Marta Lukacisinova
Bollenbach Group
12 Publications
2020 | Published | Journal Article | IST-REx-ID: 8037 |
Lukacisinova M, Fernando B, Bollenbach MT. Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance. Nature Communications. 2020;11. doi:10.1038/s41467-020-16932-z
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| PubMed | Europe PMC
2018 | Published | Thesis | IST-REx-ID: 6263 |
Lukacisinova M. Genetic determinants of antibiotic resistance evolution. 2018. doi:10.15479/AT:ISTA:th1072
[Published Version]
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2017 | Published | Journal Article | IST-REx-ID: 696 |
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
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2017 | Research Data Reference | IST-REx-ID: 9849
Lukacisinova M, Novak S, Paixao T. Modelling and simulation details. 2017. doi:10.1371/journal.pcbi.1005609.s001
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2017 | Research Data Reference | IST-REx-ID: 9850
Lukacisinova M, Novak S, Paixao T. Extensions of the model. 2017. doi:10.1371/journal.pcbi.1005609.s002
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2017 | Research Data Reference | IST-REx-ID: 9851
Lukacisinova M, Novak S, Paixao T. Heuristic prediction for multiple stresses. 2017. doi:10.1371/journal.pcbi.1005609.s003
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2017 | Research Data Reference | IST-REx-ID: 9852
Lukacisinova M, Novak S, Paixao T. Resistance frequencies for different combination strategies. 2017. doi:10.1371/journal.pcbi.1005609.s004
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2017 | Published | Journal Article | IST-REx-ID: 1027 |
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
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| WoS
2015 | Published | Journal Article | IST-REx-ID: 1509 |
Michalko J, Lukacisinova M, Bollenbach MT, Friml J. Embryo-lethal phenotypes in early abp1 mutants are due to disruption of the neighboring BSM gene. F1000 Research . 2015;4. doi:10.12688/f1000research.7143.1
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2015 | Published | Journal Article | IST-REx-ID: 1619 |
Chevereau G, Lukacisinova M, Batur T, et al. Quantifying the determinants of evolutionary dynamics leading to drug resistance. PLoS Biology. 2015;13(11). doi:10.1371/journal.pbio.1002299
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2015 | Research Data Reference | IST-REx-ID: 9711
Chevereau G, Lukacisinova M, Batur T, et al. Excel file containing the raw data for all figures. 2015. doi:10.1371/journal.pbio.1002299.s001
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2015 | Research Data Reference | IST-REx-ID: 9765
Chevereau G, Lukacisinova M, Batur T, et al. Gene ontology enrichment analysis for the most sensitive gene deletion strains for all drugs. 2015. doi:10.1371/journal.pbio.1002299.s008
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Grants
12 Publications
2020 | Published | Journal Article | IST-REx-ID: 8037 |
Lukacisinova M, Fernando B, Bollenbach MT. Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance. Nature Communications. 2020;11. doi:10.1038/s41467-020-16932-z
[Published Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
2018 | Published | Thesis | IST-REx-ID: 6263 |
Lukacisinova M. Genetic determinants of antibiotic resistance evolution. 2018. doi:10.15479/AT:ISTA:th1072
[Published Version]
View
| Files available
| DOI
2017 | Published | Journal Article | IST-REx-ID: 696 |
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
[Published Version]
View
| Files available
| DOI
2017 | Research Data Reference | IST-REx-ID: 9849
Lukacisinova M, Novak S, Paixao T. Modelling and simulation details. 2017. doi:10.1371/journal.pcbi.1005609.s001
[Published Version]
View
| Files available
| DOI
2017 | Research Data Reference | IST-REx-ID: 9850
Lukacisinova M, Novak S, Paixao T. Extensions of the model. 2017. doi:10.1371/journal.pcbi.1005609.s002
[Published Version]
View
| Files available
| DOI
2017 | Research Data Reference | IST-REx-ID: 9851
Lukacisinova M, Novak S, Paixao T. Heuristic prediction for multiple stresses. 2017. doi:10.1371/journal.pcbi.1005609.s003
[Published Version]
View
| Files available
| DOI
2017 | Research Data Reference | IST-REx-ID: 9852
Lukacisinova M, Novak S, Paixao T. Resistance frequencies for different combination strategies. 2017. doi:10.1371/journal.pcbi.1005609.s004
[Published Version]
View
| Files available
| DOI
2017 | Published | Journal Article | IST-REx-ID: 1027 |
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
[Published Version]
View
| Files available
| DOI
| WoS
2015 | Published | Journal Article | IST-REx-ID: 1509 |
Michalko J, Lukacisinova M, Bollenbach MT, Friml J. Embryo-lethal phenotypes in early abp1 mutants are due to disruption of the neighboring BSM gene. F1000 Research . 2015;4. doi:10.12688/f1000research.7143.1
[Published Version]
View
| Files available
| DOI
2015 | Published | Journal Article | IST-REx-ID: 1619 |
Chevereau G, Lukacisinova M, Batur T, et al. Quantifying the determinants of evolutionary dynamics leading to drug resistance. PLoS Biology. 2015;13(11). doi:10.1371/journal.pbio.1002299
[Published Version]
View
| Files available
| DOI
2015 | Research Data Reference | IST-REx-ID: 9711
Chevereau G, Lukacisinova M, Batur T, et al. Excel file containing the raw data for all figures. 2015. doi:10.1371/journal.pbio.1002299.s001
[Published Version]
View
| Files available
| DOI
2015 | Research Data Reference | IST-REx-ID: 9765
Chevereau G, Lukacisinova M, Batur T, et al. Gene ontology enrichment analysis for the most sensitive gene deletion strains for all drugs. 2015. doi:10.1371/journal.pbio.1002299.s008
[Published Version]
View
| Files available
| DOI