Davidovi, A., Chait, R. P., Batt, G., &; Ruess, J. (2022). Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1009950 
LibreCat: https://research-explorer.ista.ac.at/record/10939
DOI: 10.1371/journal.pcbi.1009950

Zisis, T., Schwarz, J., Balles, M., Kretschmer, M., Nemethova, M., Chait, R. P.,https://doi.org/10.1021/acsami.1c09850__Zahler, S. (2021). Sequential and switchable patterning for studying cellular processes under spatiotemporal control. ACS Applied Materials and Interfaces. American Chemical Society.https://doi.org/10.1021/acsami.1c09850 
LibreCat: https://research-explorer.ista.ac.at/record/9822
DOI: 10.1021/acsami.1c09850
WoS: 000683741400026
PMID: 34283577

Palmer, A., Chait, R. P., &; Kishony, R. (2018). Nonoptimal gene expression creates latent potential for antibiotic resistance. Molecular Biology and Evolution. Oxford University Press.https://doi.org/10.1093/molbev/msy163 
LibreCat: https://research-explorer.ista.ac.at/record/19
DOI: 10.1093/molbev/msy163
WoS: 000452567200006
PMID: 30169679

Chait, R. P., Ruess, J., Bergmiller, T., Tkadik, G., &; Guet, C. C. (2017). Shaping bacterial population behavior through computer interfaced control of individual cells. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/s41467-017-01683-1 
LibreCat: https://research-explorer.ista.ac.at/record/613
DOI: 10.1038/s41467-017-01683-1

Stone, L., Baym, M., Lieberman, T., Chait, R. P., Clardy, J., &; Kishony, R. (2016). Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology. Nature Publishing Group.https://doi.org/10.1038/nchembio.2176 
LibreCat: https://research-explorer.ista.ac.at/record/1290
DOI: 10.1038/nchembio.2176

Chait, R. P., Palmer, A., Yelin, I., &; Kishony, R. (2016). Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/ncomms10333 
LibreCat: https://research-explorer.ista.ac.at/record/1332
DOI: 10.1038/ncomms10333

Baym, M., Lieberman, T., Kelsic, E., Chait, R. P., Gross, R., Yelin, I., &; Kishony, R. (2016). Spatiotemporal microbial evolution on antibiotic landscapes. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.aag0822 
LibreCat: https://research-explorer.ista.ac.at/record/1342
DOI: 10.1126/science.aag0822

Wakamoto, Y., Dhar, N., Chait, R. P., Schneider, K., Signorino Gelo, F., Leibler, S., &; Mckinney, J. (2013). Dynamic persistence of antibiotic-stressed mycobacteria. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.1229858 
LibreCat: https://research-explorer.ista.ac.at/record/499
DOI: 10.1126/science.1229858

Bollenbach, T., Quan, S., Chait, R. P., &; Kishony, R. (2009). Nonoptimal Microbial Response to Antibiotics Underlies Suppressive Drug Interactions. Cell. Cell Press.https://doi.org/10.1016/j.cell.2009.10.025 
LibreCat: https://research-explorer.ista.ac.at/record/4228
DOI: 10.1016/j.cell.2009.10.025