi.org/10.1016/j.cels.2019.10.004
Emergent Gene Expression Responses to Drug Combinations Predict Higher-Order Drug Interactions
Lukačišin M., Bollenbach T.,Cell Systems 9(5), P423-433.E3, 13. November 2019,
https://doi.org/10.1016/j.cels.2019.10.004
Temporal order and precision of complex stress responses in individual bacteria
Mitosch K., Rieckh G., Bollenbach T., Mol Syst Biol (2019)15:e8470, 14. February 2019,
https://doi.org/10.15252/msb.20188470
Mitosch K., Rieckh G., Bollenbach T., Cell Syst. 4: 393–403.e5, 22. March 2017, https://doi.org/10.1016/j.cels.2017.03.001
Toward a quantitative understanding of antibiotic resistance evolution
Lukačišinová M. & Bollenbach T., Curr. Opin. Biotechnol. 46: 90–97, 11. March 2017, https://doi.org/10.1016/j.copbio.2017.02.013