{"tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","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"},"issue":"4","oa_version":"Published Version","article_processing_charge":"Yes (in subscription journal)","title":"Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment","status":"public","intvolume":"         4","ec_funded":1,"publist_id":"7061","department":[{"_id":"ToBo"},{"_id":"GaTk"}],"oa":1,"_id":"666","pubrep_id":"901","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"393 - 403","language":[{"iso":"eng"}],"type":"journal_article","has_accepted_license":"1","ddc":["576","610"],"month":"04","file_date_updated":"2020-07-14T12:47:35Z","publisher":"Cell Press","day":"26","project":[{"call_identifier":"FP7","name":"Optimality principles in responses to antibiotics","_id":"25E83C2C-B435-11E9-9278-68D0E5697425","grant_number":"303507"},{"_id":"25E9AF9E-B435-11E9-9278-68D0E5697425","name":"Revealing the mechanisms underlying drug interactions","call_identifier":"FWF","grant_number":"P27201-B22"},{"grant_number":"RGP0042/2013","name":"Revealing the fundamental limits of cell growth","_id":"25EB3A80-B435-11E9-9278-68D0E5697425"}],"quality_controlled":"1","corr_author":"1","publication":"Cell Systems","year":"2017","date_published":"2017-04-26T00:00:00Z","publication_status":"published","volume":4,"file":[{"file_size":2438660,"date_updated":"2020-07-14T12:47:35Z","creator":"system","checksum":"04ff20011c3d9a601c514aa999a5fe1a","date_created":"2018-12-12T10:13:54Z","content_type":"application/pdf","file_id":"5041","file_name":"IST-2017-901-v1+1_1-s2.0-S2405471217300868-main.pdf","relation":"main_file","access_level":"open_access"}],"date_created":"2018-12-11T11:47:48Z","author":[{"full_name":"Mitosch, Karin","first_name":"Karin","id":"39B66846-F248-11E8-B48F-1D18A9856A87","last_name":"Mitosch"},{"first_name":"Georg","full_name":"Rieckh, Georg","last_name":"Rieckh","id":"34DA8BD6-F248-11E8-B48F-1D18A9856A87"},{"id":"3E6DB97A-F248-11E8-B48F-1D18A9856A87","last_name":"Bollenbach","full_name":"Bollenbach, Tobias","first_name":"Tobias","orcid":"0000-0003-4398-476X"}],"date_updated":"2025-04-17T16:08:59Z","publication_identifier":{"issn":["2405-4712"]},"related_material":{"record":[{"id":"818","relation":"dissertation_contains","status":"public"}]},"abstract":[{"lang":"eng","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."}],"scopus_import":"1","doi":"10.1016/j.cels.2017.03.001"}