---
_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'
...