{"oa":1,"pubrep_id":"901","author":[{"id":"39B66846-F248-11E8-B48F-1D18A9856A87","last_name":"Mitosch","first_name":"Karin","full_name":"Mitosch, Karin"},{"last_name":"Rieckh","id":"34DA8BD6-F248-11E8-B48F-1D18A9856A87","full_name":"Rieckh, Georg","first_name":"Georg"},{"id":"3E6DB97A-F248-11E8-B48F-1D18A9856A87","last_name":"Bollenbach","first_name":"Tobias","full_name":"Bollenbach, Tobias","orcid":"0000-0003-4398-476X"}],"abstract":[{"text":"Antibiotics elicit drastic changes in microbial gene expression, including the induction of stress response genes. While certain stress responses are known to “cross-protect” bacteria from other stressors, it is unclear whether cellular responses to antibiotics have a similar protective role. By measuring the genome-wide transcriptional response dynamics of Escherichia coli to four antibiotics, we found that trimethoprim induces a rapid acid stress response that protects bacteria from subsequent exposure to acid. Combining microfluidics with time-lapse imaging to monitor survival and acid stress response in single cells revealed that the noisy expression of the acid resistance operon gadBC correlates with single-cell survival. Cells with higher gadBC expression following trimethoprim maintain higher intracellular pH and survive the acid stress longer. The seemingly random single-cell survival under acid stress can therefore be predicted from gadBC expression and rationalized in terms of GadB/C molecular function. Overall, we provide a roadmap for identifying the molecular mechanisms of single-cell cross-protection between antibiotics and other stressors.","lang":"eng"}],"scopus_import":1,"article_processing_charge":"Yes (in subscription journal)","file":[{"file_name":"IST-2017-901-v1+1_1-s2.0-S2405471217300868-main.pdf","access_level":"open_access","checksum":"04ff20011c3d9a601c514aa999a5fe1a","relation":"main_file","file_size":2438660,"date_created":"2018-12-12T10:13:54Z","date_updated":"2020-07-14T12:47:35Z","file_id":"5041","creator":"system","content_type":"application/pdf"}],"corr_author":"1","file_date_updated":"2020-07-14T12:47:35Z","doi":"10.1016/j.cels.2017.03.001","publication_status":"published","volume":4,"publication_identifier":{"issn":["24054712"]},"publisher":"Cell Press","tmp":{"short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","image":"/images/cc_by_nc_nd.png","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"day":"26","title":"Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","date_updated":"2024-10-09T20:57:53Z","department":[{"_id":"ToBo"},{"_id":"GaTk"}],"month":"04","publication":"Cell Systems","year":"2017","language":[{"iso":"eng"}],"quality_controlled":"1","status":"public","project":[{"_id":"25E83C2C-B435-11E9-9278-68D0E5697425","name":"Optimality principles in responses to antibiotics","grant_number":"303507","call_identifier":"FP7"},{"_id":"25E9AF9E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Revealing the mechanisms underlying drug interactions","grant_number":"P27201-B22"},{"_id":"25EB3A80-B435-11E9-9278-68D0E5697425","grant_number":"RGP0042/2013","name":"Revealing the fundamental limits of cell growth"}],"date_published":"2017-04-26T00:00:00Z","page":"393 - 403","type":"journal_article","ddc":["576","610"],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","oa_version":"Published Version","date_created":"2018-12-11T11:47:48Z","has_accepted_license":"1","ec_funded":1,"citation":{"ista":"Mitosch K, Rieckh G, Bollenbach MT. 2017. Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment. Cell Systems. 4(4), 393–403.","short":"K. Mitosch, G. Rieckh, M.T. Bollenbach, Cell Systems 4 (2017) 393–403.","apa":"Mitosch, K., Rieckh, G., & Bollenbach, M. T. (2017). Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment. Cell Systems. Cell Press. https://doi.org/10.1016/j.cels.2017.03.001","ieee":"K. Mitosch, G. Rieckh, and M. T. Bollenbach, “Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment,” Cell Systems, vol. 4, no. 4. Cell Press, pp. 393–403, 2017.","mla":"Mitosch, Karin, et al. “Noisy Response to Antibiotic Stress Predicts Subsequent Single Cell Survival in an Acidic Environment.” Cell Systems, vol. 4, no. 4, Cell Press, 2017, pp. 393–403, doi:10.1016/j.cels.2017.03.001.","ama":"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","chicago":"Mitosch, Karin, Georg Rieckh, and Mark Tobias Bollenbach. “Noisy Response to Antibiotic Stress Predicts Subsequent Single Cell Survival in an Acidic Environment.” Cell Systems. Cell Press, 2017. https://doi.org/10.1016/j.cels.2017.03.001."},"publist_id":"7061","issue":"4","intvolume":" 4","_id":"666","related_material":{"record":[{"id":"818","status":"public","relation":"dissertation_contains"}]}}