--- _id: '7399' abstract: - lang: eng text: Long non-coding (lnc) RNAs are numerous and found throughout the mammalian genome, and many are thought to be involved in the regulation of gene expression. However, the majority remain relatively uncharacterised and of uncertain function making the use of model systems to uncover their mode of action valuable. Imprinted lncRNAs target and recruit epigenetic silencing factors to a cluster of imprinted genes on the same chromosome, making them one of the best characterized lncRNAs for silencing distant genes in cis. In this study we examined silencing of the distant imprinted gene Slc22a3 by the lncRNA Airn in the Igf2r imprinted cluster in mouse. Previously we proposed that imprinted lncRNAs may silence distant imprinted genes by disrupting promoter-enhancer interactions by being transcribed through the enhancer, which we called the enhancer interference hypothesis. Here we tested this hypothesis by first using allele-specific chromosome conformation capture (3C) to detect interactions between the Slc22a3 promoter and the locus of the Airn lncRNA that silences it on the paternal chromosome. In agreement with the model, we found interactions enriched on the maternal allele across the entire Airn gene consistent with multiple enhancer-promoter interactions. Therefore, to test the enhancer interference hypothesis we devised an approach to delete the entire Airn gene. However, the deletion showed that there are no essential enhancers for Slc22a2, Pde10a and Slc22a3 within the Airn gene, strongly indicating that the Airn RNA rather than its transcription is responsible for silencing distant imprinted genes. Furthermore, we found that silent imprinted genes were covered with large blocks of H3K27me3 on the repressed paternal allele. Therefore we propose an alternative hypothesis whereby the chromosome interactions may initially guide the lncRNA to target imprinted promoters and recruit repressive chromatin, and that these interactions are lost once silencing is established. article_number: e1008268 article_processing_charge: No article_type: original author: - first_name: Daniel full_name: Andergassen, Daniel last_name: Andergassen - first_name: Markus full_name: Muckenhuber, Markus last_name: Muckenhuber - first_name: Philipp C. full_name: Bammer, Philipp C. last_name: Bammer - first_name: Tomasz M. full_name: Kulinski, Tomasz M. last_name: Kulinski - first_name: Hans-Christian full_name: Theussl, Hans-Christian last_name: Theussl - first_name: Takahiko full_name: Shimizu, Takahiko last_name: Shimizu - first_name: Josef M. full_name: Penninger, Josef M. last_name: Penninger - first_name: Florian full_name: Pauler, Florian id: 48EA0138-F248-11E8-B48F-1D18A9856A87 last_name: Pauler orcid: 0000-0002-7462-0048 - first_name: Quanah J. full_name: Hudson, Quanah J. last_name: Hudson citation: ama: Andergassen D, Muckenhuber M, Bammer PC, et al. The Airn lncRNA does not require any DNA elements within its locus to silence distant imprinted genes. PLoS Genetics. 2019;15(7). doi:10.1371/journal.pgen.1008268 apa: Andergassen, D., Muckenhuber, M., Bammer, P. C., Kulinski, T. M., Theussl, H.-C., Shimizu, T., … Hudson, Q. J. (2019). The Airn lncRNA does not require any DNA elements within its locus to silence distant imprinted genes. PLoS Genetics. Public Library of Science. https://doi.org/10.1371/journal.pgen.1008268 chicago: Andergassen, Daniel, Markus Muckenhuber, Philipp C. Bammer, Tomasz M. Kulinski, Hans-Christian Theussl, Takahiko Shimizu, Josef M. Penninger, Florian Pauler, and Quanah J. Hudson. “The Airn LncRNA Does Not Require Any DNA Elements within Its Locus to Silence Distant Imprinted Genes.” PLoS Genetics. Public Library of Science, 2019. https://doi.org/10.1371/journal.pgen.1008268. ieee: D. Andergassen et al., “The Airn lncRNA does not require any DNA elements within its locus to silence distant imprinted genes,” PLoS Genetics, vol. 15, no. 7. Public Library of Science, 2019. ista: Andergassen D, Muckenhuber M, Bammer PC, Kulinski TM, Theussl H-C, Shimizu T, Penninger JM, Pauler F, Hudson QJ. 2019. The Airn lncRNA does not require any DNA elements within its locus to silence distant imprinted genes. PLoS Genetics. 15(7), e1008268. mla: Andergassen, Daniel, et al. “The Airn LncRNA Does Not Require Any DNA Elements within Its Locus to Silence Distant Imprinted Genes.” PLoS Genetics, vol. 15, no. 7, e1008268, Public Library of Science, 2019, doi:10.1371/journal.pgen.1008268. short: D. Andergassen, M. Muckenhuber, P.C. Bammer, T.M. Kulinski, H.-C. Theussl, T. Shimizu, J.M. Penninger, F. Pauler, Q.J. Hudson, PLoS Genetics 15 (2019). date_created: 2020-01-29T16:14:07Z date_published: 2019-07-22T00:00:00Z date_updated: 2023-10-17T12:30:27Z day: '22' ddc: - '570' department: - _id: SiHi doi: 10.1371/journal.pgen.1008268 external_id: isi: - '000478689100025' pmid: - '31329595' file: - access_level: open_access checksum: 2f51fc91e4a4199827adc51d432ad864 content_type: application/pdf creator: dernst date_created: 2020-02-04T10:11:55Z date_updated: 2020-07-14T12:47:57Z file_id: '7446' file_name: 2019_PlosGenetics_Andergassen.pdf file_size: 2302307 relation: main_file file_date_updated: 2020-07-14T12:47:57Z has_accepted_license: '1' intvolume: ' 15' isi: 1 issue: '7' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '07' oa: 1 oa_version: Published Version pmid: 1 publication: PLoS Genetics publication_identifier: issn: - 1553-7404 publication_status: published publisher: Public Library of Science quality_controlled: '1' scopus_import: '1' status: public title: The Airn lncRNA does not require any DNA elements within its locus to silence distant imprinted genes tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 15 year: '2019' ... --- _id: '7103' abstract: - lang: eng text: Origin and functions of intermittent transitions among sleep stages, including short awakenings and arousals, constitute a challenge to the current homeostatic framework for sleep regulation, focusing on factors modulating sleep over large time scales. Here we propose that the complex micro-architecture characterizing the sleep-wake cycle results from an underlying non-equilibrium critical dynamics, bridging collective behaviors across spatio-temporal scales. We investigate θ and δ wave dynamics in control rats and in rats with lesions of sleep-promoting neurons in the parafacial zone. We demonstrate that intermittent bursts in θ and δ rhythms exhibit a complex temporal organization, with long-range power-law correlations and a robust duality of power law (θ-bursts, active phase) and exponential-like (δ-bursts, quiescent phase) duration distributions, typical features of non-equilibrium systems self-organizing at criticality. Crucially, such temporal organization relates to anti-correlated coupling between θ- and δ-bursts, and is independent of the dominant physiologic state and lesions, a solid indication of a basic principle in sleep dynamics. article_number: e1007268 article_processing_charge: No article_type: original author: - first_name: Jilin W. J. L. full_name: Wang, Jilin W. J. L. last_name: Wang - first_name: Fabrizio full_name: Lombardi, Fabrizio id: A057D288-3E88-11E9-986D-0CF4E5697425 last_name: Lombardi orcid: 0000-0003-2623-5249 - first_name: Xiyun full_name: Zhang, Xiyun last_name: Zhang - first_name: Christelle full_name: Anaclet, Christelle last_name: Anaclet - first_name: Plamen Ch. full_name: Ivanov, Plamen Ch. last_name: Ivanov citation: ama: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. 2019;15(11). doi:10.1371/journal.pcbi.1007268 apa: Wang, J. W. J. L., Lombardi, F., Zhang, X., Anaclet, C., & Ivanov, P. C. (2019). Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007268 chicago: Wang, Jilin W. J. L., Fabrizio Lombardi, Xiyun Zhang, Christelle Anaclet, and Plamen Ch. Ivanov. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” PLoS Computational Biology. Public Library of Science, 2019. https://doi.org/10.1371/journal.pcbi.1007268. ieee: J. W. J. L. Wang, F. Lombardi, X. Zhang, C. Anaclet, and P. C. Ivanov, “Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture,” PLoS Computational Biology, vol. 15, no. 11. Public Library of Science, 2019. ista: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. 2019. Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. 15(11), e1007268. mla: Wang, Jilin W. J. L., et al. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” PLoS Computational Biology, vol. 15, no. 11, e1007268, Public Library of Science, 2019, doi:10.1371/journal.pcbi.1007268. short: J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational Biology 15 (2019). date_created: 2019-11-25T08:20:47Z date_published: 2019-11-01T00:00:00Z date_updated: 2023-10-17T12:30:07Z day: '01' ddc: - '570' - '000' department: - _id: GaTk doi: 10.1371/journal.pcbi.1007268 ec_funded: 1 external_id: isi: - '000500976100014' pmid: - '31725712' file: - access_level: open_access checksum: 2a096a9c6dcc6eaa94077b2603bc6c12 content_type: application/pdf creator: dernst date_created: 2019-11-25T08:24:01Z date_updated: 2020-07-14T12:47:49Z file_id: '7104' file_name: 2019_PLOSComBio_Wang.pdf file_size: 3982516 relation: main_file file_date_updated: 2020-07-14T12:47:49Z has_accepted_license: '1' intvolume: ' 15' isi: 1 issue: '11' language: - iso: eng month: '11' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: PLoS Computational Biology publication_identifier: issn: - 1553-7358 publication_status: published publisher: Public Library of Science quality_controlled: '1' scopus_import: '1' status: public title: Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 15 year: '2019' ... --- _id: '6569' abstract: - lang: eng text: 'Knowledge distillation, i.e. one classifier being trained on the outputs of another classifier, is an empirically very successful technique for knowledge transfer between classifiers. It has even been observed that classifiers learn much faster and more reliably if trained with the outputs of another classifier as soft labels, instead of from ground truth data. So far, however, there is no satisfactory theoretical explanation of this phenomenon. In this work, we provide the first insights into the working mechanisms of distillation by studying the special case of linear and deep linear classifiers. Specifically, we prove a generalization bound that establishes fast convergence of the expected risk of a distillation-trained linear classifier. From the bound and its proof we extract three keyfactors that determine the success of distillation: data geometry – geometric properties of the datadistribution, in particular class separation, has an immediate influence on the convergence speed of the risk; optimization bias– gradient descentoptimization finds a very favorable minimum of the distillation objective; and strong monotonicity– the expected risk of the student classifier always decreases when the size of the training set grows.' article_processing_charge: No author: - first_name: Phuong full_name: Bui Thi Mai, Phuong id: 3EC6EE64-F248-11E8-B48F-1D18A9856A87 last_name: Bui Thi Mai - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Phuong M, Lampert C. Towards understanding knowledge distillation. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:5142-5151.' apa: 'Phuong, M., & Lampert, C. (2019). Towards understanding knowledge distillation. In Proceedings of the 36th International Conference on Machine Learning (Vol. 97, pp. 5142–5151). Long Beach, CA, United States: ML Research Press.' chicago: Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” In Proceedings of the 36th International Conference on Machine Learning, 97:5142–51. ML Research Press, 2019. ieee: M. Phuong and C. Lampert, “Towards understanding knowledge distillation,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, United States, 2019, vol. 97, pp. 5142–5151. ista: 'Phuong M, Lampert C. 2019. Towards understanding knowledge distillation. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 97, 5142–5151.' mla: Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” Proceedings of the 36th International Conference on Machine Learning, vol. 97, ML Research Press, 2019, pp. 5142–51. short: M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 5142–5151. conference: end_date: 2019-06-15 location: Long Beach, CA, United States name: 'ICML: International Conference on Machine Learning' start_date: 2019-06-10 date_created: 2019-06-20T18:23:03Z date_published: 2019-06-13T00:00:00Z date_updated: 2023-10-17T12:31:38Z day: '13' ddc: - '000' department: - _id: ChLa file: - access_level: open_access checksum: a66d00e2694d749250f8507f301320ca content_type: application/pdf creator: bphuong date_created: 2019-06-20T18:22:56Z date_updated: 2020-07-14T12:47:33Z file_id: '6570' file_name: paper.pdf file_size: 686432 relation: main_file file_date_updated: 2020-07-14T12:47:33Z has_accepted_license: '1' intvolume: ' 97' language: - iso: eng month: '06' oa: 1 oa_version: Published Version page: 5142-5151 publication: Proceedings of the 36th International Conference on Machine Learning publication_status: published publisher: ML Research Press quality_controlled: '1' scopus_import: '1' status: public title: Towards understanding knowledge distillation type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 97 year: '2019' ... --- _id: '6590' abstract: - lang: eng text: 'Modern machine learning methods often require more data for training than a single expert can provide. Therefore, it has become a standard procedure to collect data from external sources, e.g. via crowdsourcing. Unfortunately, the quality of these sources is not always guaranteed. As additional complications, the data might be stored in a distributed way, or might even have to remain private. In this work, we address the question of how to learn robustly in such scenarios. Studying the problem through the lens of statistical learning theory, we derive a procedure that allows for learning from all available sources, yet automatically suppresses irrelevant or corrupted data. We show by extensive experiments that our method provides significant improvements over alternative approaches from robust statistics and distributed optimization. ' article_processing_charge: No author: - first_name: Nikola H full_name: Konstantinov, Nikola H id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87 last_name: Konstantinov - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Konstantinov NH, Lampert C. Robust learning from untrusted sources. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:3488-3498.' apa: 'Konstantinov, N. H., & Lampert, C. (2019). Robust learning from untrusted sources. In Proceedings of the 36th International Conference on Machine Learning (Vol. 97, pp. 3488–3498). Long Beach, CA, USA: ML Research Press.' chicago: Konstantinov, Nikola H, and Christoph Lampert. “Robust Learning from Untrusted Sources.” In Proceedings of the 36th International Conference on Machine Learning, 97:3488–98. ML Research Press, 2019. ieee: N. H. Konstantinov and C. Lampert, “Robust learning from untrusted sources,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, USA, 2019, vol. 97, pp. 3488–3498. ista: 'Konstantinov NH, Lampert C. 2019. Robust learning from untrusted sources. Proceedings of the 36th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 97, 3488–3498.' mla: Konstantinov, Nikola H., and Christoph Lampert. “Robust Learning from Untrusted Sources.” Proceedings of the 36th International Conference on Machine Learning, vol. 97, ML Research Press, 2019, pp. 3488–98. short: N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 3488–3498. conference: end_date: 2919-06-15 location: Long Beach, CA, USA name: 'ICML: International Conference on Machine Learning' start_date: 2019-06-10 date_created: 2019-06-27T14:18:23Z date_published: 2019-06-01T00:00:00Z date_updated: 2023-10-17T12:31:55Z day: '01' department: - _id: ChLa ec_funded: 1 external_id: arxiv: - '1901.10310' intvolume: ' 97' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1901.10310 month: '06' oa: 1 oa_version: Preprint page: 3488-3498 project: - _id: 2532554C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '308036' name: Lifelong Learning of Visual Scene Understanding - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: Proceedings of the 36th International Conference on Machine Learning publication_status: published publisher: ML Research Press quality_controlled: '1' related_material: record: - id: '10799' relation: dissertation_contains status: public scopus_import: '1' status: public title: Robust learning from untrusted sources type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 97 year: '2019' ... --- _id: '6999' abstract: - lang: eng text: Plasmodesmata (PD) are plant-specific membrane-lined channels that create cytoplasmic and membrane continuities between adjacent cells, thereby facilitating cell–cell communication and virus movement. Plant cells have evolved diverse mechanisms to regulate PD plasticity in response to numerous environmental stimuli. In particular, during defense against plant pathogens, the defense hormone, salicylic acid (SA), plays a crucial role in the regulation of PD permeability in a callose-dependent manner. Here, we uncover a mechanism by which plants restrict the spreading of virus and PD cargoes using SA signaling by increasing lipid order and closure of PD. We showed that exogenous SA application triggered the compartmentalization of lipid raft nanodomains through a modulation of the lipid raft-regulatory protein, Remorin (REM). Genetic studies, superresolution imaging, and transmission electron microscopy observation together demonstrated that Arabidopsis REM1.2 and REM1.3 are crucial for plasma membrane nanodomain assembly to control PD aperture and functionality. In addition, we also found that a 14-3-3 epsilon protein modulates REM clustering and membrane nanodomain compartmentalization through its direct interaction with REM proteins. This study unveils a molecular mechanism by which the key plant defense hormone, SA, triggers membrane lipid nanodomain reorganization, thereby regulating PD closure to impede virus spreading. article_processing_charge: No article_type: original author: - first_name: D full_name: Huang, D last_name: Huang - first_name: Y full_name: Sun, Y last_name: Sun - first_name: Z full_name: Ma, Z last_name: Ma - first_name: M full_name: Ke, M last_name: Ke - first_name: Y full_name: Cui, Y last_name: Cui - first_name: Z full_name: Chen, Z last_name: Chen - first_name: C full_name: Chen, C last_name: Chen - first_name: C full_name: Ji, C last_name: Ji - first_name: TM full_name: Tran, TM last_name: Tran - first_name: L full_name: Yang, L last_name: Yang - first_name: SM full_name: Lam, SM last_name: Lam - first_name: Y full_name: Han, Y last_name: Han - first_name: G full_name: Shu, G last_name: Shu - first_name: Jiří full_name: Friml, Jiří id: 4159519E-F248-11E8-B48F-1D18A9856A87 last_name: Friml orcid: 0000-0002-8302-7596 - first_name: Y full_name: Miao, Y last_name: Miao - first_name: L full_name: Jiang, L last_name: Jiang - first_name: X full_name: Chen, X last_name: Chen citation: ama: Huang D, Sun Y, Ma Z, et al. Salicylic acid-mediated plasmodesmal closure via Remorin-dependent lipid organization. Proceedings of the National Academy of Sciences of the United States of America. 2019;116(42):21274-21284. doi:10.1073/pnas.1911892116 apa: Huang, D., Sun, Y., Ma, Z., Ke, M., Cui, Y., Chen, Z., … Chen, X. (2019). Salicylic acid-mediated plasmodesmal closure via Remorin-dependent lipid organization. Proceedings of the National Academy of Sciences of the United States of America. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1911892116 chicago: Huang, D, Y Sun, Z Ma, M Ke, Y Cui, Z Chen, C Chen, et al. “Salicylic Acid-Mediated Plasmodesmal Closure via Remorin-Dependent Lipid Organization.” Proceedings of the National Academy of Sciences of the United States of America. Proceedings of the National Academy of Sciences, 2019. https://doi.org/10.1073/pnas.1911892116. ieee: D. Huang et al., “Salicylic acid-mediated plasmodesmal closure via Remorin-dependent lipid organization,” Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 42. Proceedings of the National Academy of Sciences, pp. 21274–21284, 2019. ista: Huang D, Sun Y, Ma Z, Ke M, Cui Y, Chen Z, Chen C, Ji C, Tran T, Yang L, Lam S, Han Y, Shu G, Friml J, Miao Y, Jiang L, Chen X. 2019. Salicylic acid-mediated plasmodesmal closure via Remorin-dependent lipid organization. Proceedings of the National Academy of Sciences of the United States of America. 116(42), 21274–21284. mla: Huang, D., et al. “Salicylic Acid-Mediated Plasmodesmal Closure via Remorin-Dependent Lipid Organization.” Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 42, Proceedings of the National Academy of Sciences, 2019, pp. 21274–84, doi:10.1073/pnas.1911892116. short: D. Huang, Y. Sun, Z. Ma, M. Ke, Y. Cui, Z. Chen, C. Chen, C. Ji, T. Tran, L. Yang, S. Lam, Y. Han, G. Shu, J. Friml, Y. Miao, L. Jiang, X. Chen, Proceedings of the National Academy of Sciences of the United States of America 116 (2019) 21274–21284. date_created: 2019-11-12T11:42:05Z date_published: 2019-10-15T00:00:00Z date_updated: 2023-10-17T12:32:37Z day: '15' ddc: - '580' department: - _id: JiFr doi: 10.1073/pnas.1911892116 external_id: isi: - '000490183000068' pmid: - '31575745' file: - access_level: open_access checksum: 258c666bc6253eab81961f61169eefae content_type: application/pdf creator: dernst date_created: 2019-11-13T08:22:28Z date_updated: 2020-07-14T12:47:46Z file_id: '7012' file_name: 2019_PNAS_Huang.pdf file_size: 3287466 relation: main_file file_date_updated: 2020-07-14T12:47:46Z has_accepted_license: '1' intvolume: ' 116' isi: 1 issue: '42' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '10' oa: 1 oa_version: Published Version page: 21274-21284 pmid: 1 publication: Proceedings of the National Academy of Sciences of the United States of America publication_identifier: eissn: - 1091-6490 issn: - 0027-8424 publication_status: published publisher: Proceedings of the National Academy of Sciences quality_controlled: '1' related_material: link: - relation: erratum url: https://doi.org/10.1073/pnas.2004738117 scopus_import: '1' status: public title: Salicylic acid-mediated plasmodesmal closure via Remorin-dependent lipid organization tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 116 year: '2019' ...