--- _id: '11713' abstract: - lang: eng text: "Objective: MazF is a sequence-specific endoribonuclease-toxin of the MazEF toxin–antitoxin system. MazF cleaves single-stranded ribonucleic acid (RNA) regions at adenine–cytosine–adenine (ACA) sequences in the bacterium Escherichia coli. The MazEF system has been used in various biotechnology and synthetic biology applications. In this study, we infer how ectopic mazF overexpression affects production of heterologous proteins. To this end, we quantified the levels of fluorescent proteins expressed in E. coli from reporters translated from the ACA-containing or ACA-less messenger RNAs (mRNAs). Additionally, we addressed the impact of the 5′-untranslated region of these reporter mRNAs under the same conditions by comparing expression from mRNAs that comprise (canonical mRNA) or lack this region (leaderless mRNA).\r\nResults: Flow cytometry analysis indicates that during mazF overexpression, fluorescent proteins are translated from the canonical as well as leaderless mRNAs. Our analysis further indicates that longer mazF overexpression generally increases the concentration of fluorescent proteins translated from ACA-less mRNAs, however it also substantially increases bacterial population heterogeneity. Finally, our results suggest that the strength and duration of mazF overexpression should be optimized for each experimental setup, to maximize the heterologous protein production and minimize the amount of phenotypic heterogeneity in bacterial populations, which is unfavorable in biotechnological processes." acknowledgement: "We acknowledge the Max Perutz Labs FACS Facility together with Thomas Sauer. NN is grateful to Călin C. Guet for his support.\r\nThis work was funded by the Elise Richter grant V738 of the Austrian Science Fund (FWF), and the FWF Lise Meitner grant M1697, to NN; and by the FWF grant P22249, FWF Special Research Program RNA-REG F43 (subproject F4316), and FWF doctoral program RNA Biology (W1207), to IM. Open access funding provided by the Austrian Science Fund." article_number: '173' article_processing_charge: No article_type: letter_note author: - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 - first_name: Martina full_name: Sauert, Martina last_name: Sauert - first_name: Tanino G. full_name: Albanese, Tanino G. last_name: Albanese - first_name: Isabella full_name: Moll, Isabella last_name: Moll citation: ama: Nikolic N, Sauert M, Albanese TG, Moll I. Quantifying heterologous gene expression during ectopic MazF production in Escherichia coli. BMC Research Notes. 2022;15. doi:10.1186/s13104-022-06061-9 apa: Nikolic, N., Sauert, M., Albanese, T. G., & Moll, I. (2022). Quantifying heterologous gene expression during ectopic MazF production in Escherichia coli. BMC Research Notes. Springer Nature. https://doi.org/10.1186/s13104-022-06061-9 chicago: Nikolic, Nela, Martina Sauert, Tanino G. Albanese, and Isabella Moll. “Quantifying Heterologous Gene Expression during Ectopic MazF Production in Escherichia Coli.” BMC Research Notes. Springer Nature, 2022. https://doi.org/10.1186/s13104-022-06061-9. ieee: N. Nikolic, M. Sauert, T. G. Albanese, and I. Moll, “Quantifying heterologous gene expression during ectopic MazF production in Escherichia coli,” BMC Research Notes, vol. 15. Springer Nature, 2022. ista: Nikolic N, Sauert M, Albanese TG, Moll I. 2022. Quantifying heterologous gene expression during ectopic MazF production in Escherichia coli. BMC Research Notes. 15, 173. mla: Nikolic, Nela, et al. “Quantifying Heterologous Gene Expression during Ectopic MazF Production in Escherichia Coli.” BMC Research Notes, vol. 15, 173, Springer Nature, 2022, doi:10.1186/s13104-022-06061-9. short: N. Nikolic, M. Sauert, T.G. Albanese, I. Moll, BMC Research Notes 15 (2022). date_created: 2022-08-01T09:04:27Z date_published: 2022-05-13T00:00:00Z date_updated: 2022-08-01T09:27:40Z day: '13' ddc: - '570' department: - _id: CaGu doi: 10.1186/s13104-022-06061-9 external_id: pmid: - '35562780' file: - access_level: open_access checksum: 008156e5340e9789f0f6d82bde4d347a content_type: application/pdf creator: dernst date_created: 2022-08-01T09:24:42Z date_updated: 2022-08-01T09:24:42Z file_id: '11714' file_name: 2022_BMCResearchNotes_Nikolic.pdf file_size: 1545310 relation: main_file success: 1 file_date_updated: 2022-08-01T09:24:42Z has_accepted_license: '1' intvolume: ' 15' keyword: - General Biochemistry - Genetics and Molecular Biology - General Medicine language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '05' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 26956E74-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: V00738 name: Bacterial toxin-antitoxin systems as antiphage defense mechanisms publication: BMC Research Notes publication_identifier: issn: - 1756-0500 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: link: - relation: erratum url: https://doi.org/10.1186/s13104-022-06152-7 scopus_import: '1' status: public title: Quantifying heterologous gene expression during ectopic MazF production in Escherichia coli tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 15 year: '2022' ... --- _id: '11339' abstract: - lang: eng text: The interaction between a cell and its environment shapes fundamental intracellular processes such as cellular metabolism. In most cases growth rate is treated as a proximal metric for understanding the cellular metabolic status. However, changes in growth rate might not reflect metabolic variations in individuals responding to environmental fluctuations. Here we use single-cell microfluidics-microscopy combined with transcriptomics, proteomics and mathematical modelling to quantify the accumulation of glucose within Escherichia coli cells. In contrast to the current consensus, we reveal that environmental conditions which are comparatively unfavourable for growth, where both nutrients and salinity are depleted, increase glucose accumulation rates in individual bacteria and population subsets. We find that these changes in metabolic function are underpinned by variations at the translational and posttranslational level but not at the transcriptional level and are not dictated by changes in cell size. The metabolic response-characteristics identified greatly advance our fundamental understanding of the interactions between bacteria and their environment and have important ramifications when investigating cellular processes where salinity plays an important role. acknowledgement: G.G. was supported by an EPSRC DTP PhD studentship (EP/M506527/1). M.V. and K.T.A. gratefully acknowledge financial support from the EPSRC (EP/N014391/1). U.L. was supported through a BBSRC grant (BB/V008021/1) and an MRC Proximity to Discovery EXCITEME2 grant (MCPC17189). This work was further supported by a Royal Society Research Grant (RG180007) awarded to S.P. and a QUEX Initiator grant awarded to S.P. and K.T.A.. D.S.M., T.A.R. and S.P.’s work in this area is also supported by a Marie Skłodowska-Curie project SINGEK (H2020-MSCA-ITN-2015-675752) and the Gordon and Betty Moore Foundation Marine Microbiology Initiative (GBMF5514). B.M.I. acknowledges support from a Wellcome Trust Institutional Strategic Support Award to the University of Exeter (204909/Z/16/Z). This project utilised equipment funded by the Wellcome Trust Institutional Strategic Support Fund (WT097835MF), Wellcome Trust Multi User Equipment Award (WT101650MA) and BBSRC LOLA award (BB/K003240/1). article_number: '385' article_processing_charge: No article_type: original author: - first_name: Georgina full_name: Glover, Georgina last_name: Glover - first_name: Margaritis full_name: Voliotis, Margaritis last_name: Voliotis - first_name: Urszula full_name: Łapińska, Urszula last_name: Łapińska - first_name: Brandon M. full_name: Invergo, Brandon M. last_name: Invergo - first_name: Darren full_name: Soanes, Darren last_name: Soanes - first_name: Paul full_name: O’Neill, Paul last_name: O’Neill - first_name: Karen full_name: Moore, Karen last_name: Moore - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 - first_name: Peter full_name: Petrov, Peter last_name: Petrov - first_name: David S. full_name: Milner, David S. last_name: Milner - first_name: Sumita full_name: Roy, Sumita last_name: Roy - first_name: Kate full_name: Heesom, Kate last_name: Heesom - first_name: Thomas A. full_name: Richards, Thomas A. last_name: Richards - first_name: Krasimira full_name: Tsaneva-Atanasova, Krasimira last_name: Tsaneva-Atanasova - first_name: Stefano full_name: Pagliara, Stefano last_name: Pagliara citation: ama: Glover G, Voliotis M, Łapińska U, et al. Nutrient and salt depletion synergistically boosts glucose metabolism in individual Escherichia coli cells. Communications Biology. 2022;5. doi:10.1038/s42003-022-03336-6 apa: Glover, G., Voliotis, M., Łapińska, U., Invergo, B. M., Soanes, D., O’Neill, P., … Pagliara, S. (2022). Nutrient and salt depletion synergistically boosts glucose metabolism in individual Escherichia coli cells. Communications Biology. Springer Nature. https://doi.org/10.1038/s42003-022-03336-6 chicago: Glover, Georgina, Margaritis Voliotis, Urszula Łapińska, Brandon M. Invergo, Darren Soanes, Paul O’Neill, Karen Moore, et al. “Nutrient and Salt Depletion Synergistically Boosts Glucose Metabolism in Individual Escherichia Coli Cells.” Communications Biology. Springer Nature, 2022. https://doi.org/10.1038/s42003-022-03336-6. ieee: G. Glover et al., “Nutrient and salt depletion synergistically boosts glucose metabolism in individual Escherichia coli cells,” Communications Biology, vol. 5. Springer Nature, 2022. ista: Glover G, Voliotis M, Łapińska U, Invergo BM, Soanes D, O’Neill P, Moore K, Nikolic N, Petrov P, Milner DS, Roy S, Heesom K, Richards TA, Tsaneva-Atanasova K, Pagliara S. 2022. Nutrient and salt depletion synergistically boosts glucose metabolism in individual Escherichia coli cells. Communications Biology. 5, 385. mla: Glover, Georgina, et al. “Nutrient and Salt Depletion Synergistically Boosts Glucose Metabolism in Individual Escherichia Coli Cells.” Communications Biology, vol. 5, 385, Springer Nature, 2022, doi:10.1038/s42003-022-03336-6. short: G. Glover, M. Voliotis, U. Łapińska, B.M. Invergo, D. Soanes, P. O’Neill, K. Moore, N. Nikolic, P. Petrov, D.S. Milner, S. Roy, K. Heesom, T.A. Richards, K. Tsaneva-Atanasova, S. Pagliara, Communications Biology 5 (2022). date_created: 2022-05-01T22:01:41Z date_published: 2022-04-20T00:00:00Z date_updated: 2023-08-03T06:45:26Z day: '20' ddc: - '570' department: - _id: CaGu doi: 10.1038/s42003-022-03336-6 external_id: isi: - '000784143400001' pmid: - '35444215' file: - access_level: open_access checksum: 7c6f76ab17393d650825cc240edc84b3 content_type: application/pdf creator: dernst date_created: 2022-05-02T06:26:26Z date_updated: 2022-05-02T06:26:26Z file_id: '11342' file_name: 2022_CommBiology_Glover.pdf file_size: 2827723 relation: main_file success: 1 file_date_updated: 2022-05-02T06:26:26Z has_accepted_license: '1' intvolume: ' 5' isi: 1 language: - iso: eng month: '04' oa: 1 oa_version: Published Version pmid: 1 publication: Communications Biology publication_identifier: eissn: - 2399-3642 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Nutrient and salt depletion synergistically boosts glucose metabolism in individual Escherichia coli cells tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 5 year: '2022' ... --- _id: '138' abstract: - lang: eng text: Autoregulation is the direct modulation of gene expression by the product of the corresponding gene. Autoregulation of bacterial gene expression has been mostly studied at the transcriptional level, when a protein acts as the cognate transcriptional repressor. A recent study investigating dynamics of the bacterial toxin–antitoxin MazEF system has shown how autoregulation at both the transcriptional and post-transcriptional levels affects the heterogeneity of Escherichia coli populations. Toxin–antitoxin systems hold a crucial but still elusive part in bacterial response to stress. This perspective highlights how these modules can also serve as a great model system for investigating basic concepts in gene regulation. However, as the genomic background and environmental conditions substantially influence toxin activation, it is important to study (auto)regulation of toxin–antitoxin systems in well-defined setups as well as in conditions that resemble the environmental niche. article_processing_charge: Yes (via OA deal) author: - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 citation: ama: 'Nikolic N. Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system. Current Genetics. 2019;65(1):133-138. doi:10.1007/s00294-018-0879-8' apa: 'Nikolic, N. (2019). Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system. Current Genetics. Springer. https://doi.org/10.1007/s00294-018-0879-8' chicago: 'Nikolic, Nela. “Autoregulation of Bacterial Gene Expression: Lessons from the MazEF Toxin–Antitoxin System.” Current Genetics. Springer, 2019. https://doi.org/10.1007/s00294-018-0879-8.' ieee: 'N. Nikolic, “Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system,” Current Genetics, vol. 65, no. 1. Springer, pp. 133–138, 2019.' ista: 'Nikolic N. 2019. Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system. Current Genetics. 65(1), 133–138.' mla: 'Nikolic, Nela. “Autoregulation of Bacterial Gene Expression: Lessons from the MazEF Toxin–Antitoxin System.” Current Genetics, vol. 65, no. 1, Springer, 2019, pp. 133–38, doi:10.1007/s00294-018-0879-8.' short: N. Nikolic, Current Genetics 65 (2019) 133–138. date_created: 2018-12-11T11:44:50Z date_published: 2019-02-01T00:00:00Z date_updated: 2023-09-08T13:23:42Z day: '01' ddc: - '570' department: - _id: CaGu doi: 10.1007/s00294-018-0879-8 ec_funded: 1 external_id: isi: - '000456958800017' file: - access_level: open_access checksum: 6779708b0b632a1a6ed28c56f5161142 content_type: application/pdf creator: dernst date_created: 2019-02-06T07:50:58Z date_updated: 2020-07-14T12:44:47Z file_id: '5930' file_name: 2019_CurrentGenetics_Nikolic.pdf file_size: 776399 relation: main_file file_date_updated: 2020-07-14T12:44:47Z has_accepted_license: '1' intvolume: ' 65' isi: 1 issue: '1' language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: 133-138 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Current Genetics publication_status: published publisher: Springer publist_id: '7785' quality_controlled: '1' scopus_import: '1' status: public title: 'Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 65 year: '2019' ... --- _id: '438' abstract: - lang: eng text: The MazF toxin sequence-specifically cleaves single-stranded RNA upon various stressful conditions, and it is activated as a part of the mazEF toxin–antitoxin module in Escherichia coli. Although autoregulation of mazEF expression through the MazE antitoxin-dependent transcriptional repression has been biochemically characterized, less is known about post-transcriptional autoregulation, as well as how both of these autoregulatory features affect growth of single cells during conditions that promote MazF production. Here, we demonstrate post-transcriptional autoregulation of mazF expression dynamics by MazF cleaving its own transcript. Single-cell analyses of bacterial populations during ectopic MazF production indicated that two-level autoregulation of mazEF expression influences cell-to-cell growth rate heterogeneity. The increase in growth rate heterogeneity is governed by the MazE antitoxin, and tuned by the MazF-dependent mazF mRNA cleavage. Also, both autoregulatory features grant rapid exit from the stress caused by mazF overexpression. Time-lapse microscopy revealed that MazF-mediated cleavage of mazF mRNA leads to increased temporal variability in length of individual cells during ectopic mazF overexpression, as explained by a stochastic model indicating that mazEF mRNA cleavage underlies temporal fluctuations in MazF levels during stress. article_processing_charge: Yes (in subscription journal) author: - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Alexandra full_name: Vandervelde, Alexandra last_name: Vandervelde - first_name: Tanino full_name: Albanese, Tanino last_name: Albanese - first_name: Lendert full_name: Gelens, Lendert last_name: Gelens - first_name: Isabella full_name: Moll, Isabella last_name: Moll citation: ama: Nikolic N, Bergmiller T, Vandervelde A, Albanese T, Gelens L, Moll I. Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic Acids Research. 2018;46(6):2918-2931. doi:10.1093/nar/gky079 apa: Nikolic, N., Bergmiller, T., Vandervelde, A., Albanese, T., Gelens, L., & Moll, I. (2018). Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic Acids Research. Oxford University Press. https://doi.org/10.1093/nar/gky079 chicago: Nikolic, Nela, Tobias Bergmiller, Alexandra Vandervelde, Tanino Albanese, Lendert Gelens, and Isabella Moll. “Autoregulation of MazEF Expression Underlies Growth Heterogeneity in Bacterial Populations.” Nucleic Acids Research. Oxford University Press, 2018. https://doi.org/10.1093/nar/gky079. ieee: N. Nikolic, T. Bergmiller, A. Vandervelde, T. Albanese, L. Gelens, and I. Moll, “Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations,” Nucleic Acids Research, vol. 46, no. 6. Oxford University Press, pp. 2918–2931, 2018. ista: Nikolic N, Bergmiller T, Vandervelde A, Albanese T, Gelens L, Moll I. 2018. Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic Acids Research. 46(6), 2918–2931. mla: Nikolic, Nela, et al. “Autoregulation of MazEF Expression Underlies Growth Heterogeneity in Bacterial Populations.” Nucleic Acids Research, vol. 46, no. 6, Oxford University Press, 2018, pp. 2918–31, doi:10.1093/nar/gky079. short: N. Nikolic, T. Bergmiller, A. Vandervelde, T. Albanese, L. Gelens, I. Moll, Nucleic Acids Research 46 (2018) 2918–2931. date_created: 2018-12-11T11:46:29Z date_published: 2018-04-06T00:00:00Z date_updated: 2024-02-21T13:44:45Z day: '06' ddc: - '576' department: - _id: CaGu doi: 10.1093/nar/gky079 external_id: isi: - '000429009500021' file: - access_level: open_access checksum: 3ff4f545c27e11a4cd20ccb30778793e content_type: application/pdf creator: system date_created: 2018-12-12T10:15:30Z date_updated: 2020-07-14T12:46:27Z file_id: '5151' file_name: IST-2018-971-v1+1_2018_Nikoloc_Autoregulation_of.pdf file_size: 5027978 relation: main_file file_date_updated: 2020-07-14T12:46:27Z has_accepted_license: '1' intvolume: ' 46' isi: 1 issue: '6' language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: 2918-2931 project: - _id: 3AC91DDA-15DF-11EA-824D-93A3E7B544D1 call_identifier: FWF name: FWF Open Access Fund publication: Nucleic Acids Research publication_status: published publisher: Oxford University Press pubrep_id: '971' quality_controlled: '1' related_material: record: - id: '5569' relation: popular_science status: public scopus_import: '1' status: public title: Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 46 year: '2018' ... --- _id: '5569' abstract: - lang: eng text: "Nela Nikolic, Tobias Bergmiller, Alexandra Vandervelde, Tanino G. Albanese, Lendert Gelens, and Isabella Moll (2018)\r\n“Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations” Nucleic Acids Research, doi: 10.15479/AT:ISTA:74;\r\nmicroscopy experiments by Tobias Bergmiller; image and data analysis by Nela Nikolic." article_processing_charge: No author: - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 citation: ama: Bergmiller T, Nikolic N. Time-lapse microscopy data. 2018. doi:10.15479/AT:ISTA:74 apa: Bergmiller, T., & Nikolic, N. (2018). Time-lapse microscopy data. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:74 chicago: Bergmiller, Tobias, and Nela Nikolic. “Time-Lapse Microscopy Data.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:74. ieee: T. Bergmiller and N. Nikolic, “Time-lapse microscopy data.” Institute of Science and Technology Austria, 2018. ista: Bergmiller T, Nikolic N. 2018. Time-lapse microscopy data, Institute of Science and Technology Austria, 10.15479/AT:ISTA:74. mla: Bergmiller, Tobias, and Nela Nikolic. Time-Lapse Microscopy Data. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:74. short: T. Bergmiller, N. Nikolic, (2018). datarep_id: '74' date_created: 2018-12-12T12:31:35Z date_published: 2018-02-07T00:00:00Z date_updated: 2024-02-21T13:44:45Z day: '07' ddc: - '579' department: - _id: CaGu doi: 10.15479/AT:ISTA:74 file: - access_level: open_access checksum: 61ebb92213cfffeba3ddbaff984b81af content_type: application/zip creator: system date_created: 2018-12-12T13:04:39Z date_updated: 2020-07-14T12:47:04Z file_id: '5637' file_name: IST-2018-74-v1+2_15-11-05.zip file_size: 3558703796 relation: main_file - access_level: open_access checksum: bf26649af310ef6892d68576515cde6d content_type: application/zip creator: system date_created: 2018-12-12T13:04:55Z date_updated: 2020-07-14T12:47:04Z file_id: '5638' file_name: IST-2018-74-v1+3_15-07-31.zip file_size: 1830422606 relation: main_file - access_level: open_access checksum: 8e46eedce06f22acb2be1a9b9d3f56bd content_type: application/zip creator: system date_created: 2018-12-12T13:05:11Z date_updated: 2020-07-14T12:47:04Z file_id: '5639' file_name: IST-2018-74-v1+4_Images_for_analysis.zip file_size: 2140849248 relation: main_file file_date_updated: 2020-07-14T12:47:04Z has_accepted_license: '1' keyword: - microscopy - microfluidics license: https://creativecommons.org/publicdomain/zero/1.0/ month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria publist_id: '7385' related_material: record: - id: '438' relation: research_paper status: public status: public title: Time-lapse microscopy data tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2018' ... --- _id: '624' abstract: - lang: eng text: Bacteria adapt to adverse environmental conditions by altering gene expression patterns. Recently, a novel stress adaptation mechanism has been described that allows Escherichia coli to alter gene expression at the post-transcriptional level. The key player in this regulatory pathway is the endoribonuclease MazF, the toxin component of the toxin-antitoxin module mazEF that is triggered by various stressful conditions. In general, MazF degrades the majority of transcripts by cleaving at ACA sites, which results in the retardation of bacterial growth. Furthermore, MazF can process a small subset of mRNAs and render them leaderless by removing their ribosome binding site. MazF concomitantly modifies ribosomes, making them selective for the translation of leaderless mRNAs. In this study, we employed fluorescent reporter-systems to investigate mazEF expression during stressful conditions, and to infer consequences of the mRNA processing mediated by MazF on gene expression at the single-cell level. Our results suggest that mazEF transcription is maintained at low levels in single cells encountering adverse conditions, such as antibiotic stress or amino acid starvation. Moreover, using the grcA mRNA as a model for MazF-mediated mRNA processing, we found that MazF activation promotes heterogeneity in the grcA reporter expression, resulting in a subpopulation of cells with increased levels of GrcA reporter protein. acknowledgement: 'Austrian Science Fund (FWF): M1697, P22249; Swiss National Science Foundation (SNF): 145706; European Commission;FWF Special Research Program: RNA-REG F43' article_number: '3830' author: - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 - first_name: Zrinka full_name: Didara, Zrinka last_name: Didara - first_name: Isabella full_name: Moll, Isabella last_name: Moll citation: ama: Nikolic N, Didara Z, Moll I. MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ. 2017;2017(9). doi:10.7717/peerj.3830 apa: Nikolic, N., Didara, Z., & Moll, I. (2017). MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ. PeerJ. https://doi.org/10.7717/peerj.3830 chicago: Nikolic, Nela, Zrinka Didara, and Isabella Moll. “MazF Activation Promotes Translational Heterogeneity of the GrcA MRNA in Escherichia Coli Populations.” PeerJ. PeerJ, 2017. https://doi.org/10.7717/peerj.3830. ieee: N. Nikolic, Z. Didara, and I. Moll, “MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia coli populations,” PeerJ, vol. 2017, no. 9. PeerJ, 2017. ista: Nikolic N, Didara Z, Moll I. 2017. MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ. 2017(9), 3830. mla: Nikolic, Nela, et al. “MazF Activation Promotes Translational Heterogeneity of the GrcA MRNA in Escherichia Coli Populations.” PeerJ, vol. 2017, no. 9, 3830, PeerJ, 2017, doi:10.7717/peerj.3830. short: N. Nikolic, Z. Didara, I. Moll, PeerJ 2017 (2017). date_created: 2018-12-11T11:47:33Z date_published: 2017-09-21T00:00:00Z date_updated: 2021-01-12T08:06:48Z day: '21' ddc: - '579' department: - _id: CaGu doi: 10.7717/peerj.3830 file: - access_level: open_access checksum: 3d79ae6b6eabc90b0eaaed82ff3493b0 content_type: application/pdf creator: system date_created: 2018-12-12T10:11:51Z date_updated: 2020-07-14T12:47:24Z file_id: '4908' file_name: IST-2017-909-v1+1_peerj-3830.pdf file_size: 682064 relation: main_file file_date_updated: 2020-07-14T12:47:24Z has_accepted_license: '1' intvolume: ' 2017' issue: '9' language: - iso: eng month: '09' oa: 1 oa_version: Published Version publication: PeerJ publication_identifier: issn: - '21678359' publication_status: published publisher: PeerJ publist_id: '7172' pubrep_id: '909' quality_controlled: '1' scopus_import: 1 status: public title: MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia coli populations tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2017 year: '2017' ... --- _id: '541' abstract: - lang: eng text: 'While we have good understanding of bacterial metabolism at the population level, we know little about the metabolic behavior of individual cells: do single cells in clonal populations sometimes specialize on different metabolic pathways? Such metabolic specialization could be driven by stochastic gene expression and could provide individual cells with growth benefits of specialization. We measured the degree of phenotypic specialization in two parallel metabolic pathways, the assimilation of glucose and arabinose. We grew Escherichia coli in chemostats, and used isotope-labeled sugars in combination with nanometer-scale secondary ion mass spectrometry and mathematical modeling to quantify sugar assimilation at the single-cell level. We found large variation in metabolic activities between single cells, both in absolute assimilation and in the degree to which individual cells specialize in the assimilation of different sugars. Analysis of transcriptional reporters indicated that this variation was at least partially based on cell-to-cell variation in gene expression. Metabolic differences between cells in clonal populations could potentially reduce metabolic incompatibilities between different pathways, and increase the rate at which parallel reactions can be performed.' article_number: e1007122 author: - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 - first_name: Frank full_name: Schreiber, Frank last_name: Schreiber - first_name: Alma full_name: Dal Co, Alma last_name: Dal Co - first_name: Daniel full_name: Kiviet, Daniel last_name: Kiviet - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Sten full_name: Littmann, Sten last_name: Littmann - first_name: Marcel full_name: Kuypers, Marcel last_name: Kuypers - first_name: Martin full_name: Ackermann, Martin last_name: Ackermann citation: ama: Nikolic N, Schreiber F, Dal Co A, et al. Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial populations. PLoS Genetics. 2017;13(12). doi:10.1371/journal.pgen.1007122 apa: Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann, S., … Ackermann, M. (2017). Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial populations. PLoS Genetics. Public Library of Science. https://doi.org/10.1371/journal.pgen.1007122 chicago: Nikolic, Nela, Frank Schreiber, Alma Dal Co, Daniel Kiviet, Tobias Bergmiller, Sten Littmann, Marcel Kuypers, and Martin Ackermann. “Cell-to-Cell Variation and Specialization in Sugar Metabolism in Clonal Bacterial Populations.” PLoS Genetics. Public Library of Science, 2017. https://doi.org/10.1371/journal.pgen.1007122. ieee: N. Nikolic et al., “Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial populations,” PLoS Genetics, vol. 13, no. 12. Public Library of Science, 2017. ista: Nikolic N, Schreiber F, Dal Co A, Kiviet D, Bergmiller T, Littmann S, Kuypers M, Ackermann M. 2017. Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial populations. PLoS Genetics. 13(12), e1007122. mla: Nikolic, Nela, et al. “Cell-to-Cell Variation and Specialization in Sugar Metabolism in Clonal Bacterial Populations.” PLoS Genetics, vol. 13, no. 12, e1007122, Public Library of Science, 2017, doi:10.1371/journal.pgen.1007122. short: N. Nikolic, F. Schreiber, A. Dal Co, D. Kiviet, T. Bergmiller, S. Littmann, M. Kuypers, M. Ackermann, PLoS Genetics 13 (2017). date_created: 2018-12-11T11:47:04Z date_published: 2017-12-18T00:00:00Z date_updated: 2023-02-23T14:10:34Z day: '18' ddc: - '576' - '579' department: - _id: CaGu doi: 10.1371/journal.pgen.1007122 ec_funded: 1 file: - access_level: open_access checksum: 22426d9382f21554bad5fa5967afcfd0 content_type: application/pdf creator: system date_created: 2018-12-12T10:14:35Z date_updated: 2020-07-14T12:46:46Z file_id: '5088' file_name: IST-2018-959-v1+1_2017_Nikolic_Cell-to-cell.pdf file_size: 1308475 relation: main_file file_date_updated: 2020-07-14T12:46:46Z has_accepted_license: '1' intvolume: ' 13' issue: '12' language: - iso: eng month: '12' oa: 1 oa_version: Published Version project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: PLoS Genetics publication_identifier: issn: - '15537390' publication_status: published publisher: Public Library of Science publist_id: '7275' pubrep_id: '959' quality_controlled: '1' related_material: record: - id: '9844' relation: research_data status: public - id: '9845' relation: research_data status: public - id: '9846' relation: research_data status: public scopus_import: 1 status: public title: Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial populations tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 13 year: '2017' ... --- _id: '9845' abstract: - lang: eng text: "Estimates of 13 C-arabinose and 2 H-glucose uptake from the fractions of heavy isotopes measured\tin single cells" article_processing_charge: No author: - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 - first_name: Frank full_name: Schreiber, Frank last_name: Schreiber - first_name: Alma full_name: Dal Co, Alma last_name: Dal Co - first_name: Daniel full_name: Kiviet, Daniel last_name: Kiviet - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Sten full_name: Littmann, Sten last_name: Littmann - first_name: Marcel full_name: Kuypers, Marcel last_name: Kuypers - first_name: Martin full_name: Ackermann, Martin last_name: Ackermann citation: ama: Nikolic N, Schreiber F, Dal Co A, et al. Mathematical model. 2017. doi:10.1371/journal.pgen.1007122.s017 apa: Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann, S., … Ackermann, M. (2017). Mathematical model. Public Library of Science. https://doi.org/10.1371/journal.pgen.1007122.s017 chicago: Nikolic, Nela, Frank Schreiber, Alma Dal Co, Daniel Kiviet, Tobias Bergmiller, Sten Littmann, Marcel Kuypers, and Martin Ackermann. “Mathematical Model.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pgen.1007122.s017. ieee: N. Nikolic et al., “Mathematical model.” Public Library of Science, 2017. ista: Nikolic N, Schreiber F, Dal Co A, Kiviet D, Bergmiller T, Littmann S, Kuypers M, Ackermann M. 2017. Mathematical model, Public Library of Science, 10.1371/journal.pgen.1007122.s017. mla: Nikolic, Nela, et al. Mathematical Model. Public Library of Science, 2017, doi:10.1371/journal.pgen.1007122.s017. short: N. Nikolic, F. Schreiber, A. Dal Co, D. Kiviet, T. Bergmiller, S. Littmann, M. Kuypers, M. Ackermann, (2017). date_created: 2021-08-09T13:31:51Z date_published: 2017-12-18T00:00:00Z date_updated: 2023-02-23T12:25:04Z day: '18' department: - _id: CaGu doi: 10.1371/journal.pgen.1007122.s017 month: '12' oa_version: None publisher: Public Library of Science related_material: record: - id: '541' relation: used_in_publication status: public status: public title: Mathematical model type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '9846' article_processing_charge: No author: - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 - first_name: Frank full_name: Schreiber, Frank last_name: Schreiber - first_name: Alma full_name: Dal Co, Alma last_name: Dal Co - first_name: Daniel full_name: Kiviet, Daniel last_name: Kiviet - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Sten full_name: Littmann, Sten last_name: Littmann - first_name: Marcel full_name: Kuypers, Marcel last_name: Kuypers - first_name: Martin full_name: Ackermann, Martin last_name: Ackermann citation: ama: Nikolic N, Schreiber F, Dal Co A, et al. Supplementary methods. 2017. doi:10.1371/journal.pgen.1007122.s016 apa: Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann, S., … Ackermann, M. (2017). Supplementary methods. Public Library of Science. https://doi.org/10.1371/journal.pgen.1007122.s016 chicago: Nikolic, Nela, Frank Schreiber, Alma Dal Co, Daniel Kiviet, Tobias Bergmiller, Sten Littmann, Marcel Kuypers, and Martin Ackermann. “Supplementary Methods.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pgen.1007122.s016. ieee: N. Nikolic et al., “Supplementary methods.” Public Library of Science, 2017. ista: Nikolic N, Schreiber F, Dal Co A, Kiviet D, Bergmiller T, Littmann S, Kuypers M, Ackermann M. 2017. Supplementary methods, Public Library of Science, 10.1371/journal.pgen.1007122.s016. mla: Nikolic, Nela, et al. Supplementary Methods. Public Library of Science, 2017, doi:10.1371/journal.pgen.1007122.s016. short: N. Nikolic, F. Schreiber, A. Dal Co, D. Kiviet, T. Bergmiller, S. Littmann, M. Kuypers, M. Ackermann, (2017). date_created: 2021-08-09T13:35:17Z date_published: 2017-12-18T00:00:00Z date_updated: 2023-02-23T12:25:04Z day: '18' department: - _id: CaGu doi: 10.1371/journal.pgen.1007122.s016 month: '12' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '541' relation: used_in_publication status: public status: public title: Supplementary methods type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '9844' article_processing_charge: No author: - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 - first_name: Frank full_name: Schreiber, Frank last_name: Schreiber - first_name: Alma full_name: Dal Co, Alma last_name: Dal Co - first_name: Daniel full_name: Kiviet, Daniel last_name: Kiviet - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Sten full_name: Littmann, Sten last_name: Littmann - first_name: Marcel full_name: Kuypers, Marcel last_name: Kuypers - first_name: Martin full_name: Ackermann, Martin last_name: Ackermann citation: ama: Nikolic N, Schreiber F, Dal Co A, et al. Source data for figures and tables. 2017. doi:10.1371/journal.pgen.1007122.s018 apa: Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann, S., … Ackermann, M. (2017). Source data for figures and tables. Public Library of Science. https://doi.org/10.1371/journal.pgen.1007122.s018 chicago: Nikolic, Nela, Frank Schreiber, Alma Dal Co, Daniel Kiviet, Tobias Bergmiller, Sten Littmann, Marcel Kuypers, and Martin Ackermann. “Source Data for Figures and Tables.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pgen.1007122.s018. ieee: N. Nikolic et al., “Source data for figures and tables.” Public Library of Science, 2017. ista: Nikolic N, Schreiber F, Dal Co A, Kiviet D, Bergmiller T, Littmann S, Kuypers M, Ackermann M. 2017. Source data for figures and tables, Public Library of Science, 10.1371/journal.pgen.1007122.s018. mla: Nikolic, Nela, et al. Source Data for Figures and Tables. Public Library of Science, 2017, doi:10.1371/journal.pgen.1007122.s018. short: N. Nikolic, F. Schreiber, A. Dal Co, D. Kiviet, T. Bergmiller, S. Littmann, M. Kuypers, M. Ackermann, (2017). date_created: 2021-08-09T13:27:16Z date_published: 2017-12-18T00:00:00Z date_updated: 2023-02-23T12:25:04Z day: '18' department: - _id: CaGu doi: 10.1371/journal.pgen.1007122.s018 month: '12' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '541' relation: used_in_publication status: public status: public title: Source data for figures and tables type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ...