Growthmediated negative feedback shapes quantitative antibiotic response
A. Angermayr, T.Y. Pang, G. Chevereau, K. Mitosch, M.J. Lercher, M.T. Bollenbach, Molecular Systems Biology 18 (2022).

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.

Quantitative investigation of gene expression principles through combinatorial drug perturbation and theory
M. Lukacisin, Quantitative Investigation of Gene Expression Principles through Combinatorial Drug Perturbation and Theory, IST Austria, 2019.

Genetic determinants of antibiotic resistance evolution
M. Lukacisinova, Genetic Determinants of Antibiotic Resistance Evolution, Institute of Science and Technology Austria, 2018.

Nonhierarchical flux regulation exposes the fitness burden associated with lactate production in Synechocystis sp. P
W. Du, A. Angermayr, J. Jongbloets, D. Molenaar, H. Bachmann, K. Hellingwerf, F. Branco Dos Santos, ACS Synthetic Biology 6 (2017) 395–401.

Modelling and simulation details
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Extensions of the model
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Heuristic prediction for multiple stresses
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Resistance frequencies for different combination strategies
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Timing, variability and cross-protection in bacteria – insights from dynamic gene expression responses to antibiotics
K. Mitosch, Timing, Variability and Cross-Protection in Bacteria – Insights from Dynamic Gene Expression Responses to Antibiotics, Institute of Science and Technology Austria, 2017.

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.

Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections
M. de Vos, M.P. Zagórski, A. Mcnally, M.T. Bollenbach, PNAS 114 (2017) 10666–10671.

Sequence-specific thermodynamic properties of nucleic acids influence both transcriptional pausing and backtracking in yeast
M. Lukacisin, M. Landon, R. Jajoo, PLoS One 12 (2017).

Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes
M. Lukacisinova, S. Novak, T. Paixao, PLoS Computational Biology 13 (2017).

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

A microfluidic device for measuring cell migration towards substrate bound and soluble chemokine gradients
J. Schwarz, V. Bierbaum, J. Merrin, T. Frank, R. Hauschild, M.T. Bollenbach, S. Tay, M.K. Sixt, M. Mehling, Scientific Reports 6 (2016).

Culturing synechocystis sp. Strain pcc 6803 with N2 and CO2 in a diel regime reveals multiphase glycogen dynamics with low maintenance costs
A. Angermayr, P. Van Alphen, D. Hasdemir, G. Kramer, M. Iqbal, W. Van Grondelle, H. Hoefsloot, Y. Choi, K. Hellingwerf, Applied and Environmental Microbiology 82 (2016) 4180–4189.

The genomic basis of adaptation to the fitness cost of rifampicin resistance in Pseudomonas aeruginosa
Q. Qi, M. Toll Riera, K. Heilbron, G. Preston, R.C. Maclean, Proceedings of the Royal Society of London Series B Biological Sciences 283 (2016).

Breaking evolutionary constraint with a tradeoff ratchet
M. de Vos, A. Dawid, V. Sunderlíková, S. Tans, PNAS 112 (2015) 14906–14911.

Gradients are shaping up
M.T. Bollenbach, C.-P.J. Heisenberg, Cell 161 (2015) 431–432.