[{"quality_controlled":"1","has_accepted_license":"1","external_id":{"pmid":["32459228"],"arxiv":["1909.08934"]},"oa_version":"Published Version","scopus_import":"1","pmid":1,"day":"14","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","month":"06","language":[{"iso":"eng"}],"status":"public","year":"2020","article_processing_charge":"No","arxiv":1,"publication":"Physical Chemistry Chemical Physics","doi":"10.1039/d0cp02513e","volume":22,"oa":1,"page":"12697-12705","abstract":[{"lang":"eng","text":"Predicting phase stabilities of crystal polymorphs is central to computational materials science and chemistry. Such predictions are challenging because they first require searching for potential energy minima and then performing arduous free-energy calculations to account for entropic effects at finite temperatures. Here, we develop a framework that facilitates such predictions by exploiting all the information obtained from random searches of crystal structures. This framework combines automated clustering, classification and visualisation of crystal structures with machine-learning estimation of their enthalpy and entropy. We demonstrate the framework on the technologically important system of TiO2, which has many polymorphs, without relying on prior knowledge of known phases. We find a number of new phases and predict the phase diagram and metastabilities of crystal polymorphs at 1600 K, benchmarking the results against full free-energy calculations."}],"article_type":"original","date_updated":"2023-02-23T14:04:16Z","author":[{"full_name":"Reinhardt, Aleks","first_name":"Aleks","last_name":"Reinhardt"},{"first_name":"Chris J.","full_name":"Pickard, Chris J.","last_name":"Pickard"},{"first_name":"Bingqing","full_name":"Cheng, Bingqing","orcid":"0000-0002-3584-9632","id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9","last_name":"Cheng"}],"file_date_updated":"2021-07-15T12:43:51Z","issue":"22","ddc":["530"],"publication_identifier":{"eissn":["1463-9084"],"issn":["1463-9076"]},"type":"journal_article","intvolume":"        22","tmp":{"name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","image":"/images/cc_by.png","short":"CC BY (3.0)","legal_code_url":"https://creativecommons.org/licenses/by/3.0/legalcode"},"file":[{"content_type":"application/pdf","date_created":"2021-07-15T12:43:51Z","file_name":"202_PhysicalChemistryChemicalPhysics_Reinhardt.pdf","creator":"asandaue","file_id":"9667","file_size":3151206,"success":1,"relation":"main_file","access_level":"open_access","date_updated":"2021-07-15T12:43:51Z","checksum":"0a6872972b1b2e60f9095d39b01753fa"}],"publisher":"Royal Society of Chemistry","date_created":"2021-07-15T12:37:27Z","citation":{"chicago":"Reinhardt, Aleks, Chris J. Pickard, and Bingqing Cheng. “Predicting the Phase Diagram of Titanium Dioxide with Random Search and Pattern Recognition.” <i>Physical Chemistry Chemical Physics</i>. Royal Society of Chemistry, 2020. <a href=\"https://doi.org/10.1039/d0cp02513e\">https://doi.org/10.1039/d0cp02513e</a>.","mla":"Reinhardt, Aleks, et al. “Predicting the Phase Diagram of Titanium Dioxide with Random Search and Pattern Recognition.” <i>Physical Chemistry Chemical Physics</i>, vol. 22, no. 22, Royal Society of Chemistry, 2020, pp. 12697–705, doi:<a href=\"https://doi.org/10.1039/d0cp02513e\">10.1039/d0cp02513e</a>.","short":"A. Reinhardt, C.J. Pickard, B. Cheng, Physical Chemistry Chemical Physics 22 (2020) 12697–12705.","ama":"Reinhardt A, Pickard CJ, Cheng B. Predicting the phase diagram of titanium dioxide with random search and pattern recognition. <i>Physical Chemistry Chemical Physics</i>. 2020;22(22):12697-12705. doi:<a href=\"https://doi.org/10.1039/d0cp02513e\">10.1039/d0cp02513e</a>","ieee":"A. Reinhardt, C. J. Pickard, and B. Cheng, “Predicting the phase diagram of titanium dioxide with random search and pattern recognition,” <i>Physical Chemistry Chemical Physics</i>, vol. 22, no. 22. Royal Society of Chemistry, pp. 12697–12705, 2020.","apa":"Reinhardt, A., Pickard, C. J., &#38; Cheng, B. (2020). Predicting the phase diagram of titanium dioxide with random search and pattern recognition. <i>Physical Chemistry Chemical Physics</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/d0cp02513e\">https://doi.org/10.1039/d0cp02513e</a>","ista":"Reinhardt A, Pickard CJ, Cheng B. 2020. Predicting the phase diagram of titanium dioxide with random search and pattern recognition. Physical Chemistry Chemical Physics. 22(22), 12697–12705."},"publication_status":"published","title":"Predicting the phase diagram of titanium dioxide with random search and pattern recognition","_id":"9666","date_published":"2020-06-14T00:00:00Z","extern":"1"},{"volume":11,"oa":1,"doi":"10.1038/s41467-020-19606-y","publication":"Nature Communications","status":"public","year":"2020","language":[{"iso":"eng"}],"article_processing_charge":"No","month":"11","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","day":"13","scopus_import":"1","oa_version":"Published Version","has_accepted_license":"1","quality_controlled":"1","_id":"9671","date_published":"2020-11-13T00:00:00Z","extern":"1","title":"Liquid water contains the building blocks of diverse ice phases","date_created":"2021-07-15T14:01:35Z","publication_status":"published","citation":{"ista":"Monserrat B, Brandenburg JG, Engel EA, Cheng B. 2020. Liquid water contains the building blocks of diverse ice phases. Nature Communications. 11(1), 5757.","short":"B. Monserrat, J.G. Brandenburg, E.A. Engel, B. Cheng, Nature Communications 11 (2020).","mla":"Monserrat, Bartomeu, et al. “Liquid Water Contains the Building Blocks of Diverse Ice Phases.” <i>Nature Communications</i>, vol. 11, no. 1, 5757, Springer Nature, 2020, doi:<a href=\"https://doi.org/10.1038/s41467-020-19606-y\">10.1038/s41467-020-19606-y</a>.","chicago":"Monserrat, Bartomeu, Jan Gerit Brandenburg, Edgar A. Engel, and Bingqing Cheng. “Liquid Water Contains the Building Blocks of Diverse Ice Phases.” <i>Nature Communications</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1038/s41467-020-19606-y\">https://doi.org/10.1038/s41467-020-19606-y</a>.","apa":"Monserrat, B., Brandenburg, J. G., Engel, E. A., &#38; Cheng, B. (2020). Liquid water contains the building blocks of diverse ice phases. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-020-19606-y\">https://doi.org/10.1038/s41467-020-19606-y</a>","ama":"Monserrat B, Brandenburg JG, Engel EA, Cheng B. Liquid water contains the building blocks of diverse ice phases. <i>Nature Communications</i>. 2020;11(1). doi:<a href=\"https://doi.org/10.1038/s41467-020-19606-y\">10.1038/s41467-020-19606-y</a>","ieee":"B. Monserrat, J. G. Brandenburg, E. A. Engel, and B. Cheng, “Liquid water contains the building blocks of diverse ice phases,” <i>Nature Communications</i>, vol. 11, no. 1. Springer Nature, 2020."},"publisher":"Springer Nature","file":[{"content_type":"application/pdf","file_name":"2020_NatureCommunications_Monserrat.pdf","date_created":"2021-07-15T14:05:45Z","creator":"asandaue","file_size":1385954,"success":1,"file_id":"9672","checksum":"1edd9b6d8fa791f8094d87bd6453955b","date_updated":"2021-07-15T14:05:45Z","relation":"main_file","access_level":"open_access"}],"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"type":"journal_article","intvolume":"        11","publication_identifier":{"eissn":["2041-1723"]},"ddc":["530","540"],"file_date_updated":"2021-07-15T14:05:45Z","issue":"1","author":[{"full_name":"Monserrat, Bartomeu","first_name":"Bartomeu","last_name":"Monserrat"},{"last_name":"Brandenburg","full_name":"Brandenburg, Jan Gerit","first_name":"Jan Gerit"},{"last_name":"Engel","full_name":"Engel, Edgar A.","first_name":"Edgar A."},{"id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9","last_name":"Cheng","orcid":"0000-0002-3584-9632","full_name":"Cheng, Bingqing","first_name":"Bingqing"}],"date_updated":"2023-02-23T14:04:25Z","article_number":"5757","article_type":"original","abstract":[{"text":"Water molecules can arrange into a liquid with complex hydrogen-bond networks and at least 17 experimentally confirmed ice phases with enormous structural diversity. It remains a puzzle how or whether this multitude of arrangements in different phases of water are related. Here we investigate the structural similarities between liquid water and a comprehensive set of 54 ice phases in simulations, by directly comparing their local environments using general atomic descriptors, and also by demonstrating that a machine-learning potential trained on liquid water alone can predict the densities, lattice energies, and vibrational properties of the ices. The finding that the local environments characterising the different ice phases are found in water sheds light on the phase behavior of water, and rationalizes the transferability of water models between different phases.","lang":"eng"}]},{"oa":1,"volume":585,"doi":"10.1038/s41586-020-2677-y","publication":"Nature","arxiv":1,"article_processing_charge":"No","language":[{"iso":"eng"}],"year":"2020","status":"public","month":"09","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","day":"10","pmid":1,"scopus_import":"1","oa_version":"Preprint","external_id":{"pmid":["32908269"],"arxiv":["1906.03341"]},"quality_controlled":"1","extern":"1","_id":"9685","date_published":"2020-09-10T00:00:00Z","title":"Evidence for supercritical behaviour of high-pressure liquid hydrogen","citation":{"apa":"Cheng, B., Mazzola, G., Pickard, C. J., &#38; Ceriotti, M. (2020). Evidence for supercritical behaviour of high-pressure liquid hydrogen. <i>Nature</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41586-020-2677-y\">https://doi.org/10.1038/s41586-020-2677-y</a>","ama":"Cheng B, Mazzola G, Pickard CJ, Ceriotti M. Evidence for supercritical behaviour of high-pressure liquid hydrogen. <i>Nature</i>. 2020;585(7824):217-220. doi:<a href=\"https://doi.org/10.1038/s41586-020-2677-y\">10.1038/s41586-020-2677-y</a>","ieee":"B. Cheng, G. Mazzola, C. J. Pickard, and M. Ceriotti, “Evidence for supercritical behaviour of high-pressure liquid hydrogen,” <i>Nature</i>, vol. 585, no. 7824. Springer Nature, pp. 217–220, 2020.","short":"B. Cheng, G. Mazzola, C.J. Pickard, M. Ceriotti, Nature 585 (2020) 217–220.","chicago":"Cheng, Bingqing, Guglielmo Mazzola, Chris J. Pickard, and Michele Ceriotti. “Evidence for Supercritical Behaviour of High-Pressure Liquid Hydrogen.” <i>Nature</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1038/s41586-020-2677-y\">https://doi.org/10.1038/s41586-020-2677-y</a>.","mla":"Cheng, Bingqing, et al. “Evidence for Supercritical Behaviour of High-Pressure Liquid Hydrogen.” <i>Nature</i>, vol. 585, no. 7824, Springer Nature, 2020, pp. 217–20, doi:<a href=\"https://doi.org/10.1038/s41586-020-2677-y\">10.1038/s41586-020-2677-y</a>.","ista":"Cheng B, Mazzola G, Pickard CJ, Ceriotti M. 2020. Evidence for supercritical behaviour of high-pressure liquid hydrogen. Nature. 585(7824), 217–220."},"publication_status":"published","date_created":"2021-07-19T09:17:49Z","publisher":"Springer Nature","intvolume":"       585","type":"journal_article","publication_identifier":{"eissn":["1476-4687"],"issn":["0028-0836"]},"issue":"7824","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1906.03341"}],"author":[{"orcid":"0000-0002-3584-9632","full_name":"Cheng, Bingqing","first_name":"Bingqing","last_name":"Cheng","id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9"},{"first_name":"Guglielmo","full_name":"Mazzola, Guglielmo","last_name":"Mazzola"},{"full_name":"Pickard, Chris J.","first_name":"Chris J.","last_name":"Pickard"},{"full_name":"Ceriotti, Michele","first_name":"Michele","last_name":"Ceriotti"}],"date_updated":"2021-08-09T12:38:01Z","page":"217-220","abstract":[{"text":"Hydrogen, the simplest and most abundant element in the Universe, develops a remarkably complex behaviour upon compression^1. Since Wigner predicted the dissociation and metallization of solid hydrogen at megabar pressures almost a century ago^2, several efforts have been made to explain the many unusual properties of dense hydrogen, including a rich and poorly understood solid polymorphism^1,3-5, an anomalous melting line6 and the possible transition to a superconducting state^7. Experiments at such extreme conditions are challenging and often lead to hard-to-interpret and controversial observations, whereas theoretical investigations are constrained by the huge computational cost of sufficiently accurate quantum mechanical calculations. Here we present a theoretical study of the phase diagram of dense hydrogen that uses machine learning to 'learn' potential-energy surfaces and interatomic forces from reference calculations and then predict them at low computational cost, overcoming length- and timescale limitations. We reproduce both the re-entrant melting behaviour and the polymorphism of the solid phase. Simulations using our machine-learning-based potentials provide evidence for a continuous molecular-to-atomic transition in the liquid, with no first-order transition observed above the melting line. This suggests a smooth transition between insulating and metallic layers in giant gas planets, and reconciles existing discrepancies between experiments as a manifestation of supercritical behaviour.","lang":"eng"}],"article_type":"original"},{"article_processing_charge":"No","language":[{"iso":"eng"}],"year":"2020","status":"public","type":"preprint","month":"06","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","day":"23","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2006.13316"}],"author":[{"first_name":"Bartomeu","full_name":"Monserrat, Bartomeu","last_name":"Monserrat"},{"first_name":"Jan Gerit","full_name":"Brandenburg, Jan Gerit","last_name":"Brandenburg"},{"last_name":"Engel","first_name":"Edgar A.","full_name":"Engel, Edgar A."},{"id":"cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9","last_name":"Cheng","full_name":"Cheng, Bingqing","first_name":"Bingqing","orcid":"0000-0002-3584-9632"}],"oa_version":"Submitted Version","external_id":{"arxiv":["2006.13316"]},"date_updated":"2023-05-10T10:17:48Z","abstract":[{"text":"We investigate the structural similarities between liquid water and 53 ices, including 20 known crystalline phases. We base such similarity comparison on the local environments that consist of atoms within a certain cutoff radius of a central atom. We reveal that liquid water explores the local environments of the diverse ice phases, by directly comparing the environments in these phases using general atomic descriptors, and also by demonstrating that a machine-learning potential trained on liquid water alone can predict the densities, the lattice energies, and vibrational properties of the\r\nices. The finding that the local environments characterising the different ice phases are found in water sheds light on water phase behaviors, and rationalizes the transferability of water models between different phases.","lang":"eng"}],"article_number":"2006.13316","_id":"9699","date_published":"2020-06-23T00:00:00Z","extern":"1","oa":1,"title":"Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well","citation":{"ista":"Monserrat B, Brandenburg JG, Engel EA, Cheng B. Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well. arXiv, 2006.13316.","ieee":"B. Monserrat, J. G. Brandenburg, E. A. Engel, and B. Cheng, “Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well,” <i>arXiv</i>. .","ama":"Monserrat B, Brandenburg JG, Engel EA, Cheng B. Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2006.13316\">10.48550/arXiv.2006.13316</a>","apa":"Monserrat, B., Brandenburg, J. G., Engel, E. A., &#38; Cheng, B. (n.d.). Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2006.13316\">https://doi.org/10.48550/arXiv.2006.13316</a>","chicago":"Monserrat, Bartomeu, Jan Gerit Brandenburg, Edgar A. Engel, and Bingqing Cheng. “Extracting Ice Phases from Liquid Water: Why a Machine-Learning Water Model Generalizes so Well.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2006.13316\">https://doi.org/10.48550/arXiv.2006.13316</a>.","mla":"Monserrat, Bartomeu, et al. “Extracting Ice Phases from Liquid Water: Why a Machine-Learning Water Model Generalizes so Well.” <i>ArXiv</i>, 2006.13316, doi:<a href=\"https://doi.org/10.48550/arXiv.2006.13316\">10.48550/arXiv.2006.13316</a>.","short":"B. Monserrat, J.G. Brandenburg, E.A. Engel, B. Cheng, ArXiv (n.d.)."},"publication_status":"submitted","date_created":"2021-07-20T11:25:15Z","doi":"10.48550/arXiv.2006.13316","publication":"arXiv","arxiv":1},{"doi":"10.6084/m9.figshare.12629697.v1","publisher":"Springer Nature","department":[{"_id":"MaRo"}],"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"oa":1,"title":"Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults","_id":"9706","date_published":"2020-07-09T00:00:00Z","citation":{"ama":"Hillary RF, Trejo-Banos D, Kousathanas A, et al. Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults. 2020. doi:<a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">10.6084/m9.figshare.12629697.v1</a>","ieee":"R. F. Hillary <i>et al.</i>, “Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults.” Springer Nature, 2020.","apa":"Hillary, R. F., Trejo-Banos, D., Kousathanas, A., McCartney, D. L., Harris, S. E., Stevenson, A. J., … Marioni, R. E. (2020). Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults. Springer Nature. <a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">https://doi.org/10.6084/m9.figshare.12629697.v1</a>","chicago":"Hillary, Robert F., Daniel Trejo-Banos, Athanasios Kousathanas, Daniel L. McCartney, Sarah E. Harris, Anna J. Stevenson, Marion Patxot, et al. “Additional File 2 of Multi-Method Genome- and Epigenome-Wide Studies of Inflammatory Protein Levels in Healthy Older Adults.” Springer Nature, 2020. <a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">https://doi.org/10.6084/m9.figshare.12629697.v1</a>.","mla":"Hillary, Robert F., et al. <i>Additional File 2 of Multi-Method Genome- and Epigenome-Wide Studies of Inflammatory Protein Levels in Healthy Older Adults</i>. Springer Nature, 2020, doi:<a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">10.6084/m9.figshare.12629697.v1</a>.","short":"R.F. Hillary, D. Trejo-Banos, A. Kousathanas, D.L. McCartney, S.E. Harris, A.J. Stevenson, M. Patxot, S.E. Ojavee, Q. Zhang, D.C. Liewald, C.W. Ritchie, K.L. Evans, E.M. Tucker-Drob, N.R. Wray, A.F. McRae, P.M. Visscher, I.J. Deary, M.R. Robinson, R.E. Marioni, (2020).","ista":"Hillary RF, Trejo-Banos D, Kousathanas A, McCartney DL, Harris SE, Stevenson AJ, Patxot M, Ojavee SE, Zhang Q, Liewald DC, Ritchie CW, Evans KL, Tucker-Drob EM, Wray NR, McRae AF, Visscher PM, Deary IJ, Robinson MR, Marioni RE. 2020. Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults, Springer Nature, <a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">10.6084/m9.figshare.12629697.v1</a>."},"date_created":"2021-07-23T08:59:15Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.6084/m9.figshare.12629697.v1"}],"author":[{"first_name":"Robert F.","full_name":"Hillary, Robert F.","last_name":"Hillary"},{"first_name":"Daniel","full_name":"Trejo-Banos, Daniel","last_name":"Trejo-Banos"},{"full_name":"Kousathanas, Athanasios","first_name":"Athanasios","last_name":"Kousathanas"},{"full_name":"McCartney, Daniel L.","first_name":"Daniel L.","last_name":"McCartney"},{"last_name":"Harris","full_name":"Harris, Sarah E.","first_name":"Sarah E."},{"last_name":"Stevenson","full_name":"Stevenson, Anna J.","first_name":"Anna J."},{"last_name":"Patxot","first_name":"Marion","full_name":"Patxot, Marion"},{"first_name":"Sven Erik","full_name":"Ojavee, Sven Erik","last_name":"Ojavee"},{"last_name":"Zhang","first_name":"Qian","full_name":"Zhang, Qian"},{"full_name":"Liewald, David C.","first_name":"David C.","last_name":"Liewald"},{"full_name":"Ritchie, Craig W.","first_name":"Craig W.","last_name":"Ritchie"},{"last_name":"Evans","full_name":"Evans, Kathryn L.","first_name":"Kathryn L."},{"last_name":"Tucker-Drob","full_name":"Tucker-Drob, Elliot M.","first_name":"Elliot M."},{"last_name":"Wray","full_name":"Wray, Naomi R.","first_name":"Naomi R."},{"first_name":"Allan F. ","full_name":"McRae, Allan F. ","last_name":"McRae"},{"last_name":"Visscher","first_name":"Peter M.","full_name":"Visscher, Peter M."},{"last_name":"Deary","full_name":"Deary, Ian J.","first_name":"Ian J."},{"id":"E5D42276-F5DA-11E9-8E24-6303E6697425","last_name":"Robinson","full_name":"Robinson, Matthew Richard","first_name":"Matthew Richard","orcid":"0000-0001-8982-8813"},{"full_name":"Marioni, Riccardo E. ","first_name":"Riccardo E. ","last_name":"Marioni"}],"oa_version":"Published Version","other_data_license":"CC0 + CC BY (4.0)","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"8133"}]},"abstract":[{"lang":"eng","text":"Additional file 2: Supplementary Tables. The association of pre-adjusted protein levels with biological and technical covariates. Protein levels were adjusted for age, sex, array plate and four genetic principal components (population structure) prior to analyses. Significant associations are emboldened. (Table S1). pQTLs associated with inflammatory biomarker levels from Bayesian penalised regression model (Posterior Inclusion Probability > 95%). (Table S2). All pQTLs associated with inflammatory biomarker levels from ordinary least squares regression model (P < 7.14 × 10− 10). (Table S3). Summary of lambda values relating to ordinary least squares GWAS and EWAS performed on inflammatory protein levels (n = 70) in Lothian Birth Cohort 1936 study. (Table S4). Conditionally significant pQTLs associated with inflammatory biomarker levels from ordinary least squares regression model (P < 7.14 × 10− 10). (Table S5). Comparison of variance explained by ordinary least squares and Bayesian penalised regression models for concordantly identified SNPs. (Table S6). Estimate of heritability for blood protein levels as well as proportion of variance explained attributable to different prior mixtures. (Table S7). Comparison of heritability estimates from Ahsan et al. (maximum likelihood) and Hillary et al. (Bayesian penalised regression). (Table S8). List of concordant SNPs identified by linear model and Bayesian penalised regression and whether they have been previously identified as eQTLs. (Table S9). Bayesian tests of colocalisation for cis pQTLs and cis eQTLs. (Table S10). Sherlock algorithm: Genes whose expression are putatively associated with circulating inflammatory proteins that harbour pQTLs. (Table S11). CpGs associated with inflammatory protein biomarkers as identified by Bayesian model (Bayesian model; Posterior Inclusion Probability > 95%). (Table S12). CpGs associated with inflammatory protein biomarkers as identified by linear model (limma) at P < 5.14 × 10− 10. (Table S13). CpGs associated with inflammatory protein biomarkers as identified by mixed linear model (OSCA) at P < 5.14 × 10− 10. (Table S14). Estimate of variance explained for blood protein levels by DNA methylation as well as proportion of explained attributable to different prior mixtures - BayesR+. (Table S15). Comparison of variance in protein levels explained by genome-wide DNA methylation data by mixed linear model (OSCA) and Bayesian penalised regression model (BayesR+). (Table S16). Variance in circulating inflammatory protein biomarker levels explained by common genetic and methylation data (joint and conditional estimates from BayesR+). Ordered by combined variance explained by genetic and epigenetic data - smallest to largest. Significant results from t-tests comparing distributions for variance explained by methylation or genetics alone versus combined estimate are emboldened. (Table S17). Genetic and epigenetic factors identified by BayesR+ when conditioning on all SNPs and CpGs together. (Table S18). Mendelian Randomisation analyses to assess whether proteins with concordantly identified genetic signals are causally associated with Alzheimer’s disease risk. (Table S19)."}],"has_accepted_license":"1","date_updated":"2023-08-22T07:55:36Z","month":"07","article_processing_charge":"No","year":"2020","type":"research_data_reference","status":"public","day":"09","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf"},{"oa":1,"title":"Accompanying dataset for 'Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors'","_id":"9708","date_published":"2020-05-29T00:00:00Z","citation":{"ista":"Hartstein M, Hsu Y-T, Modic KA, Porras J, Loew T, Le Tacon M, Zuo H, Wang J, Zhu Z, Chan M, McDonald R, Lonzarich G, Keimer B, Sebastian S, Harrison N. 2020. Accompanying dataset for ‘Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors’, Apollo - University of Cambridge, <a href=\"https://doi.org/10.17863/cam.50169\">10.17863/cam.50169</a>.","apa":"Hartstein, M., Hsu, Y.-T., Modic, K. A., Porras, J., Loew, T., Le Tacon, M., … Harrison, N. (2020). Accompanying dataset for “Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors.” Apollo - University of Cambridge. <a href=\"https://doi.org/10.17863/cam.50169\">https://doi.org/10.17863/cam.50169</a>","ieee":"M. Hartstein <i>et al.</i>, “Accompanying dataset for ‘Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors.’” Apollo - University of Cambridge, 2020.","ama":"Hartstein M, Hsu Y-T, Modic KA, et al. Accompanying dataset for “Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors.” 2020. doi:<a href=\"https://doi.org/10.17863/cam.50169\">10.17863/cam.50169</a>","short":"M. Hartstein, Y.-T. Hsu, K.A. Modic, J. Porras, T. Loew, M. Le Tacon, H. Zuo, J. Wang, Z. Zhu, M. Chan, R. McDonald, G. Lonzarich, B. Keimer, S. Sebastian, N. Harrison, (2020).","mla":"Hartstein, Mate, et al. <i>Accompanying Dataset for “Hard Antinodal Gap Revealed by Quantum Oscillations in the Pseudogap Regime of Underdoped High-Tc Superconductors.”</i> Apollo - University of Cambridge, 2020, doi:<a href=\"https://doi.org/10.17863/cam.50169\">10.17863/cam.50169</a>.","chicago":"Hartstein, Mate, Yu-Te Hsu, Kimberly A Modic, Juan Porras, Toshinao Loew, Matthieu Le Tacon, Huakun Zuo, et al. “Accompanying Dataset for ‘Hard Antinodal Gap Revealed by Quantum Oscillations in the Pseudogap Regime of Underdoped High-Tc Superconductors.’” Apollo - University of Cambridge, 2020. <a href=\"https://doi.org/10.17863/cam.50169\">https://doi.org/10.17863/cam.50169</a>."},"date_created":"2021-07-23T10:00:35Z","publisher":"Apollo - University of Cambridge","doi":"10.17863/cam.50169","department":[{"_id":"KiMo"}],"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"month":"05","article_processing_charge":"No","year":"2020","status":"public","type":"research_data_reference","day":"29","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","oa_version":"Published Version","author":[{"first_name":"Mate","full_name":"Hartstein, Mate","last_name":"Hartstein"},{"last_name":"Hsu","first_name":"Yu-Te","full_name":"Hsu, Yu-Te"},{"id":"13C26AC0-EB69-11E9-87C6-5F3BE6697425","last_name":"Modic","orcid":"0000-0001-9760-3147","full_name":"Modic, Kimberly A","first_name":"Kimberly A"},{"full_name":"Porras, Juan","first_name":"Juan","last_name":"Porras"},{"last_name":"Loew","full_name":"Loew, Toshinao","first_name":"Toshinao"},{"full_name":"Le Tacon, Matthieu","first_name":"Matthieu","last_name":"Le Tacon"},{"first_name":"Huakun","full_name":"Zuo, Huakun","last_name":"Zuo"},{"last_name":"Wang","first_name":"Jinhua","full_name":"Wang, Jinhua"},{"first_name":"Zengwei","full_name":"Zhu, Zengwei","last_name":"Zhu"},{"last_name":"Chan","first_name":"Mun","full_name":"Chan, Mun"},{"first_name":"Ross","full_name":"McDonald, Ross","last_name":"McDonald"},{"last_name":"Lonzarich","full_name":"Lonzarich, Gilbert","first_name":"Gilbert"},{"last_name":"Keimer","first_name":"Bernhard","full_name":"Keimer, Bernhard"},{"first_name":"Suchitra","full_name":"Sebastian, Suchitra","last_name":"Sebastian"},{"first_name":"Neil","full_name":"Harrison, Neil","last_name":"Harrison"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.17863/CAM.50169"}],"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"7942"}]},"abstract":[{"lang":"eng","text":"This research data supports 'Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors'. A Readme file for plotting each figure is provided."}],"date_updated":"2023-08-21T07:06:48Z","has_accepted_license":"1"},{"publication":"bioRxiv","acknowledged_ssus":[{"_id":"Bio"},{"_id":"EM-Fac"},{"_id":"SSU"}],"doi":"10.1101/2020.11.20.391284","publisher":"Cold Spring Harbor Laboratory","project":[{"grant_number":"291734","call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","grant_number":"742573","_id":"260F1432-B435-11E9-9278-68D0E5697425","name":"Interaction and feedback between cell mechanics and fate specification in vertebrate gastrulation"},{"grant_number":"187-2013","name":"Modulation of adhesion function in cell-cell contact formation by cortical tension","_id":"2521E28E-B435-11E9-9278-68D0E5697425"}],"department":[{"_id":"CaHe"},{"_id":"EM-Fac"},{"_id":"Bio"}],"publication_status":"published","citation":{"ama":"Slovakova J, Sikora MK, Caballero Mancebo S, et al. Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion. <i>bioRxiv</i>. 2020. doi:<a href=\"https://doi.org/10.1101/2020.11.20.391284\">10.1101/2020.11.20.391284</a>","ieee":"J. Slovakova <i>et al.</i>, “Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory, 2020.","apa":"Slovakova, J., Sikora, M. K., Caballero Mancebo, S., Krens, G., Kaufmann, W., Huljev, K., &#38; Heisenberg, C.-P. J. (2020). Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2020.11.20.391284\">https://doi.org/10.1101/2020.11.20.391284</a>","mla":"Slovakova, Jana, et al. “Tension-Dependent Stabilization of E-Cadherin Limits Cell-Cell Contact Expansion.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, 2020, doi:<a href=\"https://doi.org/10.1101/2020.11.20.391284\">10.1101/2020.11.20.391284</a>.","chicago":"Slovakova, Jana, Mateusz K Sikora, Silvia Caballero Mancebo, Gabriel Krens, Walter Kaufmann, Karla Huljev, and Carl-Philipp J Heisenberg. “Tension-Dependent Stabilization of E-Cadherin Limits Cell-Cell Contact Expansion.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, 2020. <a href=\"https://doi.org/10.1101/2020.11.20.391284\">https://doi.org/10.1101/2020.11.20.391284</a>.","short":"J. Slovakova, M.K. Sikora, S. Caballero Mancebo, G. Krens, W. Kaufmann, K. Huljev, C.-P.J. Heisenberg, BioRxiv (2020).","ista":"Slovakova J, Sikora MK, Caballero Mancebo S, Krens G, Kaufmann W, Huljev K, Heisenberg C-PJ. 2020. Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion. bioRxiv, <a href=\"https://doi.org/10.1101/2020.11.20.391284\">10.1101/2020.11.20.391284</a>."},"date_created":"2021-07-29T11:29:50Z","_id":"9750","date_published":"2020-11-20T00:00:00Z","oa":1,"ec_funded":1,"title":"Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion","date_updated":"2024-03-25T23:30:10Z","abstract":[{"text":"Tension of the actomyosin cell cortex plays a key role in determining cell-cell contact growth and size. The level of cortical tension outside of the cell-cell contact, when pulling at the contact edge, scales with the total size to which a cell-cell contact can grow1,2. Here we show in zebrafish primary germ layer progenitor cells that this monotonic relationship only applies to a narrow range of cortical tension increase, and that above a critical threshold, contact size inversely scales with cortical tension. This switch from cortical tension increasing to decreasing progenitor cell-cell contact size is caused by cortical tension promoting E-cadherin anchoring to the actomyosin cytoskeleton, thereby increasing clustering and stability of E-cadherin at the contact. Once tension-mediated E-cadherin stabilization at the contact exceeds a critical threshold level, the rate by which the contact expands in response to pulling forces from the cortex sharply drops, leading to smaller contacts at physiologically relevant timescales of contact formation. Thus, the activity of cortical tension in expanding cell-cell contact size is limited by tension stabilizing E-cadherin-actin complexes at the contact.","lang":"eng"}],"page":"41","related_material":{"record":[{"id":"10766","status":"public","relation":"later_version"},{"relation":"dissertation_contains","status":"public","id":"9623"}]},"acknowledgement":"We would like to thank Edouard Hannezo for discussions, Shayan Shami Pour and Daniel Capek for help with data analysis, Vanessa Barone and other members of the Heisenberg laboratory for thoughtful discussions and comments on the manuscript. We also thank Jack Merrin for preparing the microwells, and the Scientific Service Units at IST Austria, specifically Bioimaging and Electron Microscopy, and the Zebrafish Facility for continuous support. We acknowledge Hitoshi Morita for the kind gift of VinculinB-GFP plasmid. This research was supported by an ERC Advanced Grant (MECSPEC) to C.-P.H, EMBO Long Term grant (ALTF 187-2013) to M.S and IST Fellow Marie-Curie COFUND No. P_IST_EU01 to J.S.","author":[{"first_name":"Jana","full_name":"Slovakova, Jana","last_name":"Slovakova","id":"30F3F2F0-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Sikora","id":"2F74BCDE-F248-11E8-B48F-1D18A9856A87","first_name":"Mateusz K","full_name":"Sikora, Mateusz K"},{"orcid":"0000-0002-5223-3346","full_name":"Caballero Mancebo, Silvia","first_name":"Silvia","id":"2F1E1758-F248-11E8-B48F-1D18A9856A87","last_name":"Caballero Mancebo"},{"last_name":"Krens","id":"2B819732-F248-11E8-B48F-1D18A9856A87","first_name":"Gabriel","full_name":"Krens, Gabriel","orcid":"0000-0003-4761-5996"},{"first_name":"Walter","full_name":"Kaufmann, Walter","orcid":"0000-0001-9735-5315","last_name":"Kaufmann","id":"3F99E422-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Huljev","id":"44C6F6A6-F248-11E8-B48F-1D18A9856A87","first_name":"Karla","full_name":"Huljev, Karla"},{"orcid":"0000-0002-0912-4566","full_name":"Heisenberg, Carl-Philipp J","first_name":"Carl-Philipp J","last_name":"Heisenberg","id":"39427864-F248-11E8-B48F-1D18A9856A87"}],"oa_version":"Preprint","main_file_link":[{"url":"https://doi.org/10.1101/2020.11.20.391284","open_access":"1"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","day":"20","article_processing_charge":"No","type":"preprint","year":"2020","language":[{"iso":"eng"}],"status":"public","month":"11"},{"oa":1,"title":"Maximizing crosstalk","date_published":"2020-02-25T00:00:00Z","_id":"9777","citation":{"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>","ieee":"R. Grah and T. Friedlander, “Maximizing crosstalk.” Public Library of Science, 2020.","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>","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>.","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>.","short":"R. Grah, T. Friedlander, (2020).","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>."},"date_created":"2021-08-06T07:21:51Z","doi":"10.1371/journal.pcbi.1007642.s002","publisher":"Public Library of Science","department":[{"_id":"GaTk"}],"month":"02","article_processing_charge":"No","year":"2020","status":"public","type":"research_data_reference","day":"25","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"None","main_file_link":[{"url":"https://doi.org/10.1371/journal.pcbi.1007642.s002","open_access":"1"}],"author":[{"orcid":"0000-0003-2539-3560","full_name":"Grah, Rok","first_name":"Rok","last_name":"Grah","id":"483E70DE-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Friedlander","full_name":"Friedlander, Tamar","first_name":"Tamar"}],"related_material":{"record":[{"relation":"used_in_publication","id":"7569","status":"public"}]},"date_updated":"2023-09-12T11:02:25Z"},{"oa":1,"title":"CCDC 1991959: Experimental Crystal Structure Determination","date_published":"2020-03-22T00:00:00Z","_id":"9780","citation":{"short":"W. Schlemmer, P. Nothdurft, A. Petzold, G. Riess, P. Frühwirt, M. Schmallegger, G. Gescheidt-Demner, R. Fischer, S.A. Freunberger, W. Kern, S. Spirk, (2020).","chicago":"Schlemmer, Werner, Philipp Nothdurft, Alina Petzold, Gisbert Riess, Philipp Frühwirt, Max Schmallegger, Georg Gescheidt-Demner, et al. “CCDC 1991959: Experimental Crystal Structure Determination.” CCDC, 2020. <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">https://doi.org/10.5517/ccdc.csd.cc24vsrk</a>.","mla":"Schlemmer, Werner, et al. <i>CCDC 1991959: Experimental Crystal Structure Determination</i>. CCDC, 2020, doi:<a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">10.5517/ccdc.csd.cc24vsrk</a>.","apa":"Schlemmer, W., Nothdurft, P., Petzold, A., Riess, G., Frühwirt, P., Schmallegger, M., … Spirk, S. (2020). CCDC 1991959: Experimental Crystal Structure Determination. CCDC. <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">https://doi.org/10.5517/ccdc.csd.cc24vsrk</a>","ieee":"W. Schlemmer <i>et al.</i>, “CCDC 1991959: Experimental Crystal Structure Determination.” CCDC, 2020.","ama":"Schlemmer W, Nothdurft P, Petzold A, et al. CCDC 1991959: Experimental Crystal Structure Determination. 2020. doi:<a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">10.5517/ccdc.csd.cc24vsrk</a>","ista":"Schlemmer W, Nothdurft P, Petzold A, Riess G, Frühwirt P, Schmallegger M, Gescheidt-Demner G, Fischer R, Freunberger SA, Kern W, Spirk S. 2020. CCDC 1991959: Experimental Crystal Structure Determination, CCDC, <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">10.5517/ccdc.csd.cc24vsrk</a>."},"date_created":"2021-08-06T07:41:07Z","doi":"10.5517/ccdc.csd.cc24vsrk","publisher":"CCDC","department":[{"_id":"StFr"}],"month":"03","article_processing_charge":"No","type":"research_data_reference","year":"2020","status":"public","day":"22","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","author":[{"full_name":"Schlemmer, Werner","first_name":"Werner","last_name":"Schlemmer"},{"last_name":"Nothdurft","first_name":"Philipp","full_name":"Nothdurft, Philipp"},{"last_name":"Petzold","full_name":"Petzold, Alina","first_name":"Alina"},{"full_name":"Riess, Gisbert","first_name":"Gisbert","last_name":"Riess"},{"first_name":"Philipp","full_name":"Frühwirt, Philipp","last_name":"Frühwirt"},{"last_name":"Schmallegger","full_name":"Schmallegger, Max","first_name":"Max"},{"last_name":"Gescheidt-Demner","full_name":"Gescheidt-Demner, Georg","first_name":"Georg"},{"first_name":"Roland","full_name":"Fischer, Roland","last_name":"Fischer"},{"first_name":"Stefan Alexander","full_name":"Freunberger, Stefan Alexander","orcid":"0000-0003-2902-5319","id":"A8CA28E6-CE23-11E9-AD2D-EC27E6697425","last_name":"Freunberger"},{"last_name":"Kern","first_name":"Wolfgang","full_name":"Kern, Wolfgang"},{"last_name":"Spirk","full_name":"Spirk, Stefan","first_name":"Stefan"}],"oa_version":"Published Version","main_file_link":[{"url":"https://dx.doi.org/10.5517/ccdc.csd.cc24vsrk","open_access":"1"}],"related_material":{"record":[{"relation":"used_in_publication","id":"8329","status":"public"}]},"abstract":[{"text":"PADREV : 4,4'-dimethoxy[1,1'-biphenyl]-2,2',5,5'-tetrol\r\nSpace Group: C 2 (5), Cell: a 24.488(16)Å b 5.981(4)Å c 3.911(3)Å, α 90° β 91.47(3)° γ 90°","lang":"eng"}],"date_updated":"2023-09-05T16:03:47Z"},{"external_id":{"isi":["000546967700022"],"arxiv":["1904.08647 "]},"has_accepted_license":"1","quality_controlled":"1","related_material":{"record":[{"relation":"dissertation_contains","id":"9733","status":"public"}]},"scopus_import":"1","oa_version":"Preprint","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","day":"12","article_processing_charge":"No","status":"public","language":[{"iso":"eng"}],"year":"2020","month":"02","isi":1,"publication":"SIAM Journal on Mathematical Analysis","arxiv":1,"doi":"10.1137/19m126284x","keyword":["Applied Mathematics","Computational Mathematics","Analysis"],"project":[{"grant_number":"694227","call_identifier":"H2020","name":"Analysis of quantum many-body systems","_id":"25C6DC12-B435-11E9-9278-68D0E5697425"}],"oa":1,"volume":52,"date_updated":"2023-09-07T13:30:11Z","article_type":"original","page":"605-622","abstract":[{"lang":"eng","text":"We consider the Pekar functional on a ball in ℝ3. We prove uniqueness of minimizers, and a quadratic lower bound in terms of the distance to the minimizer. The latter follows from nondegeneracy of the Hessian at the minimum."}],"issue":"1","main_file_link":[{"url":"https://arxiv.org/abs/1904.08647","open_access":"1"}],"author":[{"orcid":"0000-0003-0754-8530","full_name":"Feliciangeli, Dario","first_name":"Dario","last_name":"Feliciangeli","id":"41A639AA-F248-11E8-B48F-1D18A9856A87"},{"id":"4AFD0470-F248-11E8-B48F-1D18A9856A87","last_name":"Seiringer","first_name":"Robert","full_name":"Seiringer, Robert","orcid":"0000-0002-6781-0521"}],"acknowledgement":"We are grateful for the hospitality at the Mittag-Leffler Institute, where part of this work has been done. The work of the authors was supported by the European Research Council (ERC)under the European Union's Horizon 2020 research and innovation programme grant 694227.","publication_identifier":{"issn":["0036-1410"],"eissn":["1095-7154"]},"ddc":["510"],"type":"journal_article","intvolume":"        52","tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"publisher":"Society for Industrial & Applied Mathematics ","department":[{"_id":"RoSe"}],"publication_status":"published","citation":{"ista":"Feliciangeli D, Seiringer R. 2020. Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball. SIAM Journal on Mathematical Analysis. 52(1), 605–622.","apa":"Feliciangeli, D., &#38; Seiringer, R. (2020). Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball. <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial &#38; Applied Mathematics . <a href=\"https://doi.org/10.1137/19m126284x\">https://doi.org/10.1137/19m126284x</a>","ieee":"D. Feliciangeli and R. Seiringer, “Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball,” <i>SIAM Journal on Mathematical Analysis</i>, vol. 52, no. 1. Society for Industrial &#38; Applied Mathematics , pp. 605–622, 2020.","ama":"Feliciangeli D, Seiringer R. Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball. <i>SIAM Journal on Mathematical Analysis</i>. 2020;52(1):605-622. doi:<a href=\"https://doi.org/10.1137/19m126284x\">10.1137/19m126284x</a>","short":"D. Feliciangeli, R. Seiringer, SIAM Journal on Mathematical Analysis 52 (2020) 605–622.","mla":"Feliciangeli, Dario, and Robert Seiringer. “Uniqueness and Nondegeneracy of Minimizers of the Pekar Functional on a Ball.” <i>SIAM Journal on Mathematical Analysis</i>, vol. 52, no. 1, Society for Industrial &#38; Applied Mathematics , 2020, pp. 605–22, doi:<a href=\"https://doi.org/10.1137/19m126284x\">10.1137/19m126284x</a>.","chicago":"Feliciangeli, Dario, and Robert Seiringer. “Uniqueness and Nondegeneracy of Minimizers of the Pekar Functional on a Ball.” <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial &#38; Applied Mathematics , 2020. <a href=\"https://doi.org/10.1137/19m126284x\">https://doi.org/10.1137/19m126284x</a>."},"date_created":"2021-08-06T07:34:16Z","_id":"9781","date_published":"2020-02-12T00:00:00Z","title":"Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball","ec_funded":1},{"day":"15","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","month":"10","article_processing_charge":"No","type":"research_data_reference","year":"2020","status":"public","abstract":[{"lang":"eng","text":"Fitness interactions between mutations can influence a population’s evolution in many different ways. While epistatic effects are difficult to measure precisely, important information is captured by the mean and variance of log fitnesses for individuals carrying different numbers of mutations. We derive predictions for these quantities from a class of simple fitness landscapes, based on models of optimizing selection on quantitative traits. We also explore extensions to the models, including modular pleiotropy, variable effect sizes, mutational bias and maladaptation of the wild type. We illustrate our approach by reanalysing a large dataset of mutant effects in a yeast snoRNA. Though characterized by some large epistatic effects, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have limited influence on the evolutionary dynamics in this system. We also show how the amount of epistasis depends on both the underlying fitness landscape and the distribution of mutations, and so is expected to vary in consistent ways between new mutations, standing variation and fixed mutations."}],"date_updated":"2023-08-25T10:34:41Z","author":[{"last_name":"Fraisse","id":"32DF5794-F248-11E8-B48F-1D18A9856A87","first_name":"Christelle","full_name":"Fraisse, Christelle","orcid":"0000-0001-8441-5075"},{"last_name":"Welch","first_name":"John J.","full_name":"Welch, John J."}],"oa_version":"Published Version","main_file_link":[{"open_access":"1","url":"https://doi.org/10.6084/m9.figshare.7957472.v1"}],"related_material":{"record":[{"id":"6467","status":"public","relation":"used_in_publication"}]},"citation":{"short":"C. Fraisse, J.J. Welch, (2020).","mla":"Fraisse, Christelle, and John J. Welch. <i>Simulation Code for Fig S2 from the Distribution of Epistasis on Simple Fitness Landscapes</i>. Royal Society of London, 2020, doi:<a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">10.6084/m9.figshare.7957472.v1</a>.","chicago":"Fraisse, Christelle, and John J. Welch. “Simulation Code for Fig S2 from the Distribution of Epistasis on Simple Fitness Landscapes.” Royal Society of London, 2020. <a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">https://doi.org/10.6084/m9.figshare.7957472.v1</a>.","apa":"Fraisse, C., &#38; Welch, J. J. (2020). Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes. Royal Society of London. <a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">https://doi.org/10.6084/m9.figshare.7957472.v1</a>","ieee":"C. Fraisse and J. J. Welch, “Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes.” Royal Society of London, 2020.","ama":"Fraisse C, Welch JJ. Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes. 2020. doi:<a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">10.6084/m9.figshare.7957472.v1</a>","ista":"Fraisse C, Welch JJ. 2020. Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes, Royal Society of London, <a href=\"https://doi.org/10.6084/m9.figshare.7957472.v1\">10.6084/m9.figshare.7957472.v1</a>."},"date_created":"2021-08-06T11:18:15Z","oa":1,"title":"Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes","date_published":"2020-10-15T00:00:00Z","_id":"9798","publisher":"Royal Society of London","doi":"10.6084/m9.figshare.7957472.v1","department":[{"_id":"BeVi"},{"_id":"NiBa"}]},{"abstract":[{"lang":"eng","text":"Fitness interactions between mutations can influence a population’s evolution in many different ways. While epistatic effects are difficult to measure precisely, important information is captured by the mean and variance of log fitnesses for individuals carrying different numbers of mutations. We derive predictions for these quantities from a class of simple fitness landscapes, based on models of optimizing selection on quantitative traits. We also explore extensions to the models, including modular pleiotropy, variable effect sizes, mutational bias and maladaptation of the wild type. We illustrate our approach by reanalysing a large dataset of mutant effects in a yeast snoRNA. Though characterized by some large epistatic effects, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have limited influence on the evolutionary dynamics in this system. We also show how the amount of epistasis depends on both the underlying fitness landscape and the distribution of mutations, and so is expected to vary in consistent ways between new mutations, standing variation and fixed mutations."}],"date_updated":"2023-08-25T10:34:41Z","author":[{"last_name":"Fraisse","id":"32DF5794-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8441-5075","full_name":"Fraisse, Christelle","first_name":"Christelle"},{"last_name":"Welch","first_name":"John J.","full_name":"Welch, John J."}],"oa_version":"Published Version","main_file_link":[{"open_access":"1","url":"https://doi.org/10.6084/m9.figshare.7957469.v1"}],"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"6467"}]},"day":"15","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","month":"10","article_processing_charge":"No","year":"2020","status":"public","type":"research_data_reference","doi":"10.6084/m9.figshare.7957469.v1","publisher":"Royal Society of London","department":[{"_id":"BeVi"},{"_id":"NiBa"}],"citation":{"ista":"Fraisse C, Welch JJ. 2020. Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes, Royal Society of London, <a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">10.6084/m9.figshare.7957469.v1</a>.","short":"C. Fraisse, J.J. Welch, (2020).","chicago":"Fraisse, Christelle, and John J. Welch. “Simulation Code for Fig S1 from the Distribution of Epistasis on Simple Fitness Landscapes.” Royal Society of London, 2020. <a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">https://doi.org/10.6084/m9.figshare.7957469.v1</a>.","mla":"Fraisse, Christelle, and John J. Welch. <i>Simulation Code for Fig S1 from the Distribution of Epistasis on Simple Fitness Landscapes</i>. Royal Society of London, 2020, doi:<a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">10.6084/m9.figshare.7957469.v1</a>.","apa":"Fraisse, C., &#38; Welch, J. J. (2020). Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes. Royal Society of London. <a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">https://doi.org/10.6084/m9.figshare.7957469.v1</a>","ieee":"C. Fraisse and J. J. Welch, “Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes.” Royal Society of London, 2020.","ama":"Fraisse C, Welch JJ. Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes. 2020. doi:<a href=\"https://doi.org/10.6084/m9.figshare.7957469.v1\">10.6084/m9.figshare.7957469.v1</a>"},"date_created":"2021-08-06T11:26:57Z","oa":1,"title":"Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes","date_published":"2020-10-15T00:00:00Z","_id":"9799"},{"date_published":"2020-10-15T00:00:00Z","_id":"9814","oa":1,"title":"Data and mathematica notebooks for plotting figures from language learning with communication between learners from language acquisition with communication between learners","citation":{"short":"R. Ibsen-Jensen, J. Tkadlec, K. Chatterjee, M. Nowak, (2020).","chicago":"Ibsen-Jensen, Rasmus, Josef Tkadlec, Krishnendu Chatterjee, and Martin Nowak. “Data and Mathematica Notebooks for Plotting Figures from Language Learning with Communication between Learners from Language Acquisition with Communication between Learners.” Royal Society, 2020. <a href=\"https://doi.org/10.6084/m9.figshare.5973013.v1\">https://doi.org/10.6084/m9.figshare.5973013.v1</a>.","mla":"Ibsen-Jensen, Rasmus, et al. <i>Data and Mathematica Notebooks for Plotting Figures from Language Learning with Communication between Learners from Language Acquisition with Communication between Learners</i>. Royal Society, 2020, doi:<a href=\"https://doi.org/10.6084/m9.figshare.5973013.v1\">10.6084/m9.figshare.5973013.v1</a>.","apa":"Ibsen-Jensen, R., Tkadlec, J., Chatterjee, K., &#38; Nowak, M. (2020). Data and mathematica notebooks for plotting figures from language learning with communication between learners from language acquisition with communication between learners. Royal Society. <a href=\"https://doi.org/10.6084/m9.figshare.5973013.v1\">https://doi.org/10.6084/m9.figshare.5973013.v1</a>","ama":"Ibsen-Jensen R, Tkadlec J, Chatterjee K, Nowak M. Data and mathematica notebooks for plotting figures from language learning with communication between learners from language acquisition with communication between learners. 2020. doi:<a href=\"https://doi.org/10.6084/m9.figshare.5973013.v1\">10.6084/m9.figshare.5973013.v1</a>","ieee":"R. Ibsen-Jensen, J. Tkadlec, K. Chatterjee, and M. Nowak, “Data and mathematica notebooks for plotting figures from language learning with communication between learners from language acquisition with communication between learners.” Royal Society, 2020.","ista":"Ibsen-Jensen R, Tkadlec J, Chatterjee K, Nowak M. 2020. Data and mathematica notebooks for plotting figures from language learning with communication between learners from language acquisition with communication between learners, Royal Society, <a href=\"https://doi.org/10.6084/m9.figshare.5973013.v1\">10.6084/m9.figshare.5973013.v1</a>."},"date_created":"2021-08-06T13:09:57Z","publisher":"Royal Society","doi":"10.6084/m9.figshare.5973013.v1","department":[{"_id":"KrCh"}],"article_processing_charge":"No","status":"public","type":"research_data_reference","year":"2020","month":"10","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","day":"15","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"198"}]},"author":[{"full_name":"Ibsen-Jensen, Rasmus","first_name":"Rasmus","orcid":"0000-0003-4783-0389","id":"3B699956-F248-11E8-B48F-1D18A9856A87","last_name":"Ibsen-Jensen"},{"id":"3F24CCC8-F248-11E8-B48F-1D18A9856A87","last_name":"Tkadlec","orcid":"0000-0002-1097-9684","first_name":"Josef","full_name":"Tkadlec, Josef"},{"last_name":"Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4561-241X","full_name":"Chatterjee, Krishnendu","first_name":"Krishnendu"},{"last_name":"Nowak","full_name":"Nowak, Martin","first_name":"Martin"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.6084/m9.figshare.5973013.v1"}],"oa_version":"Published Version","date_updated":"2023-10-18T06:36:00Z","abstract":[{"lang":"eng","text":"Data and mathematica notebooks for plotting figures from Language learning with communication between learners"}]},{"_id":"10862","date_published":"2020-10-15T00:00:00Z","ec_funded":1,"title":"Spectral rigidity for addition of random matrices at the regular edge","citation":{"ista":"Bao Z, Erdös L, Schnelli K. 2020. Spectral rigidity for addition of random matrices at the regular edge. Journal of Functional Analysis. 279(7), 108639.","mla":"Bao, Zhigang, et al. “Spectral Rigidity for Addition of Random Matrices at the Regular Edge.” <i>Journal of Functional Analysis</i>, vol. 279, no. 7, 108639, Elsevier, 2020, doi:<a href=\"https://doi.org/10.1016/j.jfa.2020.108639\">10.1016/j.jfa.2020.108639</a>.","chicago":"Bao, Zhigang, László Erdös, and Kevin Schnelli. “Spectral Rigidity for Addition of Random Matrices at the Regular Edge.” <i>Journal of Functional Analysis</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.jfa.2020.108639\">https://doi.org/10.1016/j.jfa.2020.108639</a>.","short":"Z. Bao, L. Erdös, K. Schnelli, Journal of Functional Analysis 279 (2020).","ama":"Bao Z, Erdös L, Schnelli K. Spectral rigidity for addition of random matrices at the regular edge. <i>Journal of Functional Analysis</i>. 2020;279(7). doi:<a href=\"https://doi.org/10.1016/j.jfa.2020.108639\">10.1016/j.jfa.2020.108639</a>","ieee":"Z. Bao, L. Erdös, and K. Schnelli, “Spectral rigidity for addition of random matrices at the regular edge,” <i>Journal of Functional Analysis</i>, vol. 279, no. 7. Elsevier, 2020.","apa":"Bao, Z., Erdös, L., &#38; Schnelli, K. (2020). Spectral rigidity for addition of random matrices at the regular edge. <i>Journal of Functional Analysis</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jfa.2020.108639\">https://doi.org/10.1016/j.jfa.2020.108639</a>"},"publication_status":"published","date_created":"2022-03-18T10:18:59Z","publisher":"Elsevier","department":[{"_id":"LaEr"}],"type":"journal_article","intvolume":"       279","publication_identifier":{"issn":["0022-1236"]},"issue":"7","author":[{"id":"442E6A6C-F248-11E8-B48F-1D18A9856A87","last_name":"Bao","orcid":"0000-0003-3036-1475","full_name":"Bao, Zhigang","first_name":"Zhigang"},{"last_name":"Erdös","id":"4DBD5372-F248-11E8-B48F-1D18A9856A87","first_name":"László","full_name":"Erdös, László","orcid":"0000-0001-5366-9603"},{"last_name":"Schnelli","full_name":"Schnelli, Kevin","first_name":"Kevin"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1708.01597"}],"acknowledgement":"Partially supported by ERC Advanced Grant RANMAT No. 338804.","date_updated":"2023-08-24T14:08:42Z","article_number":"108639","article_type":"original","abstract":[{"text":"We consider the sum of two large Hermitian matrices A and B with a Haar unitary conjugation bringing them into a general relative position. We prove that the eigenvalue density on the scale slightly above the local eigenvalue spacing is asymptotically given by the free additive convolution of the laws of A and B as the dimension of the matrix increases. This implies optimal rigidity of the eigenvalues and optimal rate of convergence in Voiculescu's theorem. Our previous works [4], [5] established these results in the bulk spectrum, the current paper completely settles the problem at the spectral edges provided they have the typical square-root behavior. The key element of our proof is to compensate the deterioration of the stability of the subordination equations by sharp error estimates that properly account for the local density near the edge. Our results also hold if the Haar unitary matrix is replaced by the Haar orthogonal matrix.","lang":"eng"}],"oa":1,"volume":279,"doi":"10.1016/j.jfa.2020.108639","project":[{"_id":"258DCDE6-B435-11E9-9278-68D0E5697425","name":"Random matrices, universality and disordered quantum systems","call_identifier":"FP7","grant_number":"338804"}],"keyword":["Analysis"],"isi":1,"publication":"Journal of Functional Analysis","arxiv":1,"article_processing_charge":"No","year":"2020","language":[{"iso":"eng"}],"status":"public","month":"10","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","day":"15","scopus_import":"1","oa_version":"Preprint","external_id":{"arxiv":["1708.01597"],"isi":["000559623200009"]},"quality_controlled":"1"},{"date_created":"2022-03-18T11:35:51Z","publication_status":"published","citation":{"ista":"Chakraborty S, Prabhakaran M, Wichs D. 2020.Witness maps and applications. In: Public-Key Cryptography. vol. 12110, 220–246.","ama":"Chakraborty S, Prabhakaran M, Wichs D. Witness maps and applications. In: Kiayias A, ed. <i>Public-Key Cryptography</i>. Vol 12110. LNCS. Cham: Springer Nature; 2020:220-246. doi:<a href=\"https://doi.org/10.1007/978-3-030-45374-9_8\">10.1007/978-3-030-45374-9_8</a>","ieee":"S. Chakraborty, M. Prabhakaran, and D. Wichs, “Witness maps and applications,” in <i>Public-Key Cryptography</i>, vol. 12110, A. Kiayias, Ed. Cham: Springer Nature, 2020, pp. 220–246.","apa":"Chakraborty, S., Prabhakaran, M., &#38; Wichs, D. (2020). Witness maps and applications. In A. Kiayias (Ed.), <i>Public-Key Cryptography</i> (Vol. 12110, pp. 220–246). Cham: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-030-45374-9_8\">https://doi.org/10.1007/978-3-030-45374-9_8</a>","chicago":"Chakraborty, Suvradip, Manoj Prabhakaran, and Daniel Wichs. “Witness Maps and Applications.” In <i>Public-Key Cryptography</i>, edited by A Kiayias, 12110:220–46. LNCS. Cham: Springer Nature, 2020. <a href=\"https://doi.org/10.1007/978-3-030-45374-9_8\">https://doi.org/10.1007/978-3-030-45374-9_8</a>.","mla":"Chakraborty, Suvradip, et al. “Witness Maps and Applications.” <i>Public-Key Cryptography</i>, edited by A Kiayias, vol. 12110, Springer Nature, 2020, pp. 220–46, doi:<a href=\"https://doi.org/10.1007/978-3-030-45374-9_8\">10.1007/978-3-030-45374-9_8</a>.","short":"S. Chakraborty, M. Prabhakaran, D. Wichs, in:, A. Kiayias (Ed.), Public-Key Cryptography, Springer Nature, Cham, 2020, pp. 220–246."},"title":"Witness maps and applications","date_published":"2020-04-29T00:00:00Z","_id":"10865","publisher":"Springer Nature","publication_identifier":{"eissn":["1611-3349"],"issn":["0302-9743"],"isbn":["9783030453732","9783030453749"]},"editor":[{"last_name":"Kiayias","full_name":"Kiayias, A","first_name":"A"}],"intvolume":"     12110","type":"book_chapter","abstract":[{"text":"We introduce the notion of Witness Maps as a cryptographic notion of a proof system. A Unique Witness Map (UWM) deterministically maps all witnesses for an   NP  statement to a single representative witness, resulting in a computationally sound, deterministic-prover, non-interactive witness independent proof system. A relaxation of UWM, called Compact Witness Map (CWM), maps all the witnesses to a small number of witnesses, resulting in a “lossy” deterministic-prover, non-interactive proof-system. We also define a Dual Mode Witness Map (DMWM) which adds an “extractable” mode to a CWM.\r\nOur main construction is a DMWM for all   NP  relations, assuming sub-exponentially secure indistinguishability obfuscation (  iO ), along with standard cryptographic assumptions. The DMWM construction relies on a CWM and a new primitive called Cumulative All-Lossy-But-One Trapdoor Functions (C-ALBO-TDF), both of which are in turn instantiated based on   iO  and other primitives. Our instantiation of a CWM is in fact a UWM; in turn, we show that a UWM implies Witness Encryption. Along the way to constructing UWM and C-ALBO-TDF, we also construct, from standard assumptions, Puncturable Digital Signatures and a new primitive called Cumulative Lossy Trapdoor Functions (C-LTDF). The former improves up on a construction of Bellare et al. (Eurocrypt 2016), who relied on sub-exponentially secure   iO  and sub-exponentially secure OWF.\r\nAs an application of our constructions, we show how to use a DMWM to construct the first leakage and tamper-resilient signatures with a deterministic signer, thereby solving a decade old open problem posed by Katz and Vaikunthanathan (Asiacrypt 2009), by Boyle, Segev and Wichs (Eurocrypt 2011), as well as by Faonio and Venturi (Asiacrypt 2016). Our construction achieves the optimal leakage rate of   1−o(1) .","lang":"eng"}],"page":"220-246","date_updated":"2023-09-05T15:10:02Z","author":[{"id":"B9CD0494-D033-11E9-B219-A439E6697425","last_name":"Chakraborty","first_name":"Suvradip","full_name":"Chakraborty, Suvradip"},{"last_name":"Prabhakaran","first_name":"Manoj","full_name":"Prabhakaran, Manoj"},{"last_name":"Wichs","first_name":"Daniel","full_name":"Wichs, Daniel"}],"main_file_link":[{"url":"https://eprint.iacr.org/2020/090","open_access":"1"}],"acknowledgement":"We would like to thank the anonymous reviewers of PKC 2019 for their useful comments and suggestions. We thank Omer Paneth for pointing out to us the connection between Unique Witness Maps (UWM) and Witness encryption (WE). The first author would like to acknowledge Pandu Rangan for his involvement during the initial discussion phase of the project.","volume":12110,"oa":1,"publication":"Public-Key Cryptography","doi":"10.1007/978-3-030-45374-9_8","day":"29","place":"Cham","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","month":"04","language":[{"iso":"eng"}],"year":"2020","status":"public","article_processing_charge":"No","quality_controlled":"1","series_title":"LNCS","oa_version":"Preprint","scopus_import":"1"},{"page":"5323-5329","article_type":"original","abstract":[{"lang":"eng","text":"Recent discoveries have shown that, when two layers of van der Waals (vdW) materials are superimposed with a relative twist angle between them, the electronic properties of the coupled system can be dramatically altered. Here, we demonstrate that a similar concept can be extended to the optics realm, particularly to propagating phonon polaritons–hybrid light-matter interactions. To do this, we fabricate stacks composed of two twisted slabs of a vdW crystal (α-MoO3) supporting anisotropic phonon polaritons (PhPs), and image the propagation of the latter when launched by localized sources. Our images reveal that, under a critical angle, the PhPs isofrequency curve undergoes a topological transition, in which the propagation of PhPs is strongly guided (canalization regime) along predetermined directions without geometric spreading. These results demonstrate a new degree of freedom (twist angle) for controlling the propagation of polaritons at the nanoscale with potential for nanoimaging, (bio)-sensing, or heat management."}],"date_updated":"2023-09-05T12:05:58Z","acknowledgement":"J.T.-G. and G.Á.-P. acknowledge support through the Severo Ochoa Program from the\r\nGovernment of the Principality of Asturias (nos. PA-18-PF-BP17-126 and PA20-PF-BP19-053,\r\nrespectively). J. M-S acknowledges financial support through the Ramón y Cajal Program from\r\nthe Government of Spain (RYC2018-026196-I). A.Y.N. acknowledges the Spanish Ministry of\r\nScience, Innovation and Universities (national project no. MAT201788358-C3-3-R). P.A.-G.\r\nacknowledges support from the European Research Council under starting grant no. 715496,\r\n2DNANOPTICA.","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2004.14599"}],"author":[{"first_name":"Jiahua","full_name":"Duan, Jiahua","last_name":"Duan"},{"last_name":"Capote-Robayna","full_name":"Capote-Robayna, Nathaniel","first_name":"Nathaniel"},{"last_name":"Taboada-Gutiérrez","first_name":"Javier","full_name":"Taboada-Gutiérrez, Javier"},{"last_name":"Álvarez-Pérez","first_name":"Gonzalo","full_name":"Álvarez-Pérez, Gonzalo"},{"id":"2A307FE2-F248-11E8-B48F-1D18A9856A87","last_name":"Prieto Gonzalez","first_name":"Ivan","full_name":"Prieto Gonzalez, Ivan","orcid":"0000-0002-7370-5357"},{"first_name":"Javier","full_name":"Martín-Sánchez, Javier","last_name":"Martín-Sánchez"},{"first_name":"Alexey Y.","full_name":"Nikitin, Alexey Y.","last_name":"Nikitin"},{"full_name":"Alonso-González, Pablo","first_name":"Pablo","last_name":"Alonso-González"}],"issue":"7","publication_identifier":{"eissn":["1530-6992"],"issn":["1530-6984"]},"intvolume":"        20","type":"journal_article","publisher":"American Chemical Society","department":[{"_id":"NanoFab"}],"publication_status":"published","citation":{"apa":"Duan, J., Capote-Robayna, N., Taboada-Gutiérrez, J., Álvarez-Pérez, G., Prieto Gonzalez, I., Martín-Sánchez, J., … Alonso-González, P. (2020). Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs. <i>Nano Letters</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.nanolett.0c01673\">https://doi.org/10.1021/acs.nanolett.0c01673</a>","ieee":"J. Duan <i>et al.</i>, “Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs,” <i>Nano Letters</i>, vol. 20, no. 7. American Chemical Society, pp. 5323–5329, 2020.","ama":"Duan J, Capote-Robayna N, Taboada-Gutiérrez J, et al. Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs. <i>Nano Letters</i>. 2020;20(7):5323-5329. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.0c01673\">10.1021/acs.nanolett.0c01673</a>","short":"J. Duan, N. Capote-Robayna, J. Taboada-Gutiérrez, G. Álvarez-Pérez, I. Prieto Gonzalez, J. Martín-Sánchez, A.Y. Nikitin, P. Alonso-González, Nano Letters 20 (2020) 5323–5329.","mla":"Duan, Jiahua, et al. “Twisted Nano-Optics: Manipulating Light at the Nanoscale with Twisted Phonon Polaritonic Slabs.” <i>Nano Letters</i>, vol. 20, no. 7, American Chemical Society, 2020, pp. 5323–29, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.0c01673\">10.1021/acs.nanolett.0c01673</a>.","chicago":"Duan, Jiahua, Nathaniel Capote-Robayna, Javier Taboada-Gutiérrez, Gonzalo Álvarez-Pérez, Ivan Prieto Gonzalez, Javier Martín-Sánchez, Alexey Y. Nikitin, and Pablo Alonso-González. “Twisted Nano-Optics: Manipulating Light at the Nanoscale with Twisted Phonon Polaritonic Slabs.” <i>Nano Letters</i>. American Chemical Society, 2020. <a href=\"https://doi.org/10.1021/acs.nanolett.0c01673\">https://doi.org/10.1021/acs.nanolett.0c01673</a>.","ista":"Duan J, Capote-Robayna N, Taboada-Gutiérrez J, Álvarez-Pérez G, Prieto Gonzalez I, Martín-Sánchez J, Nikitin AY, Alonso-González P. 2020. Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs. Nano Letters. 20(7), 5323–5329."},"date_created":"2022-03-18T11:37:38Z","title":"Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs","_id":"10866","date_published":"2020-07-01T00:00:00Z","quality_controlled":"1","external_id":{"pmid":["32530634"],"arxiv":["2004.14599"],"isi":["000548893200082"]},"oa_version":"Preprint","scopus_import":"1","day":"01","pmid":1,"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","month":"07","article_processing_charge":"No","year":"2020","status":"public","language":[{"iso":"eng"}],"publication":"Nano Letters","arxiv":1,"isi":1,"doi":"10.1021/acs.nanolett.0c01673","keyword":["Mechanical Engineering","Condensed Matter Physics","General Materials Science","General Chemistry","Bioengineering"],"oa":1,"volume":20},{"keyword":["General Mathematics"],"doi":"10.1093/imrn/rny037","arxiv":1,"publication":"International Mathematics Research Notices","isi":1,"volume":2020,"oa":1,"oa_version":"Preprint","scopus_import":"1","quality_controlled":"1","external_id":{"isi":["000522852700002"],"arxiv":["1702.07513"]},"month":"02","language":[{"iso":"eng"}],"year":"2020","status":"public","article_processing_charge":"No","day":"01","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","department":[{"_id":"HeEd"}],"publisher":"Oxford University Press","title":"Waist of balls in hyperbolic and spherical spaces","_id":"10867","date_published":"2020-02-01T00:00:00Z","date_created":"2022-03-18T11:39:30Z","publication_status":"published","citation":{"ista":"Akopyan A, Karasev R. 2020. Waist of balls in hyperbolic and spherical spaces. International Mathematics Research Notices. 2020(3), 669–697.","apa":"Akopyan, A., &#38; Karasev, R. (2020). Waist of balls in hyperbolic and spherical spaces. <i>International Mathematics Research Notices</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/imrn/rny037\">https://doi.org/10.1093/imrn/rny037</a>","ama":"Akopyan A, Karasev R. Waist of balls in hyperbolic and spherical spaces. <i>International Mathematics Research Notices</i>. 2020;2020(3):669-697. doi:<a href=\"https://doi.org/10.1093/imrn/rny037\">10.1093/imrn/rny037</a>","ieee":"A. Akopyan and R. Karasev, “Waist of balls in hyperbolic and spherical spaces,” <i>International Mathematics Research Notices</i>, vol. 2020, no. 3. Oxford University Press, pp. 669–697, 2020.","short":"A. Akopyan, R. Karasev, International Mathematics Research Notices 2020 (2020) 669–697.","mla":"Akopyan, Arseniy, and Roman Karasev. “Waist of Balls in Hyperbolic and Spherical Spaces.” <i>International Mathematics Research Notices</i>, vol. 2020, no. 3, Oxford University Press, 2020, pp. 669–97, doi:<a href=\"https://doi.org/10.1093/imrn/rny037\">10.1093/imrn/rny037</a>.","chicago":"Akopyan, Arseniy, and Roman Karasev. “Waist of Balls in Hyperbolic and Spherical Spaces.” <i>International Mathematics Research Notices</i>. Oxford University Press, 2020. <a href=\"https://doi.org/10.1093/imrn/rny037\">https://doi.org/10.1093/imrn/rny037</a>."},"author":[{"orcid":"0000-0002-2548-617X","first_name":"Arseniy","full_name":"Akopyan, Arseniy","last_name":"Akopyan","id":"430D2C90-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Karasev, Roman","first_name":"Roman","last_name":"Karasev"}],"main_file_link":[{"url":"https://arxiv.org/abs/1702.07513","open_access":"1"}],"acknowledgement":" Supported by the Russian Foundation for Basic Research grant 18-01-00036.","issue":"3","abstract":[{"lang":"eng","text":"In this paper we find a tight estimate for Gromov’s waist of the balls in spaces of constant curvature, deduce the estimates for the balls in Riemannian manifolds with upper bounds on the curvature (CAT(ϰ)-spaces), and establish similar result for normed spaces."}],"article_type":"original","page":"669-697","date_updated":"2023-08-24T14:19:55Z","type":"journal_article","intvolume":"      2020","publication_identifier":{"eissn":["1687-0247"],"issn":["1073-7928"]}},{"publication":"Neuron","doi":"10.1016/j.neuron.2020.05.031","keyword":["General Neuroscience"],"oa":1,"volume":106,"quality_controlled":"1","external_id":{"pmid":["32553207"]},"oa_version":"Published Version","scopus_import":"1","day":"17","pmid":1,"user_id":"72615eeb-f1f3-11ec-aa25-d4573ddc34fd","month":"06","article_processing_charge":"No","year":"2020","status":"public","language":[{"iso":"eng"}],"publisher":"Elsevier","citation":{"ista":"Cho UH, Hetzer M. 2020. Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging. Neuron. 106(6), 899–911.","apa":"Cho, U. H., &#38; Hetzer, M. (2020). Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.05.031\">https://doi.org/10.1016/j.neuron.2020.05.031</a>","ieee":"U. H. Cho and M. Hetzer, “Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging,” <i>Neuron</i>, vol. 106, no. 6. Elsevier, pp. 899–911, 2020.","ama":"Cho UH, Hetzer M. Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging. <i>Neuron</i>. 2020;106(6):899-911. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.05.031\">10.1016/j.neuron.2020.05.031</a>","short":"U.H. Cho, M. Hetzer, Neuron 106 (2020) 899–911.","chicago":"Cho, Ukrae H., and Martin Hetzer. “Nuclear Periphery Takes Center Stage: The Role of Nuclear Pore Complexes in Cell Identity and Aging.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.05.031\">https://doi.org/10.1016/j.neuron.2020.05.031</a>.","mla":"Cho, Ukrae H., and Martin Hetzer. “Nuclear Periphery Takes Center Stage: The Role of Nuclear Pore Complexes in Cell Identity and Aging.” <i>Neuron</i>, vol. 106, no. 6, Elsevier, 2020, pp. 899–911, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.05.031\">10.1016/j.neuron.2020.05.031</a>."},"publication_status":"published","date_created":"2022-04-07T07:43:36Z","title":"Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging","date_published":"2020-06-17T00:00:00Z","_id":"11054","extern":"1","page":"899-911","abstract":[{"text":"In recent years, the nuclear pore complex (NPC) has emerged as a key player in genome regulation and cellular homeostasis. New discoveries have revealed that the NPC has multiple cellular functions besides mediating the molecular exchange between the nucleus and the cytoplasm. In this review, we discuss non-transport aspects of the NPC focusing on the NPC-genome interaction, the extreme longevity of the NPC proteins, and NPC dysfunction in age-related diseases. The examples summarized herein demonstrate that the NPC, which first evolved to enable the biochemical communication between the nucleus and the cytoplasm, now doubles as the gatekeeper of cellular identity and aging.","lang":"eng"}],"article_type":"review","date_updated":"2022-07-18T08:29:35Z","main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2020.05.031","open_access":"1"}],"author":[{"last_name":"Cho","first_name":"Ukrae H.","full_name":"Cho, Ukrae H."},{"last_name":"HETZER","id":"86c0d31b-b4eb-11ec-ac5a-eae7b2e135ed","full_name":"HETZER, Martin W","first_name":"Martin W","orcid":"0000-0002-2111-992X"}],"issue":"6","publication_identifier":{"issn":["0896-6273"]},"type":"journal_article","intvolume":"       106"},{"volume":9,"oa":1,"publication":"eLife","keyword":["General Immunology and Microbiology","General Biochemistry","Genetics and Molecular Biology","General Medicine","General Neuroscience"],"doi":"10.7554/elife.54383","user_id":"72615eeb-f1f3-11ec-aa25-d4573ddc34fd","pmid":1,"day":"08","status":"public","language":[{"iso":"eng"}],"year":"2020","article_processing_charge":"No","month":"09","has_accepted_license":"1","external_id":{"pmid":["32896271"]},"quality_controlled":"1","scopus_import":"1","oa_version":"Published Version","date_created":"2022-04-07T07:43:48Z","citation":{"apa":"Bersini, S., Schulte, R., Huang, L., Tsai, H., &#38; Hetzer, M. (2020). Direct reprogramming of human smooth muscle and vascular endothelial cells reveals defects associated with aging and Hutchinson-Gilford progeria syndrome. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/elife.54383\">https://doi.org/10.7554/elife.54383</a>","ama":"Bersini S, Schulte R, Huang L, Tsai H, Hetzer M. Direct reprogramming of human smooth muscle and vascular endothelial cells reveals defects associated with aging and Hutchinson-Gilford progeria syndrome. <i>eLife</i>. 2020;9. doi:<a href=\"https://doi.org/10.7554/elife.54383\">10.7554/elife.54383</a>","ieee":"S. Bersini, R. Schulte, L. Huang, H. Tsai, and M. Hetzer, “Direct reprogramming of human smooth muscle and vascular endothelial cells reveals defects associated with aging and Hutchinson-Gilford progeria syndrome,” <i>eLife</i>, vol. 9. eLife Sciences Publications, 2020.","short":"S. Bersini, R. Schulte, L. Huang, H. Tsai, M. Hetzer, ELife 9 (2020).","mla":"Bersini, Simone, et al. “Direct Reprogramming of Human Smooth Muscle and Vascular Endothelial Cells Reveals Defects Associated with Aging and Hutchinson-Gilford Progeria Syndrome.” <i>ELife</i>, vol. 9, e54383, eLife Sciences Publications, 2020, doi:<a href=\"https://doi.org/10.7554/elife.54383\">10.7554/elife.54383</a>.","chicago":"Bersini, Simone, Roberta Schulte, Ling Huang, Hannah Tsai, and Martin Hetzer. “Direct Reprogramming of Human Smooth Muscle and Vascular Endothelial Cells Reveals Defects Associated with Aging and Hutchinson-Gilford Progeria Syndrome.” <i>ELife</i>. eLife Sciences Publications, 2020. <a href=\"https://doi.org/10.7554/elife.54383\">https://doi.org/10.7554/elife.54383</a>.","ista":"Bersini S, Schulte R, Huang L, Tsai H, Hetzer M. 2020. Direct reprogramming of human smooth muscle and vascular endothelial cells reveals defects associated with aging and Hutchinson-Gilford progeria syndrome. eLife. 9, e54383."},"publication_status":"published","_id":"11055","extern":"1","date_published":"2020-09-08T00:00:00Z","title":"Direct reprogramming of human smooth muscle and vascular endothelial cells reveals defects associated with aging and Hutchinson-Gilford progeria syndrome","file":[{"file_name":"2020_eLife_Bersini.pdf","date_created":"2022-04-08T06:53:10Z","content_type":"application/pdf","checksum":"f8b3821349a194050be02570d8fe7d4b","date_updated":"2022-04-08T06:53:10Z","relation":"main_file","access_level":"open_access","creator":"dernst","success":1,"file_id":"11132","file_size":4399825}],"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"publisher":"eLife Sciences Publications","publication_identifier":{"issn":["2050-084X"]},"ddc":["570"],"intvolume":"         9","type":"journal_article","date_updated":"2022-07-18T08:30:37Z","abstract":[{"text":"Vascular dysfunctions are a common feature of multiple age-related diseases. However, modeling healthy and pathological aging of the human vasculature represents an unresolved experimental challenge. Here, we generated induced vascular endothelial cells (iVECs) and smooth muscle cells (iSMCs) by direct reprogramming of healthy human fibroblasts from donors of different ages and Hutchinson-Gilford Progeria Syndrome (HGPS) patients. iVECs induced from old donors revealed upregulation of GSTM1 and PALD1, genes linked to oxidative stress, inflammation and endothelial junction stability, as vascular aging markers. A functional assay performed on PALD1 KD VECs demonstrated a recovery in vascular permeability. We found that iSMCs from HGPS donors overexpressed bone morphogenetic protein (BMP)−4, which plays a key role in both vascular calcification and endothelial barrier damage observed in HGPS. Strikingly, BMP4 concentrations are higher in serum from HGPS vs. age-matched mice. Furthermore, targeting BMP4 with blocking antibody recovered the functionality of the vascular barrier in vitro, hence representing a potential future therapeutic strategy to limit cardiovascular dysfunction in HGPS. These results show that iVECs and iSMCs retain disease-related signatures, allowing modeling of vascular aging and HGPS in vitro.","lang":"eng"}],"article_type":"original","article_number":"e54383","file_date_updated":"2022-04-08T06:53:10Z","author":[{"last_name":"Bersini","full_name":"Bersini, Simone","first_name":"Simone"},{"first_name":"Roberta","full_name":"Schulte, Roberta","last_name":"Schulte"},{"last_name":"Huang","full_name":"Huang, Ling","first_name":"Ling"},{"last_name":"Tsai","first_name":"Hannah","full_name":"Tsai, Hannah"},{"first_name":"Martin W","full_name":"HETZER, Martin W","orcid":"0000-0002-2111-992X","last_name":"HETZER","id":"86c0d31b-b4eb-11ec-ac5a-eae7b2e135ed"}]},{"keyword":["General Biochemistry","Genetics and Molecular Biology","Biomedical Engineering","Biomaterials"],"doi":"10.1002/adbi.202000044","publication":"Advanced Biosystems","volume":4,"oa":1,"oa_version":"Published Version","scopus_import":"1","quality_controlled":"1","has_accepted_license":"1","external_id":{"pmid":["32402127"]},"month":"05","year":"2020","language":[{"iso":"eng"}],"status":"public","article_processing_charge":"No","pmid":1,"day":"01","user_id":"72615eeb-f1f3-11ec-aa25-d4573ddc34fd","publisher":"Wiley","tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"file":[{"creator":"dernst","file_id":"11134","file_size":2490829,"success":1,"relation":"main_file","access_level":"open_access","date_updated":"2022-04-08T07:06:05Z","checksum":"5584d9a1609812dc75c02ce1e35d2ec0","content_type":"application/pdf","date_created":"2022-04-08T07:06:05Z","file_name":"2020_AdvancedBiosystems_Bersini.pdf"}],"title":"Transcriptional and functional changes of the human microvasculature during physiological aging and Alzheimer disease","date_published":"2020-05-01T00:00:00Z","_id":"11056","extern":"1","date_created":"2022-04-07T07:43:57Z","publication_status":"published","citation":{"ista":"Bersini S, Arrojo e Drigo R, Huang L, Shokhirev MN, Hetzer M. 2020. Transcriptional and functional changes of the human microvasculature during physiological aging and Alzheimer disease. Advanced Biosystems. 4(5), 2000044.","mla":"Bersini, Simone, et al. “Transcriptional and Functional Changes of the Human Microvasculature during Physiological Aging and Alzheimer Disease.” <i>Advanced Biosystems</i>, vol. 4, no. 5, 2000044, Wiley, 2020, doi:<a href=\"https://doi.org/10.1002/adbi.202000044\">10.1002/adbi.202000044</a>.","chicago":"Bersini, Simone, Rafael Arrojo e Drigo, Ling Huang, Maxim N. Shokhirev, and Martin Hetzer. “Transcriptional and Functional Changes of the Human Microvasculature during Physiological Aging and Alzheimer Disease.” <i>Advanced Biosystems</i>. Wiley, 2020. <a href=\"https://doi.org/10.1002/adbi.202000044\">https://doi.org/10.1002/adbi.202000044</a>.","short":"S. Bersini, R. Arrojo e Drigo, L. Huang, M.N. Shokhirev, M. Hetzer, Advanced Biosystems 4 (2020).","ieee":"S. Bersini, R. Arrojo e Drigo, L. Huang, M. N. Shokhirev, and M. Hetzer, “Transcriptional and functional changes of the human microvasculature during physiological aging and Alzheimer disease,” <i>Advanced Biosystems</i>, vol. 4, no. 5. Wiley, 2020.","ama":"Bersini S, Arrojo e Drigo R, Huang L, Shokhirev MN, Hetzer M. Transcriptional and functional changes of the human microvasculature during physiological aging and Alzheimer disease. <i>Advanced Biosystems</i>. 2020;4(5). doi:<a href=\"https://doi.org/10.1002/adbi.202000044\">10.1002/adbi.202000044</a>","apa":"Bersini, S., Arrojo e Drigo, R., Huang, L., Shokhirev, M. N., &#38; Hetzer, M. (2020). Transcriptional and functional changes of the human microvasculature during physiological aging and Alzheimer disease. <i>Advanced Biosystems</i>. Wiley. <a href=\"https://doi.org/10.1002/adbi.202000044\">https://doi.org/10.1002/adbi.202000044</a>"},"author":[{"last_name":"Bersini","first_name":"Simone","full_name":"Bersini, Simone"},{"first_name":"Rafael","full_name":"Arrojo e Drigo, Rafael","last_name":"Arrojo e Drigo"},{"last_name":"Huang","first_name":"Ling","full_name":"Huang, Ling"},{"first_name":"Maxim N.","full_name":"Shokhirev, Maxim N.","last_name":"Shokhirev"},{"last_name":"HETZER","id":"86c0d31b-b4eb-11ec-ac5a-eae7b2e135ed","orcid":"0000-0002-2111-992X","full_name":"HETZER, Martin W","first_name":"Martin W"}],"file_date_updated":"2022-04-08T07:06:05Z","issue":"5","article_number":"2000044","article_type":"original","abstract":[{"lang":"eng","text":"Aging of the circulatory system correlates with the pathogenesis of a large spectrum of diseases. However, it is largely unknown which factors drive the age-dependent or pathological decline of the vasculature and how vascular defects relate to tissue aging. The goal of the study is to design a multianalytical approach to identify how the cellular microenvironment (i.e., fibroblasts) and serum from healthy donors of different ages or Alzheimer disease (AD) patients can modulate the functionality of organ-specific vascular endothelial cells (VECs). Long-living human microvascular networks embedding VECs and fibroblasts from skin biopsies are generated. RNA-seq, secretome analyses, and microfluidic assays demonstrate that fibroblasts from young donors restore the functionality of aged endothelial cells, an effect also achieved by serum from young donors. New biomarkers of vascular aging are validated in human biopsies and it is shown that young serum induces angiopoietin-like-4, which can restore compromised vascular barriers. This strategy is then employed to characterize transcriptional/functional changes induced on the blood–brain barrier by AD serum, demonstrating the importance of PTP4A3 in the regulation of permeability. Features of vascular degeneration during aging and AD are recapitulated, and a tool to identify novel biomarkers that can be exploited to develop future therapeutics modulating vascular function is established."}],"date_updated":"2022-07-18T08:30:48Z","intvolume":"         4","type":"journal_article","ddc":["570"],"publication_identifier":{"issn":["2366-7478","2366-7478"]}}]