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).
LibreCat: https://research-explorer.ista.ac.at/record/12261
DOI: 10.15252/msb.202110490
WoS: 000856482800001

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.
LibreCat: https://research-explorer.ista.ac.at/record/7026
DOI: 10.1016/j.cels.2019.10.004
WoS: 000499495400003

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.
LibreCat: https://research-explorer.ista.ac.at/record/6392
DOI: 10.15479/AT:ISTA:6392

Genetic determinants of antibiotic resistance evolution
M. Lukacisinova, Genetic Determinants of Antibiotic Resistance Evolution, Institute of Science and Technology Austria, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/6263
DOI: 10.15479/AT:ISTA:th1072

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.
LibreCat: https://research-explorer.ista.ac.at/record/520
DOI: 10.1021/acssynbio.6b00235
PMID: 27936615

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.
LibreCat: https://research-explorer.ista.ac.at/record/818
DOI: 10.15479/AT:ISTA:th_862

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.
LibreCat: https://research-explorer.ista.ac.at/record/666
DOI: 10.1016/j.cels.2017.03.001

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.
LibreCat: https://research-explorer.ista.ac.at/record/822
DOI: 10.1073/pnas.1713372114
WoS: 000412130500061
PMID: 28923953

MATLAB analysis code for 'Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast'
M. Lukacisin, (2017).
LibreCat: https://research-explorer.ista.ac.at/record/5563
DOI: 10.15479/AT:ISTA:64

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).
LibreCat: https://research-explorer.ista.ac.at/record/1029
DOI: 10.1371/journal.pone.0174066
WoS: 000396318300121

Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes
M. Lukacisinova, S. Novak, T. Paixao, PLoS Computational Biology 13 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/696
DOI: 10.1371/journal.pcbi.1005609

Toward a quantitative understanding of antibiotic resistance evolution
M. Lukacisinova, M.T. Bollenbach, Current Opinion in Biotechnology 46 (2017) 90–97.
LibreCat: https://research-explorer.ista.ac.at/record/1027
DOI: 10.1016/j.copbio.2017.02.013
WoS: 000408077400015

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).
LibreCat: https://research-explorer.ista.ac.at/record/1154
DOI: 10.1038/srep36440

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.
LibreCat: https://research-explorer.ista.ac.at/record/1218
DOI: 10.1128/AEM.00256-16

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).
LibreCat: https://research-explorer.ista.ac.at/record/1552
DOI: 10.1098/rspb.2015.2452

MATLAB analysis code for 'Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast'
M. Lukacisin, M. Landon, R. Jajoo, (2016).
LibreCat: https://research-explorer.ista.ac.at/record/5556
DOI: 10.15479/AT:ISTA:45

Breaking evolutionary constraint with a tradeoff ratchet
M. de Vos, A. Dawid, V. Sunderlíková, S. Tans, PNAS 112 (2015) 14906–14911.
LibreCat: https://research-explorer.ista.ac.at/record/1571
DOI: 10.1073/pnas.1510282112

Gradients are shaping up
M.T. Bollenbach, C.-P.J. Heisenberg, Cell 161 (2015) 431–432.
LibreCat: https://research-explorer.ista.ac.at/record/1581
DOI: 10.1016/j.cell.2015.04.009

Metabolic engineering of cyanobacteria for the synthesis of commodity products
A. Angermayr, A. Gorchs, K. Hellingwerf, Trends in Biotechnology 33 (2015) 352–361.
LibreCat: https://research-explorer.ista.ac.at/record/1586
DOI: 10.1016/j.tibtech.2015.03.009

Single-cell screening of photosynthetic growth and lactate production by cyanobacteria
P. Hammar, A. Angermayr, S. Sjostrom, J. Van Der Meer, K. Hellingwerf, E. Hudson, H. Joensson, Biotechnology for Biofuels 8 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/1623
DOI: 10.1186/s13068-015-0380-2