--- _id: '16' abstract: - lang: eng text: We report quantitative evidence of mixing-layer elastic instability in a viscoelastic fluid flow between two widely spaced obstacles hindering a channel flow at Re 1 and Wi 1. Two mixing layers with nonuniform shear velocity profiles are formed in the region between the obstacles. The mixing-layer instability arises in the vicinity of an inflection point on the shear velocity profile with a steep variation in the elastic stress. The instability results in an intermittent appearance of small vortices in the mixing layers and an amplification of spatiotemporal averaged vorticity in the elastic turbulence regime. The latter is characterized through scaling of friction factor with Wi and both pressure and velocity spectra. Furthermore, the observations reported provide improved understanding of the stability of the mixing layer in a viscoelastic fluid at large elasticity, i.e., Wi 1 and Re 1 and oppose the current view of suppression of vorticity solely by polymer additives. acknowledgement: This work was partially supported by the Israel Science Foundation (ISF; Grant No. 882/15) and the Binational USA-Israel Foundation (BSF; Grant No. 2016145). article_number: '103303' article_processing_charge: No article_type: original author: - first_name: Atul full_name: Varshney, Atul id: 2A2006B2-F248-11E8-B48F-1D18A9856A87 last_name: Varshney orcid: 0000-0002-3072-5999 - first_name: Victor full_name: Steinberg, Victor last_name: Steinberg citation: ama: Varshney A, Steinberg V. Mixing layer instability and vorticity amplification in a creeping viscoelastic flow. Physical Review Fluids. 2018;3(10). doi:10.1103/PhysRevFluids.3.103303 apa: Varshney, A., & Steinberg, V. (2018). Mixing layer instability and vorticity amplification in a creeping viscoelastic flow. Physical Review Fluids. American Physical Society. https://doi.org/10.1103/PhysRevFluids.3.103303 chicago: Varshney, Atul, and Victor Steinberg. “Mixing Layer Instability and Vorticity Amplification in a Creeping Viscoelastic Flow.” Physical Review Fluids. American Physical Society, 2018. https://doi.org/10.1103/PhysRevFluids.3.103303. ieee: A. Varshney and V. Steinberg, “Mixing layer instability and vorticity amplification in a creeping viscoelastic flow,” Physical Review Fluids, vol. 3, no. 10. American Physical Society, 2018. ista: Varshney A, Steinberg V. 2018. Mixing layer instability and vorticity amplification in a creeping viscoelastic flow. Physical Review Fluids. 3(10), 103303. mla: Varshney, Atul, and Victor Steinberg. “Mixing Layer Instability and Vorticity Amplification in a Creeping Viscoelastic Flow.” Physical Review Fluids, vol. 3, no. 10, 103303, American Physical Society, 2018, doi:10.1103/PhysRevFluids.3.103303. short: A. Varshney, V. Steinberg, Physical Review Fluids 3 (2018). date_created: 2018-12-11T11:44:10Z date_published: 2018-10-16T00:00:00Z date_updated: 2023-09-13T08:57:05Z day: '16' ddc: - '532' department: - _id: BjHo doi: 10.1103/PhysRevFluids.3.103303 ec_funded: 1 external_id: isi: - '000447469200001' file: - access_level: open_access checksum: 7fc0a2322214d1c04debef36d5bf2e8a content_type: application/pdf creator: system date_created: 2018-12-12T10:13:56Z date_updated: 2020-07-14T12:45:04Z file_id: '5043' file_name: IST-2018-1062-v1+1_PhysRevFluids.3.103303.pdf file_size: 1838431 relation: main_file file_date_updated: 2020-07-14T12:45:04Z has_accepted_license: '1' intvolume: ' 3' isi: 1 issue: '10' language: - iso: eng month: '10' oa: 1 oa_version: Submitted Version project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Physical Review Fluids publication_status: published publisher: American Physical Society publist_id: '8039' pubrep_id: '1062' quality_controlled: '1' scopus_import: '1' status: public title: Mixing layer instability and vorticity amplification in a creeping viscoelastic flow type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 3 year: '2018' ... --- _id: '43' abstract: - lang: eng text: 'The initial amount of pathogens required to start an infection within a susceptible host is called the infective dose and is known to vary to a large extent between different pathogen species. We investigate the hypothesis that the differences in infective doses are explained by the mode of action in the underlying mechanism of pathogenesis: Pathogens with locally acting mechanisms tend to have smaller infective doses than pathogens with distantly acting mechanisms. While empirical evidence tends to support the hypothesis, a formal theoretical explanation has been lacking. We give simple analytical models to gain insight into this phenomenon and also investigate a stochastic, spatially explicit, mechanistic within-host model for toxin-dependent bacterial infections. The model shows that pathogens secreting locally acting toxins have smaller infective doses than pathogens secreting diffusive toxins, as hypothesized. While local pathogenetic mechanisms require smaller infective doses, pathogens with distantly acting toxins tend to spread faster and may cause more damage to the host. The proposed model can serve as a basis for the spatially explicit analysis of various virulence factors also in the context of other problems in infection dynamics.' acknowledgement: J.R. and J.V.A. were also supported by the Academy of Finland Grants 1273253 and 267541. article_processing_charge: No author: - first_name: Joel full_name: Rybicki, Joel id: 334EFD2E-F248-11E8-B48F-1D18A9856A87 last_name: Rybicki orcid: 0000-0002-6432-6646 - first_name: Eva full_name: Kisdi, Eva last_name: Kisdi - first_name: Jani full_name: Anttila, Jani last_name: Anttila citation: ama: Rybicki J, Kisdi E, Anttila J. Model of bacterial toxin-dependent pathogenesis explains infective dose. PNAS. 2018;115(42):10690-10695. doi:10.1073/pnas.1721061115 apa: Rybicki, J., Kisdi, E., & Anttila, J. (2018). Model of bacterial toxin-dependent pathogenesis explains infective dose. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1721061115 chicago: Rybicki, Joel, Eva Kisdi, and Jani Anttila. “Model of Bacterial Toxin-Dependent Pathogenesis Explains Infective Dose.” PNAS. National Academy of Sciences, 2018. https://doi.org/10.1073/pnas.1721061115. ieee: J. Rybicki, E. Kisdi, and J. Anttila, “Model of bacterial toxin-dependent pathogenesis explains infective dose,” PNAS, vol. 115, no. 42. National Academy of Sciences, pp. 10690–10695, 2018. ista: Rybicki J, Kisdi E, Anttila J. 2018. Model of bacterial toxin-dependent pathogenesis explains infective dose. PNAS. 115(42), 10690–10695. mla: Rybicki, Joel, et al. “Model of Bacterial Toxin-Dependent Pathogenesis Explains Infective Dose.” PNAS, vol. 115, no. 42, National Academy of Sciences, 2018, pp. 10690–95, doi:10.1073/pnas.1721061115. short: J. Rybicki, E. Kisdi, J. Anttila, PNAS 115 (2018) 10690–10695. date_created: 2018-12-11T11:44:19Z date_published: 2018-10-02T00:00:00Z date_updated: 2023-09-13T08:57:38Z day: '02' ddc: - '570' - '577' department: - _id: DaAl doi: 10.1073/pnas.1721061115 ec_funded: 1 external_id: isi: - '000447491300057' file: - access_level: open_access checksum: df7ac544a587c06b75692653b9fabd18 content_type: application/pdf creator: dernst date_created: 2019-04-09T08:02:50Z date_updated: 2020-07-14T12:46:26Z file_id: '6258' file_name: 2018_PNAS_Rybicki.pdf file_size: 4070777 relation: main_file file_date_updated: 2020-07-14T12:46:26Z has_accepted_license: '1' intvolume: ' 115' isi: 1 issue: '42' language: - iso: eng month: '10' oa: 1 oa_version: Submitted Version page: 10690 - 10695 project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: PNAS publication_status: published publisher: National Academy of Sciences publist_id: '8011' pubrep_id: '1063' quality_controlled: '1' scopus_import: '1' status: public title: Model of bacterial toxin-dependent pathogenesis explains infective dose type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 115 year: '2018' ... --- _id: '13' abstract: - lang: eng text: We propose a new method for fabricating digital objects through reusable silicone molds. Molds are generated by casting liquid silicone into custom 3D printed containers called metamolds. Metamolds automatically define the cuts that are needed to extract the cast object from the silicone mold. The shape of metamolds is designed through a novel segmentation technique, which takes into account both geometric and topological constraints involved in the process of mold casting. Our technique is simple, does not require changing the shape or topology of the input objects, and only requires off-the- shelf materials and technologies. We successfully tested our method on a set of challenging examples with complex shapes and rich geometric detail. © 2018 Association for Computing Machinery. article_number: '136' article_processing_charge: No author: - first_name: Thomas full_name: Alderighi, Thomas last_name: Alderighi - first_name: Luigi full_name: Malomo, Luigi last_name: Malomo - first_name: Daniela full_name: Giorgi, Daniela last_name: Giorgi - first_name: Nico full_name: Pietroni, Nico last_name: Pietroni - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 - first_name: Paolo full_name: Cignoni, Paolo last_name: Cignoni citation: ama: 'Alderighi T, Malomo L, Giorgi D, Pietroni N, Bickel B, Cignoni P. Metamolds: Computational design of silicone molds. ACM Trans Graph. 2018;37(4). doi:10.1145/3197517.3201381' apa: 'Alderighi, T., Malomo, L., Giorgi, D., Pietroni, N., Bickel, B., & Cignoni, P. (2018). Metamolds: Computational design of silicone molds. ACM Trans. Graph. ACM. https://doi.org/10.1145/3197517.3201381' chicago: 'Alderighi, Thomas, Luigi Malomo, Daniela Giorgi, Nico Pietroni, Bernd Bickel, and Paolo Cignoni. “Metamolds: Computational Design of Silicone Molds.” ACM Trans. Graph. ACM, 2018. https://doi.org/10.1145/3197517.3201381.' ieee: 'T. Alderighi, L. Malomo, D. Giorgi, N. Pietroni, B. Bickel, and P. Cignoni, “Metamolds: Computational design of silicone molds,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018.' ista: 'Alderighi T, Malomo L, Giorgi D, Pietroni N, Bickel B, Cignoni P. 2018. Metamolds: Computational design of silicone molds. ACM Trans. Graph. 37(4), 136.' mla: 'Alderighi, Thomas, et al. “Metamolds: Computational Design of Silicone Molds.” ACM Trans. Graph., vol. 37, no. 4, 136, ACM, 2018, doi:10.1145/3197517.3201381.' short: T. Alderighi, L. Malomo, D. Giorgi, N. Pietroni, B. Bickel, P. Cignoni, ACM Trans. Graph. 37 (2018). date_created: 2018-12-11T11:44:09Z date_published: 2018-08-04T00:00:00Z date_updated: 2023-09-13T08:56:07Z day: '04' ddc: - '004' department: - _id: BeBi doi: 10.1145/3197517.3201381 ec_funded: 1 external_id: isi: - '000448185000097' file: - access_level: open_access checksum: 61d46273dca4de626accef1d17a0aaad content_type: application/pdf creator: system date_created: 2018-12-12T10:18:52Z date_updated: 2020-07-14T12:44:43Z file_id: '5374' file_name: IST-2018-1038-v1+1_metamolds_authorversion.pdf file_size: 91939066 relation: main_file file_date_updated: 2020-07-14T12:44:43Z has_accepted_license: '1' intvolume: ' 37' isi: 1 issue: '4' language: - iso: eng month: '08' oa: 1 oa_version: Submitted Version project: - _id: 24F9549A-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715767' name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling' publication: ACM Trans. Graph. publication_status: published publisher: ACM publist_id: '8043' pubrep_id: '1038' quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/metamolds-molding-a-mold/ scopus_import: '1' status: public title: 'Metamolds: Computational design of silicone molds' type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 37 year: '2018' ... --- _id: '137' abstract: - lang: eng text: Fluorescent sensors are an essential part of the experimental toolbox of the life sciences, where they are used ubiquitously to visualize intra- and extracellular signaling. In the brain, optical neurotransmitter sensors can shed light on temporal and spatial aspects of signal transmission by directly observing, for instance, neurotransmitter release and spread. Here we report the development and application of the first optical sensor for the amino acid glycine, which is both an inhibitory neurotransmitter and a co-agonist of the N-methyl-d-aspartate receptors (NMDARs) involved in synaptic plasticity. Computational design of a glycine-specific binding protein allowed us to produce the optical glycine FRET sensor (GlyFS), which can be used with single and two-photon excitation fluorescence microscopy. We took advantage of this newly developed sensor to test predictions about the uneven spatial distribution of glycine in extracellular space and to demonstrate that extracellular glycine levels are controlled by plasticity-inducing stimuli. article_processing_charge: No article_type: original author: - first_name: William full_name: Zhang, William last_name: Zhang - first_name: Michel full_name: Herde, Michel last_name: Herde - first_name: Joshua full_name: Mitchell, Joshua last_name: Mitchell - first_name: Jason full_name: Whitfield, Jason last_name: Whitfield - first_name: Andreas full_name: Wulff, Andreas last_name: Wulff - first_name: Vanessa full_name: Vongsouthi, Vanessa last_name: Vongsouthi - first_name: Inmaculada full_name: Sanchez Romero, Inmaculada id: 3D9C5D30-F248-11E8-B48F-1D18A9856A87 last_name: Sanchez Romero - first_name: Polina full_name: Gulakova, Polina last_name: Gulakova - first_name: Daniel full_name: Minge, Daniel last_name: Minge - first_name: Björn full_name: Breithausen, Björn last_name: Breithausen - first_name: Susanne full_name: Schoch, Susanne last_name: Schoch - first_name: Harald L full_name: Janovjak, Harald L id: 33BA6C30-F248-11E8-B48F-1D18A9856A87 last_name: Janovjak orcid: 0000-0002-8023-9315 - first_name: Colin full_name: Jackson, Colin last_name: Jackson - first_name: Christian full_name: Henneberger, Christian last_name: Henneberger citation: ama: Zhang W, Herde M, Mitchell J, et al. Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS. Nature Chemical Biology. 2018;14(9):861-869. doi:10.1038/s41589-018-0108-2 apa: Zhang, W., Herde, M., Mitchell, J., Whitfield, J., Wulff, A., Vongsouthi, V., … Henneberger, C. (2018). Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS. Nature Chemical Biology. Nature Publishing Group. https://doi.org/10.1038/s41589-018-0108-2 chicago: Zhang, William, Michel Herde, Joshua Mitchell, Jason Whitfield, Andreas Wulff, Vanessa Vongsouthi, Inmaculada Sanchez-Romero, et al. “Monitoring Hippocampal Glycine with the Computationally Designed Optical Sensor GlyFS.” Nature Chemical Biology. Nature Publishing Group, 2018. https://doi.org/10.1038/s41589-018-0108-2. ieee: W. Zhang et al., “Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS,” Nature Chemical Biology, vol. 14, no. 9. Nature Publishing Group, pp. 861–869, 2018. ista: Zhang W, Herde M, Mitchell J, Whitfield J, Wulff A, Vongsouthi V, Sanchez-Romero I, Gulakova P, Minge D, Breithausen B, Schoch S, Janovjak HL, Jackson C, Henneberger C. 2018. Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS. Nature Chemical Biology. 14(9), 861–869. mla: Zhang, William, et al. “Monitoring Hippocampal Glycine with the Computationally Designed Optical Sensor GlyFS.” Nature Chemical Biology, vol. 14, no. 9, Nature Publishing Group, 2018, pp. 861–69, doi:10.1038/s41589-018-0108-2. short: W. Zhang, M. Herde, J. Mitchell, J. Whitfield, A. Wulff, V. Vongsouthi, I. Sanchez-Romero, P. Gulakova, D. Minge, B. Breithausen, S. Schoch, H.L. Janovjak, C. Jackson, C. Henneberger, Nature Chemical Biology 14 (2018) 861–869. date_created: 2018-12-11T11:44:49Z date_published: 2018-07-30T00:00:00Z date_updated: 2023-09-13T08:58:05Z day: '30' department: - _id: HaJa doi: 10.1038/s41589-018-0108-2 external_id: isi: - '000442174500013' pmid: - '30061718 ' intvolume: ' 14' isi: 1 issue: '9' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pubmed/30061718 month: '07' oa: 1 oa_version: Submitted Version page: 861 - 869 pmid: 1 project: - _id: 255BFFFA-B435-11E9-9278-68D0E5697425 grant_number: RGY0084/2012 name: In situ real-time imaging of neurotransmitter signaling using designer optical sensors (HFSP Young Investigator) publication: Nature Chemical Biology publication_status: published publisher: Nature Publishing Group publist_id: '7786' quality_controlled: '1' scopus_import: '1' status: public title: Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 14 year: '2018' ... --- _id: '153' abstract: - lang: eng text: Cells migrating in multicellular organisms steadily traverse complex three-dimensional (3D) environments. To decipher the underlying cell biology, current experimental setups either use simplified 2D, tissue-mimetic 3D (e.g., collagen matrices) or in vivo environments. While only in vivo experiments are truly physiological, they do not allow for precise manipulation of environmental parameters. 2D in vitro experiments do allow mechanical and chemical manipulations, but increasing evidence demonstrates substantial differences of migratory mechanisms in 2D and 3D. Here, we describe simple, robust, and versatile “pillar forests” to investigate cell migration in complex but fully controllable 3D environments. Pillar forests are polydimethylsiloxane-based setups, in which two closely adjacent surfaces are interconnected by arrays of micrometer-sized pillars. Changing the pillar shape, size, height and the inter-pillar distance precisely manipulates microenvironmental parameters (e.g., pore sizes, micro-geometry, micro-topology), while being easily combined with chemotactic cues, surface coatings, diverse cell types and advanced imaging techniques. Thus, pillar forests combine the advantages of 2D cell migration assays with the precise definition of 3D environmental parameters. article_processing_charge: No author: - first_name: Jörg full_name: Renkawitz, Jörg id: 3F0587C8-F248-11E8-B48F-1D18A9856A87 last_name: Renkawitz orcid: 0000-0003-2856-3369 - first_name: Anne full_name: Reversat, Anne id: 35B76592-F248-11E8-B48F-1D18A9856A87 last_name: Reversat orcid: 0000-0003-0666-8928 - first_name: Alexander F full_name: Leithner, Alexander F id: 3B1B77E4-F248-11E8-B48F-1D18A9856A87 last_name: Leithner orcid: 0000-0002-1073-744X - first_name: Jack full_name: Merrin, Jack id: 4515C308-F248-11E8-B48F-1D18A9856A87 last_name: Merrin orcid: 0000-0001-5145-4609 - first_name: Michael K full_name: Sixt, Michael K id: 41E9FBEA-F248-11E8-B48F-1D18A9856A87 last_name: Sixt orcid: 0000-0002-6620-9179 citation: ama: 'Renkawitz J, Reversat A, Leithner AF, Merrin J, Sixt MK. Micro-engineered “pillar forests” to study cell migration in complex but controlled 3D environments. In: Methods in Cell Biology. Vol 147. Academic Press; 2018:79-91. doi:10.1016/bs.mcb.2018.07.004' apa: Renkawitz, J., Reversat, A., Leithner, A. F., Merrin, J., & Sixt, M. K. (2018). Micro-engineered “pillar forests” to study cell migration in complex but controlled 3D environments. In Methods in Cell Biology (Vol. 147, pp. 79–91). Academic Press. https://doi.org/10.1016/bs.mcb.2018.07.004 chicago: Renkawitz, Jörg, Anne Reversat, Alexander F Leithner, Jack Merrin, and Michael K Sixt. “Micro-Engineered ‘Pillar Forests’ to Study Cell Migration in Complex but Controlled 3D Environments.” In Methods in Cell Biology, 147:79–91. Academic Press, 2018. https://doi.org/10.1016/bs.mcb.2018.07.004. ieee: J. Renkawitz, A. Reversat, A. F. Leithner, J. Merrin, and M. K. Sixt, “Micro-engineered ‘pillar forests’ to study cell migration in complex but controlled 3D environments,” in Methods in Cell Biology, vol. 147, Academic Press, 2018, pp. 79–91. ista: 'Renkawitz J, Reversat A, Leithner AF, Merrin J, Sixt MK. 2018.Micro-engineered “pillar forests” to study cell migration in complex but controlled 3D environments. In: Methods in Cell Biology. vol. 147, 79–91.' mla: Renkawitz, Jörg, et al. “Micro-Engineered ‘Pillar Forests’ to Study Cell Migration in Complex but Controlled 3D Environments.” Methods in Cell Biology, vol. 147, Academic Press, 2018, pp. 79–91, doi:10.1016/bs.mcb.2018.07.004. short: J. Renkawitz, A. Reversat, A.F. Leithner, J. Merrin, M.K. Sixt, in:, Methods in Cell Biology, Academic Press, 2018, pp. 79–91. date_created: 2018-12-11T11:44:54Z date_published: 2018-07-27T00:00:00Z date_updated: 2023-09-13T08:56:35Z day: '27' department: - _id: MiSi - _id: NanoFab doi: 10.1016/bs.mcb.2018.07.004 external_id: isi: - '000452412300006' pmid: - '30165964' intvolume: ' 147' isi: 1 language: - iso: eng month: '07' oa_version: None page: 79 - 91 pmid: 1 publication: Methods in Cell Biology publication_identifier: issn: - 0091679X publication_status: published publisher: Academic Press publist_id: '7768' quality_controlled: '1' scopus_import: '1' status: public title: Micro-engineered “pillar forests” to study cell migration in complex but controlled 3D environments type: book_chapter user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 147 year: '2018' ...