[{"month":"04","language":[{"iso":"eng"}],"project":[{"call_identifier":"FP7","_id":"25E83C2C-B435-11E9-9278-68D0E5697425","grant_number":"303507","name":"Optimality principles in responses to antibiotics"},{"call_identifier":"FWF","_id":"25E9AF9E-B435-11E9-9278-68D0E5697425","name":"Revealing the mechanisms underlying drug interactions","grant_number":"P27201-B22"},{"grant_number":"RGP0042/2013","name":"Revealing the fundamental limits of cell growth","_id":"25EB3A80-B435-11E9-9278-68D0E5697425"}],"ddc":["576","610"],"day":"26","intvolume":"         4","file":[{"file_id":"5041","date_updated":"2020-07-14T12:47:35Z","checksum":"04ff20011c3d9a601c514aa999a5fe1a","file_name":"IST-2017-901-v1+1_1-s2.0-S2405471217300868-main.pdf","file_size":2438660,"creator":"system","access_level":"open_access","relation":"main_file","date_created":"2018-12-12T10:13:54Z","content_type":"application/pdf"}],"publication_status":"published","scopus_import":1,"quality_controlled":"1","pubrep_id":"901","date_published":"2017-04-26T00:00:00Z","author":[{"full_name":"Mitosch, Karin","id":"39B66846-F248-11E8-B48F-1D18A9856A87","first_name":"Karin","last_name":"Mitosch"},{"full_name":"Rieckh, Georg","id":"34DA8BD6-F248-11E8-B48F-1D18A9856A87","first_name":"Georg","last_name":"Rieckh"},{"id":"3E6DB97A-F248-11E8-B48F-1D18A9856A87","full_name":"Bollenbach, Tobias","last_name":"Bollenbach","orcid":"0000-0003-4398-476X","first_name":"Tobias"}],"article_processing_charge":"Yes (in subscription journal)","date_updated":"2023-09-07T12:00:25Z","doi":"10.1016/j.cels.2017.03.001","related_material":{"record":[{"id":"818","status":"public","relation":"dissertation_contains"}]},"tmp":{"short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"file_date_updated":"2020-07-14T12:47:35Z","citation":{"short":"K. Mitosch, G. Rieckh, M.T. Bollenbach, Cell Systems 4 (2017) 393–403.","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.","mla":"Mitosch, Karin, et al. “Noisy Response to Antibiotic Stress Predicts Subsequent Single Cell Survival in an Acidic Environment.” <i>Cell Systems</i>, vol. 4, no. 4, Cell Press, 2017, pp. 393–403, doi:<a href=\"https://doi.org/10.1016/j.cels.2017.03.001\">10.1016/j.cels.2017.03.001</a>.","ama":"Mitosch K, Rieckh G, Bollenbach MT. Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment. <i>Cell Systems</i>. 2017;4(4):393-403. doi:<a href=\"https://doi.org/10.1016/j.cels.2017.03.001\">10.1016/j.cels.2017.03.001</a>","apa":"Mitosch, K., Rieckh, G., &#38; Bollenbach, M. T. (2017). Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment. <i>Cell Systems</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.cels.2017.03.001\">https://doi.org/10.1016/j.cels.2017.03.001</a>","ieee":"K. Mitosch, G. Rieckh, and M. T. Bollenbach, “Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment,” <i>Cell Systems</i>, vol. 4, no. 4. Cell Press, pp. 393–403, 2017.","chicago":"Mitosch, Karin, Georg Rieckh, and Mark Tobias Bollenbach. “Noisy Response to Antibiotic Stress Predicts Subsequent Single Cell Survival in an Acidic Environment.” <i>Cell Systems</i>. Cell Press, 2017. <a href=\"https://doi.org/10.1016/j.cels.2017.03.001\">https://doi.org/10.1016/j.cels.2017.03.001</a>."},"publication_identifier":{"issn":["24054712"]},"oa":1,"status":"public","issue":"4","_id":"666","year":"2017","has_accepted_license":"1","volume":4,"page":"393 - 403","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","type":"journal_article","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"}],"ec_funded":1,"date_created":"2018-12-11T11:47:48Z","oa_version":"Published Version","publist_id":"7061","publication":"Cell Systems","title":"Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment","department":[{"_id":"ToBo"},{"_id":"GaTk"}],"publisher":"Cell Press"}]