Angermayr A, Pang TY, Chevereau G, Mitosch K, Lercher MJ, Bollenbach MT. Growthmediated negative feedback shapes quantitative antibiotic response. Molecular Systems Biology. 2022;18(9). doi:10.15252/msb.202110490
LibreCat: https://research-explorer.ista.ac.at/record/12261
DOI: 10.15252/msb.202110490
WoS: 000856482800001

Lukacisin M, Bollenbach MT. Emergent gene expression responses to drug combinations predict higher-order drug interactions. Cell Systems. 2019;9(5):423-433.e1-e3. doi:10.1016/j.cels.2019.10.004
LibreCat: https://research-explorer.ista.ac.at/record/7026
DOI: 10.1016/j.cels.2019.10.004
WoS: 000499495400003

Lukacisin M. Quantitative investigation of gene expression principles through combinatorial drug perturbation and theory. 2019. doi:10.15479/AT:ISTA:6392
LibreCat: https://research-explorer.ista.ac.at/record/6392
DOI: 10.15479/AT:ISTA:6392

Lukacisinova M. Genetic determinants of antibiotic resistance evolution. 2018. doi:10.15479/AT:ISTA:th1072
LibreCat: https://research-explorer.ista.ac.at/record/6263
DOI: 10.15479/AT:ISTA:th1072

Du W, Angermayr A, Jongbloets J, et al. Nonhierarchical flux regulation exposes the fitness burden associated with lactate production in Synechocystis sp. P. ACS Synthetic Biology. 2017;6(3):395-401. doi:10.1021/acssynbio.6b00235
LibreCat: https://research-explorer.ista.ac.at/record/520
DOI: 10.1021/acssynbio.6b00235
PMID: 27936615

Mitosch K. Timing, variability and cross-protection in bacteria – insights from dynamic gene expression responses to antibiotics. 2017. doi:10.15479/AT:ISTA:th_862
LibreCat: https://research-explorer.ista.ac.at/record/818
DOI: 10.15479/AT:ISTA:th_862

Mitosch K, Rieckh G, Bollenbach MT. Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment. Cell Systems. 2017;4(4):393-403. doi:10.1016/j.cels.2017.03.001
LibreCat: https://research-explorer.ista.ac.at/record/666
DOI: 10.1016/j.cels.2017.03.001

de Vos M, Zagórski MP, Mcnally A, Bollenbach MT. Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections. PNAS. 2017;114(40):10666-10671. doi:10.1073/pnas.1713372114
LibreCat: https://research-explorer.ista.ac.at/record/822
DOI: 10.1073/pnas.1713372114
WoS: 000412130500061
PMID: 28923953

Lukacisin M. MATLAB analysis code for “Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast.”10.15479/AT:ISTA:64__2017. doi:10.15479/AT:ISTA:64
LibreCat: https://research-explorer.ista.ac.at/record/5563
DOI: 10.15479/AT:ISTA:64

Lukacisin M, Landon M, Jajoo R. Sequence-specific thermodynamic properties of nucleic acids influence both transcriptional pausing and backtracking in yeast. PLoS One. 2017;12(3). doi:10.1371/journal.pone.0174066
LibreCat: https://research-explorer.ista.ac.at/record/1029
DOI: 10.1371/journal.pone.0174066
WoS: 000396318300121

Lukacisinova M, Novak S, Paixao T. Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes. PLoS Computational Biology. 2017;13(7). doi:10.1371/journal.pcbi.1005609
LibreCat: https://research-explorer.ista.ac.at/record/696
DOI: 10.1371/journal.pcbi.1005609

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

Schwarz J, Bierbaum V, Merrin J, et al. A microfluidic device for measuring cell migration towards substrate bound and soluble chemokine gradients. Scientific Reports. 2016;6. doi:10.1038/srep36440
LibreCat: https://research-explorer.ista.ac.at/record/1154
DOI: 10.1038/srep36440

Angermayr A, Van Alphen P, Hasdemir D, et al. Culturing synechocystis sp. Strain pcc 6803 with N2 and CO2 in a diel regime reveals multiphase glycogen dynamics with low maintenance costs. Applied and Environmental Microbiology. 2016;82(14):4180-4189. doi:10.1128/AEM.00256-16
LibreCat: https://research-explorer.ista.ac.at/record/1218
DOI: 10.1128/AEM.00256-16

Qi Q, Toll Riera M, Heilbron K, Preston G, Maclean RC. The genomic basis of adaptation to the fitness cost of rifampicin resistance in Pseudomonas aeruginosa. Proceedings of the Royal Society of London Series B Biological Sciences. 2016;283(1822). doi:10.1098/rspb.2015.2452
LibreCat: https://research-explorer.ista.ac.at/record/1552
DOI: 10.1098/rspb.2015.2452

Lukacisin M, Landon M, Jajoo R. MATLAB analysis code for “Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast.”10.15479/AT:ISTA:45__2016. doi:10.15479/AT:ISTA:45
LibreCat: https://research-explorer.ista.ac.at/record/5556
DOI: 10.15479/AT:ISTA:45

de Vos M, Dawid A, Sunderlíková V, Tans S. Breaking evolutionary constraint with a tradeoff ratchet. PNAS. 2015;112(48):14906-14911. doi:10.1073/pnas.1510282112
LibreCat: https://research-explorer.ista.ac.at/record/1571
DOI: 10.1073/pnas.1510282112

Bollenbach MT, Heisenberg C-PJ. Gradients are shaping up. Cell. 2015;161(3):431-432. doi:10.1016/j.cell.2015.04.009
LibreCat: https://research-explorer.ista.ac.at/record/1581
DOI: 10.1016/j.cell.2015.04.009

Angermayr A, Gorchs A, Hellingwerf K. Metabolic engineering of cyanobacteria for the synthesis of commodity products. Trends in Biotechnology. 2015;33(6):352-361. doi:10.1016/j.tibtech.2015.03.009
LibreCat: https://research-explorer.ista.ac.at/record/1586
DOI: 10.1016/j.tibtech.2015.03.009

Hammar P, Angermayr A, Sjostrom S, et al. Single-cell screening of photosynthetic growth and lactate production by cyanobacteria. Biotechnology for Biofuels. 2015;8(1). doi:10.1186/s13068-015-0380-2
LibreCat: https://research-explorer.ista.ac.at/record/1623
DOI: 10.1186/s13068-015-0380-2