[{"_id":"7490","pmid":1,"scopus_import":"1","author":[{"first_name":"Madhumitha","last_name":"Narasimhan","orcid":"0000-0002-8600-0671","full_name":"Narasimhan, Madhumitha","id":"44BF24D0-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-2739-8843","full_name":"Johnson, Alexander J","first_name":"Alexander J","last_name":"Johnson","id":"46A62C3A-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Prizak","first_name":"Roshan","full_name":"Prizak, Roshan","id":"4456104E-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Kaufmann, Walter","orcid":"0000-0001-9735-5315","last_name":"Kaufmann","first_name":"Walter","id":"3F99E422-F248-11E8-B48F-1D18A9856A87"},{"id":"2DE75584-F248-11E8-B48F-1D18A9856A87","full_name":"Tan, Shutang","orcid":"0000-0002-0471-8285","last_name":"Tan","first_name":"Shutang"},{"first_name":"Barbara E","last_name":"Casillas Perez","full_name":"Casillas Perez, Barbara E","id":"351ED2AA-F248-11E8-B48F-1D18A9856A87"},{"id":"4159519E-F248-11E8-B48F-1D18A9856A87","last_name":"Friml","first_name":"Jiří","full_name":"Friml, Jiří","orcid":"0000-0002-8302-7596"}],"publication_status":"published","article_processing_charge":"No","department":[{"_id":"JiFr"},{"_id":"GaTk"},{"_id":"EM-Fac"},{"_id":"SyCr"}],"date_created":"2020-02-16T23:00:50Z","title":"Evolutionarily unique mechanistic framework of clathrin-mediated endocytosis in plants","intvolume":"         9","ec_funded":1,"quality_controlled":"1","file_date_updated":"2020-07-14T12:47:59Z","publisher":"eLife Sciences Publications","article_type":"original","date_updated":"2023-08-18T06:33:07Z","citation":{"chicago":"Narasimhan, Madhumitha, Alexander J Johnson, Roshan Prizak, Walter Kaufmann, Shutang Tan, Barbara E Casillas Perez, and Jiří Friml. “Evolutionarily Unique Mechanistic Framework of Clathrin-Mediated Endocytosis in Plants.” <i>ELife</i>. eLife Sciences Publications, 2020. <a href=\"https://doi.org/10.7554/eLife.52067\">https://doi.org/10.7554/eLife.52067</a>.","ieee":"M. Narasimhan <i>et al.</i>, “Evolutionarily unique mechanistic framework of clathrin-mediated endocytosis in plants,” <i>eLife</i>, vol. 9. eLife Sciences Publications, 2020.","apa":"Narasimhan, M., Johnson, A. J., Prizak, R., Kaufmann, W., Tan, S., Casillas Perez, B. E., &#38; Friml, J. (2020). Evolutionarily unique mechanistic framework of clathrin-mediated endocytosis in plants. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/eLife.52067\">https://doi.org/10.7554/eLife.52067</a>","ama":"Narasimhan M, Johnson AJ, Prizak R, et al. Evolutionarily unique mechanistic framework of clathrin-mediated endocytosis in plants. <i>eLife</i>. 2020;9. doi:<a href=\"https://doi.org/10.7554/eLife.52067\">10.7554/eLife.52067</a>","ista":"Narasimhan M, Johnson AJ, Prizak R, Kaufmann W, Tan S, Casillas Perez BE, Friml J. 2020. Evolutionarily unique mechanistic framework of clathrin-mediated endocytosis in plants. eLife. 9, e52067.","short":"M. Narasimhan, A.J. Johnson, R. Prizak, W. Kaufmann, S. Tan, B.E. Casillas Perez, J. Friml, ELife 9 (2020).","mla":"Narasimhan, Madhumitha, et al. “Evolutionarily Unique Mechanistic Framework of Clathrin-Mediated Endocytosis in Plants.” <i>ELife</i>, vol. 9, e52067, eLife Sciences Publications, 2020, doi:<a href=\"https://doi.org/10.7554/eLife.52067\">10.7554/eLife.52067</a>."},"year":"2020","isi":1,"external_id":{"isi":["000514104100001"],"pmid":["31971511"]},"doi":"10.7554/eLife.52067","day":"23","abstract":[{"text":"In plants, clathrin mediated endocytosis (CME) represents the major route for cargo internalisation from the cell surface. It has been assumed to operate in an evolutionary conserved manner as in yeast and animals. Here we report characterisation of ultrastructure, dynamics and mechanisms of plant CME as allowed by our advancement in electron microscopy and quantitative live imaging techniques. Arabidopsis CME appears to follow the constant curvature model and the bona fide CME population generates vesicles of a predominantly hexagonal-basket type; larger and with faster kinetics than in other models. Contrary to the existing paradigm, actin is dispensable for CME events at the plasma membrane but plays a unique role in collecting endocytic vesicles, sorting of internalised cargos and directional endosome movement that itself actively promote CME events. Internalized vesicles display a strongly delayed and sequential uncoating. These unique features highlight the independent evolution of the plant CME mechanism during the autonomous rise of multicellularity in eukaryotes.","lang":"eng"}],"volume":9,"ddc":["570","580"],"publication":"eLife","has_accepted_license":"1","oa_version":"Published Version","acknowledged_ssus":[{"_id":"LifeSc"},{"_id":"Bio"},{"_id":"EM-Fac"}],"project":[{"name":"Tracing Evolution of Auxin Transport and Polarity in Plants","grant_number":"742985","call_identifier":"H2020","_id":"261099A6-B435-11E9-9278-68D0E5697425"},{"grant_number":"I03630","name":"Molecular mechanisms of endocytic cargo recognition in plants","call_identifier":"FWF","_id":"26538374-B435-11E9-9278-68D0E5697425"}],"month":"01","article_number":"e52067","language":[{"iso":"eng"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_published":"2020-01-23T00:00:00Z","type":"journal_article","publication_identifier":{"eissn":["2050-084X"]},"oa":1,"file":[{"file_name":"2020_eLife_Narasimhan.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:47:59Z","file_size":7247468,"checksum":"2052daa4be5019534f3a42f200a09f32","date_created":"2020-02-18T07:21:16Z","creator":"dernst","file_id":"7494","relation":"main_file","access_level":"open_access"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public"},{"has_accepted_license":"1","publication":"PLOS Computational Biology","article_number":"e1007642","month":"02","oa_version":"Published Version","language":[{"iso":"eng"}],"type":"journal_article","date_published":"2020-02-25T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"publication_identifier":{"issn":["1553-7358"]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","related_material":{"record":[{"relation":"research_data","id":"9716","status":"deleted"},{"id":"9776","relation":"research_data","status":"public"},{"status":"public","relation":"used_in_publication","id":"9779"},{"status":"public","id":"8155","relation":"dissertation_contains"},{"status":"public","relation":"research_data","id":"9777"}]},"status":"public","file":[{"file_name":"2020_PlosCompBio_Grah.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:48:00Z","file_size":2209325,"checksum":"5239dd134dc6e1c71fe7b3ce2953da37","date_created":"2020-03-09T15:12:21Z","creator":"dernst","file_id":"7579","access_level":"open_access","relation":"main_file"}],"issue":"2","author":[{"first_name":"Rok","last_name":"Grah","orcid":"0000-0003-2539-3560","full_name":"Grah, Rok","id":"483E70DE-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Friedlander, Tamar","last_name":"Friedlander","first_name":"Tamar"}],"scopus_import":"1","_id":"7569","intvolume":"        16","title":"The relation between crosstalk and gene regulation form revisited","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"article_processing_charge":"No","date_created":"2020-03-06T07:39:38Z","publication_status":"published","file_date_updated":"2020-07-14T12:48:00Z","quality_controlled":"1","article_type":"original","publisher":"Public Library of Science","external_id":{"isi":["000526725200019"]},"isi":1,"citation":{"chicago":"Grah, Rok, and Tamar Friedlander. “The Relation between Crosstalk and Gene Regulation Form Revisited.” <i>PLOS Computational Biology</i>. Public Library of Science, 2020. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642\">https://doi.org/10.1371/journal.pcbi.1007642</a>.","ieee":"R. Grah and T. Friedlander, “The relation between crosstalk and gene regulation form revisited,” <i>PLOS Computational Biology</i>, vol. 16, no. 2. Public Library of Science, 2020.","ama":"Grah R, Friedlander T. The relation between crosstalk and gene regulation form revisited. <i>PLOS Computational Biology</i>. 2020;16(2). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642\">10.1371/journal.pcbi.1007642</a>","apa":"Grah, R., &#38; Friedlander, T. (2020). The relation between crosstalk and gene regulation form revisited. <i>PLOS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642\">https://doi.org/10.1371/journal.pcbi.1007642</a>","ista":"Grah R, Friedlander T. 2020. The relation between crosstalk and gene regulation form revisited. PLOS Computational Biology. 16(2), e1007642.","mla":"Grah, Rok, and Tamar Friedlander. “The Relation between Crosstalk and Gene Regulation Form Revisited.” <i>PLOS Computational Biology</i>, vol. 16, no. 2, e1007642, Public Library of Science, 2020, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642\">10.1371/journal.pcbi.1007642</a>.","short":"R. Grah, T. Friedlander, PLOS Computational Biology 16 (2020)."},"year":"2020","date_updated":"2023-09-12T11:02:24Z","abstract":[{"text":"Genes differ in the frequency at which they are expressed and in the form of regulation used to control their activity. In particular, positive or negative regulation can lead to activation of a gene in response to an external signal. Previous works proposed that the form of regulation of a gene correlates with its frequency of usage: positive regulation when the gene is frequently expressed and negative regulation when infrequently expressed. Such network design means that, in the absence of their regulators, the genes are found in their least required activity state, hence regulatory intervention is often necessary. Due to the multitude of genes and regulators, spurious binding and unbinding events, called “crosstalk”, could occur. To determine how the form of regulation affects the global crosstalk in the network, we used a mathematical model that includes multiple regulators and multiple target genes. We found that crosstalk depends non-monotonically on the availability of regulators. Our analysis showed that excess use of regulation entailed by the formerly suggested network design caused high crosstalk levels in a large part of the parameter space. We therefore considered the opposite ‘idle’ design, where the default unregulated state of genes is their frequently required activity state. We found, that ‘idle’ design minimized the use of regulation and thus minimized crosstalk. In addition, we estimated global crosstalk of S. cerevisiae using transcription factors binding data. We demonstrated that even partial network data could suffice to estimate its global crosstalk, suggesting its applicability to additional organisms. We found that S. cerevisiae estimated crosstalk is lower than that of a random network, suggesting that natural selection reduces crosstalk. In summary, our study highlights a new type of protein production cost which is typically overlooked: that of regulatory interference caused by the presence of excess regulators in the cell. It demonstrates the importance of whole-network descriptions, which could show effects missed by single-gene models.","lang":"eng"}],"day":"25","doi":"10.1371/journal.pcbi.1007642","ddc":["000","570"],"volume":16},{"language":[{"iso":"eng"}],"oa_version":"Submitted Version","project":[{"name":"Biophysically realistic genotype-phenotype maps for regulatory networks","_id":"267C84F4-B435-11E9-9278-68D0E5697425"}],"month":"04","publication":"Nature Ecology & Evolution","has_accepted_license":"1","file":[{"date_updated":"2020-10-09T09:56:01Z","file_name":"2020_NatureEcolEvo_Tomanek.pdf","content_type":"application/pdf","date_created":"2020-10-09T09:56:01Z","file_size":745242,"checksum":"ef3bbf42023e30b2c24a6278025d2040","file_id":"8640","creator":"dernst","relation":"main_file","success":1,"access_level":"open_access"}],"status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","related_material":{"link":[{"url":"https://ist.ac.at/en/news/how-to-thrive-without-gene-regulation/","relation":"press_release","description":"News on IST Homepage"}],"record":[{"status":"public","id":"8155","relation":"dissertation_contains"},{"status":"public","id":"7383","relation":"research_data"},{"status":"public","id":"7016","relation":"research_data"},{"id":"8653","relation":"used_in_publication","status":"public"}]},"publication_identifier":{"issn":["2397-334X"]},"oa":1,"date_published":"2020-04-01T00:00:00Z","type":"journal_article","publisher":"Springer Nature","article_type":"original","page":"612-625","quality_controlled":"1","file_date_updated":"2020-10-09T09:56:01Z","publication_status":"published","department":[{"_id":"GaTk"},{"_id":"CaGu"}],"date_created":"2020-04-08T15:20:53Z","article_processing_charge":"No","title":"Gene amplification as a form of population-level gene expression regulation","intvolume":"         4","_id":"7652","scopus_import":"1","author":[{"first_name":"Isabella","last_name":"Tomanek","orcid":"0000-0001-6197-363X","full_name":"Tomanek, Isabella","id":"3981F020-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0003-2539-3560","full_name":"Grah, Rok","first_name":"Rok","last_name":"Grah","id":"483E70DE-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Lagator","first_name":"M.","full_name":"Lagator, M."},{"full_name":"Andersson, A. M. C.","last_name":"Andersson","first_name":"A. M. C."},{"last_name":"Bollback","first_name":"Jonathan P","full_name":"Bollback, Jonathan P","orcid":"0000-0002-4624-4612","id":"2C6FA9CC-F248-11E8-B48F-1D18A9856A87"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","last_name":"Tkačik","first_name":"Gašper","full_name":"Tkačik, Gašper","orcid":"0000-0002-6699-1455"},{"first_name":"Calin C","last_name":"Guet","orcid":"0000-0001-6220-2052","full_name":"Guet, Calin C","id":"47F8433E-F248-11E8-B48F-1D18A9856A87"}],"issue":"4","acknowledgement":"We thank L. Hurst, N. Barton, M. Pleska, M. Steinrück, B. Kavcic and A. Staron for input on the manuscript, and To. Bergmiller and R. Chait for help with microfluidics experiments. I.T. is a recipient the OMV fellowship. R.G. is a recipient of a DOC (Doctoral Fellowship Programme of the Austrian Academy of Sciences) Fellowship of the Austrian Academy of Sciences.","volume":4,"ddc":["570"],"doi":"10.1038/s41559-020-1132-7","day":"01","abstract":[{"text":"Organisms cope with change by taking advantage of transcriptional regulators. However, when faced with rare environments, the evolution of transcriptional regulators and their promoters may be too slow. Here, we investigate whether the intrinsic instability of gene duplication and amplification provides a generic alternative to canonical gene regulation. Using real-time monitoring of gene-copy-number mutations in Escherichia coli, we show that gene duplications and amplifications enable adaptation to fluctuating environments by rapidly generating copy-number and, therefore, expression-level polymorphisms. This amplification-mediated gene expression tuning (AMGET) occurs on timescales that are similar to canonical gene regulation and can respond to rapid environmental changes. Mathematical modelling shows that amplifications also tune gene expression in stochastic environments in which transcription-factor-based schemes are hard to evolve or maintain. The fleeting nature of gene amplifications gives rise to a generic population-level mechanism that relies on genetic heterogeneity to rapidly tune the expression of any gene, without leaving any genomic signature.","lang":"eng"}],"date_updated":"2024-03-25T23:30:20Z","year":"2020","citation":{"apa":"Tomanek, I., Grah, R., Lagator, M., Andersson, A. M. C., Bollback, J. P., Tkačik, G., &#38; Guet, C. C. (2020). Gene amplification as a form of population-level gene expression regulation. <i>Nature Ecology &#38; Evolution</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41559-020-1132-7\">https://doi.org/10.1038/s41559-020-1132-7</a>","ama":"Tomanek I, Grah R, Lagator M, et al. Gene amplification as a form of population-level gene expression regulation. <i>Nature Ecology &#38; Evolution</i>. 2020;4(4):612-625. doi:<a href=\"https://doi.org/10.1038/s41559-020-1132-7\">10.1038/s41559-020-1132-7</a>","chicago":"Tomanek, Isabella, Rok Grah, M. Lagator, A. M. C. Andersson, Jonathan P Bollback, Gašper Tkačik, and Calin C Guet. “Gene Amplification as a Form of Population-Level Gene Expression Regulation.” <i>Nature Ecology &#38; Evolution</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1038/s41559-020-1132-7\">https://doi.org/10.1038/s41559-020-1132-7</a>.","ieee":"I. Tomanek <i>et al.</i>, “Gene amplification as a form of population-level gene expression regulation,” <i>Nature Ecology &#38; Evolution</i>, vol. 4, no. 4. Springer Nature, pp. 612–625, 2020.","short":"I. Tomanek, R. Grah, M. Lagator, A.M.C. Andersson, J.P. Bollback, G. Tkačik, C.C. Guet, Nature Ecology &#38; Evolution 4 (2020) 612–625.","mla":"Tomanek, Isabella, et al. “Gene Amplification as a Form of Population-Level Gene Expression Regulation.” <i>Nature Ecology &#38; Evolution</i>, vol. 4, no. 4, Springer Nature, 2020, pp. 612–25, doi:<a href=\"https://doi.org/10.1038/s41559-020-1132-7\">10.1038/s41559-020-1132-7</a>.","ista":"Tomanek I, Grah R, Lagator M, Andersson AMC, Bollback JP, Tkačik G, Guet CC. 2020. Gene amplification as a form of population-level gene expression regulation. Nature Ecology &#38; Evolution. 4(4), 612–625."},"isi":1,"external_id":{"isi":["000519008300005"]}},{"article_type":"original","publisher":"Frontiers","file_date_updated":"2020-07-14T12:48:01Z","quality_controlled":"1","intvolume":"        14","title":"Clustering of neural activity: A design principle for population codes","article_processing_charge":"No","date_created":"2020-04-12T22:00:40Z","department":[{"_id":"GaTk"}],"publication_status":"published","author":[{"full_name":"Berry, Michael J.","last_name":"Berry","first_name":"Michael J."},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper","last_name":"Tkačik","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper"}],"scopus_import":"1","pmid":1,"_id":"7656","ddc":["570"],"volume":14,"abstract":[{"text":"We propose that correlations among neurons are generically strong enough to organize neural activity patterns into a discrete set of clusters, which can each be viewed as a population codeword. Our reasoning starts with the analysis of retinal ganglion cell data using maximum entropy models, showing that the population is robustly in a frustrated, marginally sub-critical, or glassy, state. This leads to an argument that neural populations in many other brain areas might share this structure. Next, we use latent variable models to show that this glassy state possesses well-defined clusters of neural activity. Clusters have three appealing properties: (i) clusters exhibit error correction, i.e., they are reproducibly elicited by the same stimulus despite variability at the level of constituent neurons; (ii) clusters encode qualitatively different visual features than their constituent neurons; and (iii) clusters can be learned by downstream neural circuits in an unsupervised fashion. We hypothesize that these properties give rise to a “learnable” neural code which the cortical hierarchy uses to extract increasingly complex features without supervision or reinforcement.","lang":"eng"}],"day":"13","doi":"10.3389/fncom.2020.00020","external_id":{"isi":["000525543200001"],"pmid":["32231528"]},"isi":1,"year":"2020","citation":{"apa":"Berry, M. J., &#38; Tkačik, G. (2020). Clustering of neural activity: A design principle for population codes. <i>Frontiers in Computational Neuroscience</i>. Frontiers. <a href=\"https://doi.org/10.3389/fncom.2020.00020\">https://doi.org/10.3389/fncom.2020.00020</a>","ama":"Berry MJ, Tkačik G. Clustering of neural activity: A design principle for population codes. <i>Frontiers in Computational Neuroscience</i>. 2020;14. doi:<a href=\"https://doi.org/10.3389/fncom.2020.00020\">10.3389/fncom.2020.00020</a>","ieee":"M. J. Berry and G. Tkačik, “Clustering of neural activity: A design principle for population codes,” <i>Frontiers in Computational Neuroscience</i>, vol. 14. Frontiers, 2020.","chicago":"Berry, Michael J., and Gašper Tkačik. “Clustering of Neural Activity: A Design Principle for Population Codes.” <i>Frontiers in Computational Neuroscience</i>. Frontiers, 2020. <a href=\"https://doi.org/10.3389/fncom.2020.00020\">https://doi.org/10.3389/fncom.2020.00020</a>.","mla":"Berry, Michael J., and Gašper Tkačik. “Clustering of Neural Activity: A Design Principle for Population Codes.” <i>Frontiers in Computational Neuroscience</i>, vol. 14, 20, Frontiers, 2020, doi:<a href=\"https://doi.org/10.3389/fncom.2020.00020\">10.3389/fncom.2020.00020</a>.","short":"M.J. Berry, G. Tkačik, Frontiers in Computational Neuroscience 14 (2020).","ista":"Berry MJ, Tkačik G. 2020. Clustering of neural activity: A design principle for population codes. Frontiers in Computational Neuroscience. 14, 20."},"date_updated":"2023-08-18T10:30:11Z","language":[{"iso":"eng"}],"article_number":"20","month":"03","oa_version":"Published Version","has_accepted_license":"1","publication":"Frontiers in Computational Neuroscience","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","file":[{"access_level":"open_access","relation":"main_file","file_id":"7659","creator":"dernst","date_created":"2020-04-14T12:20:39Z","file_size":4082937,"checksum":"2b1da23823eae9cedbb42d701945b61e","date_updated":"2020-07-14T12:48:01Z","content_type":"application/pdf","file_name":"2020_Frontiers_Berry.pdf"}],"oa":1,"publication_identifier":{"eissn":["16625188"]},"type":"journal_article","date_published":"2020-03-13T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"}},{"oa":1,"abstract":[{"lang":"eng","text":"Combining drugs can improve the efficacy of treatments. However, predicting the effect of drug combinations is still challenging. The combined potency of drugs determines the drug interaction, which is classified as synergistic, additive, antagonistic, or suppressive. While probabilistic, non-mechanistic models exist, there is currently no biophysical model that can predict antibiotic interactions. Here, we present a physiologically relevant model of the combined action of antibiotics that inhibit protein synthesis by targeting the ribosome. This model captures the kinetics of antibiotic binding and transport, and uses bacterial growth laws to predict growth in the presence of antibiotic combinations. We find that this biophysical model can produce all drug interaction types except suppression. We show analytically that antibiotics which cannot bind to the ribosome simultaneously generally act as substitutes for one another, leading to additive drug interactions. Previously proposed null expectations for higher-order drug interactions follow as a limiting case of our model. We further extend the model to include the effects of direct physical or allosteric interactions between individual drugs on the ribosome. Notably, such direct interactions profoundly change the combined drug effect, depending on the kinetic parameters of the drugs used. The model makes additional predictions for the effects of resistance genes on drug interactions and for interactions between ribosome-targeting antibiotics and antibiotics with other targets. These findings enhance our understanding of the interplay between drug action and cell physiology and are a key step toward a general framework for predicting drug interactions."}],"day":"18","doi":"10.1101/2020.04.18.047886","type":"preprint","date_published":"2020-04-18T00:00:00Z","year":"2020","citation":{"apa":"Kavcic, B., Tkačik, G., &#38; Bollenbach, M. T. (2020). A minimal biophysical model of combined antibiotic action. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2020.04.18.047886\">https://doi.org/10.1101/2020.04.18.047886</a>","ama":"Kavcic B, Tkačik G, Bollenbach MT. A minimal biophysical model of combined antibiotic action. <i>bioRxiv</i>. 2020. doi:<a href=\"https://doi.org/10.1101/2020.04.18.047886\">10.1101/2020.04.18.047886</a>","ieee":"B. Kavcic, G. Tkačik, and M. T. Bollenbach, “A minimal biophysical model of combined antibiotic action,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory, 2020.","chicago":"Kavcic, Bor, Gašper Tkačik, and Mark Tobias Bollenbach. “A Minimal Biophysical Model of Combined Antibiotic Action.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, 2020. <a href=\"https://doi.org/10.1101/2020.04.18.047886\">https://doi.org/10.1101/2020.04.18.047886</a>.","short":"B. Kavcic, G. Tkačik, M.T. Bollenbach, BioRxiv (2020).","mla":"Kavcic, Bor, et al. “A Minimal Biophysical Model of Combined Antibiotic Action.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, 2020, doi:<a href=\"https://doi.org/10.1101/2020.04.18.047886\">10.1101/2020.04.18.047886</a>.","ista":"Kavcic B, Tkačik G, Bollenbach MT. 2020. A minimal biophysical model of combined antibiotic action. bioRxiv, <a href=\"https://doi.org/10.1101/2020.04.18.047886\">10.1101/2020.04.18.047886</a>."},"date_updated":"2024-03-25T23:30:05Z","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","related_material":{"record":[{"status":"public","id":"8997","relation":"later_version"},{"status":"public","relation":"dissertation_contains","id":"8657"}]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2020.04.18.047886 "}],"month":"04","title":"A minimal biophysical model of combined antibiotic action","article_processing_charge":"No","date_created":"2020-04-22T08:27:56Z","project":[{"_id":"25E9AF9E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Revealing the mechanisms underlying drug interactions","grant_number":"P27201-B22"},{"call_identifier":"FWF","_id":"254E9036-B435-11E9-9278-68D0E5697425","grant_number":"P28844-B27","name":"Biophysics of information processing in gene regulation"}],"department":[{"_id":"GaTk"}],"oa_version":"Preprint","publication_status":"published","author":[{"id":"350F91D2-F248-11E8-B48F-1D18A9856A87","full_name":"Kavcic, Bor","orcid":"0000-0001-6041-254X","last_name":"Kavcic","first_name":"Bor"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper","last_name":"Tkačik","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper"},{"id":"3E6DB97A-F248-11E8-B48F-1D18A9856A87","full_name":"Bollenbach, Tobias","orcid":"0000-0003-4398-476X","last_name":"Bollenbach","first_name":"Tobias"}],"publication":"bioRxiv","_id":"7673","publisher":"Cold Spring Harbor Laboratory","language":[{"iso":"eng"}]},{"author":[{"id":"483E70DE-F248-11E8-B48F-1D18A9856A87","first_name":"Rok","last_name":"Grah","orcid":"0000-0003-2539-3560","full_name":"Grah, Rok"},{"full_name":"Zoller, Benjamin","last_name":"Zoller","first_name":"Benjamin"},{"orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper","first_name":"Gašper","last_name":"Tkačik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"}],"_id":"7675","publication":"bioRxiv","month":"04","title":"Normative models of enhancer function","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"date_created":"2020-04-23T10:12:51Z","article_processing_charge":"No","project":[{"name":"Can evolution minimize spurious signaling crosstalk to reach optimal performance?","grant_number":"RGP0034/2018","_id":"2665AAFE-B435-11E9-9278-68D0E5697425"},{"_id":"267C84F4-B435-11E9-9278-68D0E5697425","name":"Biophysically realistic genotype-phenotype maps for regulatory networks"}],"oa_version":"Preprint","publication_status":"published","language":[{"iso":"eng"}],"publisher":"Cold Spring Harbor Laboratory","type":"preprint","date_published":"2020-04-09T00:00:00Z","citation":{"short":"R. Grah, B. Zoller, G. Tkačik, BioRxiv (2020).","mla":"Grah, Rok, et al. “Normative Models of Enhancer Function.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, 2020, doi:<a href=\"https://doi.org/10.1101/2020.04.08.029405\">10.1101/2020.04.08.029405</a>.","ista":"Grah R, Zoller B, Tkačik G. 2020. Normative models of enhancer function. bioRxiv, <a href=\"https://doi.org/10.1101/2020.04.08.029405\">10.1101/2020.04.08.029405</a>.","apa":"Grah, R., Zoller, B., &#38; Tkačik, G. (2020). Normative models of enhancer function. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2020.04.08.029405\">https://doi.org/10.1101/2020.04.08.029405</a>","ama":"Grah R, Zoller B, Tkačik G. Normative models of enhancer function. <i>bioRxiv</i>. 2020. doi:<a href=\"https://doi.org/10.1101/2020.04.08.029405\">10.1101/2020.04.08.029405</a>","chicago":"Grah, Rok, Benjamin Zoller, and Gašper Tkačik. “Normative Models of Enhancer Function.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, 2020. <a href=\"https://doi.org/10.1101/2020.04.08.029405\">https://doi.org/10.1101/2020.04.08.029405</a>.","ieee":"R. Grah, B. Zoller, and G. Tkačik, “Normative models of enhancer function,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory, 2020."},"year":"2020","date_updated":"2023-09-07T13:13:26Z","oa":1,"abstract":[{"text":"In prokaryotes, thermodynamic models of gene regulation provide a highly quantitative mapping from promoter sequences to gene expression levels that is compatible with in vivo and in vitro bio-physical measurements. Such concordance has not been achieved for models of enhancer function in eukaryotes. In equilibrium models, it is difficult to reconcile the reported short transcription factor (TF) residence times on the DNA with the high specificity of regulation. In non-equilibrium models, progress is difficult due to an explosion in the number of parameters. Here, we navigate this complexity by looking for minimal non-equilibrium enhancer models that yield desired regulatory phenotypes: low TF residence time, high specificity and tunable cooperativity. We find that a single extra parameter, interpretable as the “linking rate” by which bound TFs interact with Mediator components, enables our models to escape equilibrium bounds and access optimal regulatory phenotypes, while remaining consistent with the reported phenomenology and simple enough to be inferred from upcoming experiments. We further find that high specificity in non-equilibrium models is in a tradeoff with gene expression noise, predicting bursty dynamics — an experimentally-observed hallmark of eukaryotic transcription. By drastically reducing the vast parameter space to a much smaller subspace that optimally realizes biological function prior to inference from data, our normative approach holds promise for mathematical models in systems biology.","lang":"eng"}],"day":"09","doi":"10.1101/2020.04.08.029405","status":"public","related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"8155"}]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2020.04.08.029405 "}]},{"title":"Supporting information","month":"02","department":[{"_id":"GaTk"}],"article_processing_charge":"No","date_created":"2021-08-06T07:15:04Z","oa_version":"Published Version","author":[{"last_name":"Grah","first_name":"Rok","full_name":"Grah, Rok","orcid":"0000-0003-2539-3560","id":"483E70DE-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Friedlander","first_name":"Tamar","full_name":"Friedlander, Tamar"}],"_id":"9776","publisher":"Public Library of Science","day":"25","doi":"10.1371/journal.pcbi.1007642.s001","type":"research_data_reference","date_published":"2020-02-25T00:00:00Z","year":"2020","citation":{"apa":"Grah, R., &#38; Friedlander, T. (2020). Supporting information. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">https://doi.org/10.1371/journal.pcbi.1007642.s001</a>","ama":"Grah R, Friedlander T. Supporting information. 2020. doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">10.1371/journal.pcbi.1007642.s001</a>","ieee":"R. Grah and T. Friedlander, “Supporting information.” Public Library of Science, 2020.","chicago":"Grah, Rok, and Tamar Friedlander. “Supporting Information.” Public Library of Science, 2020. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">https://doi.org/10.1371/journal.pcbi.1007642.s001</a>.","mla":"Grah, Rok, and Tamar Friedlander. <i>Supporting Information</i>. Public Library of Science, 2020, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">10.1371/journal.pcbi.1007642.s001</a>.","short":"R. Grah, T. Friedlander, (2020).","ista":"Grah R, Friedlander T. 2020. Supporting information, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s001\">10.1371/journal.pcbi.1007642.s001</a>."},"date_updated":"2023-08-18T06:47:47Z","related_material":{"record":[{"id":"7569","relation":"used_in_publication","status":"public"}]},"status":"public","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf"},{"_id":"9777","author":[{"orcid":"0000-0003-2539-3560","full_name":"Grah, Rok","first_name":"Rok","last_name":"Grah","id":"483E70DE-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Tamar","last_name":"Friedlander","full_name":"Friedlander, Tamar"}],"date_created":"2021-08-06T07:21:51Z","department":[{"_id":"GaTk"}],"article_processing_charge":"No","oa_version":"None","month":"02","title":"Maximizing crosstalk","publisher":"Public Library of Science","year":"2020","citation":{"chicago":"Grah, Rok, and Tamar Friedlander. “Maximizing Crosstalk.” Public Library of Science, 2020. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">https://doi.org/10.1371/journal.pcbi.1007642.s002</a>.","ieee":"R. Grah and T. Friedlander, “Maximizing crosstalk.” Public Library of Science, 2020.","ama":"Grah R, Friedlander T. Maximizing crosstalk. 2020. doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">10.1371/journal.pcbi.1007642.s002</a>","apa":"Grah, R., &#38; Friedlander, T. (2020). Maximizing crosstalk. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">https://doi.org/10.1371/journal.pcbi.1007642.s002</a>","ista":"Grah R, Friedlander T. 2020. Maximizing crosstalk, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">10.1371/journal.pcbi.1007642.s002</a>.","short":"R. Grah, T. Friedlander, (2020).","mla":"Grah, Rok, and Tamar Friedlander. <i>Maximizing Crosstalk</i>. Public Library of Science, 2020, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s002\">10.1371/journal.pcbi.1007642.s002</a>."},"date_updated":"2023-09-12T11:02:25Z","type":"research_data_reference","date_published":"2020-02-25T00:00:00Z","day":"25","doi":"10.1371/journal.pcbi.1007642.s002","oa":1,"main_file_link":[{"url":"https://doi.org/10.1371/journal.pcbi.1007642.s002","open_access":"1"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","related_material":{"record":[{"relation":"used_in_publication","id":"7569","status":"public"}]},"status":"public"},{"publisher":"Public Library of Science","author":[{"id":"483E70DE-F248-11E8-B48F-1D18A9856A87","first_name":"Rok","last_name":"Grah","orcid":"0000-0003-2539-3560","full_name":"Grah, Rok"},{"last_name":"Friedlander","first_name":"Tamar","full_name":"Friedlander, Tamar"}],"_id":"9779","title":"Distribution of crosstalk values","month":"02","article_processing_charge":"No","department":[{"_id":"GaTk"}],"date_created":"2021-08-06T07:24:37Z","oa_version":"Published Version","related_material":{"record":[{"status":"public","relation":"research_data","id":"7569"}]},"status":"public","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","type":"research_data_reference","date_published":"2020-02-25T00:00:00Z","year":"2020","citation":{"mla":"Grah, Rok, and Tamar Friedlander. <i>Distribution of Crosstalk Values</i>. Public Library of Science, 2020, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">10.1371/journal.pcbi.1007642.s003</a>.","short":"R. Grah, T. Friedlander, (2020).","ista":"Grah R, Friedlander T. 2020. Distribution of crosstalk values, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">10.1371/journal.pcbi.1007642.s003</a>.","ama":"Grah R, Friedlander T. Distribution of crosstalk values. 2020. doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">10.1371/journal.pcbi.1007642.s003</a>","apa":"Grah, R., &#38; Friedlander, T. (2020). Distribution of crosstalk values. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">https://doi.org/10.1371/journal.pcbi.1007642.s003</a>","chicago":"Grah, Rok, and Tamar Friedlander. “Distribution of Crosstalk Values.” Public Library of Science, 2020. <a href=\"https://doi.org/10.1371/journal.pcbi.1007642.s003\">https://doi.org/10.1371/journal.pcbi.1007642.s003</a>.","ieee":"R. Grah and T. Friedlander, “Distribution of crosstalk values.” Public Library of Science, 2020."},"date_updated":"2023-08-18T06:47:47Z","day":"25","doi":"10.1371/journal.pcbi.1007642.s003"},{"isi":1,"external_id":{"arxiv":["1806.10823"],"isi":["000459074400013"],"pmid":[" 30728300"]},"date_updated":"2023-09-11T14:09:34Z","citation":{"ista":"Lang M, Shkolnikov M. 2019. Harmonic dynamics of the Abelian sandpile. Proceedings of the National Academy of Sciences. 116(8), 2821–2830.","short":"M. Lang, M. Shkolnikov, Proceedings of the National Academy of Sciences 116 (2019) 2821–2830.","mla":"Lang, Moritz, and Mikhail Shkolnikov. “Harmonic Dynamics of the Abelian Sandpile.” <i>Proceedings of the National Academy of Sciences</i>, vol. 116, no. 8, National Academy of Sciences, 2019, pp. 2821–30, doi:<a href=\"https://doi.org/10.1073/pnas.1812015116\">10.1073/pnas.1812015116</a>.","chicago":"Lang, Moritz, and Mikhail Shkolnikov. “Harmonic Dynamics of the Abelian Sandpile.” <i>Proceedings of the National Academy of Sciences</i>. National Academy of Sciences, 2019. <a href=\"https://doi.org/10.1073/pnas.1812015116\">https://doi.org/10.1073/pnas.1812015116</a>.","ieee":"M. Lang and M. Shkolnikov, “Harmonic dynamics of the Abelian sandpile,” <i>Proceedings of the National Academy of Sciences</i>, vol. 116, no. 8. National Academy of Sciences, pp. 2821–2830, 2019.","apa":"Lang, M., &#38; Shkolnikov, M. (2019). Harmonic dynamics of the Abelian sandpile. <i>Proceedings of the National Academy of Sciences</i>. National Academy of Sciences. <a href=\"https://doi.org/10.1073/pnas.1812015116\">https://doi.org/10.1073/pnas.1812015116</a>","ama":"Lang M, Shkolnikov M. Harmonic dynamics of the Abelian sandpile. <i>Proceedings of the National Academy of Sciences</i>. 2019;116(8):2821-2830. doi:<a href=\"https://doi.org/10.1073/pnas.1812015116\">10.1073/pnas.1812015116</a>"},"year":"2019","abstract":[{"text":"The abelian sandpile serves as a model to study self-organized criticality, a phenomenon occurring in biological, physical and social processes. The identity of the abelian group is a fractal composed of self-similar patches, and its limit is subject of extensive collaborative research. Here, we analyze the evolution of the sandpile identity under harmonic fields of different orders. We show that this evolution corresponds to periodic cycles through the abelian group characterized by the smooth transformation and apparent conservation of the patches constituting the identity. The dynamics induced by second and third order harmonics resemble smooth stretchings, respectively translations, of the identity, while the ones induced by fourth order harmonics resemble magnifications and rotations. Starting with order three, the dynamics pass through extended regions of seemingly random configurations which spontaneously reassemble into accentuated patterns. We show that the space of harmonic functions projects to the extended analogue of the sandpile group, thus providing a set of universal coordinates identifying configurations between different domains. Since the original sandpile group is a subgroup of the extended one, this directly implies that it admits a natural renormalization. Furthermore, we show that the harmonic fields can be induced by simple Markov processes, and that the corresponding stochastic dynamics show remarkable robustness over hundreds of periods. Finally, we encode information into seemingly random configurations, and decode this information with an algorithm requiring minimal prior knowledge. Our results suggest that harmonic fields might split the sandpile group into sub-sets showing different critical coefficients, and that it might be possible to extend the fractal structure of the identity beyond the boundaries of its domain. ","lang":"eng"}],"arxiv":1,"doi":"10.1073/pnas.1812015116","day":"19","acknowledgement":"M.L. is grateful to the members of the C Guet and G Tkacik groups for valuable comments and support. M.S. is grateful to Nikita Kalinin for inspiring communications.\r\n","volume":116,"author":[{"id":"29E0800A-F248-11E8-B48F-1D18A9856A87","full_name":"Lang, Moritz","last_name":"Lang","first_name":"Moritz"},{"orcid":"0000-0002-4310-178X","full_name":"Shkolnikov, Mikhail","first_name":"Mikhail","last_name":"Shkolnikov","id":"35084A62-F248-11E8-B48F-1D18A9856A87"}],"issue":"8","_id":"196","pmid":1,"scopus_import":"1","title":"Harmonic dynamics of the Abelian sandpile","intvolume":"       116","publication_status":"published","department":[{"_id":"CaGu"},{"_id":"GaTk"},{"_id":"TaHa"}],"date_created":"2018-12-11T11:45:08Z","article_processing_charge":"No","page":"2821-2830","quality_controlled":"1","article_type":"original","publisher":"National Academy of Sciences","date_published":"2019-02-19T00:00:00Z","type":"journal_article","oa":1,"publication_identifier":{"eissn":["1091-6490"]},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","related_material":{"link":[{"url":"https://ist.ac.at/en/news/famous-sandpile-model-shown-to-move-like-a-traveling-sand-dune/","relation":"press_release","description":"News on IST Webpage"}]},"status":"public","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1073/pnas.1812015116"}],"publication":"Proceedings of the National Academy of Sciences","month":"02","oa_version":"Published Version","language":[{"iso":"eng"}]},{"external_id":{"isi":["000481577700032"]},"isi":1,"citation":{"apa":"Ruess, J., Pleska, M., Guet, C. C., &#38; Tkačik, G. (2019). Molecular noise of innate immunity shapes bacteria-phage ecologies. <i>PLoS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007168\">https://doi.org/10.1371/journal.pcbi.1007168</a>","ama":"Ruess J, Pleska M, Guet CC, Tkačik G. Molecular noise of innate immunity shapes bacteria-phage ecologies. <i>PLoS Computational Biology</i>. 2019;15(7). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007168\">10.1371/journal.pcbi.1007168</a>","ieee":"J. Ruess, M. Pleska, C. C. Guet, and G. Tkačik, “Molecular noise of innate immunity shapes bacteria-phage ecologies,” <i>PLoS Computational Biology</i>, vol. 15, no. 7. Public Library of Science, 2019.","chicago":"Ruess, Jakob, Maros Pleska, Calin C Guet, and Gašper Tkačik. “Molecular Noise of Innate Immunity Shapes Bacteria-Phage Ecologies.” <i>PLoS Computational Biology</i>. Public Library of Science, 2019. <a href=\"https://doi.org/10.1371/journal.pcbi.1007168\">https://doi.org/10.1371/journal.pcbi.1007168</a>.","short":"J. Ruess, M. Pleska, C.C. Guet, G. Tkačik, PLoS Computational Biology 15 (2019).","mla":"Ruess, Jakob, et al. “Molecular Noise of Innate Immunity Shapes Bacteria-Phage Ecologies.” <i>PLoS Computational Biology</i>, vol. 15, no. 7, e1007168, Public Library of Science, 2019, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007168\">10.1371/journal.pcbi.1007168</a>.","ista":"Ruess J, Pleska M, Guet CC, Tkačik G. 2019. Molecular noise of innate immunity shapes bacteria-phage ecologies. PLoS Computational Biology. 15(7), e1007168."},"year":"2019","date_updated":"2023-08-29T07:10:06Z","abstract":[{"lang":"eng","text":"Mathematical models have been used successfully at diverse scales of biological organization, ranging from ecology and population dynamics to stochastic reaction events occurring between individual molecules in single cells. Generally, many biological processes unfold across multiple scales, with mutations being the best studied example of how stochasticity at the molecular scale can influence outcomes at the population scale. In many other contexts, however, an analogous link between micro- and macro-scale remains elusive, primarily due to the challenges involved in setting up and analyzing multi-scale models. Here, we employ such a model to investigate how stochasticity propagates from individual biochemical reaction events in the bacterial innate immune system to the ecology of bacteria and bacterial viruses. We show analytically how the dynamics of bacterial populations are shaped by the activities of immunity-conferring enzymes in single cells and how the ecological consequences imply optimal bacterial defense strategies against viruses. Our results suggest that bacterial populations in the presence of viruses can either optimize their initial growth rate or their population size, with the first strategy favoring simple immunity featuring a single restriction modification system and the second strategy favoring complex bacterial innate immunity featuring several simultaneously active restriction modification systems."}],"day":"02","doi":"10.1371/journal.pcbi.1007168","ddc":["570"],"volume":15,"issue":"7","author":[{"id":"4A245D00-F248-11E8-B48F-1D18A9856A87","full_name":"Ruess, Jakob","orcid":"0000-0003-1615-3282","last_name":"Ruess","first_name":"Jakob"},{"id":"4569785E-F248-11E8-B48F-1D18A9856A87","full_name":"Pleska, Maros","orcid":"0000-0001-7460-7479","last_name":"Pleska","first_name":"Maros"},{"full_name":"Guet, Calin C","orcid":"0000-0001-6220-2052","last_name":"Guet","first_name":"Calin C","id":"47F8433E-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Gašper","last_name":"Tkačik","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"}],"scopus_import":"1","_id":"6784","intvolume":"        15","title":"Molecular noise of innate immunity shapes bacteria-phage ecologies","article_processing_charge":"No","date_created":"2019-08-11T21:59:19Z","department":[{"_id":"CaGu"},{"_id":"GaTk"}],"publication_status":"published","file_date_updated":"2020-07-14T12:47:40Z","quality_controlled":"1","article_type":"original","publisher":"Public Library of Science","type":"journal_article","date_published":"2019-07-02T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"publication_identifier":{"eissn":["1553-7358"]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","related_material":{"record":[{"relation":"research_data","id":"9786","status":"public"}]},"file":[{"file_id":"6803","creator":"dernst","access_level":"open_access","relation":"main_file","date_updated":"2020-07-14T12:47:40Z","content_type":"application/pdf","file_name":"2019_PlosComputBiology_Ruess.pdf","date_created":"2019-08-12T12:27:26Z","file_size":2200003,"checksum":"7ded4721b41c2a0fc66a1c634540416a"}],"has_accepted_license":"1","publication":"PLoS Computational Biology","article_number":"e1007168","month":"07","project":[{"_id":"251D65D8-B435-11E9-9278-68D0E5697425","name":"Effects of Stochasticity on the Function of Restriction-Modi cation Systems at the Single-Cell Level","grant_number":"24210"},{"name":"Multi-Level Conflicts in Evolutionary Dynamics of Restriction-Modification Systems","grant_number":"RGY0079/2011","_id":"251BCBEC-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version","language":[{"iso":"eng"}]},{"volume":15,"ddc":["570"],"date_updated":"2023-09-07T12:55:21Z","year":"2019","citation":{"apa":"Cepeda Humerez, S. A., Ruess, J., &#38; Tkačik, G. (2019). Estimating information in time-varying signals. <i>PLoS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007290\">https://doi.org/10.1371/journal.pcbi.1007290</a>","ama":"Cepeda Humerez SA, Ruess J, Tkačik G. Estimating information in time-varying signals. <i>PLoS computational biology</i>. 2019;15(9):e1007290. doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007290\">10.1371/journal.pcbi.1007290</a>","ieee":"S. A. Cepeda Humerez, J. Ruess, and G. Tkačik, “Estimating information in time-varying signals,” <i>PLoS computational biology</i>, vol. 15, no. 9. Public Library of Science, p. e1007290, 2019.","chicago":"Cepeda Humerez, Sarah A, Jakob Ruess, and Gašper Tkačik. “Estimating Information in Time-Varying Signals.” <i>PLoS Computational Biology</i>. Public Library of Science, 2019. <a href=\"https://doi.org/10.1371/journal.pcbi.1007290\">https://doi.org/10.1371/journal.pcbi.1007290</a>.","mla":"Cepeda Humerez, Sarah A., et al. “Estimating Information in Time-Varying Signals.” <i>PLoS Computational Biology</i>, vol. 15, no. 9, Public Library of Science, 2019, p. e1007290, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007290\">10.1371/journal.pcbi.1007290</a>.","short":"S.A. Cepeda Humerez, J. Ruess, G. Tkačik, PLoS Computational Biology 15 (2019) e1007290.","ista":"Cepeda Humerez SA, Ruess J, Tkačik G. 2019. Estimating information in time-varying signals. PLoS computational biology. 15(9), e1007290."},"isi":1,"external_id":{"isi":["000489741800021"],"pmid":["31479447"]},"doi":"10.1371/journal.pcbi.1007290","day":"03","abstract":[{"lang":"eng","text":"Across diverse biological systems—ranging from neural networks to intracellular signaling and genetic regulatory networks—the information about changes in the environment is frequently encoded in the full temporal dynamics of the network nodes. A pressing data-analysis challenge has thus been to efficiently estimate the amount of information that these dynamics convey from experimental data. Here we develop and evaluate decoding-based estimation methods to lower bound the mutual information about a finite set of inputs, encoded in single-cell high-dimensional time series data. For biological reaction networks governed by the chemical Master equation, we derive model-based information approximations and analytical upper bounds, against which we benchmark our proposed model-free decoding estimators. In contrast to the frequently-used k-nearest-neighbor estimator, decoding-based estimators robustly extract a large fraction of the available information from high-dimensional trajectories with a realistic number of data samples. We apply these estimators to previously published data on Erk and Ca2+ signaling in mammalian cells and to yeast stress-response, and find that substantial amount of information about environmental state can be encoded by non-trivial response statistics even in stationary signals. We argue that these single-cell, decoding-based information estimates, rather than the commonly-used tests for significant differences between selected population response statistics, provide a proper and unbiased measure for the performance of biological signaling networks."}],"page":"e1007290","quality_controlled":"1","file_date_updated":"2020-07-14T12:47:44Z","publisher":"Public Library of Science","pmid":1,"_id":"6900","scopus_import":"1","author":[{"id":"3DEE19A4-F248-11E8-B48F-1D18A9856A87","full_name":"Cepeda Humerez, Sarah A","first_name":"Sarah A","last_name":"Cepeda Humerez"},{"first_name":"Jakob","last_name":"Ruess","orcid":"0000-0003-1615-3282","full_name":"Ruess, Jakob"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper","first_name":"Gašper","last_name":"Tkačik"}],"issue":"9","publication_status":"published","article_processing_charge":"No","department":[{"_id":"GaTk"}],"date_created":"2019-09-22T22:00:37Z","title":"Estimating information in time-varying signals","intvolume":"        15","file":[{"date_created":"2019-10-01T10:53:45Z","file_size":3081855,"checksum":"81bdce1361c9aa8395d6fa635fb6ab47","date_updated":"2020-07-14T12:47:44Z","content_type":"application/pdf","file_name":"2019_PLoS_Cepeda-Humerez.pdf","access_level":"open_access","relation":"main_file","file_id":"6925","creator":"kschuh"}],"related_material":{"record":[{"relation":"part_of_dissertation","id":"6473","status":"public"}]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_published":"2019-09-03T00:00:00Z","type":"journal_article","publication_identifier":{"eissn":["15537358"]},"oa":1,"language":[{"iso":"eng"}],"publication":"PLoS computational biology","has_accepted_license":"1","oa_version":"Published Version","project":[{"name":"Biophysics of information processing in gene regulation","grant_number":"P28844-B27","call_identifier":"FWF","_id":"254E9036-B435-11E9-9278-68D0E5697425"}],"month":"09"},{"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file":[{"checksum":"2a096a9c6dcc6eaa94077b2603bc6c12","file_size":3982516,"date_created":"2019-11-25T08:24:01Z","content_type":"application/pdf","file_name":"2019_PLOSComBio_Wang.pdf","date_updated":"2020-07-14T12:47:49Z","access_level":"open_access","relation":"main_file","creator":"dernst","file_id":"7104"}],"type":"journal_article","date_published":"2019-11-01T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"publication_identifier":{"issn":["1553-7358"]},"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"PLoS Computational Biology","article_number":"e1007268","month":"11","project":[{"name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411","call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version","ddc":["570","000"],"volume":15,"external_id":{"isi":["000500976100014"],"pmid":["31725712"]},"isi":1,"citation":{"ama":"Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. <i>PLoS Computational Biology</i>. 2019;15(11). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007268\">10.1371/journal.pcbi.1007268</a>","apa":"Wang, J. W. J. L., Lombardi, F., Zhang, X., Anaclet, C., &#38; Ivanov, P. C. (2019). Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. <i>PLoS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1007268\">https://doi.org/10.1371/journal.pcbi.1007268</a>","ieee":"J. W. J. L. Wang, F. Lombardi, X. Zhang, C. Anaclet, and P. C. Ivanov, “Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture,” <i>PLoS Computational Biology</i>, vol. 15, no. 11. Public Library of Science, 2019.","chicago":"Wang, Jilin W. J. L., Fabrizio Lombardi, Xiyun Zhang, Christelle Anaclet, and Plamen Ch. Ivanov. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” <i>PLoS Computational Biology</i>. Public Library of Science, 2019. <a href=\"https://doi.org/10.1371/journal.pcbi.1007268\">https://doi.org/10.1371/journal.pcbi.1007268</a>.","mla":"Wang, Jilin W. J. L., et al. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” <i>PLoS Computational Biology</i>, vol. 15, no. 11, e1007268, Public Library of Science, 2019, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1007268\">10.1371/journal.pcbi.1007268</a>.","short":"J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational Biology 15 (2019).","ista":"Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. 2019. Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. 15(11), e1007268."},"year":"2019","date_updated":"2023-10-17T12:30:07Z","abstract":[{"text":"Origin and functions of intermittent transitions among sleep stages, including short awakenings and arousals, constitute a challenge to the current homeostatic framework for sleep regulation, focusing on factors modulating sleep over large time scales. Here we propose that the complex micro-architecture characterizing the sleep-wake cycle results from an underlying non-equilibrium critical dynamics, bridging collective behaviors across spatio-temporal scales. We investigate θ and δ wave dynamics in control rats and in rats with lesions of sleep-promoting neurons in the parafacial zone. We demonstrate that intermittent bursts in θ and δ rhythms exhibit a complex temporal organization, with long-range power-law correlations and a robust duality of power law (θ-bursts, active phase) and exponential-like (δ-bursts, quiescent phase) duration distributions, typical features of non-equilibrium systems self-organizing at criticality. Crucially, such temporal organization relates to anti-correlated coupling between θ- and δ-bursts, and is independent of the dominant physiologic state and lesions, a solid indication of a basic principle in sleep dynamics.","lang":"eng"}],"day":"01","doi":"10.1371/journal.pcbi.1007268","file_date_updated":"2020-07-14T12:47:49Z","quality_controlled":"1","ec_funded":1,"article_type":"original","publisher":"Public Library of Science","issue":"11","author":[{"full_name":"Wang, Jilin W. J. L.","last_name":"Wang","first_name":"Jilin W. J. L."},{"orcid":"0000-0003-2623-5249","full_name":"Lombardi, Fabrizio","first_name":"Fabrizio","last_name":"Lombardi","id":"A057D288-3E88-11E9-986D-0CF4E5697425"},{"full_name":"Zhang, Xiyun","first_name":"Xiyun","last_name":"Zhang"},{"last_name":"Anaclet","first_name":"Christelle","full_name":"Anaclet, Christelle"},{"last_name":"Ivanov","first_name":"Plamen Ch.","full_name":"Ivanov, Plamen Ch."}],"scopus_import":"1","pmid":1,"_id":"7103","intvolume":"        15","title":"Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture","department":[{"_id":"GaTk"}],"article_processing_charge":"No","date_created":"2019-11-25T08:20:47Z","publication_status":"published"},{"quality_controlled":"1","publisher":"AIP Publishing","article_type":"original","_id":"7422","issue":"5","author":[{"id":"3E999752-F248-11E8-B48F-1D18A9856A87","full_name":"Sokolowski, Thomas R","orcid":"0000-0002-1287-3779","last_name":"Sokolowski","first_name":"Thomas R"},{"full_name":"Paijmans, Joris","last_name":"Paijmans","first_name":"Joris"},{"last_name":"Bossen","first_name":"Laurens","full_name":"Bossen, Laurens"},{"full_name":"Miedema, Thomas","last_name":"Miedema","first_name":"Thomas"},{"first_name":"Martijn","last_name":"Wehrens","full_name":"Wehrens, Martijn"},{"full_name":"Becker, Nils B.","last_name":"Becker","first_name":"Nils B."},{"full_name":"Kaizu, Kazunari","first_name":"Kazunari","last_name":"Kaizu"},{"full_name":"Takahashi, Koichi","last_name":"Takahashi","first_name":"Koichi"},{"first_name":"Marileen","last_name":"Dogterom","full_name":"Dogterom, Marileen"},{"first_name":"Pieter Rein","last_name":"ten Wolde","full_name":"ten Wolde, Pieter Rein"}],"date_created":"2020-01-30T10:34:36Z","article_processing_charge":"No","department":[{"_id":"GaTk"}],"publication_status":"published","intvolume":"       150","title":"eGFRD in all dimensions","volume":150,"citation":{"ista":"Sokolowski TR, Paijmans J, Bossen L, Miedema T, Wehrens M, Becker NB, Kaizu K, Takahashi K, Dogterom M, ten Wolde PR. 2019. eGFRD in all dimensions. The Journal of Chemical Physics. 150(5), 054108.","short":"T.R. Sokolowski, J. Paijmans, L. Bossen, T. Miedema, M. Wehrens, N.B. Becker, K. Kaizu, K. Takahashi, M. Dogterom, P.R. ten Wolde, The Journal of Chemical Physics 150 (2019).","mla":"Sokolowski, Thomas R., et al. “EGFRD in All Dimensions.” <i>The Journal of Chemical Physics</i>, vol. 150, no. 5, 054108, AIP Publishing, 2019, doi:<a href=\"https://doi.org/10.1063/1.5064867\">10.1063/1.5064867</a>.","ieee":"T. R. Sokolowski <i>et al.</i>, “eGFRD in all dimensions,” <i>The Journal of Chemical Physics</i>, vol. 150, no. 5. AIP Publishing, 2019.","chicago":"Sokolowski, Thomas R, Joris Paijmans, Laurens Bossen, Thomas Miedema, Martijn Wehrens, Nils B. Becker, Kazunari Kaizu, Koichi Takahashi, Marileen Dogterom, and Pieter Rein ten Wolde. “EGFRD in All Dimensions.” <i>The Journal of Chemical Physics</i>. AIP Publishing, 2019. <a href=\"https://doi.org/10.1063/1.5064867\">https://doi.org/10.1063/1.5064867</a>.","apa":"Sokolowski, T. R., Paijmans, J., Bossen, L., Miedema, T., Wehrens, M., Becker, N. B., … ten Wolde, P. R. (2019). eGFRD in all dimensions. <i>The Journal of Chemical Physics</i>. AIP Publishing. <a href=\"https://doi.org/10.1063/1.5064867\">https://doi.org/10.1063/1.5064867</a>","ama":"Sokolowski TR, Paijmans J, Bossen L, et al. eGFRD in all dimensions. <i>The Journal of Chemical Physics</i>. 2019;150(5). doi:<a href=\"https://doi.org/10.1063/1.5064867\">10.1063/1.5064867</a>"},"year":"2019","date_updated":"2023-09-06T14:59:28Z","external_id":{"arxiv":["1708.09364"],"isi":["000458109300009"]},"isi":1,"day":"07","doi":"10.1063/1.5064867","arxiv":1,"abstract":[{"text":"Biochemical reactions often occur at low copy numbers but at once in crowded and diverse environments. Space and stochasticity therefore play an essential role in biochemical networks. Spatial-stochastic simulations have become a prominent tool for understanding how stochasticity at the microscopic level influences the macroscopic behavior of such systems. While particle-based models guarantee the level of detail necessary to accurately describe the microscopic dynamics at very low copy numbers, the algorithms used to simulate them typically imply trade-offs between computational efficiency and biochemical accuracy. eGFRD (enhanced Green’s Function Reaction Dynamics) is an exact algorithm that evades such trade-offs by partitioning the N-particle system into M ≤ N analytically tractable one- and two-particle systems; the analytical solutions (Green’s functions) then are used to implement an event-driven particle-based scheme that allows particles to make large jumps in time and space while retaining access to their state variables at arbitrary simulation times. Here we present “eGFRD2,” a new eGFRD version that implements the principle of eGFRD in all dimensions, thus enabling efficient particle-based simulation of biochemical reaction-diffusion processes in the 3D cytoplasm, on 2D planes representing membranes, and on 1D elongated cylinders representative of, e.g., cytoskeletal tracks or DNA; in 1D, it also incorporates convective motion used to model active transport. We find that, for low particle densities, eGFRD2 is up to 6 orders of magnitude faster than conventional Brownian dynamics. We exemplify the capabilities of eGFRD2 by simulating an idealized model of Pom1 gradient formation, which involves 3D diffusion, active transport on microtubules, and autophosphorylation on the membrane, confirming recent experimental and theoretical results on this system to hold under genuinely stochastic conditions.","lang":"eng"}],"language":[{"iso":"eng"}],"publication":"The Journal of Chemical Physics","oa_version":"Preprint","article_number":"054108","month":"02","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1708.09364"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","type":"journal_article","date_published":"2019-02-07T00:00:00Z","publication_identifier":{"eissn":["1089-7690"],"issn":["0021-9606"]},"oa":1},{"day":"18","arxiv":1,"oa":1,"abstract":[{"text":"There is increasing evidence that protein binding to specific sites along DNA can activate the reading out of genetic information without coming into direct physical contact with the gene. There also is evidence that these distant but interacting sites are embedded in a liquid droplet of proteins which condenses out of the surrounding solution. We argue that droplet-mediated interactions can account for crucial features of gene regulation only if the droplet is poised at a non-generic point in its phase diagram. We explore a minimal model that embodies this idea, show that this model has a natural mechanism for self-tuning, and suggest direct experimental tests. ","lang":"eng"}],"citation":{"short":"W. Bialek, T. Gregor, G. Tkačik, ArXiv:1912.08579 (n.d.).","mla":"Bialek, William, et al. “Action at a Distance in Transcriptional Regulation.” <i>ArXiv:1912.08579</i>, ArXiv.","ista":"Bialek W, Gregor T, Tkačik G. Action at a distance in transcriptional regulation. arXiv:1912.08579, .","apa":"Bialek, W., Gregor, T., &#38; Tkačik, G. (n.d.). Action at a distance in transcriptional regulation. <i>arXiv:1912.08579</i>. ArXiv.","ama":"Bialek W, Gregor T, Tkačik G. Action at a distance in transcriptional regulation. <i>arXiv:191208579</i>.","ieee":"W. Bialek, T. Gregor, and G. Tkačik, “Action at a distance in transcriptional regulation,” <i>arXiv:1912.08579</i>. ArXiv.","chicago":"Bialek, William, Thomas Gregor, and Gašper Tkačik. “Action at a Distance in Transcriptional Regulation.” <i>ArXiv:1912.08579</i>. ArXiv, n.d."},"year":"2019","date_updated":"2021-01-12T08:14:09Z","type":"preprint","external_id":{"arxiv":["1912.08579"]},"date_published":"2019-12-18T00:00:00Z","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1912.08579"}],"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2020-02-28T10:57:08Z","department":[{"_id":"GaTk"}],"project":[{"call_identifier":"FWF","_id":"254E9036-B435-11E9-9278-68D0E5697425","grant_number":"P28844-B27","name":"Biophysics of information processing in gene regulation"}],"article_processing_charge":"No","publication_status":"submitted","oa_version":"Preprint","month":"12","title":"Action at a distance in transcriptional regulation","_id":"7552","publication":"arXiv:1912.08579","author":[{"last_name":"Bialek","first_name":"William","full_name":"Bialek, William"},{"last_name":"Gregor","first_name":"Thomas","full_name":"Gregor, Thomas"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper","last_name":"Tkačik","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper"}],"publisher":"ArXiv","page":"5","language":[{"iso":"eng"}]},{"external_id":{"arxiv":["1812.01475"],"isi":["000540384500015"]},"isi":1,"year":"2019","citation":{"short":"M. Hledik, T.R. Sokolowski, G. Tkačik, in:, IEEE Information Theory Workshop, ITW 2019, IEEE, 2019.","mla":"Hledik, Michal, et al. “A Tight Upper Bound on Mutual Information.” <i>IEEE Information Theory Workshop, ITW 2019</i>, 8989292, IEEE, 2019, doi:<a href=\"https://doi.org/10.1109/ITW44776.2019.8989292\">10.1109/ITW44776.2019.8989292</a>.","ista":"Hledik M, Sokolowski TR, Tkačik G. 2019. A tight upper bound on mutual information. IEEE Information Theory Workshop, ITW 2019. Information Theory Workshop, 8989292.","apa":"Hledik, M., Sokolowski, T. R., &#38; Tkačik, G. (2019). A tight upper bound on mutual information. In <i>IEEE Information Theory Workshop, ITW 2019</i>. Visby, Sweden: IEEE. <a href=\"https://doi.org/10.1109/ITW44776.2019.8989292\">https://doi.org/10.1109/ITW44776.2019.8989292</a>","ama":"Hledik M, Sokolowski TR, Tkačik G. A tight upper bound on mutual information. In: <i>IEEE Information Theory Workshop, ITW 2019</i>. IEEE; 2019. doi:<a href=\"https://doi.org/10.1109/ITW44776.2019.8989292\">10.1109/ITW44776.2019.8989292</a>","ieee":"M. Hledik, T. R. Sokolowski, and G. Tkačik, “A tight upper bound on mutual information,” in <i>IEEE Information Theory Workshop, ITW 2019</i>, Visby, Sweden, 2019.","chicago":"Hledik, Michal, Thomas R Sokolowski, and Gašper Tkačik. “A Tight Upper Bound on Mutual Information.” In <i>IEEE Information Theory Workshop, ITW 2019</i>. IEEE, 2019. <a href=\"https://doi.org/10.1109/ITW44776.2019.8989292\">https://doi.org/10.1109/ITW44776.2019.8989292</a>."},"date_updated":"2025-06-30T13:21:05Z","abstract":[{"lang":"eng","text":"We derive a tight lower bound on equivocation (conditional entropy), or equivalently a tight upper bound on mutual information between a signal variable and channel outputs. The bound is in terms of the joint distribution of the signals and maximum a posteriori decodes (most probable signals given channel output). As part of our derivation, we describe the key properties of the distribution of signals, channel outputs and decodes, that minimizes equivocation and maximizes mutual information. This work addresses a problem in data analysis, where mutual information between signals and decodes is sometimes used to lower bound the mutual information between signals and channel outputs. Our result provides a corresponding upper bound."}],"day":"01","doi":"10.1109/ITW44776.2019.8989292","arxiv":1,"ec_funded":1,"quality_controlled":"1","publisher":"IEEE","author":[{"id":"4171253A-F248-11E8-B48F-1D18A9856A87","last_name":"Hledik","first_name":"Michal","full_name":"Hledik, Michal"},{"last_name":"Sokolowski","first_name":"Thomas R","full_name":"Sokolowski, Thomas R","orcid":"0000-0002-1287-3779","id":"3E999752-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper","first_name":"Gašper","last_name":"Tkačik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"}],"scopus_import":"1","_id":"7606","title":"A tight upper bound on mutual information","department":[{"_id":"GaTk"}],"date_created":"2020-03-22T23:00:47Z","article_processing_charge":"No","publication_status":"published","related_material":{"record":[{"id":"15020","relation":"dissertation_contains","status":"public"}]},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1812.01475"}],"type":"conference","date_published":"2019-08-01T00:00:00Z","oa":1,"publication_identifier":{"isbn":["9781538669006"]},"language":[{"iso":"eng"}],"conference":{"end_date":"2019-08-28","location":"Visby, Sweden","start_date":"2019-08-25","name":"Information Theory Workshop"},"publication":"IEEE Information Theory Workshop, ITW 2019","article_number":"8989292","month":"08","project":[{"name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"oa_version":"Preprint"},{"article_type":"original","publisher":"Royal Society of Chemistry","file_date_updated":"2020-10-09T11:00:05Z","page":"602-614","quality_controlled":"1","title":"Limiting shapes of confined lipid vesicles","intvolume":"        15","publication_status":"published","article_processing_charge":"No","date_created":"2019-01-11T07:37:47Z","department":[{"_id":"GaTk"}],"author":[{"id":"350F91D2-F248-11E8-B48F-1D18A9856A87","full_name":"Kavcic, Bor","orcid":"0000-0001-6041-254X","last_name":"Kavcic","first_name":"Bor"},{"last_name":"Sakashita","first_name":"A.","full_name":"Sakashita, A."},{"last_name":"Noguchi","first_name":"H.","full_name":"Noguchi, H."},{"last_name":"Ziherl","first_name":"P.","full_name":"Ziherl, P."}],"issue":"4","pmid":1,"_id":"5817","scopus_import":"1","license":"https://creativecommons.org/licenses/by-nc-nd/3.0/","ddc":["530"],"volume":15,"abstract":[{"text":"We theoretically study the shapes of lipid vesicles confined to a spherical cavity, elaborating a framework based on the so-called limiting shapes constructed from geometrically simple structural elements such as double-membrane walls and edges. Partly inspired by numerical results, the proposed non-compartmentalized and compartmentalized limiting shapes are arranged in the bilayer-couple phase diagram which is then compared to its free-vesicle counterpart. We also compute the area-difference-elasticity phase diagram of the limiting shapes and we use it to interpret shape transitions experimentally observed in vesicles confined within another vesicle. The limiting-shape framework may be generalized to theoretically investigate the structure of certain cell organelles such as the mitochondrion.","lang":"eng"}],"doi":"10.1039/c8sm01956h","day":"10","isi":1,"external_id":{"pmid":["30629082"],"isi":["000457329700003"]},"date_updated":"2023-09-13T08:47:16Z","year":"2019","citation":{"ieee":"B. Kavcic, A. Sakashita, H. Noguchi, and P. Ziherl, “Limiting shapes of confined lipid vesicles,” <i>Soft Matter</i>, vol. 15, no. 4. Royal Society of Chemistry, pp. 602–614, 2019.","chicago":"Kavcic, Bor, A. Sakashita, H. Noguchi, and P. Ziherl. “Limiting Shapes of Confined Lipid Vesicles.” <i>Soft Matter</i>. Royal Society of Chemistry, 2019. <a href=\"https://doi.org/10.1039/c8sm01956h\">https://doi.org/10.1039/c8sm01956h</a>.","apa":"Kavcic, B., Sakashita, A., Noguchi, H., &#38; Ziherl, P. (2019). Limiting shapes of confined lipid vesicles. <i>Soft Matter</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/c8sm01956h\">https://doi.org/10.1039/c8sm01956h</a>","ama":"Kavcic B, Sakashita A, Noguchi H, Ziherl P. Limiting shapes of confined lipid vesicles. <i>Soft Matter</i>. 2019;15(4):602-614. doi:<a href=\"https://doi.org/10.1039/c8sm01956h\">10.1039/c8sm01956h</a>","ista":"Kavcic B, Sakashita A, Noguchi H, Ziherl P. 2019. Limiting shapes of confined lipid vesicles. Soft Matter. 15(4), 602–614.","short":"B. Kavcic, A. Sakashita, H. Noguchi, P. Ziherl, Soft Matter 15 (2019) 602–614.","mla":"Kavcic, Bor, et al. “Limiting Shapes of Confined Lipid Vesicles.” <i>Soft Matter</i>, vol. 15, no. 4, Royal Society of Chemistry, 2019, pp. 602–14, doi:<a href=\"https://doi.org/10.1039/c8sm01956h\">10.1039/c8sm01956h</a>."},"language":[{"iso":"eng"}],"month":"01","oa_version":"Submitted Version","publication":"Soft Matter","has_accepted_license":"1","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","file":[{"success":1,"relation":"main_file","access_level":"open_access","creator":"bkavcic","file_id":"8641","checksum":"614c337d6424ccd3d48d1b1f9513510d","file_size":5370762,"date_created":"2020-10-09T11:00:05Z","file_name":"lmt_sftmtr_V8.pdf","content_type":"application/pdf","date_updated":"2020-10-09T11:00:05Z"}],"oa":1,"publication_identifier":{"issn":["1744-683X"],"eissn":["1744-6848"]},"date_published":"2019-01-10T00:00:00Z","type":"journal_article","tmp":{"short":"CC BY-NC-ND (3.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)","image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode"}},{"oa":1,"type":"journal_article","date_published":"2019-02-07T00:00:00Z","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","related_material":{"link":[{"url":"https://ist.ac.at/en/news/cells-find-their-identity-using-a-mathematically-optimal-strategy/","relation":"press_release","description":"News on IST Homepage"}]},"main_file_link":[{"url":"https://doi.org/10.1016/j.cell.2019.01.007","open_access":"1"}],"month":"02","project":[{"grant_number":"P28844-B27","name":"Biophysics of information processing in gene regulation","_id":"254E9036-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"oa_version":"Published Version","publication":"Cell","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"In developing organisms, spatially prescribed cell identities are thought to be determined by the expression levels of multiple genes. Quantitative tests of this idea, however, require a theoretical framework capable of exposing the rules and precision of cell specification over developmental time. We use the gap gene network in the early fly embryo as an example to show how expression levels of the four gap genes can be jointly decoded into an optimal specification of position with 1% accuracy. The decoder correctly predicts, with no free parameters, the dynamics of pair-rule expression patterns at different developmental time points and in various mutant backgrounds. Precise cellular identities are thus available at the earliest stages of development, contrasting the prevailing view of positional information being slowly refined across successive layers of the patterning network. Our results suggest that developmental enhancers closely approximate a mathematically optimal decoding strategy."}],"day":"07","doi":"10.1016/j.cell.2019.01.007","external_id":{"isi":["000457969200015"],"pmid":["30712870"]},"isi":1,"citation":{"mla":"Petkova, Mariela D., et al. “Optimal Decoding of Cellular Identities in a Genetic Network.” <i>Cell</i>, vol. 176, no. 4, Cell Press, 2019, p. 844–855.e15, doi:<a href=\"https://doi.org/10.1016/j.cell.2019.01.007\">10.1016/j.cell.2019.01.007</a>.","short":"M.D. Petkova, G. Tkačik, W. Bialek, E.F. Wieschaus, T. Gregor, Cell 176 (2019) 844–855.e15.","ista":"Petkova MD, Tkačik G, Bialek W, Wieschaus EF, Gregor T. 2019. Optimal decoding of cellular identities in a genetic network. Cell. 176(4), 844–855.e15.","apa":"Petkova, M. D., Tkačik, G., Bialek, W., Wieschaus, E. F., &#38; Gregor, T. (2019). Optimal decoding of cellular identities in a genetic network. <i>Cell</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.cell.2019.01.007\">https://doi.org/10.1016/j.cell.2019.01.007</a>","ama":"Petkova MD, Tkačik G, Bialek W, Wieschaus EF, Gregor T. Optimal decoding of cellular identities in a genetic network. <i>Cell</i>. 2019;176(4):844-855.e15. doi:<a href=\"https://doi.org/10.1016/j.cell.2019.01.007\">10.1016/j.cell.2019.01.007</a>","chicago":"Petkova, Mariela D., Gašper Tkačik, William Bialek, Eric F. Wieschaus, and Thomas Gregor. “Optimal Decoding of Cellular Identities in a Genetic Network.” <i>Cell</i>. Cell Press, 2019. <a href=\"https://doi.org/10.1016/j.cell.2019.01.007\">https://doi.org/10.1016/j.cell.2019.01.007</a>.","ieee":"M. D. Petkova, G. Tkačik, W. Bialek, E. F. Wieschaus, and T. Gregor, “Optimal decoding of cellular identities in a genetic network,” <i>Cell</i>, vol. 176, no. 4. Cell Press, p. 844–855.e15, 2019."},"year":"2019","date_updated":"2023-08-24T14:42:47Z","volume":176,"intvolume":"       176","title":"Optimal decoding of cellular identities in a genetic network","article_processing_charge":"No","date_created":"2019-02-10T22:59:16Z","department":[{"_id":"GaTk"}],"publication_status":"published","issue":"4","author":[{"full_name":"Petkova, Mariela D.","last_name":"Petkova","first_name":"Mariela D."},{"orcid":"0000-0002-6699-1455","full_name":"Tkacik, Gasper","first_name":"Gasper","last_name":"Tkacik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Bialek, William","first_name":"William","last_name":"Bialek"},{"full_name":"Wieschaus, Eric F.","last_name":"Wieschaus","first_name":"Eric F."},{"first_name":"Thomas","last_name":"Gregor","full_name":"Gregor, Thomas"}],"scopus_import":"1","_id":"5945","pmid":1,"article_type":"original","publisher":"Cell Press","quality_controlled":"1","page":"844-855.e15"},{"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pubmed/30765425"}],"status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","type":"journal_article","date_published":"2019-02-14T00:00:00Z","oa":1,"language":[{"iso":"eng"}],"publication":"Molecular systems biology","project":[{"name":"Revealing the mechanisms underlying drug interactions","grant_number":"P27201-B22","_id":"25E9AF9E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"_id":"25EB3A80-B435-11E9-9278-68D0E5697425","grant_number":"RGP0042/2013","name":"Revealing the fundamental limits of cell growth"}],"acknowledged_ssus":[{"_id":"Bio"}],"oa_version":"Submitted Version","article_number":"e8470","month":"02","volume":15,"year":"2019","citation":{"ama":"Mitosch K, Rieckh G, Bollenbach MT. Temporal order and precision of complex stress responses in individual bacteria. <i>Molecular systems biology</i>. 2019;15(2). doi:<a href=\"https://doi.org/10.15252/msb.20188470\">10.15252/msb.20188470</a>","apa":"Mitosch, K., Rieckh, G., &#38; Bollenbach, M. T. (2019). Temporal order and precision of complex stress responses in individual bacteria. <i>Molecular Systems Biology</i>. Embo Press. <a href=\"https://doi.org/10.15252/msb.20188470\">https://doi.org/10.15252/msb.20188470</a>","chicago":"Mitosch, Karin, Georg Rieckh, and Mark Tobias Bollenbach. “Temporal Order and Precision of Complex Stress Responses in Individual Bacteria.” <i>Molecular Systems Biology</i>. Embo Press, 2019. <a href=\"https://doi.org/10.15252/msb.20188470\">https://doi.org/10.15252/msb.20188470</a>.","ieee":"K. Mitosch, G. Rieckh, and M. T. Bollenbach, “Temporal order and precision of complex stress responses in individual bacteria,” <i>Molecular systems biology</i>, vol. 15, no. 2. Embo Press, 2019.","mla":"Mitosch, Karin, et al. “Temporal Order and Precision of Complex Stress Responses in Individual Bacteria.” <i>Molecular Systems Biology</i>, vol. 15, no. 2, e8470, Embo Press, 2019, doi:<a href=\"https://doi.org/10.15252/msb.20188470\">10.15252/msb.20188470</a>.","short":"K. Mitosch, G. Rieckh, M.T. Bollenbach, Molecular Systems Biology 15 (2019).","ista":"Mitosch K, Rieckh G, Bollenbach MT. 2019. Temporal order and precision of complex stress responses in individual bacteria. Molecular systems biology. 15(2), e8470."},"date_updated":"2023-08-24T14:49:53Z","external_id":{"pmid":["30765425"],"isi":["000459628300003"]},"isi":1,"day":"14","doi":"10.15252/msb.20188470","abstract":[{"text":"Sudden stress often triggers diverse, temporally structured gene expression responses in microbes, but it is largely unknown how variable in time such responses are and if genes respond in the same temporal order in every single cell. Here, we quantified timing variability of individual promoters responding to sublethal antibiotic stress using fluorescent reporters, microfluidics, and time‐lapse microscopy. We identified lower and upper bounds that put definite constraints on timing variability, which varies strongly among promoters and conditions. Timing variability can be interpreted using results from statistical kinetics, which enable us to estimate the number of rate‐limiting molecular steps underlying different responses. We found that just a few critical steps control some responses while others rely on dozens of steps. To probe connections between different stress responses, we then tracked the temporal order and response time correlations of promoter pairs in individual cells. Our results support that, when bacteria are exposed to the antibiotic nitrofurantoin, the ensuing oxidative stress and SOS responses are part of the same causal chain of molecular events. In contrast, under trimethoprim, the acid stress response and the SOS response are part of different chains of events running in parallel. Our approach reveals fundamental constraints on gene expression timing and provides new insights into the molecular events that underlie the timing of stress responses.","lang":"eng"}],"quality_controlled":"1","publisher":"Embo Press","scopus_import":"1","pmid":1,"_id":"6046","issue":"2","author":[{"id":"39B66846-F248-11E8-B48F-1D18A9856A87","last_name":"Mitosch","first_name":"Karin","full_name":"Mitosch, Karin"},{"id":"34DA8BD6-F248-11E8-B48F-1D18A9856A87","full_name":"Rieckh, Georg","first_name":"Georg","last_name":"Rieckh"},{"id":"3E6DB97A-F248-11E8-B48F-1D18A9856A87","first_name":"Mark Tobias","last_name":"Bollenbach","orcid":"0000-0003-4398-476X","full_name":"Bollenbach, Mark Tobias"}],"article_processing_charge":"No","date_created":"2019-02-24T22:59:18Z","department":[{"_id":"GaTk"}],"publication_status":"published","intvolume":"        15","title":"Temporal order and precision of complex stress responses in individual bacteria"},{"department":[{"_id":"GaTk"}],"date_created":"2019-02-24T22:59:19Z","article_processing_charge":"Yes (in subscription journal)","publication_status":"published","intvolume":"        52","title":"Feedback-induced self-oscillations in large interacting systems subjected to phase transitions","scopus_import":"1","_id":"6049","issue":"4","author":[{"id":"3FF5848A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5214-4706","full_name":"De Martino, Daniele","first_name":"Daniele","last_name":"De Martino"}],"publisher":"IOP Publishing","quality_controlled":"1","ec_funded":1,"file_date_updated":"2020-07-14T12:47:17Z","day":"07","doi":"10.1088/1751-8121/aaf2dd","abstract":[{"lang":"eng","text":"In this article it is shown that large systems with many interacting units endowing multiple phases display self-oscillations in the presence of linear feedback between the control and order parameters, where an Andronov–Hopf bifurcation takes over the phase transition. This is simply illustrated through the mean field Landau theory whose feedback dynamics turn out to be described by the Van der Pol equation and it is then validated for the fully connected Ising model following heat bath dynamics. Despite its simplicity, this theory accounts potentially for a rich range of phenomena: here it is applied to describe in a stylized way (i) excess demand-price cycles due to strong herding in a simple agent-based market model; (ii) congestion waves in queuing networks triggered by user feedback to delays in overloaded conditions; and (iii) metabolic network oscillations resulting from cell growth control in a bistable phenotypic landscape."}],"year":"2019","citation":{"mla":"De Martino, Daniele. “Feedback-Induced Self-Oscillations in Large Interacting Systems Subjected to Phase Transitions.” <i>Journal of Physics A: Mathematical and Theoretical</i>, vol. 52, no. 4, 045002, IOP Publishing, 2019, doi:<a href=\"https://doi.org/10.1088/1751-8121/aaf2dd\">10.1088/1751-8121/aaf2dd</a>.","short":"D. De Martino, Journal of Physics A: Mathematical and Theoretical 52 (2019).","ista":"De Martino D. 2019. Feedback-induced self-oscillations in large interacting systems subjected to phase transitions. Journal of Physics A: Mathematical and Theoretical. 52(4), 045002.","apa":"De Martino, D. (2019). Feedback-induced self-oscillations in large interacting systems subjected to phase transitions. <i>Journal of Physics A: Mathematical and Theoretical</i>. IOP Publishing. <a href=\"https://doi.org/10.1088/1751-8121/aaf2dd\">https://doi.org/10.1088/1751-8121/aaf2dd</a>","ama":"De Martino D. Feedback-induced self-oscillations in large interacting systems subjected to phase transitions. <i>Journal of Physics A: Mathematical and Theoretical</i>. 2019;52(4). doi:<a href=\"https://doi.org/10.1088/1751-8121/aaf2dd\">10.1088/1751-8121/aaf2dd</a>","ieee":"D. De Martino, “Feedback-induced self-oscillations in large interacting systems subjected to phase transitions,” <i>Journal of Physics A: Mathematical and Theoretical</i>, vol. 52, no. 4. IOP Publishing, 2019.","chicago":"De Martino, Daniele. “Feedback-Induced Self-Oscillations in Large Interacting Systems Subjected to Phase Transitions.” <i>Journal of Physics A: Mathematical and Theoretical</i>. IOP Publishing, 2019. <a href=\"https://doi.org/10.1088/1751-8121/aaf2dd\">https://doi.org/10.1088/1751-8121/aaf2dd</a>."},"date_updated":"2023-08-24T14:49:23Z","external_id":{"isi":["000455379500001"]},"isi":1,"volume":52,"ddc":["570"],"project":[{"_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"291734","name":"International IST Postdoc Fellowship Programme"}],"oa_version":"Published Version","article_number":"045002","month":"01","has_accepted_license":"1","publication":"Journal of Physics A: Mathematical and Theoretical","language":[{"iso":"eng"}],"oa":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2019-01-07T00:00:00Z","file":[{"checksum":"1112304ad363a6d8afaeccece36473cf","file_size":1804557,"date_created":"2019-04-19T12:18:57Z","content_type":"application/pdf","file_name":"2019_IOP_DeMartino.pdf","date_updated":"2020-07-14T12:47:17Z","relation":"main_file","access_level":"open_access","creator":"kschuh","file_id":"6344"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public"}]