--- _id: '150' abstract: - lang: eng text: A short, 14-amino-acid segment called SP1, located in the Gag structural protein1, has a critical role during the formation of the HIV-1 virus particle. During virus assembly, the SP1 peptide and seven preceding residues fold into a six-helix bundle, which holds together the Gag hexamer and facilitates the formation of a curved immature hexagonal lattice underneath the viral membrane2,3. Upon completion of assembly and budding, proteolytic cleavage of Gag leads to virus maturation, in which the immature lattice is broken down; the liberated CA domain of Gag then re-assembles into the mature conical capsid that encloses the viral genome and associated enzymes. Folding and proteolysis of the six-helix bundle are crucial rate-limiting steps of both Gag assembly and disassembly, and the six-helix bundle is an established target of HIV-1 inhibitors4,5. Here, using a combination of structural and functional analyses, we show that inositol hexakisphosphate (InsP6, also known as IP6) facilitates the formation of the six-helix bundle and assembly of the immature HIV-1 Gag lattice. IP6 makes ionic contacts with two rings of lysine residues at the centre of the Gag hexamer. Proteolytic cleavage then unmasks an alternative binding site, where IP6 interaction promotes the assembly of the mature capsid lattice. These studies identify IP6 as a naturally occurring small molecule that promotes both assembly and maturation of HIV-1. article_processing_charge: No article_type: original author: - first_name: Robert full_name: Dick, Robert last_name: Dick - first_name: Kaneil K full_name: Zadrozny, Kaneil K last_name: Zadrozny - first_name: Chaoyi full_name: Xu, Chaoyi last_name: Xu - first_name: Florian full_name: Schur, Florian id: 48AD8942-F248-11E8-B48F-1D18A9856A87 last_name: Schur orcid: 0000-0003-4790-8078 - first_name: Terri D full_name: Lyddon, Terri D last_name: Lyddon - first_name: Clifton L full_name: Ricana, Clifton L last_name: Ricana - first_name: Jonathan M full_name: Wagner, Jonathan M last_name: Wagner - first_name: Juan R full_name: Perilla, Juan R last_name: Perilla - first_name: Pornillos Barbie K full_name: Ganser, Pornillos Barbie K last_name: Ganser - first_name: Marc C full_name: Johnson, Marc C last_name: Johnson - first_name: Owen full_name: Pornillos, Owen last_name: Pornillos - first_name: Volker full_name: Vogt, Volker last_name: Vogt citation: ama: Dick R, Zadrozny KK, Xu C, et al. Inositol phosphates are assembly co-factors for HIV-1. Nature. 2018;560(7719):509–512. doi:10.1038/s41586-018-0396-4 apa: Dick, R., Zadrozny, K. K., Xu, C., Schur, F. K., Lyddon, T. D., Ricana, C. L., … Vogt, V. (2018). Inositol phosphates are assembly co-factors for HIV-1. Nature. Nature Publishing Group. https://doi.org/10.1038/s41586-018-0396-4 chicago: Dick, Robert, Kaneil K Zadrozny, Chaoyi Xu, Florian KM Schur, Terri D Lyddon, Clifton L Ricana, Jonathan M Wagner, et al. “Inositol Phosphates Are Assembly Co-Factors for HIV-1.” Nature. Nature Publishing Group, 2018. https://doi.org/10.1038/s41586-018-0396-4. ieee: R. Dick et al., “Inositol phosphates are assembly co-factors for HIV-1,” Nature, vol. 560, no. 7719. Nature Publishing Group, pp. 509–512, 2018. ista: Dick R, Zadrozny KK, Xu C, Schur FK, Lyddon TD, Ricana CL, Wagner JM, Perilla JR, Ganser PBK, Johnson MC, Pornillos O, Vogt V. 2018. Inositol phosphates are assembly co-factors for HIV-1. Nature. 560(7719), 509–512. mla: Dick, Robert, et al. “Inositol Phosphates Are Assembly Co-Factors for HIV-1.” Nature, vol. 560, no. 7719, Nature Publishing Group, 2018, pp. 509–512, doi:10.1038/s41586-018-0396-4. short: R. Dick, K.K. Zadrozny, C. Xu, F.K. Schur, T.D. Lyddon, C.L. Ricana, J.M. Wagner, J.R. Perilla, P.B.K. Ganser, M.C. Johnson, O. Pornillos, V. Vogt, Nature 560 (2018) 509–512. date_created: 2018-12-11T11:44:53Z date_published: 2018-08-29T00:00:00Z date_updated: 2023-09-12T07:44:37Z day: '29' department: - _id: FlSc doi: 10.1038/s41586-018-0396-4 external_id: isi: - '000442483400046' pmid: - '30158708' intvolume: ' 560' isi: 1 issue: '7719' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242333/ month: '08' oa: 1 oa_version: Submitted Version page: 509–512 pmid: 1 publication: Nature publication_identifier: eissn: - 1476-4687 publication_status: published publisher: Nature Publishing Group quality_controlled: '1' related_material: link: - relation: erratum url: https://doi.org/10.1038/s41586-018-0505-4 scopus_import: '1' status: public title: Inositol phosphates are assembly co-factors for HIV-1 type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 560 year: '2018' ... --- _id: '303' abstract: - lang: eng text: The theory of tropical series, that we develop here, firstly appeared in the study of the growth of pluriharmonic functions. Motivated by waves in sandpile models we introduce a dynamic on the set of tropical series, and it is experimentally observed that this dynamic obeys a power law. So, this paper serves as a compilation of results we need for other articles and also introduces several objects interesting by themselves. acknowledgement: The first author, Nikita Kalinin, is funded by SNCF PostDoc.Mobility grant 168647. Support from the Basic Research Program of the National Research University Higher School of Economics is gratefully acknowledged. The second author, Mikhail Shkolnikov, is supported in part by the grant 159240 of the Swiss National Science Foundation as well as by the National Center of Competence in Research SwissMAP of the Swiss National Science Foundation. article_processing_charge: No author: - first_name: Nikita full_name: Kalinin, Nikita last_name: Kalinin - first_name: Mikhail full_name: Shkolnikov, Mikhail id: 35084A62-F248-11E8-B48F-1D18A9856A87 last_name: Shkolnikov orcid: 0000-0002-4310-178X citation: ama: Kalinin N, Shkolnikov M. Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. 2018;38(6):2827-2849. doi:10.3934/dcds.2018120 apa: Kalinin, N., & Shkolnikov, M. (2018). Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. AIMS. https://doi.org/10.3934/dcds.2018120 chicago: Kalinin, Nikita, and Mikhail Shkolnikov. “Introduction to Tropical Series and Wave Dynamic on Them.” Discrete and Continuous Dynamical Systems- Series A. AIMS, 2018. https://doi.org/10.3934/dcds.2018120. ieee: N. Kalinin and M. Shkolnikov, “Introduction to tropical series and wave dynamic on them,” Discrete and Continuous Dynamical Systems- Series A, vol. 38, no. 6. AIMS, pp. 2827–2849, 2018. ista: Kalinin N, Shkolnikov M. 2018. Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. 38(6), 2827–2849. mla: Kalinin, Nikita, and Mikhail Shkolnikov. “Introduction to Tropical Series and Wave Dynamic on Them.” Discrete and Continuous Dynamical Systems- Series A, vol. 38, no. 6, AIMS, 2018, pp. 2827–49, doi:10.3934/dcds.2018120. short: N. Kalinin, M. Shkolnikov, Discrete and Continuous Dynamical Systems- Series A 38 (2018) 2827–2849. date_created: 2018-12-11T11:45:43Z date_published: 2018-06-01T00:00:00Z date_updated: 2023-09-12T07:45:37Z day: '01' department: - _id: TaHa doi: 10.3934/dcds.2018120 external_id: arxiv: - '1706.03062' isi: - '000438818400007' intvolume: ' 38' isi: 1 issue: '6' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1706.03062 month: '06' oa: 1 oa_version: Submitted Version page: 2827 - 2849 publication: Discrete and Continuous Dynamical Systems- Series A publication_status: published publisher: AIMS publist_id: '7576' quality_controlled: '1' scopus_import: '1' status: public title: Introduction to tropical series and wave dynamic on them type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 38 year: '2018' ... --- _id: '14202' abstract: - lang: eng text: "Approximating a probability density in a tractable manner is a central task\r\nin Bayesian statistics. Variational Inference (VI) is a popular technique that\r\nachieves tractability by choosing a relatively simple variational family.\r\nBorrowing ideas from the classic boosting framework, recent approaches attempt\r\nto \\emph{boost} VI by replacing the selection of a single density with a\r\ngreedily constructed mixture of densities. In order to guarantee convergence,\r\nprevious works impose stringent assumptions that require significant effort for\r\npractitioners. Specifically, they require a custom implementation of the greedy\r\nstep (called the LMO) for every probabilistic model with respect to an\r\nunnatural variational family of truncated distributions. Our work fixes these\r\nissues with novel theoretical and algorithmic insights. On the theoretical\r\nside, we show that boosting VI satisfies a relaxed smoothness assumption which\r\nis sufficient for the convergence of the functional Frank-Wolfe (FW) algorithm.\r\nFurthermore, we rephrase the LMO problem and propose to maximize the Residual\r\nELBO (RELBO) which replaces the standard ELBO optimization in VI. These\r\ntheoretical enhancements allow for black box implementation of the boosting\r\nsubroutine. Finally, we present a stopping criterion drawn from the duality gap\r\nin the classic FW analyses and exhaustive experiments to illustrate the\r\nusefulness of our theoretical and algorithmic contributions." article_processing_charge: No author: - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Gideon full_name: Dresdner, Gideon last_name: Dresdner - first_name: Rajiv full_name: Khanna, Rajiv last_name: Khanna - first_name: Isabel full_name: Valera, Isabel last_name: Valera - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch citation: ama: 'Locatello F, Dresdner G, Khanna R, Valera I, Rätsch G. Boosting black box variational inference. In: Advances in Neural Information Processing Systems. Vol 31. Neural Information Processing Systems Foundation; 2018.' apa: 'Locatello, F., Dresdner, G., Khanna, R., Valera, I., & Rätsch, G. (2018). Boosting black box variational inference. In Advances in Neural Information Processing Systems (Vol. 31). Montreal, Canada: Neural Information Processing Systems Foundation.' chicago: Locatello, Francesco, Gideon Dresdner, Rajiv Khanna, Isabel Valera, and Gunnar Rätsch. “Boosting Black Box Variational Inference.” In Advances in Neural Information Processing Systems, Vol. 31. Neural Information Processing Systems Foundation, 2018. ieee: F. Locatello, G. Dresdner, R. Khanna, I. Valera, and G. Rätsch, “Boosting black box variational inference,” in Advances in Neural Information Processing Systems, Montreal, Canada, 2018, vol. 31. ista: 'Locatello F, Dresdner G, Khanna R, Valera I, Rätsch G. 2018. Boosting black box variational inference. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 31.' mla: Locatello, Francesco, et al. “Boosting Black Box Variational Inference.” Advances in Neural Information Processing Systems, vol. 31, Neural Information Processing Systems Foundation, 2018. short: F. Locatello, G. Dresdner, R. Khanna, I. Valera, G. Rätsch, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2018. conference: end_date: 2018-12-08 location: Montreal, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2018-12-03 date_created: 2023-08-22T14:15:40Z date_published: 2018-06-06T00:00:00Z date_updated: 2023-09-13T07:38:24Z day: '06' department: - _id: FrLo extern: '1' external_id: arxiv: - '1806.02185' intvolume: ' 31' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1806.02185 month: '06' oa: 1 oa_version: Preprint publication: Advances in Neural Information Processing Systems publication_identifier: eissn: - 1049-5258 isbn: - '9781510884472' publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: Boosting black box variational inference type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 31 year: '2018' ... --- _id: '14201' abstract: - lang: eng text: "Variational inference is a popular technique to approximate a possibly\r\nintractable Bayesian posterior with a more tractable one. Recently, boosting\r\nvariational inference has been proposed as a new paradigm to approximate the\r\nposterior by a mixture of densities by greedily adding components to the\r\nmixture. However, as is the case with many other variational inference\r\nalgorithms, its theoretical properties have not been studied. In the present\r\nwork, we study the convergence properties of this approach from a modern\r\noptimization viewpoint by establishing connections to the classic Frank-Wolfe\r\nalgorithm. Our analyses yields novel theoretical insights regarding the\r\nsufficient conditions for convergence, explicit rates, and algorithmic\r\nsimplifications. Since a lot of focus in previous works for variational\r\ninference has been on tractability, our work is especially important as a much\r\nneeded attempt to bridge the gap between probabilistic models and their\r\ncorresponding theoretical properties." alternative_title: - PMLR article_processing_charge: No author: - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Rajiv full_name: Khanna, Rajiv last_name: Khanna - first_name: Joydeep full_name: Ghosh, Joydeep last_name: Ghosh - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch citation: ama: 'Locatello F, Khanna R, Ghosh J, Rätsch G. Boosting variational inference: An optimization perspective. In: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. Vol 84. ML Research Press; 2018:464-472.' apa: 'Locatello, F., Khanna, R., Ghosh, J., & Rätsch, G. (2018). Boosting variational inference: An optimization perspective. In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (Vol. 84, pp. 464–472). Playa Blanca, Lanzarote: ML Research Press.' chicago: 'Locatello, Francesco, Rajiv Khanna, Joydeep Ghosh, and Gunnar Rätsch. “Boosting Variational Inference: An Optimization Perspective.” In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, 84:464–72. ML Research Press, 2018.' ieee: 'F. Locatello, R. Khanna, J. Ghosh, and G. Rätsch, “Boosting variational inference: An optimization perspective,” in Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, 2018, vol. 84, pp. 464–472.' ista: 'Locatello F, Khanna R, Ghosh J, Rätsch G. 2018. Boosting variational inference: An optimization perspective. Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. AISTATS: Conference on Artificial Intelligence and Statistics, PMLR, vol. 84, 464–472.' mla: 'Locatello, Francesco, et al. “Boosting Variational Inference: An Optimization Perspective.” Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, vol. 84, ML Research Press, 2018, pp. 464–72.' short: F. Locatello, R. Khanna, J. Ghosh, G. Rätsch, in:, Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, ML Research Press, 2018, pp. 464–472. conference: end_date: 2018-04-11 location: Playa Blanca, Lanzarote name: 'AISTATS: Conference on Artificial Intelligence and Statistics' start_date: 2018-04-09 date_created: 2023-08-22T14:15:20Z date_published: 2018-04-15T00:00:00Z date_updated: 2023-09-13T07:52:40Z day: '15' department: - _id: FrLo extern: '1' external_id: arxiv: - '1708.01733' intvolume: ' 84' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1708.01733 month: '04' oa: 1 oa_version: Preprint page: 464-472 publication: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics publication_status: published publisher: ML Research Press quality_controlled: '1' scopus_import: '1' status: public title: 'Boosting variational inference: An optimization perspective' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 84 year: '2018' ... --- _id: '14198' abstract: - lang: eng text: "High-dimensional time series are common in many domains. Since human\r\ncognition is not optimized to work well in high-dimensional spaces, these areas\r\ncould benefit from interpretable low-dimensional representations. However, most\r\nrepresentation learning algorithms for time series data are difficult to\r\ninterpret. This is due to non-intuitive mappings from data features to salient\r\nproperties of the representation and non-smoothness over time. To address this\r\nproblem, we propose a new representation learning framework building on ideas\r\nfrom interpretable discrete dimensionality reduction and deep generative\r\nmodeling. This framework allows us to learn discrete representations of time\r\nseries, which give rise to smooth and interpretable embeddings with superior\r\nclustering performance. We introduce a new way to overcome the\r\nnon-differentiability in discrete representation learning and present a\r\ngradient-based version of the traditional self-organizing map algorithm that is\r\nmore performant than the original. Furthermore, to allow for a probabilistic\r\ninterpretation of our method, we integrate a Markov model in the representation\r\nspace. This model uncovers the temporal transition structure, improves\r\nclustering performance even further and provides additional explanatory\r\ninsights as well as a natural representation of uncertainty. We evaluate our\r\nmodel in terms of clustering performance and interpretability on static\r\n(Fashion-)MNIST data, a time series of linearly interpolated (Fashion-)MNIST\r\nimages, a chaotic Lorenz attractor system with two macro states, as well as on\r\na challenging real world medical time series application on the eICU data set.\r\nOur learned representations compare favorably with competitor methods and\r\nfacilitate downstream tasks on the real world data." article_processing_charge: No author: - first_name: Vincent full_name: Fortuin, Vincent last_name: Fortuin - first_name: Matthias full_name: Hüser, Matthias last_name: Hüser - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Heiko full_name: Strathmann, Heiko last_name: Strathmann - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch citation: ama: 'Fortuin V, Hüser M, Locatello F, Strathmann H, Rätsch G. SOM-VAE: Interpretable discrete representation learning on time series. In: International Conference on Learning Representations. ; 2018.' apa: 'Fortuin, V., Hüser, M., Locatello, F., Strathmann, H., & Rätsch, G. (2018). SOM-VAE: Interpretable discrete representation learning on time series. In International Conference on Learning Representations. New Orleans, LA, United States.' chicago: 'Fortuin, Vincent, Matthias Hüser, Francesco Locatello, Heiko Strathmann, and Gunnar Rätsch. “SOM-VAE: Interpretable Discrete Representation Learning on Time Series.” In International Conference on Learning Representations, 2018.' ieee: 'V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, and G. Rätsch, “SOM-VAE: Interpretable discrete representation learning on time series,” in International Conference on Learning Representations, New Orleans, LA, United States, 2018.' ista: 'Fortuin V, Hüser M, Locatello F, Strathmann H, Rätsch G. 2018. SOM-VAE: Interpretable discrete representation learning on time series. International Conference on Learning Representations. ICLR: International Conference on Learning Representations.' mla: 'Fortuin, Vincent, et al. “SOM-VAE: Interpretable Discrete Representation Learning on Time Series.” International Conference on Learning Representations, 2018.' short: V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, G. Rätsch, in:, International Conference on Learning Representations, 2018. conference: end_date: 2019-05-09 location: New Orleans, LA, United States name: 'ICLR: International Conference on Learning Representations' start_date: 2019-05-06 date_created: 2023-08-22T14:12:48Z date_published: 2018-06-06T00:00:00Z date_updated: 2023-09-13T06:35:12Z day: '06' department: - _id: FrLo extern: '1' external_id: arxiv: - '1806.02199' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1806.02199 month: '06' oa: 1 oa_version: Preprint publication: International Conference on Learning Representations publication_status: published quality_controlled: '1' status: public title: 'SOM-VAE: Interpretable discrete representation learning on time series' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2018' ... --- _id: '14203' abstract: - lang: eng text: We propose a conditional gradient framework for a composite convex minimization template with broad applications. Our approach combines smoothing and homotopy techniques under the CGM framework, and provably achieves the optimal O(1/k−−√) convergence rate. We demonstrate that the same rate holds if the linear subproblems are solved approximately with additive or multiplicative error. In contrast with the relevant work, we are able to characterize the convergence when the non-smooth term is an indicator function. Specific applications of our framework include the non-smooth minimization, semidefinite programming, and minimization with linear inclusion constraints over a compact domain. Numerical evidence demonstrates the benefits of our framework. alternative_title: - PMLR article_processing_charge: No author: - first_name: Alp full_name: Yurtsever, Alp last_name: Yurtsever - first_name: Olivier full_name: Fercoq, Olivier last_name: Fercoq - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Volkan full_name: Cevher, Volkan last_name: Cevher citation: ama: 'Yurtsever A, Fercoq O, Locatello F, Cevher V. A conditional gradient framework for composite convex minimization with applications to semidefinite programming. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:5727-5736.' apa: 'Yurtsever, A., Fercoq, O., Locatello, F., & Cevher, V. (2018). A conditional gradient framework for composite convex minimization with applications to semidefinite programming. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 5727–5736). Stockholm, Sweden: ML Research Press.' chicago: Yurtsever, Alp, Olivier Fercoq, Francesco Locatello, and Volkan Cevher. “A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming.” In Proceedings of the 35th International Conference on Machine Learning, 80:5727–36. ML Research Press, 2018. ieee: A. Yurtsever, O. Fercoq, F. Locatello, and V. Cevher, “A conditional gradient framework for composite convex minimization with applications to semidefinite programming,” in Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, 2018, vol. 80, pp. 5727–5736. ista: 'Yurtsever A, Fercoq O, Locatello F, Cevher V. 2018. A conditional gradient framework for composite convex minimization with applications to semidefinite programming. Proceedings of the 35th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 80, 5727–5736.' mla: Yurtsever, Alp, et al. “A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, ML Research Press, 2018, pp. 5727–36. short: A. Yurtsever, O. Fercoq, F. Locatello, V. Cevher, in:, Proceedings of the 35th International Conference on Machine Learning, ML Research Press, 2018, pp. 5727–5736. conference: end_date: 2018-07-15 location: Stockholm, Sweden name: 'ICML: International Conference on Machine Learning' start_date: 2018-07-10 date_created: 2023-08-22T14:16:01Z date_published: 2018-07-15T00:00:00Z date_updated: 2023-09-13T08:13:39Z day: '15' department: - _id: FrLo extern: '1' external_id: arxiv: - '1804.08544' intvolume: ' 80' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1804.08544 month: '07' oa: 1 oa_version: Preprint page: 5727-5736 publication: Proceedings of the 35th International Conference on Machine Learning publication_status: published publisher: ML Research Press quality_controlled: '1' status: public title: A conditional gradient framework for composite convex minimization with applications to semidefinite programming type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 80 year: '2018' ... --- _id: '282' abstract: - lang: eng text: Adaptive introgression is common in nature and can be driven by selection acting on multiple, linked genes. We explore the effects of polygenic selection on introgression under the infinitesimal model with linkage. This model assumes that the introgressing block has an effectively infinite number of genes, each with an infinitesimal effect on the trait under selection. The block is assumed to introgress under directional selection within a native population that is genetically homogeneous. We use individual-based simulations and a branching process approximation to compute various statistics of the introgressing block, and explore how these depend on parameters such as the map length and initial trait value associated with the introgressing block, the genetic variability along the block, and the strength of selection. Our results show that the introgression dynamics of a block under infinitesimal selection is qualitatively different from the dynamics of neutral introgression. We also find that in the long run, surviving descendant blocks are likely to have intermediate lengths, and clarify how the length is shaped by the interplay between linkage and infinitesimal selection. Our results suggest that it may be difficult to distinguish introgression of single loci from that of genomic blocks with multiple, tightly linked and weakly selected loci. article_processing_charge: No author: - first_name: Himani full_name: Sachdeva, Himani id: 42377A0A-F248-11E8-B48F-1D18A9856A87 last_name: Sachdeva - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Sachdeva H, Barton NH. Introgression of a block of genome under infinitesimal selection. Genetics. 2018;209(4):1279-1303. doi:10.1534/genetics.118.301018 apa: Sachdeva, H., & Barton, N. H. (2018). Introgression of a block of genome under infinitesimal selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.301018 chicago: Sachdeva, Himani, and Nicholas H Barton. “Introgression of a Block of Genome under Infinitesimal Selection.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.301018. ieee: H. Sachdeva and N. H. Barton, “Introgression of a block of genome under infinitesimal selection,” Genetics, vol. 209, no. 4. Genetics Society of America, pp. 1279–1303, 2018. ista: Sachdeva H, Barton NH. 2018. Introgression of a block of genome under infinitesimal selection. Genetics. 209(4), 1279–1303. mla: Sachdeva, Himani, and Nicholas H. Barton. “Introgression of a Block of Genome under Infinitesimal Selection.” Genetics, vol. 209, no. 4, Genetics Society of America, 2018, pp. 1279–303, doi:10.1534/genetics.118.301018. short: H. Sachdeva, N.H. Barton, Genetics 209 (2018) 1279–1303. date_created: 2018-12-11T11:45:36Z date_published: 2018-08-01T00:00:00Z date_updated: 2023-09-13T08:22:32Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.118.301018 external_id: isi: - '000440014100020' intvolume: ' 209' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/content/early/2017/11/30/227082 month: '08' oa: 1 oa_version: Submitted Version page: 1279 - 1303 publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '7617' quality_controlled: '1' scopus_import: '1' status: public title: Introgression of a block of genome under infinitesimal selection type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 209 year: '2018' ... --- _id: '108' abstract: - lang: eng text: Universal hashing found a lot of applications in computer science. In cryptography the most important fact about universal families is the so called Leftover Hash Lemma, proved by Impagliazzo, Levin and Luby. In the language of modern cryptography it states that almost universal families are good extractors. In this work we provide a somewhat surprising characterization in the opposite direction. Namely, every extractor with sufficiently good parameters yields a universal family on a noticeable fraction of its inputs. Our proof technique is based on tools from extremal graph theory applied to the \'collision graph\' induced by the extractor, and may be of independent interest. We discuss possible applications to the theory of randomness extractors and non-malleable codes. alternative_title: - ISIT Proceedings article_processing_charge: No author: - first_name: Marciej full_name: Obremski, Marciej last_name: Obremski - first_name: Maciej full_name: Skorski, Maciej id: EC09FA6A-02D0-11E9-8223-86B7C91467DD last_name: Skorski citation: ama: 'Obremski M, Skórski M. Inverted leftover hash lemma. In: Vol 2018. IEEE; 2018. doi:10.1109/ISIT.2018.8437654' apa: 'Obremski, M., & Skórski, M. (2018). Inverted leftover hash lemma (Vol. 2018). Presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA: IEEE. https://doi.org/10.1109/ISIT.2018.8437654' chicago: Obremski, Marciej, and Maciej Skórski. “Inverted Leftover Hash Lemma,” Vol. 2018. IEEE, 2018. https://doi.org/10.1109/ISIT.2018.8437654. ieee: 'M. Obremski and M. Skórski, “Inverted leftover hash lemma,” presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA, 2018, vol. 2018.' ista: 'Obremski M, Skórski M. 2018. Inverted leftover hash lemma. ISIT: International Symposium on Information Theory, ISIT Proceedings, vol. 2018.' mla: Obremski, Marciej, and Maciej Skórski. Inverted Leftover Hash Lemma. Vol. 2018, IEEE, 2018, doi:10.1109/ISIT.2018.8437654. short: M. Obremski, M. Skórski, in:, IEEE, 2018. conference: end_date: 2018-06-22 location: Vail, CO, USA name: 'ISIT: International Symposium on Information Theory' start_date: '2018-06-17 ' date_created: 2018-12-11T11:44:40Z date_published: 2018-08-16T00:00:00Z date_updated: 2023-09-13T08:23:18Z day: '16' department: - _id: KrPi doi: 10.1109/ISIT.2018.8437654 external_id: isi: - '000448139300368' intvolume: ' 2018' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://eprint.iacr.org/2017/507 month: '08' oa: 1 oa_version: Submitted Version publication_status: published publisher: IEEE publist_id: '7946' quality_controlled: '1' scopus_import: '1' status: public title: Inverted leftover hash lemma type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 2018 year: '2018' ... --- _id: '14204' abstract: - lang: eng text: Two popular examples of first-order optimization methods over linear spaces are coordinate descent and matching pursuit algorithms, with their randomized variants. While the former targets the optimization by moving along coordinates, the latter considers a generalized notion of directions. Exploiting the connection between the two algorithms, we present a unified analysis of both, providing affine invariant sublinear O(1/t) rates on smooth objectives and linear convergence on strongly convex objectives. As a byproduct of our affine invariant analysis of matching pursuit, our rates for steepest coordinate descent are the tightest known. Furthermore, we show the first accelerated convergence rate O(1/t2) for matching pursuit and steepest coordinate descent on convex objectives. alternative_title: - PMLR article_processing_charge: No author: - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Anant full_name: Raj, Anant last_name: Raj - first_name: Sai Praneeth full_name: Karimireddy, Sai Praneeth last_name: Karimireddy - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch - first_name: Bernhard full_name: Schölkopf, Bernhard last_name: Schölkopf - first_name: Sebastian U. full_name: Stich, Sebastian U. last_name: Stich - first_name: Martin full_name: Jaggi, Martin last_name: Jaggi citation: ama: 'Locatello F, Raj A, Karimireddy SP, et al. On matching pursuit and coordinate descent. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:3198-3207.' apa: Locatello, F., Raj, A., Karimireddy, S. P., Rätsch, G., Schölkopf, B., Stich, S. U., & Jaggi, M. (2018). On matching pursuit and coordinate descent. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 3198–3207). ML Research Press. chicago: Locatello, Francesco, Anant Raj, Sai Praneeth Karimireddy, Gunnar Rätsch, Bernhard Schölkopf, Sebastian U. Stich, and Martin Jaggi. “On Matching Pursuit and Coordinate Descent.” In Proceedings of the 35th International Conference on Machine Learning, 80:3198–3207. ML Research Press, 2018. ieee: F. Locatello et al., “On matching pursuit and coordinate descent,” in Proceedings of the 35th International Conference on Machine Learning, 2018, vol. 80, pp. 3198–3207. ista: Locatello F, Raj A, Karimireddy SP, Rätsch G, Schölkopf B, Stich SU, Jaggi M. 2018. On matching pursuit and coordinate descent. Proceedings of the 35th International Conference on Machine Learning. , PMLR, vol. 80, 3198–3207. mla: Locatello, Francesco, et al. “On Matching Pursuit and Coordinate Descent.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, ML Research Press, 2018, pp. 3198–207. short: F. Locatello, A. Raj, S.P. Karimireddy, G. Rätsch, B. Schölkopf, S.U. Stich, M. Jaggi, in:, Proceedings of the 35th International Conference on Machine Learning, ML Research Press, 2018, pp. 3198–3207. date_created: 2023-08-22T14:16:25Z date_published: 2018-07-01T00:00:00Z date_updated: 2023-09-13T08:19:05Z day: '01' department: - _id: FrLo extern: '1' external_id: arxiv: - '1803.09539' intvolume: ' 80' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1803.09539 month: '07' oa: 1 oa_version: Preprint page: 3198-3207 publication: Proceedings of the 35th International Conference on Machine Learning publication_status: published publisher: ML Research Press quality_controlled: '1' scopus_import: '1' status: public title: On matching pursuit and coordinate descent type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 80 year: '2018' ... --- _id: '160' abstract: - lang: eng text: We present layered concurrent programs, a compact and expressive notation for specifying refinement proofs of concurrent programs. A layered concurrent program specifies a sequence of connected concurrent programs, from most concrete to most abstract, such that common parts of different programs are written exactly once. These programs are expressed in the ordinary syntax of imperative concurrent programs using gated atomic actions, sequencing, choice, and (recursive) procedure calls. Each concurrent program is automatically extracted from the layered program. We reduce refinement to the safety of a sequence of concurrent checker programs, one each to justify the connection between every two consecutive concurrent programs. These checker programs are also automatically extracted from the layered program. Layered concurrent programs have been implemented in the CIVL verifier which has been successfully used for the verification of several complex concurrent programs. alternative_title: - LNCS article_processing_charge: No author: - first_name: Bernhard full_name: Kragl, Bernhard id: 320FC952-F248-11E8-B48F-1D18A9856A87 last_name: Kragl orcid: 0000-0001-7745-9117 - first_name: Shaz full_name: Qadeer, Shaz last_name: Qadeer citation: ama: 'Kragl B, Qadeer S. Layered Concurrent Programs. In: Vol 10981. Springer; 2018:79-102. doi:10.1007/978-3-319-96145-3_5' apa: 'Kragl, B., & Qadeer, S. (2018). Layered Concurrent Programs (Vol. 10981, pp. 79–102). Presented at the CAV: Computer Aided Verification, Oxford, UK: Springer. https://doi.org/10.1007/978-3-319-96145-3_5' chicago: Kragl, Bernhard, and Shaz Qadeer. “Layered Concurrent Programs,” 10981:79–102. Springer, 2018. https://doi.org/10.1007/978-3-319-96145-3_5. ieee: 'B. Kragl and S. Qadeer, “Layered Concurrent Programs,” presented at the CAV: Computer Aided Verification, Oxford, UK, 2018, vol. 10981, pp. 79–102.' ista: 'Kragl B, Qadeer S. 2018. Layered Concurrent Programs. CAV: Computer Aided Verification, LNCS, vol. 10981, 79–102.' mla: Kragl, Bernhard, and Shaz Qadeer. Layered Concurrent Programs. Vol. 10981, Springer, 2018, pp. 79–102, doi:10.1007/978-3-319-96145-3_5. short: B. Kragl, S. Qadeer, in:, Springer, 2018, pp. 79–102. conference: end_date: 2018-07-17 location: Oxford, UK name: 'CAV: Computer Aided Verification' start_date: 2018-07-14 date_created: 2018-12-11T11:44:57Z date_published: 2018-07-18T00:00:00Z date_updated: 2023-09-13T08:45:09Z day: '18' ddc: - '000' department: - _id: ToHe doi: 10.1007/978-3-319-96145-3_5 external_id: isi: - '000491481600005' file: - access_level: open_access checksum: c64fff560fe5a7532ec10626ad1c215e content_type: application/pdf creator: dernst date_created: 2018-12-17T12:52:12Z date_updated: 2020-07-14T12:45:04Z file_id: '5705' file_name: 2018_LNCS_Kragl.pdf file_size: 1603844 relation: main_file file_date_updated: 2020-07-14T12:45:04Z has_accepted_license: '1' intvolume: ' 10981' isi: 1 language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 79 - 102 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering publication_status: published publisher: Springer publist_id: '7761' quality_controlled: '1' related_material: record: - id: '8332' relation: dissertation_contains status: public scopus_import: '1' status: public title: Layered Concurrent Programs 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: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 10981 year: '2018' ... --- _id: '280' abstract: - lang: eng text: Flowers have a species-specific functional life span that determines the time window in which pollination, fertilization and seed set can occur. The stigma tissue plays a key role in flower receptivity by intercepting pollen and initiating pollen tube growth toward the ovary. In this article, we show that a developmentally controlled cell death programme terminates the functional life span of stigma cells in Arabidopsis. We identified the leaf senescence regulator ORESARA1 (also known as ANAC092) and the previously uncharacterized KIRA1 (also known as ANAC074) as partially redundant transcription factors that modulate stigma longevity by controlling the expression of programmed cell death-associated genes. KIRA1 expression is sufficient to induce cell death and terminate floral receptivity, whereas lack of both KIRA1 and ORESARA1 substantially increases stigma life span. Surprisingly, the extension of stigma longevity is accompanied by only a moderate extension of flower receptivity, suggesting that additional processes participate in the control of the flower's receptive life span. acknowledgement: We gratefully acknowledge funding from the Chinese Scholarship Council (CSC; project number 201206910025 to Z.G.), the Fonds Wetenschappelijk Onderzoek (FWO; project number G005112N to A.D.; fellowship number 12I7417N to Z.L.), the Belgian Federal Science Policy Office (BELSPO; to Y.S.), the Agency for Innovation by Science and Technology of Belgium (IWT; fellowship number 121110 to M.V.D.), the Hercules foundation (grant AUGE-09-029 to K.D.), and the ERC StG PROCELLDEATH (project number 639234 to M.K.N.). article_processing_charge: No author: - first_name: Zhen full_name: Gao, Zhen last_name: Gao - first_name: Anna full_name: Daneva, Anna last_name: Daneva - first_name: Yuliya full_name: Salanenka, Yuliya id: 46DAAE7E-F248-11E8-B48F-1D18A9856A87 last_name: Salanenka - first_name: Matthias full_name: Van Durme, Matthias last_name: Van Durme - first_name: Marlies full_name: Huysmans, Marlies last_name: Huysmans - first_name: Zongcheng full_name: Lin, Zongcheng last_name: Lin - first_name: Freya full_name: De Winter, Freya last_name: De Winter - first_name: Steffen full_name: Vanneste, Steffen last_name: Vanneste - first_name: Mansour full_name: Karimi, Mansour last_name: Karimi - first_name: Jan full_name: Van De Velde, Jan last_name: Van De Velde - first_name: Klaas full_name: Vandepoele, Klaas last_name: Vandepoele - first_name: Davy full_name: Van De Walle, Davy last_name: Van De Walle - first_name: Koen full_name: Dewettinck, Koen last_name: Dewettinck - first_name: Bart full_name: Lambrecht, Bart last_name: Lambrecht - first_name: Moritz full_name: Nowack, Moritz last_name: Nowack citation: ama: Gao Z, Daneva A, Salanenka Y, et al. KIRA1 and ORESARA1 terminate flower receptivity by promoting cell death in the stigma of Arabidopsis. Nature Plants. 2018;4(6):365-375. doi:10.1038/s41477-018-0160-7 apa: Gao, Z., Daneva, A., Salanenka, Y., Van Durme, M., Huysmans, M., Lin, Z., … Nowack, M. (2018). KIRA1 and ORESARA1 terminate flower receptivity by promoting cell death in the stigma of Arabidopsis. Nature Plants. Nature Publishing Group. https://doi.org/10.1038/s41477-018-0160-7 chicago: Gao, Zhen, Anna Daneva, Yuliya Salanenka, Matthias Van Durme, Marlies Huysmans, Zongcheng Lin, Freya De Winter, et al. “KIRA1 and ORESARA1 Terminate Flower Receptivity by Promoting Cell Death in the Stigma of Arabidopsis.” Nature Plants. Nature Publishing Group, 2018. https://doi.org/10.1038/s41477-018-0160-7. ieee: Z. Gao et al., “KIRA1 and ORESARA1 terminate flower receptivity by promoting cell death in the stigma of Arabidopsis,” Nature Plants, vol. 4, no. 6. Nature Publishing Group, pp. 365–375, 2018. ista: Gao Z, Daneva A, Salanenka Y, Van Durme M, Huysmans M, Lin Z, De Winter F, Vanneste S, Karimi M, Van De Velde J, Vandepoele K, Van De Walle D, Dewettinck K, Lambrecht B, Nowack M. 2018. KIRA1 and ORESARA1 terminate flower receptivity by promoting cell death in the stigma of Arabidopsis. Nature Plants. 4(6), 365–375. mla: Gao, Zhen, et al. “KIRA1 and ORESARA1 Terminate Flower Receptivity by Promoting Cell Death in the Stigma of Arabidopsis.” Nature Plants, vol. 4, no. 6, Nature Publishing Group, 2018, pp. 365–75, doi:10.1038/s41477-018-0160-7. short: Z. Gao, A. Daneva, Y. Salanenka, M. Van Durme, M. Huysmans, Z. Lin, F. De Winter, S. Vanneste, M. Karimi, J. Van De Velde, K. Vandepoele, D. Van De Walle, K. Dewettinck, B. Lambrecht, M. Nowack, Nature Plants 4 (2018) 365–375. date_created: 2018-12-11T11:45:35Z date_published: 2018-05-28T00:00:00Z date_updated: 2023-09-13T08:24:17Z day: '28' department: - _id: JiFr doi: 10.1038/s41477-018-0160-7 external_id: isi: - '000435571000017' intvolume: ' 4' isi: 1 issue: '6' language: - iso: eng month: '05' oa_version: None page: 365 - 375 publication: Nature Plants publication_status: published publisher: Nature Publishing Group publist_id: '7619' quality_controlled: '1' scopus_import: '1' status: public title: KIRA1 and ORESARA1 terminate flower receptivity by promoting cell death in the stigma of Arabidopsis type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 4 year: '2018' ... --- _id: '503' abstract: - lang: eng text: Buffers are essential for diluting bacterial cultures for flow cytometry analysis in order to study bacterial physiology and gene expression parameters based on fluorescence signals. Using a variety of constitutively expressed fluorescent proteins in Escherichia coli K-12 strain MG1655, we found strong artifactual changes in fluorescence levels after dilution into the commonly used flow cytometry buffer phosphate-buffered saline (PBS) and two other buffer solutions, Tris-HCl and M9 salts. These changes appeared very rapidly after dilution, and were linked to increased membrane permeability and loss in cell viability. We observed buffer-related effects in several different E. coli strains, K-12, C and W, but not E. coli B, which can be partially explained by differences in lipopolysaccharide (LPS) and outer membrane composition. Supplementing the buffers with divalent cations responsible for outer membrane stability, Mg2+ and Ca2+, preserved fluorescence signals, membrane integrity and viability of E. coli. Thus, stabilizing the bacterial outer membrane is essential for precise and unbiased measurements of fluorescence parameters using flow cytometry. acknowledged_ssus: - _id: Bio acknowledgement: "We thank R Chait and M Lagator for sharing Bacillus subtilis CR_Y1 and pZS*_2R-cIPtet-Venus-Prm, respectively. We are grateful to T Pilizota and all members of the Guet lab for critically reading the manuscript. We also thank the Bioimaging facility at IST Austria for assistance using the FACSAria III system.\r\n\r\n" article_processing_charge: No author: - first_name: Kathrin full_name: Tomasek, Kathrin id: 3AEC8556-F248-11E8-B48F-1D18A9856A87 last_name: Tomasek orcid: 0000-0003-3768-877X - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 citation: ama: Tomasek K, Bergmiller T, Guet CC. Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains. Journal of Biotechnology. 2018;268:40-52. doi:10.1016/j.jbiotec.2018.01.008 apa: Tomasek, K., Bergmiller, T., & Guet, C. C. (2018). Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains. Journal of Biotechnology. Elsevier. https://doi.org/10.1016/j.jbiotec.2018.01.008 chicago: Tomasek, Kathrin, Tobias Bergmiller, and Calin C Guet. “Lack of Cations in Flow Cytometry Buffers Affect Fluorescence Signals by Reducing Membrane Stability and Viability of Escherichia Coli Strains.” Journal of Biotechnology. Elsevier, 2018. https://doi.org/10.1016/j.jbiotec.2018.01.008. ieee: K. Tomasek, T. Bergmiller, and C. C. Guet, “Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains,” Journal of Biotechnology, vol. 268. Elsevier, pp. 40–52, 2018. ista: Tomasek K, Bergmiller T, Guet CC. 2018. Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains. Journal of Biotechnology. 268, 40–52. mla: Tomasek, Kathrin, et al. “Lack of Cations in Flow Cytometry Buffers Affect Fluorescence Signals by Reducing Membrane Stability and Viability of Escherichia Coli Strains.” Journal of Biotechnology, vol. 268, Elsevier, 2018, pp. 40–52, doi:10.1016/j.jbiotec.2018.01.008. short: K. Tomasek, T. Bergmiller, C.C. Guet, Journal of Biotechnology 268 (2018) 40–52. date_created: 2018-12-11T11:46:50Z date_published: 2018-02-20T00:00:00Z date_updated: 2023-09-13T08:24:51Z day: '20' department: - _id: CaGu doi: 10.1016/j.jbiotec.2018.01.008 external_id: isi: - '000425715100006' intvolume: ' 268' isi: 1 language: - iso: eng month: '02' oa_version: None page: 40 - 52 publication: Journal of Biotechnology publication_status: published publisher: Elsevier publist_id: '7317' quality_controlled: '1' scopus_import: '1' status: public title: Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 268 year: '2018' ... --- _id: '82' abstract: - lang: eng text: In experimental cultures, when bacteria are mixed with lytic (virulent) bacteriophage, bacterial cells resistant to the phage commonly emerge and become the dominant population of bacteria. Following the ascent of resistant mutants, the densities of bacteria in these simple communities become limited by resources rather than the phage. Despite the evolution of resistant hosts, upon which the phage cannot replicate, the lytic phage population is most commonly maintained in an apparently stable state with the resistant bacteria. Several mechanisms have been put forward to account for this result. Here we report the results of population dynamic/evolution experiments with a virulent mutant of phage Lambda, λVIR, and Escherichia coli in serial transfer cultures. We show that, following the ascent of λVIR-resistant bacteria, λVIRis maintained in the majority of cases in maltose-limited minimal media and in all cases in nutrient-rich broth. Using mathematical models and experiments, we show that the dominant mechanism responsible for maintenance of λVIRin these resource-limited populations dominated by resistant E. coli is a high rate of either phenotypic or genetic transition from resistance to susceptibility—a hitherto undemonstrated mechanism we term "leaky resistance." We discuss the implications of leaky resistance to our understanding of the conditions for the maintenance of phage in populations of bacteria—their “existence conditions.”. article_number: '2005971' article_processing_charge: Yes author: - first_name: Waqas full_name: Chaudhry, Waqas last_name: Chaudhry - first_name: Maros full_name: Pleska, Maros id: 4569785E-F248-11E8-B48F-1D18A9856A87 last_name: Pleska orcid: 0000-0001-7460-7479 - first_name: Nilang full_name: Shah, Nilang last_name: Shah - first_name: Howard full_name: Weiss, Howard last_name: Weiss - first_name: Ingrid full_name: Mccall, Ingrid last_name: Mccall - first_name: Justin full_name: Meyer, Justin last_name: Meyer - first_name: Animesh full_name: Gupta, Animesh last_name: Gupta - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - first_name: Bruce full_name: Levin, Bruce last_name: Levin citation: ama: Chaudhry W, Pleska M, Shah N, et al. Leaky resistance and the conditions for the existence of lytic bacteriophage. PLoS Biology. 2018;16(8). doi:10.1371/journal.pbio.2005971 apa: Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J., … Levin, B. (2018). Leaky resistance and the conditions for the existence of lytic bacteriophage. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2005971 chicago: Chaudhry, Waqas, Maros Pleska, Nilang Shah, Howard Weiss, Ingrid Mccall, Justin Meyer, Animesh Gupta, Calin C Guet, and Bruce Levin. “Leaky Resistance and the Conditions for the Existence of Lytic Bacteriophage.” PLoS Biology. Public Library of Science, 2018. https://doi.org/10.1371/journal.pbio.2005971. ieee: W. Chaudhry et al., “Leaky resistance and the conditions for the existence of lytic bacteriophage,” PLoS Biology, vol. 16, no. 8. Public Library of Science, 2018. ista: Chaudhry W, Pleska M, Shah N, Weiss H, Mccall I, Meyer J, Gupta A, Guet CC, Levin B. 2018. Leaky resistance and the conditions for the existence of lytic bacteriophage. PLoS Biology. 16(8), 2005971. mla: Chaudhry, Waqas, et al. “Leaky Resistance and the Conditions for the Existence of Lytic Bacteriophage.” PLoS Biology, vol. 16, no. 8, 2005971, Public Library of Science, 2018, doi:10.1371/journal.pbio.2005971. short: W. Chaudhry, M. Pleska, N. Shah, H. Weiss, I. Mccall, J. Meyer, A. Gupta, C.C. Guet, B. Levin, PLoS Biology 16 (2018). date_created: 2018-12-11T11:44:32Z date_published: 2018-08-16T00:00:00Z date_updated: 2023-09-13T08:45:41Z day: '16' ddc: - '570' department: - _id: CaGu doi: 10.1371/journal.pbio.2005971 external_id: isi: - '000443383300024' file: - access_level: open_access checksum: 527076f78265cd4ea192cd1569851587 content_type: application/pdf creator: dernst date_created: 2018-12-17T12:55:31Z date_updated: 2020-07-14T12:48:10Z file_id: '5706' file_name: 2018_Plos_Chaudhry.pdf file_size: 4007095 relation: main_file file_date_updated: 2020-07-14T12:48:10Z has_accepted_license: '1' intvolume: ' 16' isi: 1 issue: '8' language: - iso: eng month: '08' oa: 1 oa_version: Published Version publication: PLoS Biology publication_status: published publisher: Public Library of Science publist_id: '7972' quality_controlled: '1' related_material: record: - id: '9810' relation: research_data status: public scopus_import: '1' status: public title: Leaky resistance and the conditions for the existence of lytic bacteriophage 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: 16 year: '2018' ... --- _id: '4' abstract: - lang: eng text: We present a data-driven technique to instantly predict how fluid flows around various three-dimensional objects. Such simulation is useful for computational fabrication and engineering, but is usually computationally expensive since it requires solving the Navier-Stokes equation for many time steps. To accelerate the process, we propose a machine learning framework which predicts aerodynamic forces and velocity and pressure fields given a threedimensional shape input. Handling detailed free-form three-dimensional shapes in a data-driven framework is challenging because machine learning approaches usually require a consistent parametrization of input and output. We present a novel PolyCube maps-based parametrization that can be computed for three-dimensional shapes at interactive rates. This allows us to efficiently learn the nonlinear response of the flow using a Gaussian process regression. We demonstrate the effectiveness of our approach for the interactive design and optimization of a car body. article_number: '89' article_processing_charge: No author: - first_name: Nobuyuki full_name: Umetani, Nobuyuki last_name: Umetani - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 citation: ama: Umetani N, Bickel B. Learning three-dimensional flow for interactive aerodynamic design. ACM Trans Graph. 2018;37(4). doi:10.1145/3197517.3201325 apa: Umetani, N., & Bickel, B. (2018). Learning three-dimensional flow for interactive aerodynamic design. ACM Trans. Graph. ACM. https://doi.org/10.1145/3197517.3201325 chicago: Umetani, Nobuyuki, and Bernd Bickel. “Learning Three-Dimensional Flow for Interactive Aerodynamic Design.” ACM Trans. Graph. ACM, 2018. https://doi.org/10.1145/3197517.3201325. ieee: N. Umetani and B. Bickel, “Learning three-dimensional flow for interactive aerodynamic design,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018. ista: Umetani N, Bickel B. 2018. Learning three-dimensional flow for interactive aerodynamic design. ACM Trans. Graph. 37(4), 89. mla: Umetani, Nobuyuki, and Bernd Bickel. “Learning Three-Dimensional Flow for Interactive Aerodynamic Design.” ACM Trans. Graph., vol. 37, no. 4, 89, ACM, 2018, doi:10.1145/3197517.3201325. short: N. Umetani, B. Bickel, ACM Trans. Graph. 37 (2018). date_created: 2018-12-11T11:44:06Z date_published: 2018-08-04T00:00:00Z date_updated: 2023-09-13T08:46:15Z day: '04' ddc: - '003' - '004' department: - _id: BeBi doi: 10.1145/3197517.3201325 ec_funded: 1 external_id: isi: - '000448185000050' file: - access_level: open_access checksum: 7a2243668f215821bc6aecad0320079a content_type: application/pdf creator: system date_created: 2018-12-12T10:16:28Z date_updated: 2020-07-14T12:46:22Z file_id: '5216' file_name: IST-2018-1049-v1+1_2018_sigg_Learning3DAerodynamics.pdf file_size: 22803163 relation: main_file file_date_updated: 2020-07-14T12:46:22Z has_accepted_license: '1' intvolume: ' 37' isi: 1 issue: '4' language: - iso: eng month: '08' oa: 1 oa_version: Submitted Version project: - _id: 24F9549A-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715767' name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling' publication: ACM Trans. Graph. publication_status: published publisher: ACM publist_id: '8053' pubrep_id: '1049' quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/new-interactive-machine-learning-tool-makes-car-designs-more-aerodynamic/ scopus_import: '1' status: public title: Learning three-dimensional flow for interactive aerodynamic design type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 37 year: '2018' ... --- _id: '183' abstract: - lang: eng text: 'Fault-localization is considered to be a very tedious and time-consuming activity in the design of complex Cyber-Physical Systems (CPS). This laborious task essentially requires expert knowledge of the system in order to discover the cause of the fault. In this context, we propose a new procedure that AIDS designers in debugging Simulink/Stateflow hybrid system models, guided by Signal Temporal Logic (STL) specifications. The proposed method relies on three main ingredients: (1) a monitoring and a trace diagnostics procedure that checks whether a tested behavior satisfies or violates an STL specification, localizes time segments and interfaces variables contributing to the property violations; (2) a slicing procedure that maps these observable behavior segments to the internal states and transitions of the Simulink model; and (3) a spectrum-based fault-localization method that combines the previous analysis from multiple tests to identify the internal states and/or transitions that are the most likely to explain the fault. We demonstrate the applicability of our approach on two Simulink models from the automotive and the avionics domain.' acknowledgement: This work was partially supported by the Austrian Science Fund (FWF) under grants S11402-N23 and S11405-N23 (RiSE/SHiNE), the CPS/IoT project (HRSM), the EU ICT COST Action IC1402 on Run-time Verification beyond Monitoring (ARVI), the AMASS project (ECSEL 692474), and the ENABLE-S3 project (ECSEL 692455). The CPS/IoT project receives support from the Austrian government through the Federal Ministry of Science, Research and Economy (BMWFW) in the funding program Hochschulraum-Strukturmittel (HRSM) 2016. The ECSEL Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and Austria, Denmark, Germany, Finland, Czech Republic, Italy, Spain, Portugal, Poland, Ireland, Belgium, France, Netherlands, United Kingdom, Slovakia, Norway. alternative_title: - HSCC Proceedings article_processing_charge: No author: - first_name: Ezio full_name: Bartocci, Ezio last_name: Bartocci - first_name: Thomas full_name: Ferrere, Thomas id: 40960E6E-F248-11E8-B48F-1D18A9856A87 last_name: Ferrere orcid: 0000-0001-5199-3143 - first_name: Niveditha full_name: Manjunath, Niveditha last_name: Manjunath - first_name: Dejan full_name: Nickovic, Dejan last_name: Nickovic citation: ama: 'Bartocci E, Ferrere T, Manjunath N, Nickovic D. Localizing faults in simulink/stateflow models with STL. In: Association for Computing Machinery, Inc; 2018:197-206. doi:10.1145/3178126.3178131' apa: 'Bartocci, E., Ferrere, T., Manjunath, N., & Nickovic, D. (2018). Localizing faults in simulink/stateflow models with STL (pp. 197–206). Presented at the HSCC: Hybrid Systems: Computation and Control, Porto, Portugal: Association for Computing Machinery, Inc. https://doi.org/10.1145/3178126.3178131' chicago: Bartocci, Ezio, Thomas Ferrere, Niveditha Manjunath, and Dejan Nickovic. “Localizing Faults in Simulink/Stateflow Models with STL,” 197–206. Association for Computing Machinery, Inc, 2018. https://doi.org/10.1145/3178126.3178131. ieee: 'E. Bartocci, T. Ferrere, N. Manjunath, and D. Nickovic, “Localizing faults in simulink/stateflow models with STL,” presented at the HSCC: Hybrid Systems: Computation and Control, Porto, Portugal, 2018, pp. 197–206.' ista: 'Bartocci E, Ferrere T, Manjunath N, Nickovic D. 2018. Localizing faults in simulink/stateflow models with STL. HSCC: Hybrid Systems: Computation and Control, HSCC Proceedings, , 197–206.' mla: Bartocci, Ezio, et al. Localizing Faults in Simulink/Stateflow Models with STL. Association for Computing Machinery, Inc, 2018, pp. 197–206, doi:10.1145/3178126.3178131. short: E. Bartocci, T. Ferrere, N. Manjunath, D. Nickovic, in:, Association for Computing Machinery, Inc, 2018, pp. 197–206. conference: end_date: 2018-04-13 location: Porto, Portugal name: 'HSCC: Hybrid Systems: Computation and Control' start_date: 2018-04-11 date_created: 2018-12-11T11:45:04Z date_published: 2018-04-11T00:00:00Z date_updated: 2023-09-13T08:48:46Z day: '11' department: - _id: ToHe doi: 10.1145/3178126.3178131 external_id: isi: - '000474781600022' isi: 1 language: - iso: eng month: '04' oa_version: None page: 197 - 206 project: - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering publication_status: published publisher: Association for Computing Machinery, Inc publist_id: '7738' quality_controlled: '1' scopus_import: '1' status: public title: Localizing faults in simulink/stateflow models with STL type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2018' ... --- _id: '566' abstract: - lang: eng text: "We consider large random matrices X with centered, independent entries which have comparable but not necessarily identical variances. Girko's circular law asserts that the spectrum is supported in a disk and in case of identical variances, the limiting density is uniform. In this special case, the local circular law by Bourgade et. al. [11,12] shows that the empirical density converges even locally on scales slightly above the typical eigenvalue spacing. In the general case, the limiting density is typically inhomogeneous and it is obtained via solving a system of deterministic equations. Our main result is the local inhomogeneous circular law in the bulk spectrum on the optimal scale for a general variance profile of the entries of X. \r\n\r\n" article_processing_charge: No article_type: original author: - first_name: Johannes full_name: Alt, Johannes id: 36D3D8B6-F248-11E8-B48F-1D18A9856A87 last_name: Alt - first_name: László full_name: Erdös, László id: 4DBD5372-F248-11E8-B48F-1D18A9856A87 last_name: Erdös orcid: 0000-0001-5366-9603 - first_name: Torben H full_name: Krüger, Torben H id: 3020C786-F248-11E8-B48F-1D18A9856A87 last_name: Krüger orcid: 0000-0002-4821-3297 citation: ama: Alt J, Erdös L, Krüger TH. Local inhomogeneous circular law. Annals Applied Probability . 2018;28(1):148-203. doi:10.1214/17-AAP1302 apa: Alt, J., Erdös, L., & Krüger, T. H. (2018). Local inhomogeneous circular law. Annals Applied Probability . Institute of Mathematical Statistics. https://doi.org/10.1214/17-AAP1302 chicago: Alt, Johannes, László Erdös, and Torben H Krüger. “Local Inhomogeneous Circular Law.” Annals Applied Probability . Institute of Mathematical Statistics, 2018. https://doi.org/10.1214/17-AAP1302. ieee: J. Alt, L. Erdös, and T. H. Krüger, “Local inhomogeneous circular law,” Annals Applied Probability , vol. 28, no. 1. Institute of Mathematical Statistics, pp. 148–203, 2018. ista: Alt J, Erdös L, Krüger TH. 2018. Local inhomogeneous circular law. Annals Applied Probability . 28(1), 148–203. mla: Alt, Johannes, et al. “Local Inhomogeneous Circular Law.” Annals Applied Probability , vol. 28, no. 1, Institute of Mathematical Statistics, 2018, pp. 148–203, doi:10.1214/17-AAP1302. short: J. Alt, L. Erdös, T.H. Krüger, Annals Applied Probability 28 (2018) 148–203. date_created: 2018-12-11T11:47:13Z date_published: 2018-03-03T00:00:00Z date_updated: 2023-09-13T08:47:52Z day: '03' department: - _id: LaEr doi: 10.1214/17-AAP1302 ec_funded: 1 external_id: arxiv: - '1612.07776 ' isi: - '000431721800005' intvolume: ' 28' isi: 1 issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: 'https://arxiv.org/abs/1612.07776 ' month: '03' oa: 1 oa_version: Preprint page: 148-203 project: - _id: 258DCDE6-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '338804' name: Random matrices, universality and disordered quantum systems publication: 'Annals Applied Probability ' publication_status: published publisher: Institute of Mathematical Statistics quality_controlled: '1' related_material: record: - id: '149' relation: dissertation_contains status: public scopus_import: '1' status: public title: Local inhomogeneous circular law type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 28 year: '2018' ... --- _id: '106' abstract: - lang: eng text: The goal of this article is to introduce the reader to the theory of intrinsic geometry of convex surfaces. We illustrate the power of the tools by proving a theorem on convex surfaces containing an arbitrarily long closed simple geodesic. Let us remind ourselves that a curve in a surface is called geodesic if every sufficiently short arc of the curve is length minimizing; if, in addition, it has no self-intersections, we call it simple geodesic. A tetrahedron with equal opposite edges is called isosceles. The axiomatic method of Alexandrov geometry allows us to work with the metrics of convex surfaces directly, without approximating it first by a smooth or polyhedral metric. Such approximations destroy the closed geodesics on the surface; therefore it is difficult (if at all possible) to apply approximations in the proof of our theorem. On the other hand, a proof in the smooth or polyhedral case usually admits a translation into Alexandrov’s language; such translation makes the result more general. In fact, our proof resembles a translation of the proof given by Protasov. Note that the main theorem implies in particular that a smooth convex surface does not have arbitrarily long simple closed geodesics. However we do not know a proof of this corollary that is essentially simpler than the one presented below. article_processing_charge: No author: - first_name: Arseniy full_name: Akopyan, Arseniy id: 430D2C90-F248-11E8-B48F-1D18A9856A87 last_name: Akopyan orcid: 0000-0002-2548-617X - first_name: Anton full_name: Petrunin, Anton last_name: Petrunin citation: ama: Akopyan A, Petrunin A. Long geodesics on convex surfaces. Mathematical Intelligencer. 2018;40(3):26-31. doi:10.1007/s00283-018-9795-5 apa: Akopyan, A., & Petrunin, A. (2018). Long geodesics on convex surfaces. Mathematical Intelligencer. Springer. https://doi.org/10.1007/s00283-018-9795-5 chicago: Akopyan, Arseniy, and Anton Petrunin. “Long Geodesics on Convex Surfaces.” Mathematical Intelligencer. Springer, 2018. https://doi.org/10.1007/s00283-018-9795-5. ieee: A. Akopyan and A. Petrunin, “Long geodesics on convex surfaces,” Mathematical Intelligencer, vol. 40, no. 3. Springer, pp. 26–31, 2018. ista: Akopyan A, Petrunin A. 2018. Long geodesics on convex surfaces. Mathematical Intelligencer. 40(3), 26–31. mla: Akopyan, Arseniy, and Anton Petrunin. “Long Geodesics on Convex Surfaces.” Mathematical Intelligencer, vol. 40, no. 3, Springer, 2018, pp. 26–31, doi:10.1007/s00283-018-9795-5. short: A. Akopyan, A. Petrunin, Mathematical Intelligencer 40 (2018) 26–31. date_created: 2018-12-11T11:44:40Z date_published: 2018-09-01T00:00:00Z date_updated: 2023-09-13T08:49:16Z day: '01' department: - _id: HeEd doi: 10.1007/s00283-018-9795-5 external_id: arxiv: - '1702.05172' isi: - '000444141200005' intvolume: ' 40' isi: 1 issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1702.05172 month: '09' oa: 1 oa_version: Preprint page: 26 - 31 publication: Mathematical Intelligencer publication_status: published publisher: Springer publist_id: '7948' quality_controlled: '1' scopus_import: '1' status: public title: Long geodesics on convex surfaces type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 40 year: '2018' ... --- _id: '9810' article_processing_charge: No author: - first_name: Waqas full_name: Chaudhry, Waqas last_name: Chaudhry - first_name: Maros full_name: Pleska, Maros id: 4569785E-F248-11E8-B48F-1D18A9856A87 last_name: Pleska orcid: 0000-0001-7460-7479 - first_name: Nilang full_name: Shah, Nilang last_name: Shah - first_name: Howard full_name: Weiss, Howard last_name: Weiss - first_name: Ingrid full_name: Mccall, Ingrid last_name: Mccall - first_name: Justin full_name: Meyer, Justin last_name: Meyer - first_name: Animesh full_name: Gupta, Animesh last_name: Gupta - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - first_name: Bruce full_name: Levin, Bruce last_name: Levin citation: ama: Chaudhry W, Pleska M, Shah N, et al. Numerical data used in figures. 2018. doi:10.1371/journal.pbio.2005971.s008 apa: Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J., … Levin, B. (2018). Numerical data used in figures. Public Library of Science. https://doi.org/10.1371/journal.pbio.2005971.s008 chicago: Chaudhry, Waqas, Maros Pleska, Nilang Shah, Howard Weiss, Ingrid Mccall, Justin Meyer, Animesh Gupta, Calin C Guet, and Bruce Levin. “Numerical Data Used in Figures.” Public Library of Science, 2018. https://doi.org/10.1371/journal.pbio.2005971.s008. ieee: W. Chaudhry et al., “Numerical data used in figures.” Public Library of Science, 2018. ista: Chaudhry W, Pleska M, Shah N, Weiss H, Mccall I, Meyer J, Gupta A, Guet CC, Levin B. 2018. Numerical data used in figures, Public Library of Science, 10.1371/journal.pbio.2005971.s008. mla: Chaudhry, Waqas, et al. Numerical Data Used in Figures. Public Library of Science, 2018, doi:10.1371/journal.pbio.2005971.s008. short: W. Chaudhry, M. Pleska, N. Shah, H. Weiss, I. Mccall, J. Meyer, A. Gupta, C.C. Guet, B. Levin, (2018). date_created: 2021-08-06T12:43:44Z date_published: 2018-08-16T00:00:00Z date_updated: 2023-09-13T08:45:41Z day: '16' department: - _id: CaGu doi: 10.1371/journal.pbio.2005971.s008 month: '08' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '82' relation: used_in_publication status: public status: public title: Numerical data used in figures type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2018' ... --- _id: '275' abstract: - lang: eng text: Lymphatic endothelial cells (LECs) release extracellular chemokines to guide the migration of dendritic cells. In this study, we report that LECs also release basolateral exosome-rich endothelial vesicles (EEVs) that are secreted in greater numbers in the presence of inflammatory cytokines and accumulate in the perivascular stroma of small lymphatic vessels in human chronic inflammatory diseases. Proteomic analyses of EEV fractions identified > 1,700 cargo proteins and revealed a dominant motility-promoting protein signature. In vitro and ex vivo EEV fractions augmented cellular protrusion formation in a CX3CL1/fractalkine-dependent fashion and enhanced the directional migratory response of human dendritic cells along guidance cues. We conclude that perilymphatic LEC exosomes enhance exploratory behavior and thus promote directional migration of CX3CR1-expressing cells in complex tissue environments. acknowledgement: M. Brown was supported by the Cell Communication in Health and Disease Graduate Study Program of the Austrian Science Fund and Medizinische Universität Wien, M. Sixt by the European Research Council (ERC GA 281556) and an Austrian Science Fund START award, K.L. Bennett by the Austrian Academy of Sciences, D.G. Jackson and L.A. Johnson by Unit Funding (MC_UU_12010/2) and project grants from the Medical Research Council (G1100134 and MR/L008610/1), and M. Detmar by the Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung and Advanced European Research Council grant LYVICAM. K. Vaahtomeri was supported by an Academy of Finland postdoctoral research grant (287853). This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 668036 (RELENT). article_processing_charge: No author: - first_name: Markus full_name: Brown, Markus id: 3DAB9AFC-F248-11E8-B48F-1D18A9856A87 last_name: Brown - first_name: Louise full_name: Johnson, Louise last_name: Johnson - first_name: Dario full_name: Leone, Dario last_name: Leone - first_name: Peter full_name: Májek, Peter last_name: Májek - first_name: Kari full_name: Vaahtomeri, Kari id: 368EE576-F248-11E8-B48F-1D18A9856A87 last_name: Vaahtomeri orcid: 0000-0001-7829-3518 - first_name: Daniel full_name: Senfter, Daniel last_name: Senfter - first_name: Nora full_name: Bukosza, Nora last_name: Bukosza - first_name: Helga full_name: Schachner, Helga last_name: Schachner - first_name: Gabriele full_name: Asfour, Gabriele last_name: Asfour - first_name: Brigitte full_name: Langer, Brigitte last_name: Langer - first_name: Robert full_name: Hauschild, Robert id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87 last_name: Hauschild orcid: 0000-0001-9843-3522 - first_name: Katja full_name: Parapatics, Katja last_name: Parapatics - first_name: Young full_name: Hong, Young last_name: Hong - first_name: Keiryn full_name: Bennett, Keiryn last_name: Bennett - first_name: Renate full_name: Kain, Renate last_name: Kain - first_name: Michael full_name: Detmar, Michael last_name: Detmar - first_name: Michael K full_name: Sixt, Michael K id: 41E9FBEA-F248-11E8-B48F-1D18A9856A87 last_name: Sixt orcid: 0000-0002-6620-9179 - first_name: David full_name: Jackson, David last_name: Jackson - first_name: Dontscho full_name: Kerjaschki, Dontscho last_name: Kerjaschki citation: ama: Brown M, Johnson L, Leone D, et al. Lymphatic exosomes promote dendritic cell migration along guidance cues. Journal of Cell Biology. 2018;217(6):2205-2221. doi:10.1083/jcb.201612051 apa: Brown, M., Johnson, L., Leone, D., Májek, P., Vaahtomeri, K., Senfter, D., … Kerjaschki, D. (2018). Lymphatic exosomes promote dendritic cell migration along guidance cues. Journal of Cell Biology. Rockefeller University Press. https://doi.org/10.1083/jcb.201612051 chicago: Brown, Markus, Louise Johnson, Dario Leone, Peter Májek, Kari Vaahtomeri, Daniel Senfter, Nora Bukosza, et al. “Lymphatic Exosomes Promote Dendritic Cell Migration along Guidance Cues.” Journal of Cell Biology. Rockefeller University Press, 2018. https://doi.org/10.1083/jcb.201612051. ieee: M. Brown et al., “Lymphatic exosomes promote dendritic cell migration along guidance cues,” Journal of Cell Biology, vol. 217, no. 6. Rockefeller University Press, pp. 2205–2221, 2018. ista: Brown M, Johnson L, Leone D, Májek P, Vaahtomeri K, Senfter D, Bukosza N, Schachner H, Asfour G, Langer B, Hauschild R, Parapatics K, Hong Y, Bennett K, Kain R, Detmar M, Sixt MK, Jackson D, Kerjaschki D. 2018. Lymphatic exosomes promote dendritic cell migration along guidance cues. Journal of Cell Biology. 217(6), 2205–2221. mla: Brown, Markus, et al. “Lymphatic Exosomes Promote Dendritic Cell Migration along Guidance Cues.” Journal of Cell Biology, vol. 217, no. 6, Rockefeller University Press, 2018, pp. 2205–21, doi:10.1083/jcb.201612051. short: M. Brown, L. Johnson, D. Leone, P. Májek, K. Vaahtomeri, D. Senfter, N. Bukosza, H. Schachner, G. Asfour, B. Langer, R. Hauschild, K. Parapatics, Y. Hong, K. Bennett, R. Kain, M. Detmar, M.K. Sixt, D. Jackson, D. Kerjaschki, Journal of Cell Biology 217 (2018) 2205–2221. date_created: 2018-12-11T11:45:33Z date_published: 2018-04-12T00:00:00Z date_updated: 2023-09-13T08:51:29Z day: '12' ddc: - '570' department: - _id: MiSi - _id: Bio doi: 10.1083/jcb.201612051 ec_funded: 1 external_id: isi: - '000438077800026' pmid: - '29650776' file: - access_level: open_access checksum: 9c7eba51a35c62da8c13f98120b64df4 content_type: application/pdf creator: dernst date_created: 2018-12-17T12:50:07Z date_updated: 2020-07-14T12:45:45Z file_id: '5704' file_name: 2018_JournalCellBiology_Brown.pdf file_size: 2252043 relation: main_file file_date_updated: 2020-07-14T12:45:45Z has_accepted_license: '1' intvolume: ' 217' isi: 1 issue: '6' language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: 2205 - 2221 pmid: 1 project: - _id: 25A8E5EA-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Y 564-B12 name: Cytoskeletal force generation and transduction of leukocytes (FWF) - _id: 25A603A2-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '281556' name: Cytoskeletal force generation and force transduction of migrating leukocytes (EU) publication: Journal of Cell Biology publication_status: published publisher: Rockefeller University Press publist_id: '7627' quality_controlled: '1' scopus_import: '1' status: public title: Lymphatic exosomes promote dendritic cell migration along guidance cues 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: 217 year: '2018' ... --- _id: '158' abstract: - lang: eng text: 'The angiosperm seed is composed of three genetically distinct tissues: the diploid embryo that originates from the fertilized egg cell, the triploid endosperm that is produced from the fertilized central cell, and the maternal sporophytic integuments that develop into the seed coat1. At the onset of embryo development in Arabidopsis thaliana, the zygote divides asymmetrically, producing a small apical embryonic cell and a larger basal cell that connects the embryo to the maternal tissue2. The coordinated and synchronous development of the embryo and the surrounding integuments, and the alignment of their growth axes, suggest communication between maternal tissues and the embryo. In contrast to animals, however, where a network of maternal factors that direct embryo patterning have been identified3,4, only a few maternal mutations have been described to affect embryo development in plants5–7. Early embryo patterning in Arabidopsis requires accumulation of the phytohormone auxin in the apical cell by directed transport from the suspensor8–10. However, the origin of this auxin has remained obscure. Here we investigate the source of auxin for early embryogenesis and provide evidence that the mother plant coordinates seed development by supplying auxin to the early embryo from the integuments of the ovule. We show that auxin response increases in ovules after fertilization, due to upregulated auxin biosynthesis in the integuments, and this maternally produced auxin is required for correct embryo development.' acknowledgement: This work was further supported by the Czech Science Foundation GACR (GA13-40637S) to J.F.; article_processing_charge: No author: - first_name: Hélène full_name: Robert, Hélène last_name: Robert - first_name: Chulmin full_name: Park, Chulmin last_name: Park - first_name: Carla full_name: Gutièrrez, Carla last_name: Gutièrrez - first_name: Barbara full_name: Wójcikowska, Barbara last_name: Wójcikowska - first_name: Aleš full_name: Pěnčík, Aleš last_name: Pěnčík - first_name: Ondřej full_name: Novák, Ondřej last_name: Novák - first_name: Junyi full_name: Chen, Junyi last_name: Chen - first_name: Wim full_name: Grunewald, Wim last_name: Grunewald - first_name: Thomas full_name: Dresselhaus, Thomas last_name: Dresselhaus - first_name: Jirí full_name: Friml, Jirí id: 4159519E-F248-11E8-B48F-1D18A9856A87 last_name: Friml orcid: 0000-0002-8302-7596 - first_name: Thomas full_name: Laux, Thomas last_name: Laux citation: ama: Robert H, Park C, Gutièrrez C, et al. Maternal auxin supply contributes to early embryo patterning in Arabidopsis. Nature Plants. 2018;4(8):548-553. doi:10.1038/s41477-018-0204-z apa: Robert, H., Park, C., Gutièrrez, C., Wójcikowska, B., Pěnčík, A., Novák, O., … Laux, T. (2018). Maternal auxin supply contributes to early embryo patterning in Arabidopsis. Nature Plants. Nature Publishing Group. https://doi.org/10.1038/s41477-018-0204-z chicago: Robert, Hélène, Chulmin Park, Carla Gutièrrez, Barbara Wójcikowska, Aleš Pěnčík, Ondřej Novák, Junyi Chen, et al. “Maternal Auxin Supply Contributes to Early Embryo Patterning in Arabidopsis.” Nature Plants. Nature Publishing Group, 2018. https://doi.org/10.1038/s41477-018-0204-z. ieee: H. Robert et al., “Maternal auxin supply contributes to early embryo patterning in Arabidopsis,” Nature Plants, vol. 4, no. 8. Nature Publishing Group, pp. 548–553, 2018. ista: Robert H, Park C, Gutièrrez C, Wójcikowska B, Pěnčík A, Novák O, Chen J, Grunewald W, Dresselhaus T, Friml J, Laux T. 2018. Maternal auxin supply contributes to early embryo patterning in Arabidopsis. Nature Plants. 4(8), 548–553. mla: Robert, Hélène, et al. “Maternal Auxin Supply Contributes to Early Embryo Patterning in Arabidopsis.” Nature Plants, vol. 4, no. 8, Nature Publishing Group, 2018, pp. 548–53, doi:10.1038/s41477-018-0204-z. short: H. Robert, C. Park, C. Gutièrrez, B. Wójcikowska, A. Pěnčík, O. Novák, J. Chen, W. Grunewald, T. Dresselhaus, J. Friml, T. Laux, Nature Plants 4 (2018) 548–553. date_created: 2018-12-11T11:44:56Z date_published: 2018-07-16T00:00:00Z date_updated: 2023-09-13T08:53:28Z day: '16' department: - _id: JiFr doi: 10.1038/s41477-018-0204-z ec_funded: 1 external_id: isi: - '000443861300011' pmid: - '30013211' intvolume: ' 4' isi: 1 issue: '8' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pubmed/30013211 month: '07' oa: 1 oa_version: Submitted Version page: 548 - 553 pmid: 1 project: - _id: 25716A02-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '282300' name: Polarity and subcellular dynamics in plants publication: Nature Plants publication_status: published publisher: Nature Publishing Group publist_id: '7763' quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/plant-mothers-talk-to-their-embryos-via-the-hormone-auxin/ scopus_import: '1' status: public title: Maternal auxin supply contributes to early embryo patterning in Arabidopsis type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 4 year: '2018' ...