---
_id: '150'
abstract:
- lang: eng
text: A short, 14-amino-acid segment called SP1, located in the Gag structural protein1,
has a critical role during the formation of the HIV-1 virus particle. During virus
assembly, the SP1 peptide and seven preceding residues fold into a six-helix bundle,
which holds together the Gag hexamer and facilitates the formation of a curved
immature hexagonal lattice underneath the viral membrane2,3. Upon completion of
assembly and budding, proteolytic cleavage of Gag leads to virus maturation, in
which the immature lattice is broken down; the liberated CA domain of Gag then
re-assembles into the mature conical capsid that encloses the viral genome and
associated enzymes. Folding and proteolysis of the six-helix bundle are crucial
rate-limiting steps of both Gag assembly and disassembly, and the six-helix bundle
is an established target of HIV-1 inhibitors4,5. Here, using a combination of
structural and functional analyses, we show that inositol hexakisphosphate (InsP6,
also known as IP6) facilitates the formation of the six-helix bundle and assembly
of the immature HIV-1 Gag lattice. IP6 makes ionic contacts with two rings of
lysine residues at the centre of the Gag hexamer. Proteolytic cleavage then unmasks
an alternative binding site, where IP6 interaction promotes the assembly of the
mature capsid lattice. These studies identify IP6 as a naturally occurring small
molecule that promotes both assembly and maturation of HIV-1.
article_processing_charge: No
article_type: original
author:
- first_name: Robert
full_name: Dick, Robert
last_name: Dick
- first_name: Kaneil K
full_name: Zadrozny, Kaneil K
last_name: Zadrozny
- first_name: Chaoyi
full_name: Xu, Chaoyi
last_name: Xu
- first_name: Florian
full_name: Schur, Florian
id: 48AD8942-F248-11E8-B48F-1D18A9856A87
last_name: Schur
orcid: 0000-0003-4790-8078
- first_name: Terri D
full_name: Lyddon, Terri D
last_name: Lyddon
- first_name: Clifton L
full_name: Ricana, Clifton L
last_name: Ricana
- first_name: Jonathan M
full_name: Wagner, Jonathan M
last_name: Wagner
- first_name: Juan R
full_name: Perilla, Juan R
last_name: Perilla
- first_name: Pornillos Barbie K
full_name: Ganser, Pornillos Barbie K
last_name: Ganser
- first_name: Marc C
full_name: Johnson, Marc C
last_name: Johnson
- first_name: Owen
full_name: Pornillos, Owen
last_name: Pornillos
- first_name: Volker
full_name: Vogt, Volker
last_name: Vogt
citation:
ama: Dick R, Zadrozny KK, Xu C, et al. Inositol phosphates are assembly co-factors
for HIV-1. Nature. 2018;560(7719):509–512. doi:10.1038/s41586-018-0396-4
apa: Dick, R., Zadrozny, K. K., Xu, C., Schur, F. K., Lyddon, T. D., Ricana, C.
L., … Vogt, V. (2018). Inositol phosphates are assembly co-factors for HIV-1.
Nature. Nature Publishing Group. https://doi.org/10.1038/s41586-018-0396-4
chicago: Dick, Robert, Kaneil K Zadrozny, Chaoyi Xu, Florian KM Schur, Terri D Lyddon,
Clifton L Ricana, Jonathan M Wagner, et al. “Inositol Phosphates Are Assembly
Co-Factors for HIV-1.” Nature. Nature Publishing Group, 2018. https://doi.org/10.1038/s41586-018-0396-4.
ieee: R. Dick et al., “Inositol phosphates are assembly co-factors for HIV-1,”
Nature, vol. 560, no. 7719. Nature Publishing Group, pp. 509–512, 2018.
ista: Dick R, Zadrozny KK, Xu C, Schur FK, Lyddon TD, Ricana CL, Wagner JM, Perilla
JR, Ganser PBK, Johnson MC, Pornillos O, Vogt V. 2018. Inositol phosphates are
assembly co-factors for HIV-1. Nature. 560(7719), 509–512.
mla: Dick, Robert, et al. “Inositol Phosphates Are Assembly Co-Factors for HIV-1.”
Nature, vol. 560, no. 7719, Nature Publishing Group, 2018, pp. 509–512,
doi:10.1038/s41586-018-0396-4.
short: R. Dick, K.K. Zadrozny, C. Xu, F.K. Schur, T.D. Lyddon, C.L. Ricana, J.M.
Wagner, J.R. Perilla, P.B.K. Ganser, M.C. Johnson, O. Pornillos, V. Vogt, Nature
560 (2018) 509–512.
date_created: 2018-12-11T11:44:53Z
date_published: 2018-08-29T00:00:00Z
date_updated: 2023-09-12T07:44:37Z
day: '29'
department:
- _id: FlSc
doi: 10.1038/s41586-018-0396-4
external_id:
isi:
- '000442483400046'
pmid:
- '30158708'
intvolume: ' 560'
isi: 1
issue: '7719'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242333/
month: '08'
oa: 1
oa_version: Submitted Version
page: 509–512
pmid: 1
publication: Nature
publication_identifier:
eissn:
- 1476-4687
publication_status: published
publisher: Nature Publishing Group
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1038/s41586-018-0505-4
scopus_import: '1'
status: public
title: Inositol phosphates are assembly co-factors for HIV-1
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 560
year: '2018'
...
---
_id: '303'
abstract:
- lang: eng
text: The theory of tropical series, that we develop here, firstly appeared in the
study of the growth of pluriharmonic functions. Motivated by waves in sandpile
models we introduce a dynamic on the set of tropical series, and it is experimentally
observed that this dynamic obeys a power law. So, this paper serves as a compilation
of results we need for other articles and also introduces several objects interesting
by themselves.
acknowledgement: The first author, Nikita Kalinin, is funded by SNCF PostDoc.Mobility
grant 168647. Support from the Basic Research Program of the National Research University
Higher School of Economics is gratefully acknowledged. The second author, Mikhail
Shkolnikov, is supported in part by the grant 159240 of the Swiss National Science
Foundation as well as by the National Center of Competence in Research SwissMAP
of the Swiss National Science Foundation.
article_processing_charge: No
author:
- first_name: Nikita
full_name: Kalinin, Nikita
last_name: Kalinin
- first_name: Mikhail
full_name: Shkolnikov, Mikhail
id: 35084A62-F248-11E8-B48F-1D18A9856A87
last_name: Shkolnikov
orcid: 0000-0002-4310-178X
citation:
ama: Kalinin N, Shkolnikov M. Introduction to tropical series and wave dynamic on
them. Discrete and Continuous Dynamical Systems- Series A. 2018;38(6):2827-2849.
doi:10.3934/dcds.2018120
apa: Kalinin, N., & Shkolnikov, M. (2018). Introduction to tropical series and
wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A.
AIMS. https://doi.org/10.3934/dcds.2018120
chicago: Kalinin, Nikita, and Mikhail Shkolnikov. “Introduction to Tropical Series
and Wave Dynamic on Them.” Discrete and Continuous Dynamical Systems- Series
A. AIMS, 2018. https://doi.org/10.3934/dcds.2018120.
ieee: N. Kalinin and M. Shkolnikov, “Introduction to tropical series and wave dynamic
on them,” Discrete and Continuous Dynamical Systems- Series A, vol. 38,
no. 6. AIMS, pp. 2827–2849, 2018.
ista: Kalinin N, Shkolnikov M. 2018. Introduction to tropical series and wave dynamic
on them. Discrete and Continuous Dynamical Systems- Series A. 38(6), 2827–2849.
mla: Kalinin, Nikita, and Mikhail Shkolnikov. “Introduction to Tropical Series and
Wave Dynamic on Them.” Discrete and Continuous Dynamical Systems- Series A,
vol. 38, no. 6, AIMS, 2018, pp. 2827–49, doi:10.3934/dcds.2018120.
short: N. Kalinin, M. Shkolnikov, Discrete and Continuous Dynamical Systems- Series
A 38 (2018) 2827–2849.
date_created: 2018-12-11T11:45:43Z
date_published: 2018-06-01T00:00:00Z
date_updated: 2023-09-12T07:45:37Z
day: '01'
department:
- _id: TaHa
doi: 10.3934/dcds.2018120
external_id:
arxiv:
- '1706.03062'
isi:
- '000438818400007'
intvolume: ' 38'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1706.03062
month: '06'
oa: 1
oa_version: Submitted Version
page: 2827 - 2849
publication: Discrete and Continuous Dynamical Systems- Series A
publication_status: published
publisher: AIMS
publist_id: '7576'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Introduction to tropical series and wave dynamic on them
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 38
year: '2018'
...
---
_id: '14202'
abstract:
- lang: eng
text: "Approximating a probability density in a tractable manner is a central task\r\nin
Bayesian statistics. Variational Inference (VI) is a popular technique that\r\nachieves
tractability by choosing a relatively simple variational family.\r\nBorrowing
ideas from the classic boosting framework, recent approaches attempt\r\nto \\emph{boost}
VI by replacing the selection of a single density with a\r\ngreedily constructed
mixture of densities. In order to guarantee convergence,\r\nprevious works impose
stringent assumptions that require significant effort for\r\npractitioners. Specifically,
they require a custom implementation of the greedy\r\nstep (called the LMO) for
every probabilistic model with respect to an\r\nunnatural variational family of
truncated distributions. Our work fixes these\r\nissues with novel theoretical
and algorithmic insights. On the theoretical\r\nside, we show that boosting VI
satisfies a relaxed smoothness assumption which\r\nis sufficient for the convergence
of the functional Frank-Wolfe (FW) algorithm.\r\nFurthermore, we rephrase the
LMO problem and propose to maximize the Residual\r\nELBO (RELBO) which replaces
the standard ELBO optimization in VI. These\r\ntheoretical enhancements allow
for black box implementation of the boosting\r\nsubroutine. Finally, we present
a stopping criterion drawn from the duality gap\r\nin the classic FW analyses
and exhaustive experiments to illustrate the\r\nusefulness of our theoretical
and algorithmic contributions."
article_processing_charge: No
author:
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Gideon
full_name: Dresdner, Gideon
last_name: Dresdner
- first_name: Rajiv
full_name: Khanna, Rajiv
last_name: Khanna
- first_name: Isabel
full_name: Valera, Isabel
last_name: Valera
- first_name: Gunnar
full_name: Rätsch, Gunnar
last_name: Rätsch
citation:
ama: 'Locatello F, Dresdner G, Khanna R, Valera I, Rätsch G. Boosting black box
variational inference. In: Advances in Neural Information Processing Systems.
Vol 31. Neural Information Processing Systems Foundation; 2018.'
apa: 'Locatello, F., Dresdner, G., Khanna, R., Valera, I., & Rätsch, G. (2018).
Boosting black box variational inference. In Advances in Neural Information
Processing Systems (Vol. 31). Montreal, Canada: Neural Information Processing
Systems Foundation.'
chicago: Locatello, Francesco, Gideon Dresdner, Rajiv Khanna, Isabel Valera, and
Gunnar Rätsch. “Boosting Black Box Variational Inference.” In Advances in Neural
Information Processing Systems, Vol. 31. Neural Information Processing Systems
Foundation, 2018.
ieee: F. Locatello, G. Dresdner, R. Khanna, I. Valera, and G. Rätsch, “Boosting
black box variational inference,” in Advances in Neural Information Processing
Systems, Montreal, Canada, 2018, vol. 31.
ista: 'Locatello F, Dresdner G, Khanna R, Valera I, Rätsch G. 2018. Boosting black
box variational inference. Advances in Neural Information Processing Systems.
NeurIPS: Neural Information Processing Systems vol. 31.'
mla: Locatello, Francesco, et al. “Boosting Black Box Variational Inference.” Advances
in Neural Information Processing Systems, vol. 31, Neural Information Processing
Systems Foundation, 2018.
short: F. Locatello, G. Dresdner, R. Khanna, I. Valera, G. Rätsch, in:, Advances
in Neural Information Processing Systems, Neural Information Processing Systems
Foundation, 2018.
conference:
end_date: 2018-12-08
location: Montreal, Canada
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2018-12-03
date_created: 2023-08-22T14:15:40Z
date_published: 2018-06-06T00:00:00Z
date_updated: 2023-09-13T07:38:24Z
day: '06'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1806.02185'
intvolume: ' 31'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1806.02185
month: '06'
oa: 1
oa_version: Preprint
publication: Advances in Neural Information Processing Systems
publication_identifier:
eissn:
- 1049-5258
isbn:
- '9781510884472'
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
scopus_import: '1'
status: public
title: Boosting black box variational inference
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 31
year: '2018'
...
---
_id: '14201'
abstract:
- lang: eng
text: "Variational inference is a popular technique to approximate a possibly\r\nintractable
Bayesian posterior with a more tractable one. Recently, boosting\r\nvariational
inference has been proposed as a new paradigm to approximate the\r\nposterior
by a mixture of densities by greedily adding components to the\r\nmixture. However,
as is the case with many other variational inference\r\nalgorithms, its theoretical
properties have not been studied. In the present\r\nwork, we study the convergence
properties of this approach from a modern\r\noptimization viewpoint by establishing
connections to the classic Frank-Wolfe\r\nalgorithm. Our analyses yields novel
theoretical insights regarding the\r\nsufficient conditions for convergence, explicit
rates, and algorithmic\r\nsimplifications. Since a lot of focus in previous works
for variational\r\ninference has been on tractability, our work is especially
important as a much\r\nneeded attempt to bridge the gap between probabilistic
models and their\r\ncorresponding theoretical properties."
alternative_title:
- PMLR
article_processing_charge: No
author:
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Rajiv
full_name: Khanna, Rajiv
last_name: Khanna
- first_name: Joydeep
full_name: Ghosh, Joydeep
last_name: Ghosh
- first_name: Gunnar
full_name: Rätsch, Gunnar
last_name: Rätsch
citation:
ama: 'Locatello F, Khanna R, Ghosh J, Rätsch G. Boosting variational inference:
An optimization perspective. In: Proceedings of the 21st International Conference
on Artificial Intelligence and Statistics. Vol 84. ML Research Press; 2018:464-472.'
apa: 'Locatello, F., Khanna, R., Ghosh, J., & Rätsch, G. (2018). Boosting variational
inference: An optimization perspective. In Proceedings of the 21st International
Conference on Artificial Intelligence and Statistics (Vol. 84, pp. 464–472).
Playa Blanca, Lanzarote: ML Research Press.'
chicago: 'Locatello, Francesco, Rajiv Khanna, Joydeep Ghosh, and Gunnar Rätsch.
“Boosting Variational Inference: An Optimization Perspective.” In Proceedings
of the 21st International Conference on Artificial Intelligence and Statistics,
84:464–72. ML Research Press, 2018.'
ieee: 'F. Locatello, R. Khanna, J. Ghosh, and G. Rätsch, “Boosting variational inference:
An optimization perspective,” in Proceedings of the 21st International Conference
on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, 2018,
vol. 84, pp. 464–472.'
ista: 'Locatello F, Khanna R, Ghosh J, Rätsch G. 2018. Boosting variational inference:
An optimization perspective. Proceedings of the 21st International Conference
on Artificial Intelligence and Statistics. AISTATS: Conference on Artificial Intelligence
and Statistics, PMLR, vol. 84, 464–472.'
mla: 'Locatello, Francesco, et al. “Boosting Variational Inference: An Optimization
Perspective.” Proceedings of the 21st International Conference on Artificial
Intelligence and Statistics, vol. 84, ML Research Press, 2018, pp. 464–72.'
short: F. Locatello, R. Khanna, J. Ghosh, G. Rätsch, in:, Proceedings of the 21st
International Conference on Artificial Intelligence and Statistics, ML Research
Press, 2018, pp. 464–472.
conference:
end_date: 2018-04-11
location: Playa Blanca, Lanzarote
name: 'AISTATS: Conference on Artificial Intelligence and Statistics'
start_date: 2018-04-09
date_created: 2023-08-22T14:15:20Z
date_published: 2018-04-15T00:00:00Z
date_updated: 2023-09-13T07:52:40Z
day: '15'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1708.01733'
intvolume: ' 84'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1708.01733
month: '04'
oa: 1
oa_version: Preprint
page: 464-472
publication: Proceedings of the 21st International Conference on Artificial Intelligence
and Statistics
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Boosting variational inference: An optimization perspective'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 84
year: '2018'
...
---
_id: '14198'
abstract:
- lang: eng
text: "High-dimensional time series are common in many domains. Since human\r\ncognition
is not optimized to work well in high-dimensional spaces, these areas\r\ncould
benefit from interpretable low-dimensional representations. However, most\r\nrepresentation
learning algorithms for time series data are difficult to\r\ninterpret. This is
due to non-intuitive mappings from data features to salient\r\nproperties of the
representation and non-smoothness over time. To address this\r\nproblem, we propose
a new representation learning framework building on ideas\r\nfrom interpretable
discrete dimensionality reduction and deep generative\r\nmodeling. This framework
allows us to learn discrete representations of time\r\nseries, which give rise
to smooth and interpretable embeddings with superior\r\nclustering performance.
We introduce a new way to overcome the\r\nnon-differentiability in discrete representation
learning and present a\r\ngradient-based version of the traditional self-organizing
map algorithm that is\r\nmore performant than the original. Furthermore, to allow
for a probabilistic\r\ninterpretation of our method, we integrate a Markov model
in the representation\r\nspace. This model uncovers the temporal transition structure,
improves\r\nclustering performance even further and provides additional explanatory\r\ninsights
as well as a natural representation of uncertainty. We evaluate our\r\nmodel in
terms of clustering performance and interpretability on static\r\n(Fashion-)MNIST
data, a time series of linearly interpolated (Fashion-)MNIST\r\nimages, a chaotic
Lorenz attractor system with two macro states, as well as on\r\na challenging
real world medical time series application on the eICU data set.\r\nOur learned
representations compare favorably with competitor methods and\r\nfacilitate downstream
tasks on the real world data."
article_processing_charge: No
author:
- first_name: Vincent
full_name: Fortuin, Vincent
last_name: Fortuin
- first_name: Matthias
full_name: Hüser, Matthias
last_name: Hüser
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Heiko
full_name: Strathmann, Heiko
last_name: Strathmann
- first_name: Gunnar
full_name: Rätsch, Gunnar
last_name: Rätsch
citation:
ama: 'Fortuin V, Hüser M, Locatello F, Strathmann H, Rätsch G. SOM-VAE: Interpretable
discrete representation learning on time series. In: International Conference
on Learning Representations. ; 2018.'
apa: 'Fortuin, V., Hüser, M., Locatello, F., Strathmann, H., & Rätsch, G. (2018).
SOM-VAE: Interpretable discrete representation learning on time series. In International
Conference on Learning Representations. New Orleans, LA, United States.'
chicago: 'Fortuin, Vincent, Matthias Hüser, Francesco Locatello, Heiko Strathmann,
and Gunnar Rätsch. “SOM-VAE: Interpretable Discrete Representation Learning on
Time Series.” In International Conference on Learning Representations,
2018.'
ieee: 'V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, and G. Rätsch, “SOM-VAE:
Interpretable discrete representation learning on time series,” in International
Conference on Learning Representations, New Orleans, LA, United States, 2018.'
ista: 'Fortuin V, Hüser M, Locatello F, Strathmann H, Rätsch G. 2018. SOM-VAE: Interpretable
discrete representation learning on time series. International Conference on Learning
Representations. ICLR: International Conference on Learning Representations.'
mla: 'Fortuin, Vincent, et al. “SOM-VAE: Interpretable Discrete Representation Learning
on Time Series.” International Conference on Learning Representations,
2018.'
short: V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, G. Rätsch, in:, International
Conference on Learning Representations, 2018.
conference:
end_date: 2019-05-09
location: New Orleans, LA, United States
name: 'ICLR: International Conference on Learning Representations'
start_date: 2019-05-06
date_created: 2023-08-22T14:12:48Z
date_published: 2018-06-06T00:00:00Z
date_updated: 2023-09-13T06:35:12Z
day: '06'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1806.02199'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1806.02199
month: '06'
oa: 1
oa_version: Preprint
publication: International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
status: public
title: 'SOM-VAE: Interpretable discrete representation learning on time series'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '14203'
abstract:
- lang: eng
text: We propose a conditional gradient framework for a composite convex minimization
template with broad applications. Our approach combines smoothing and homotopy
techniques under the CGM framework, and provably achieves the optimal O(1/k−−√)
convergence rate. We demonstrate that the same rate holds if the linear subproblems
are solved approximately with additive or multiplicative error. In contrast with
the relevant work, we are able to characterize the convergence when the non-smooth
term is an indicator function. Specific applications of our framework include
the non-smooth minimization, semidefinite programming, and minimization with linear
inclusion constraints over a compact domain. Numerical evidence demonstrates the
benefits of our framework.
alternative_title:
- PMLR
article_processing_charge: No
author:
- first_name: Alp
full_name: Yurtsever, Alp
last_name: Yurtsever
- first_name: Olivier
full_name: Fercoq, Olivier
last_name: Fercoq
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Volkan
full_name: Cevher, Volkan
last_name: Cevher
citation:
ama: 'Yurtsever A, Fercoq O, Locatello F, Cevher V. A conditional gradient framework
for composite convex minimization with applications to semidefinite programming.
In: Proceedings of the 35th International Conference on Machine Learning.
Vol 80. ML Research Press; 2018:5727-5736.'
apa: 'Yurtsever, A., Fercoq, O., Locatello, F., & Cevher, V. (2018). A conditional
gradient framework for composite convex minimization with applications to semidefinite
programming. In Proceedings of the 35th International Conference on Machine
Learning (Vol. 80, pp. 5727–5736). Stockholm, Sweden: ML Research Press.'
chicago: Yurtsever, Alp, Olivier Fercoq, Francesco Locatello, and Volkan Cevher.
“A Conditional Gradient Framework for Composite Convex Minimization with Applications
to Semidefinite Programming.” In Proceedings of the 35th International Conference
on Machine Learning, 80:5727–36. ML Research Press, 2018.
ieee: A. Yurtsever, O. Fercoq, F. Locatello, and V. Cevher, “A conditional gradient
framework for composite convex minimization with applications to semidefinite
programming,” in Proceedings of the 35th International Conference on Machine
Learning, Stockholm, Sweden, 2018, vol. 80, pp. 5727–5736.
ista: 'Yurtsever A, Fercoq O, Locatello F, Cevher V. 2018. A conditional gradient
framework for composite convex minimization with applications to semidefinite
programming. Proceedings of the 35th International Conference on Machine Learning.
ICML: International Conference on Machine Learning, PMLR, vol. 80, 5727–5736.'
mla: Yurtsever, Alp, et al. “A Conditional Gradient Framework for Composite Convex
Minimization with Applications to Semidefinite Programming.” Proceedings of
the 35th International Conference on Machine Learning, vol. 80, ML Research
Press, 2018, pp. 5727–36.
short: A. Yurtsever, O. Fercoq, F. Locatello, V. Cevher, in:, Proceedings of the
35th International Conference on Machine Learning, ML Research Press, 2018, pp.
5727–5736.
conference:
end_date: 2018-07-15
location: Stockholm, Sweden
name: 'ICML: International Conference on Machine Learning'
start_date: 2018-07-10
date_created: 2023-08-22T14:16:01Z
date_published: 2018-07-15T00:00:00Z
date_updated: 2023-09-13T08:13:39Z
day: '15'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1804.08544'
intvolume: ' 80'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1804.08544
month: '07'
oa: 1
oa_version: Preprint
page: 5727-5736
publication: Proceedings of the 35th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
status: public
title: A conditional gradient framework for composite convex minimization with applications
to semidefinite programming
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 80
year: '2018'
...
---
_id: '282'
abstract:
- lang: eng
text: Adaptive introgression is common in nature and can be driven by selection
acting on multiple, linked genes. We explore the effects of polygenic selection
on introgression under the infinitesimal model with linkage. This model assumes
that the introgressing block has an effectively infinite number of genes, each
with an infinitesimal effect on the trait under selection. The block is assumed
to introgress under directional selection within a native population that is genetically
homogeneous. We use individual-based simulations and a branching process approximation
to compute various statistics of the introgressing block, and explore how these
depend on parameters such as the map length and initial trait value associated
with the introgressing block, the genetic variability along the block, and the
strength of selection. Our results show that the introgression dynamics of a block
under infinitesimal selection is qualitatively different from the dynamics of
neutral introgression. We also find that in the long run, surviving descendant
blocks are likely to have intermediate lengths, and clarify how the length is
shaped by the interplay between linkage and infinitesimal selection. Our results
suggest that it may be difficult to distinguish introgression of single loci from
that of genomic blocks with multiple, tightly linked and weakly selected loci.
article_processing_charge: No
author:
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Sachdeva H, Barton NH. Introgression of a block of genome under infinitesimal
selection. Genetics. 2018;209(4):1279-1303. doi:10.1534/genetics.118.301018
apa: Sachdeva, H., & Barton, N. H. (2018). Introgression of a block of genome
under infinitesimal selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.301018
chicago: Sachdeva, Himani, and Nicholas H Barton. “Introgression of a Block of Genome
under Infinitesimal Selection.” Genetics. Genetics Society of America,
2018. https://doi.org/10.1534/genetics.118.301018.
ieee: H. Sachdeva and N. H. Barton, “Introgression of a block of genome under infinitesimal
selection,” Genetics, vol. 209, no. 4. Genetics Society of America, pp.
1279–1303, 2018.
ista: Sachdeva H, Barton NH. 2018. Introgression of a block of genome under infinitesimal
selection. Genetics. 209(4), 1279–1303.
mla: Sachdeva, Himani, and Nicholas H. Barton. “Introgression of a Block of Genome
under Infinitesimal Selection.” Genetics, vol. 209, no. 4, Genetics Society
of America, 2018, pp. 1279–303, doi:10.1534/genetics.118.301018.
short: H. Sachdeva, N.H. Barton, Genetics 209 (2018) 1279–1303.
date_created: 2018-12-11T11:45:36Z
date_published: 2018-08-01T00:00:00Z
date_updated: 2023-09-13T08:22:32Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.118.301018
external_id:
isi:
- '000440014100020'
intvolume: ' 209'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/early/2017/11/30/227082
month: '08'
oa: 1
oa_version: Submitted Version
page: 1279 - 1303
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '7617'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Introgression of a block of genome under infinitesimal selection
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 209
year: '2018'
...
---
_id: '108'
abstract:
- lang: eng
text: Universal hashing found a lot of applications in computer science. In cryptography
the most important fact about universal families is the so called Leftover Hash
Lemma, proved by Impagliazzo, Levin and Luby. In the language of modern cryptography
it states that almost universal families are good extractors. In this work we
provide a somewhat surprising characterization in the opposite direction. Namely,
every extractor with sufficiently good parameters yields a universal family on
a noticeable fraction of its inputs. Our proof technique is based on tools from
extremal graph theory applied to the \'collision graph\' induced by the extractor,
and may be of independent interest. We discuss possible applications to the theory
of randomness extractors and non-malleable codes.
alternative_title:
- ISIT Proceedings
article_processing_charge: No
author:
- first_name: Marciej
full_name: Obremski, Marciej
last_name: Obremski
- first_name: Maciej
full_name: Skorski, Maciej
id: EC09FA6A-02D0-11E9-8223-86B7C91467DD
last_name: Skorski
citation:
ama: 'Obremski M, Skórski M. Inverted leftover hash lemma. In: Vol 2018. IEEE; 2018.
doi:10.1109/ISIT.2018.8437654'
apa: 'Obremski, M., & Skórski, M. (2018). Inverted leftover hash lemma (Vol.
2018). Presented at the ISIT: International Symposium on Information Theory, Vail,
CO, USA: IEEE. https://doi.org/10.1109/ISIT.2018.8437654'
chicago: Obremski, Marciej, and Maciej Skórski. “Inverted Leftover Hash Lemma,”
Vol. 2018. IEEE, 2018. https://doi.org/10.1109/ISIT.2018.8437654.
ieee: 'M. Obremski and M. Skórski, “Inverted leftover hash lemma,” presented at
the ISIT: International Symposium on Information Theory, Vail, CO, USA, 2018,
vol. 2018.'
ista: 'Obremski M, Skórski M. 2018. Inverted leftover hash lemma. ISIT: International
Symposium on Information Theory, ISIT Proceedings, vol. 2018.'
mla: Obremski, Marciej, and Maciej Skórski. Inverted Leftover Hash Lemma.
Vol. 2018, IEEE, 2018, doi:10.1109/ISIT.2018.8437654.
short: M. Obremski, M. Skórski, in:, IEEE, 2018.
conference:
end_date: 2018-06-22
location: Vail, CO, USA
name: 'ISIT: International Symposium on Information Theory'
start_date: '2018-06-17 '
date_created: 2018-12-11T11:44:40Z
date_published: 2018-08-16T00:00:00Z
date_updated: 2023-09-13T08:23:18Z
day: '16'
department:
- _id: KrPi
doi: 10.1109/ISIT.2018.8437654
external_id:
isi:
- '000448139300368'
intvolume: ' 2018'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eprint.iacr.org/2017/507
month: '08'
oa: 1
oa_version: Submitted Version
publication_status: published
publisher: IEEE
publist_id: '7946'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Inverted leftover hash lemma
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2018
year: '2018'
...
---
_id: '14204'
abstract:
- lang: eng
text: Two popular examples of first-order optimization methods over linear spaces
are coordinate descent and matching pursuit algorithms, with their randomized
variants. While the former targets the optimization by moving along coordinates,
the latter considers a generalized notion of directions. Exploiting the connection
between the two algorithms, we present a unified analysis of both, providing affine
invariant sublinear O(1/t) rates on smooth objectives and linear convergence on
strongly convex objectives. As a byproduct of our affine invariant analysis of
matching pursuit, our rates for steepest coordinate descent are the tightest known.
Furthermore, we show the first accelerated convergence rate O(1/t2) for matching
pursuit and steepest coordinate descent on convex objectives.
alternative_title:
- PMLR
article_processing_charge: No
author:
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Anant
full_name: Raj, Anant
last_name: Raj
- first_name: Sai Praneeth
full_name: Karimireddy, Sai Praneeth
last_name: Karimireddy
- first_name: Gunnar
full_name: Rätsch, Gunnar
last_name: Rätsch
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
- first_name: Sebastian U.
full_name: Stich, Sebastian U.
last_name: Stich
- first_name: Martin
full_name: Jaggi, Martin
last_name: Jaggi
citation:
ama: 'Locatello F, Raj A, Karimireddy SP, et al. On matching pursuit and coordinate
descent. In: Proceedings of the 35th International Conference on Machine Learning.
Vol 80. ML Research Press; 2018:3198-3207.'
apa: Locatello, F., Raj, A., Karimireddy, S. P., Rätsch, G., Schölkopf, B., Stich,
S. U., & Jaggi, M. (2018). On matching pursuit and coordinate descent. In
Proceedings of the 35th International Conference on Machine Learning (Vol.
80, pp. 3198–3207). ML Research Press.
chicago: Locatello, Francesco, Anant Raj, Sai Praneeth Karimireddy, Gunnar Rätsch,
Bernhard Schölkopf, Sebastian U. Stich, and Martin Jaggi. “On Matching Pursuit
and Coordinate Descent.” In Proceedings of the 35th International Conference
on Machine Learning, 80:3198–3207. ML Research Press, 2018.
ieee: F. Locatello et al., “On matching pursuit and coordinate descent,”
in Proceedings of the 35th International Conference on Machine Learning,
2018, vol. 80, pp. 3198–3207.
ista: Locatello F, Raj A, Karimireddy SP, Rätsch G, Schölkopf B, Stich SU, Jaggi
M. 2018. On matching pursuit and coordinate descent. Proceedings of the 35th International
Conference on Machine Learning. , PMLR, vol. 80, 3198–3207.
mla: Locatello, Francesco, et al. “On Matching Pursuit and Coordinate Descent.”
Proceedings of the 35th International Conference on Machine Learning, vol.
80, ML Research Press, 2018, pp. 3198–207.
short: F. Locatello, A. Raj, S.P. Karimireddy, G. Rätsch, B. Schölkopf, S.U. Stich,
M. Jaggi, in:, Proceedings of the 35th International Conference on Machine Learning,
ML Research Press, 2018, pp. 3198–3207.
date_created: 2023-08-22T14:16:25Z
date_published: 2018-07-01T00:00:00Z
date_updated: 2023-09-13T08:19:05Z
day: '01'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1803.09539'
intvolume: ' 80'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1803.09539
month: '07'
oa: 1
oa_version: Preprint
page: 3198-3207
publication: Proceedings of the 35th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: On matching pursuit and coordinate descent
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 80
year: '2018'
...
---
_id: '160'
abstract:
- lang: eng
text: We present layered concurrent programs, a compact and expressive notation
for specifying refinement proofs of concurrent programs. A layered concurrent
program specifies a sequence of connected concurrent programs, from most concrete
to most abstract, such that common parts of different programs are written exactly
once. These programs are expressed in the ordinary syntax of imperative concurrent
programs using gated atomic actions, sequencing, choice, and (recursive) procedure
calls. Each concurrent program is automatically extracted from the layered program.
We reduce refinement to the safety of a sequence of concurrent checker programs,
one each to justify the connection between every two consecutive concurrent programs.
These checker programs are also automatically extracted from the layered program.
Layered concurrent programs have been implemented in the CIVL verifier which has
been successfully used for the verification of several complex concurrent programs.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Bernhard
full_name: Kragl, Bernhard
id: 320FC952-F248-11E8-B48F-1D18A9856A87
last_name: Kragl
orcid: 0000-0001-7745-9117
- first_name: Shaz
full_name: Qadeer, Shaz
last_name: Qadeer
citation:
ama: 'Kragl B, Qadeer S. Layered Concurrent Programs. In: Vol 10981. Springer; 2018:79-102.
doi:10.1007/978-3-319-96145-3_5'
apa: 'Kragl, B., & Qadeer, S. (2018). Layered Concurrent Programs (Vol. 10981,
pp. 79–102). Presented at the CAV: Computer Aided Verification, Oxford, UK: Springer.
https://doi.org/10.1007/978-3-319-96145-3_5'
chicago: Kragl, Bernhard, and Shaz Qadeer. “Layered Concurrent Programs,” 10981:79–102.
Springer, 2018. https://doi.org/10.1007/978-3-319-96145-3_5.
ieee: 'B. Kragl and S. Qadeer, “Layered Concurrent Programs,” presented at the CAV:
Computer Aided Verification, Oxford, UK, 2018, vol. 10981, pp. 79–102.'
ista: 'Kragl B, Qadeer S. 2018. Layered Concurrent Programs. CAV: Computer Aided
Verification, LNCS, vol. 10981, 79–102.'
mla: Kragl, Bernhard, and Shaz Qadeer. Layered Concurrent Programs. Vol.
10981, Springer, 2018, pp. 79–102, doi:10.1007/978-3-319-96145-3_5.
short: B. Kragl, S. Qadeer, in:, Springer, 2018, pp. 79–102.
conference:
end_date: 2018-07-17
location: Oxford, UK
name: 'CAV: Computer Aided Verification'
start_date: 2018-07-14
date_created: 2018-12-11T11:44:57Z
date_published: 2018-07-18T00:00:00Z
date_updated: 2023-09-13T08:45:09Z
day: '18'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1007/978-3-319-96145-3_5
external_id:
isi:
- '000491481600005'
file:
- access_level: open_access
checksum: c64fff560fe5a7532ec10626ad1c215e
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T12:52:12Z
date_updated: 2020-07-14T12:45:04Z
file_id: '5705'
file_name: 2018_LNCS_Kragl.pdf
file_size: 1603844
relation: main_file
file_date_updated: 2020-07-14T12:45:04Z
has_accepted_license: '1'
intvolume: ' 10981'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 79 - 102
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
publication_status: published
publisher: Springer
publist_id: '7761'
quality_controlled: '1'
related_material:
record:
- id: '8332'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Layered Concurrent Programs
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 10981
year: '2018'
...
---
_id: '280'
abstract:
- lang: eng
text: Flowers have a species-specific functional life span that determines the time
window in which pollination, fertilization and seed set can occur. The stigma
tissue plays a key role in flower receptivity by intercepting pollen and initiating
pollen tube growth toward the ovary. In this article, we show that a developmentally
controlled cell death programme terminates the functional life span of stigma
cells in Arabidopsis. We identified the leaf senescence regulator ORESARA1 (also
known as ANAC092) and the previously uncharacterized KIRA1 (also known as ANAC074)
as partially redundant transcription factors that modulate stigma longevity by
controlling the expression of programmed cell death-associated genes. KIRA1 expression
is sufficient to induce cell death and terminate floral receptivity, whereas lack
of both KIRA1 and ORESARA1 substantially increases stigma life span. Surprisingly,
the extension of stigma longevity is accompanied by only a moderate extension
of flower receptivity, suggesting that additional processes participate in the
control of the flower's receptive life span.
acknowledgement: We gratefully acknowledge funding from the Chinese Scholarship Council
(CSC; project number 201206910025 to Z.G.), the Fonds Wetenschappelijk Onderzoek
(FWO; project number G005112N to A.D.; fellowship number 12I7417N to Z.L.), the
Belgian Federal Science Policy Office (BELSPO; to Y.S.), the Agency for Innovation
by Science and Technology of Belgium (IWT; fellowship number 121110 to M.V.D.),
the Hercules foundation (grant AUGE-09-029 to K.D.), and the ERC StG PROCELLDEATH
(project number 639234 to M.K.N.).
article_processing_charge: No
author:
- first_name: Zhen
full_name: Gao, Zhen
last_name: Gao
- first_name: Anna
full_name: Daneva, Anna
last_name: Daneva
- first_name: Yuliya
full_name: Salanenka, Yuliya
id: 46DAAE7E-F248-11E8-B48F-1D18A9856A87
last_name: Salanenka
- first_name: Matthias
full_name: Van Durme, Matthias
last_name: Van Durme
- first_name: Marlies
full_name: Huysmans, Marlies
last_name: Huysmans
- first_name: Zongcheng
full_name: Lin, Zongcheng
last_name: Lin
- first_name: Freya
full_name: De Winter, Freya
last_name: De Winter
- first_name: Steffen
full_name: Vanneste, Steffen
last_name: Vanneste
- first_name: Mansour
full_name: Karimi, Mansour
last_name: Karimi
- first_name: Jan
full_name: Van De Velde, Jan
last_name: Van De Velde
- first_name: Klaas
full_name: Vandepoele, Klaas
last_name: Vandepoele
- first_name: Davy
full_name: Van De Walle, Davy
last_name: Van De Walle
- first_name: Koen
full_name: Dewettinck, Koen
last_name: Dewettinck
- first_name: Bart
full_name: Lambrecht, Bart
last_name: Lambrecht
- first_name: Moritz
full_name: Nowack, Moritz
last_name: Nowack
citation:
ama: Gao Z, Daneva A, Salanenka Y, et al. KIRA1 and ORESARA1 terminate flower receptivity
by promoting cell death in the stigma of Arabidopsis. Nature Plants. 2018;4(6):365-375.
doi:10.1038/s41477-018-0160-7
apa: Gao, Z., Daneva, A., Salanenka, Y., Van Durme, M., Huysmans, M., Lin, Z., …
Nowack, M. (2018). KIRA1 and ORESARA1 terminate flower receptivity by promoting
cell death in the stigma of Arabidopsis. Nature Plants. Nature Publishing
Group. https://doi.org/10.1038/s41477-018-0160-7
chicago: Gao, Zhen, Anna Daneva, Yuliya Salanenka, Matthias Van Durme, Marlies Huysmans,
Zongcheng Lin, Freya De Winter, et al. “KIRA1 and ORESARA1 Terminate Flower Receptivity
by Promoting Cell Death in the Stigma of Arabidopsis.” Nature Plants. Nature
Publishing Group, 2018. https://doi.org/10.1038/s41477-018-0160-7.
ieee: Z. Gao et al., “KIRA1 and ORESARA1 terminate flower receptivity by
promoting cell death in the stigma of Arabidopsis,” Nature Plants, vol.
4, no. 6. Nature Publishing Group, pp. 365–375, 2018.
ista: Gao Z, Daneva A, Salanenka Y, Van Durme M, Huysmans M, Lin Z, De Winter F,
Vanneste S, Karimi M, Van De Velde J, Vandepoele K, Van De Walle D, Dewettinck
K, Lambrecht B, Nowack M. 2018. KIRA1 and ORESARA1 terminate flower receptivity
by promoting cell death in the stigma of Arabidopsis. Nature Plants. 4(6), 365–375.
mla: Gao, Zhen, et al. “KIRA1 and ORESARA1 Terminate Flower Receptivity by Promoting
Cell Death in the Stigma of Arabidopsis.” Nature Plants, vol. 4, no. 6,
Nature Publishing Group, 2018, pp. 365–75, doi:10.1038/s41477-018-0160-7.
short: Z. Gao, A. Daneva, Y. Salanenka, M. Van Durme, M. Huysmans, Z. Lin, F. De
Winter, S. Vanneste, M. Karimi, J. Van De Velde, K. Vandepoele, D. Van De Walle,
K. Dewettinck, B. Lambrecht, M. Nowack, Nature Plants 4 (2018) 365–375.
date_created: 2018-12-11T11:45:35Z
date_published: 2018-05-28T00:00:00Z
date_updated: 2023-09-13T08:24:17Z
day: '28'
department:
- _id: JiFr
doi: 10.1038/s41477-018-0160-7
external_id:
isi:
- '000435571000017'
intvolume: ' 4'
isi: 1
issue: '6'
language:
- iso: eng
month: '05'
oa_version: None
page: 365 - 375
publication: Nature Plants
publication_status: published
publisher: Nature Publishing Group
publist_id: '7619'
quality_controlled: '1'
scopus_import: '1'
status: public
title: KIRA1 and ORESARA1 terminate flower receptivity by promoting cell death in
the stigma of Arabidopsis
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 4
year: '2018'
...
---
_id: '503'
abstract:
- lang: eng
text: Buffers are essential for diluting bacterial cultures for flow cytometry analysis
in order to study bacterial physiology and gene expression parameters based on
fluorescence signals. Using a variety of constitutively expressed fluorescent
proteins in Escherichia coli K-12 strain MG1655, we found strong artifactual changes
in fluorescence levels after dilution into the commonly used flow cytometry buffer
phosphate-buffered saline (PBS) and two other buffer solutions, Tris-HCl and M9
salts. These changes appeared very rapidly after dilution, and were linked to
increased membrane permeability and loss in cell viability. We observed buffer-related
effects in several different E. coli strains, K-12, C and W, but not E. coli B,
which can be partially explained by differences in lipopolysaccharide (LPS) and
outer membrane composition. Supplementing the buffers with divalent cations responsible
for outer membrane stability, Mg2+ and Ca2+, preserved fluorescence signals, membrane
integrity and viability of E. coli. Thus, stabilizing the bacterial outer membrane
is essential for precise and unbiased measurements of fluorescence parameters
using flow cytometry.
acknowledged_ssus:
- _id: Bio
acknowledgement: "We thank R Chait and M Lagator for sharing Bacillus subtilis CR_Y1
and pZS*_2R-cIPtet-Venus-Prm, respectively. We are grateful to T Pilizota and all
members of the Guet lab for critically reading the manuscript. We also thank the
Bioimaging facility at IST Austria for assistance using the FACSAria III system.\r\n\r\n"
article_processing_charge: No
author:
- first_name: Kathrin
full_name: Tomasek, Kathrin
id: 3AEC8556-F248-11E8-B48F-1D18A9856A87
last_name: Tomasek
orcid: 0000-0003-3768-877X
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Tomasek K, Bergmiller T, Guet CC. Lack of cations in flow cytometry buffers
affect fluorescence signals by reducing membrane stability and viability of Escherichia
coli strains. Journal of Biotechnology. 2018;268:40-52. doi:10.1016/j.jbiotec.2018.01.008
apa: Tomasek, K., Bergmiller, T., & Guet, C. C. (2018). Lack of cations in flow
cytometry buffers affect fluorescence signals by reducing membrane stability and
viability of Escherichia coli strains. Journal of Biotechnology. Elsevier.
https://doi.org/10.1016/j.jbiotec.2018.01.008
chicago: Tomasek, Kathrin, Tobias Bergmiller, and Calin C Guet. “Lack of Cations
in Flow Cytometry Buffers Affect Fluorescence Signals by Reducing Membrane Stability
and Viability of Escherichia Coli Strains.” Journal of Biotechnology. Elsevier,
2018. https://doi.org/10.1016/j.jbiotec.2018.01.008.
ieee: K. Tomasek, T. Bergmiller, and C. C. Guet, “Lack of cations in flow cytometry
buffers affect fluorescence signals by reducing membrane stability and viability
of Escherichia coli strains,” Journal of Biotechnology, vol. 268. Elsevier,
pp. 40–52, 2018.
ista: Tomasek K, Bergmiller T, Guet CC. 2018. Lack of cations in flow cytometry
buffers affect fluorescence signals by reducing membrane stability and viability
of Escherichia coli strains. Journal of Biotechnology. 268, 40–52.
mla: Tomasek, Kathrin, et al. “Lack of Cations in Flow Cytometry Buffers Affect
Fluorescence Signals by Reducing Membrane Stability and Viability of Escherichia
Coli Strains.” Journal of Biotechnology, vol. 268, Elsevier, 2018, pp.
40–52, doi:10.1016/j.jbiotec.2018.01.008.
short: K. Tomasek, T. Bergmiller, C.C. Guet, Journal of Biotechnology 268 (2018)
40–52.
date_created: 2018-12-11T11:46:50Z
date_published: 2018-02-20T00:00:00Z
date_updated: 2023-09-13T08:24:51Z
day: '20'
department:
- _id: CaGu
doi: 10.1016/j.jbiotec.2018.01.008
external_id:
isi:
- '000425715100006'
intvolume: ' 268'
isi: 1
language:
- iso: eng
month: '02'
oa_version: None
page: 40 - 52
publication: Journal of Biotechnology
publication_status: published
publisher: Elsevier
publist_id: '7317'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Lack of cations in flow cytometry buffers affect fluorescence signals by reducing
membrane stability and viability of Escherichia coli strains
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 268
year: '2018'
...
---
_id: '82'
abstract:
- lang: eng
text: In experimental cultures, when bacteria are mixed with lytic (virulent) bacteriophage,
bacterial cells resistant to the phage commonly emerge and become the dominant
population of bacteria. Following the ascent of resistant mutants, the densities
of bacteria in these simple communities become limited by resources rather than
the phage. Despite the evolution of resistant hosts, upon which the phage cannot
replicate, the lytic phage population is most commonly maintained in an apparently
stable state with the resistant bacteria. Several mechanisms have been put forward
to account for this result. Here we report the results of population dynamic/evolution
experiments with a virulent mutant of phage Lambda, λVIR, and Escherichia coli
in serial transfer cultures. We show that, following the ascent of λVIR-resistant
bacteria, λVIRis maintained in the majority of cases in maltose-limited minimal
media and in all cases in nutrient-rich broth. Using mathematical models and experiments,
we show that the dominant mechanism responsible for maintenance of λVIRin these
resource-limited populations dominated by resistant E. coli is a high rate of
either phenotypic or genetic transition from resistance to susceptibility—a hitherto
undemonstrated mechanism we term "leaky resistance." We discuss the
implications of leaky resistance to our understanding of the conditions for the
maintenance of phage in populations of bacteria—their “existence conditions.”.
article_number: '2005971'
article_processing_charge: Yes
author:
- first_name: Waqas
full_name: Chaudhry, Waqas
last_name: Chaudhry
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
- first_name: Nilang
full_name: Shah, Nilang
last_name: Shah
- first_name: Howard
full_name: Weiss, Howard
last_name: Weiss
- first_name: Ingrid
full_name: Mccall, Ingrid
last_name: Mccall
- first_name: Justin
full_name: Meyer, Justin
last_name: Meyer
- first_name: Animesh
full_name: Gupta, Animesh
last_name: Gupta
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Bruce
full_name: Levin, Bruce
last_name: Levin
citation:
ama: Chaudhry W, Pleska M, Shah N, et al. Leaky resistance and the conditions for
the existence of lytic bacteriophage. PLoS Biology. 2018;16(8). doi:10.1371/journal.pbio.2005971
apa: Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J., … Levin,
B. (2018). Leaky resistance and the conditions for the existence of lytic bacteriophage.
PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2005971
chicago: Chaudhry, Waqas, Maros Pleska, Nilang Shah, Howard Weiss, Ingrid Mccall,
Justin Meyer, Animesh Gupta, Calin C Guet, and Bruce Levin. “Leaky Resistance
and the Conditions for the Existence of Lytic Bacteriophage.” PLoS Biology.
Public Library of Science, 2018. https://doi.org/10.1371/journal.pbio.2005971.
ieee: W. Chaudhry et al., “Leaky resistance and the conditions for the existence
of lytic bacteriophage,” PLoS Biology, vol. 16, no. 8. Public Library of
Science, 2018.
ista: Chaudhry W, Pleska M, Shah N, Weiss H, Mccall I, Meyer J, Gupta A, Guet CC,
Levin B. 2018. Leaky resistance and the conditions for the existence of lytic
bacteriophage. PLoS Biology. 16(8), 2005971.
mla: Chaudhry, Waqas, et al. “Leaky Resistance and the Conditions for the Existence
of Lytic Bacteriophage.” PLoS Biology, vol. 16, no. 8, 2005971, Public
Library of Science, 2018, doi:10.1371/journal.pbio.2005971.
short: W. Chaudhry, M. Pleska, N. Shah, H. Weiss, I. Mccall, J. Meyer, A. Gupta,
C.C. Guet, B. Levin, PLoS Biology 16 (2018).
date_created: 2018-12-11T11:44:32Z
date_published: 2018-08-16T00:00:00Z
date_updated: 2023-09-13T08:45:41Z
day: '16'
ddc:
- '570'
department:
- _id: CaGu
doi: 10.1371/journal.pbio.2005971
external_id:
isi:
- '000443383300024'
file:
- access_level: open_access
checksum: 527076f78265cd4ea192cd1569851587
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T12:55:31Z
date_updated: 2020-07-14T12:48:10Z
file_id: '5706'
file_name: 2018_Plos_Chaudhry.pdf
file_size: 4007095
relation: main_file
file_date_updated: 2020-07-14T12:48:10Z
has_accepted_license: '1'
intvolume: ' 16'
isi: 1
issue: '8'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
publication: PLoS Biology
publication_status: published
publisher: Public Library of Science
publist_id: '7972'
quality_controlled: '1'
related_material:
record:
- id: '9810'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Leaky resistance and the conditions for the existence of lytic bacteriophage
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 16
year: '2018'
...
---
_id: '4'
abstract:
- lang: eng
text: We present a data-driven technique to instantly predict how fluid flows around
various three-dimensional objects. Such simulation is useful for computational
fabrication and engineering, but is usually computationally expensive since it
requires solving the Navier-Stokes equation for many time steps. To accelerate
the process, we propose a machine learning framework which predicts aerodynamic
forces and velocity and pressure fields given a threedimensional shape input.
Handling detailed free-form three-dimensional shapes in a data-driven framework
is challenging because machine learning approaches usually require a consistent
parametrization of input and output. We present a novel PolyCube maps-based parametrization
that can be computed for three-dimensional shapes at interactive rates. This allows
us to efficiently learn the nonlinear response of the flow using a Gaussian process
regression. We demonstrate the effectiveness of our approach for the interactive
design and optimization of a car body.
article_number: '89'
article_processing_charge: No
author:
- first_name: Nobuyuki
full_name: Umetani, Nobuyuki
last_name: Umetani
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Umetani N, Bickel B. Learning three-dimensional flow for interactive aerodynamic
design. ACM Trans Graph. 2018;37(4). doi:10.1145/3197517.3201325
apa: Umetani, N., & Bickel, B. (2018). Learning three-dimensional flow for interactive
aerodynamic design. ACM Trans. Graph. ACM. https://doi.org/10.1145/3197517.3201325
chicago: Umetani, Nobuyuki, and Bernd Bickel. “Learning Three-Dimensional Flow for
Interactive Aerodynamic Design.” ACM Trans. Graph. ACM, 2018. https://doi.org/10.1145/3197517.3201325.
ieee: N. Umetani and B. Bickel, “Learning three-dimensional flow for interactive
aerodynamic design,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018.
ista: Umetani N, Bickel B. 2018. Learning three-dimensional flow for interactive
aerodynamic design. ACM Trans. Graph. 37(4), 89.
mla: Umetani, Nobuyuki, and Bernd Bickel. “Learning Three-Dimensional Flow for Interactive
Aerodynamic Design.” ACM Trans. Graph., vol. 37, no. 4, 89, ACM, 2018,
doi:10.1145/3197517.3201325.
short: N. Umetani, B. Bickel, ACM Trans. Graph. 37 (2018).
date_created: 2018-12-11T11:44:06Z
date_published: 2018-08-04T00:00:00Z
date_updated: 2023-09-13T08:46:15Z
day: '04'
ddc:
- '003'
- '004'
department:
- _id: BeBi
doi: 10.1145/3197517.3201325
ec_funded: 1
external_id:
isi:
- '000448185000050'
file:
- access_level: open_access
checksum: 7a2243668f215821bc6aecad0320079a
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:28Z
date_updated: 2020-07-14T12:46:22Z
file_id: '5216'
file_name: IST-2018-1049-v1+1_2018_sigg_Learning3DAerodynamics.pdf
file_size: 22803163
relation: main_file
file_date_updated: 2020-07-14T12:46:22Z
has_accepted_license: '1'
intvolume: ' 37'
isi: 1
issue: '4'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Trans. Graph.
publication_status: published
publisher: ACM
publist_id: '8053'
pubrep_id: '1049'
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/new-interactive-machine-learning-tool-makes-car-designs-more-aerodynamic/
scopus_import: '1'
status: public
title: Learning three-dimensional flow for interactive aerodynamic design
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 37
year: '2018'
...
---
_id: '183'
abstract:
- lang: eng
text: 'Fault-localization is considered to be a very tedious and time-consuming
activity in the design of complex Cyber-Physical Systems (CPS). This laborious
task essentially requires expert knowledge of the system in order to discover
the cause of the fault. In this context, we propose a new procedure that AIDS
designers in debugging Simulink/Stateflow hybrid system models, guided by Signal
Temporal Logic (STL) specifications. The proposed method relies on three main
ingredients: (1) a monitoring and a trace diagnostics procedure that checks whether
a tested behavior satisfies or violates an STL specification, localizes time segments
and interfaces variables contributing to the property violations; (2) a slicing
procedure that maps these observable behavior segments to the internal states
and transitions of the Simulink model; and (3) a spectrum-based fault-localization
method that combines the previous analysis from multiple tests to identify the
internal states and/or transitions that are the most likely to explain the fault.
We demonstrate the applicability of our approach on two Simulink models from the
automotive and the avionics domain.'
acknowledgement: This work was partially supported by the Austrian Science Fund (FWF)
under grants S11402-N23 and S11405-N23 (RiSE/SHiNE), the CPS/IoT project (HRSM),
the EU ICT COST Action IC1402 on Run-time Verification beyond Monitoring (ARVI),
the AMASS project (ECSEL 692474), and the ENABLE-S3 project (ECSEL 692455). The
CPS/IoT project receives support from the Austrian government through the Federal
Ministry of Science, Research and Economy (BMWFW) in the funding program Hochschulraum-Strukturmittel
(HRSM) 2016. The ECSEL Joint Undertaking receives support from the European Union’s
Horizon 2020 research and innovation programme and Austria, Denmark, Germany, Finland,
Czech Republic, Italy, Spain, Portugal, Poland, Ireland, Belgium, France, Netherlands,
United Kingdom, Slovakia, Norway.
alternative_title:
- HSCC Proceedings
article_processing_charge: No
author:
- first_name: Ezio
full_name: Bartocci, Ezio
last_name: Bartocci
- first_name: Thomas
full_name: Ferrere, Thomas
id: 40960E6E-F248-11E8-B48F-1D18A9856A87
last_name: Ferrere
orcid: 0000-0001-5199-3143
- first_name: Niveditha
full_name: Manjunath, Niveditha
last_name: Manjunath
- first_name: Dejan
full_name: Nickovic, Dejan
last_name: Nickovic
citation:
ama: 'Bartocci E, Ferrere T, Manjunath N, Nickovic D. Localizing faults in simulink/stateflow
models with STL. In: Association for Computing Machinery, Inc; 2018:197-206. doi:10.1145/3178126.3178131'
apa: 'Bartocci, E., Ferrere, T., Manjunath, N., & Nickovic, D. (2018). Localizing
faults in simulink/stateflow models with STL (pp. 197–206). Presented at the HSCC:
Hybrid Systems: Computation and Control, Porto, Portugal: Association for Computing
Machinery, Inc. https://doi.org/10.1145/3178126.3178131'
chicago: Bartocci, Ezio, Thomas Ferrere, Niveditha Manjunath, and Dejan Nickovic.
“Localizing Faults in Simulink/Stateflow Models with STL,” 197–206. Association
for Computing Machinery, Inc, 2018. https://doi.org/10.1145/3178126.3178131.
ieee: 'E. Bartocci, T. Ferrere, N. Manjunath, and D. Nickovic, “Localizing faults
in simulink/stateflow models with STL,” presented at the HSCC: Hybrid Systems:
Computation and Control, Porto, Portugal, 2018, pp. 197–206.'
ista: 'Bartocci E, Ferrere T, Manjunath N, Nickovic D. 2018. Localizing faults in
simulink/stateflow models with STL. HSCC: Hybrid Systems: Computation and Control,
HSCC Proceedings, , 197–206.'
mla: Bartocci, Ezio, et al. Localizing Faults in Simulink/Stateflow Models with
STL. Association for Computing Machinery, Inc, 2018, pp. 197–206, doi:10.1145/3178126.3178131.
short: E. Bartocci, T. Ferrere, N. Manjunath, D. Nickovic, in:, Association for
Computing Machinery, Inc, 2018, pp. 197–206.
conference:
end_date: 2018-04-13
location: Porto, Portugal
name: 'HSCC: Hybrid Systems: Computation and Control'
start_date: 2018-04-11
date_created: 2018-12-11T11:45:04Z
date_published: 2018-04-11T00:00:00Z
date_updated: 2023-09-13T08:48:46Z
day: '11'
department:
- _id: ToHe
doi: 10.1145/3178126.3178131
external_id:
isi:
- '000474781600022'
isi: 1
language:
- iso: eng
month: '04'
oa_version: None
page: 197 - 206
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
publication_status: published
publisher: Association for Computing Machinery, Inc
publist_id: '7738'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Localizing faults in simulink/stateflow models with STL
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '566'
abstract:
- lang: eng
text: "We consider large random matrices X with centered, independent entries which
have comparable but not necessarily identical variances. Girko's circular law
asserts that the spectrum is supported in a disk and in case of identical variances,
the limiting density is uniform. In this special case, the local circular law
by Bourgade et. al. [11,12] shows that the empirical density converges even locally
on scales slightly above the typical eigenvalue spacing. In the general case,
the limiting density is typically inhomogeneous and it is obtained via solving
a system of deterministic equations. Our main result is the local inhomogeneous
circular law in the bulk spectrum on the optimal scale for a general variance
profile of the entries of X. \r\n\r\n"
article_processing_charge: No
article_type: original
author:
- first_name: Johannes
full_name: Alt, Johannes
id: 36D3D8B6-F248-11E8-B48F-1D18A9856A87
last_name: Alt
- first_name: László
full_name: Erdös, László
id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
last_name: Erdös
orcid: 0000-0001-5366-9603
- first_name: Torben H
full_name: Krüger, Torben H
id: 3020C786-F248-11E8-B48F-1D18A9856A87
last_name: Krüger
orcid: 0000-0002-4821-3297
citation:
ama: Alt J, Erdös L, Krüger TH. Local inhomogeneous circular law. Annals Applied
Probability . 2018;28(1):148-203. doi:10.1214/17-AAP1302
apa: Alt, J., Erdös, L., & Krüger, T. H. (2018). Local inhomogeneous circular
law. Annals Applied Probability . Institute of Mathematical Statistics.
https://doi.org/10.1214/17-AAP1302
chicago: Alt, Johannes, László Erdös, and Torben H Krüger. “Local Inhomogeneous
Circular Law.” Annals Applied Probability . Institute of Mathematical Statistics,
2018. https://doi.org/10.1214/17-AAP1302.
ieee: J. Alt, L. Erdös, and T. H. Krüger, “Local inhomogeneous circular law,” Annals
Applied Probability , vol. 28, no. 1. Institute of Mathematical Statistics,
pp. 148–203, 2018.
ista: Alt J, Erdös L, Krüger TH. 2018. Local inhomogeneous circular law. Annals
Applied Probability . 28(1), 148–203.
mla: Alt, Johannes, et al. “Local Inhomogeneous Circular Law.” Annals Applied
Probability , vol. 28, no. 1, Institute of Mathematical Statistics, 2018,
pp. 148–203, doi:10.1214/17-AAP1302.
short: J. Alt, L. Erdös, T.H. Krüger, Annals Applied Probability 28 (2018) 148–203.
date_created: 2018-12-11T11:47:13Z
date_published: 2018-03-03T00:00:00Z
date_updated: 2023-09-13T08:47:52Z
day: '03'
department:
- _id: LaEr
doi: 10.1214/17-AAP1302
ec_funded: 1
external_id:
arxiv:
- '1612.07776 '
isi:
- '000431721800005'
intvolume: ' 28'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: 'https://arxiv.org/abs/1612.07776 '
month: '03'
oa: 1
oa_version: Preprint
page: 148-203
project:
- _id: 258DCDE6-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '338804'
name: Random matrices, universality and disordered quantum systems
publication: 'Annals Applied Probability '
publication_status: published
publisher: Institute of Mathematical Statistics
quality_controlled: '1'
related_material:
record:
- id: '149'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Local inhomogeneous circular law
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 28
year: '2018'
...
---
_id: '106'
abstract:
- lang: eng
text: The goal of this article is to introduce the reader to the theory of intrinsic
geometry of convex surfaces. We illustrate the power of the tools by proving a
theorem on convex surfaces containing an arbitrarily long closed simple geodesic.
Let us remind ourselves that a curve in a surface is called geodesic if every
sufficiently short arc of the curve is length minimizing; if, in addition, it
has no self-intersections, we call it simple geodesic. A tetrahedron with equal
opposite edges is called isosceles. The axiomatic method of Alexandrov geometry
allows us to work with the metrics of convex surfaces directly, without approximating
it first by a smooth or polyhedral metric. Such approximations destroy the closed
geodesics on the surface; therefore it is difficult (if at all possible) to apply
approximations in the proof of our theorem. On the other hand, a proof in the
smooth or polyhedral case usually admits a translation into Alexandrov’s language;
such translation makes the result more general. In fact, our proof resembles a
translation of the proof given by Protasov. Note that the main theorem implies
in particular that a smooth convex surface does not have arbitrarily long simple
closed geodesics. However we do not know a proof of this corollary that is essentially
simpler than the one presented below.
article_processing_charge: No
author:
- first_name: Arseniy
full_name: Akopyan, Arseniy
id: 430D2C90-F248-11E8-B48F-1D18A9856A87
last_name: Akopyan
orcid: 0000-0002-2548-617X
- first_name: Anton
full_name: Petrunin, Anton
last_name: Petrunin
citation:
ama: Akopyan A, Petrunin A. Long geodesics on convex surfaces. Mathematical Intelligencer.
2018;40(3):26-31. doi:10.1007/s00283-018-9795-5
apa: Akopyan, A., & Petrunin, A. (2018). Long geodesics on convex surfaces.
Mathematical Intelligencer. Springer. https://doi.org/10.1007/s00283-018-9795-5
chicago: Akopyan, Arseniy, and Anton Petrunin. “Long Geodesics on Convex Surfaces.”
Mathematical Intelligencer. Springer, 2018. https://doi.org/10.1007/s00283-018-9795-5.
ieee: A. Akopyan and A. Petrunin, “Long geodesics on convex surfaces,” Mathematical
Intelligencer, vol. 40, no. 3. Springer, pp. 26–31, 2018.
ista: Akopyan A, Petrunin A. 2018. Long geodesics on convex surfaces. Mathematical
Intelligencer. 40(3), 26–31.
mla: Akopyan, Arseniy, and Anton Petrunin. “Long Geodesics on Convex Surfaces.”
Mathematical Intelligencer, vol. 40, no. 3, Springer, 2018, pp. 26–31,
doi:10.1007/s00283-018-9795-5.
short: A. Akopyan, A. Petrunin, Mathematical Intelligencer 40 (2018) 26–31.
date_created: 2018-12-11T11:44:40Z
date_published: 2018-09-01T00:00:00Z
date_updated: 2023-09-13T08:49:16Z
day: '01'
department:
- _id: HeEd
doi: 10.1007/s00283-018-9795-5
external_id:
arxiv:
- '1702.05172'
isi:
- '000444141200005'
intvolume: ' 40'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1702.05172
month: '09'
oa: 1
oa_version: Preprint
page: 26 - 31
publication: Mathematical Intelligencer
publication_status: published
publisher: Springer
publist_id: '7948'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Long geodesics on convex surfaces
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 40
year: '2018'
...
---
_id: '9810'
article_processing_charge: No
author:
- first_name: Waqas
full_name: Chaudhry, Waqas
last_name: Chaudhry
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
- first_name: Nilang
full_name: Shah, Nilang
last_name: Shah
- first_name: Howard
full_name: Weiss, Howard
last_name: Weiss
- first_name: Ingrid
full_name: Mccall, Ingrid
last_name: Mccall
- first_name: Justin
full_name: Meyer, Justin
last_name: Meyer
- first_name: Animesh
full_name: Gupta, Animesh
last_name: Gupta
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Bruce
full_name: Levin, Bruce
last_name: Levin
citation:
ama: Chaudhry W, Pleska M, Shah N, et al. Numerical data used in figures. 2018.
doi:10.1371/journal.pbio.2005971.s008
apa: Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J., … Levin,
B. (2018). Numerical data used in figures. Public Library of Science. https://doi.org/10.1371/journal.pbio.2005971.s008
chicago: Chaudhry, Waqas, Maros Pleska, Nilang Shah, Howard Weiss, Ingrid Mccall,
Justin Meyer, Animesh Gupta, Calin C Guet, and Bruce Levin. “Numerical Data Used
in Figures.” Public Library of Science, 2018. https://doi.org/10.1371/journal.pbio.2005971.s008.
ieee: W. Chaudhry et al., “Numerical data used in figures.” Public Library
of Science, 2018.
ista: Chaudhry W, Pleska M, Shah N, Weiss H, Mccall I, Meyer J, Gupta A, Guet CC,
Levin B. 2018. Numerical data used in figures, Public Library of Science, 10.1371/journal.pbio.2005971.s008.
mla: Chaudhry, Waqas, et al. Numerical Data Used in Figures. Public Library
of Science, 2018, doi:10.1371/journal.pbio.2005971.s008.
short: W. Chaudhry, M. Pleska, N. Shah, H. Weiss, I. Mccall, J. Meyer, A. Gupta,
C.C. Guet, B. Levin, (2018).
date_created: 2021-08-06T12:43:44Z
date_published: 2018-08-16T00:00:00Z
date_updated: 2023-09-13T08:45:41Z
day: '16'
department:
- _id: CaGu
doi: 10.1371/journal.pbio.2005971.s008
month: '08'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '82'
relation: used_in_publication
status: public
status: public
title: Numerical data used in figures
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2018'
...
---
_id: '275'
abstract:
- lang: eng
text: Lymphatic endothelial cells (LECs) release extracellular chemokines to guide
the migration of dendritic cells. In this study, we report that LECs also release
basolateral exosome-rich endothelial vesicles (EEVs) that are secreted in greater
numbers in the presence of inflammatory cytokines and accumulate in the perivascular
stroma of small lymphatic vessels in human chronic inflammatory diseases. Proteomic
analyses of EEV fractions identified > 1,700 cargo proteins and revealed a
dominant motility-promoting protein signature. In vitro and ex vivo EEV fractions
augmented cellular protrusion formation in a CX3CL1/fractalkine-dependent fashion
and enhanced the directional migratory response of human dendritic cells along
guidance cues. We conclude that perilymphatic LEC exosomes enhance exploratory
behavior and thus promote directional migration of CX3CR1-expressing cells in
complex tissue environments.
acknowledgement: M. Brown was supported by the Cell Communication in Health and Disease
Graduate Study Program of the Austrian Science Fund and Medizinische Universität
Wien, M. Sixt by the European Research Council (ERC GA 281556) and an Austrian Science
Fund START award, K.L. Bennett by the Austrian Academy of Sciences, D.G. Jackson
and L.A. Johnson by Unit Funding (MC_UU_12010/2) and project grants from the Medical
Research Council (G1100134 and MR/L008610/1), and M. Detmar by the Schweizerischer
Nationalfonds zur Förderung der Wissenschaftlichen Forschung and Advanced European
Research Council grant LYVICAM. K. Vaahtomeri was supported by an Academy of Finland
postdoctoral research grant (287853). This project has received funding from the
European Union’s Horizon 2020 research and innovation program under grant agreement
No. 668036 (RELENT).
article_processing_charge: No
author:
- first_name: Markus
full_name: Brown, Markus
id: 3DAB9AFC-F248-11E8-B48F-1D18A9856A87
last_name: Brown
- first_name: Louise
full_name: Johnson, Louise
last_name: Johnson
- first_name: Dario
full_name: Leone, Dario
last_name: Leone
- first_name: Peter
full_name: Májek, Peter
last_name: Májek
- first_name: Kari
full_name: Vaahtomeri, Kari
id: 368EE576-F248-11E8-B48F-1D18A9856A87
last_name: Vaahtomeri
orcid: 0000-0001-7829-3518
- first_name: Daniel
full_name: Senfter, Daniel
last_name: Senfter
- first_name: Nora
full_name: Bukosza, Nora
last_name: Bukosza
- first_name: Helga
full_name: Schachner, Helga
last_name: Schachner
- first_name: Gabriele
full_name: Asfour, Gabriele
last_name: Asfour
- first_name: Brigitte
full_name: Langer, Brigitte
last_name: Langer
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Katja
full_name: Parapatics, Katja
last_name: Parapatics
- first_name: Young
full_name: Hong, Young
last_name: Hong
- first_name: Keiryn
full_name: Bennett, Keiryn
last_name: Bennett
- first_name: Renate
full_name: Kain, Renate
last_name: Kain
- first_name: Michael
full_name: Detmar, Michael
last_name: Detmar
- first_name: Michael K
full_name: Sixt, Michael K
id: 41E9FBEA-F248-11E8-B48F-1D18A9856A87
last_name: Sixt
orcid: 0000-0002-6620-9179
- first_name: David
full_name: Jackson, David
last_name: Jackson
- first_name: Dontscho
full_name: Kerjaschki, Dontscho
last_name: Kerjaschki
citation:
ama: Brown M, Johnson L, Leone D, et al. Lymphatic exosomes promote dendritic cell
migration along guidance cues. Journal of Cell Biology. 2018;217(6):2205-2221.
doi:10.1083/jcb.201612051
apa: Brown, M., Johnson, L., Leone, D., Májek, P., Vaahtomeri, K., Senfter, D.,
… Kerjaschki, D. (2018). Lymphatic exosomes promote dendritic cell migration along
guidance cues. Journal of Cell Biology. Rockefeller University Press. https://doi.org/10.1083/jcb.201612051
chicago: Brown, Markus, Louise Johnson, Dario Leone, Peter Májek, Kari Vaahtomeri,
Daniel Senfter, Nora Bukosza, et al. “Lymphatic Exosomes Promote Dendritic Cell
Migration along Guidance Cues.” Journal of Cell Biology. Rockefeller University
Press, 2018. https://doi.org/10.1083/jcb.201612051.
ieee: M. Brown et al., “Lymphatic exosomes promote dendritic cell migration
along guidance cues,” Journal of Cell Biology, vol. 217, no. 6. Rockefeller
University Press, pp. 2205–2221, 2018.
ista: Brown M, Johnson L, Leone D, Májek P, Vaahtomeri K, Senfter D, Bukosza N,
Schachner H, Asfour G, Langer B, Hauschild R, Parapatics K, Hong Y, Bennett K,
Kain R, Detmar M, Sixt MK, Jackson D, Kerjaschki D. 2018. Lymphatic exosomes promote
dendritic cell migration along guidance cues. Journal of Cell Biology. 217(6),
2205–2221.
mla: Brown, Markus, et al. “Lymphatic Exosomes Promote Dendritic Cell Migration
along Guidance Cues.” Journal of Cell Biology, vol. 217, no. 6, Rockefeller
University Press, 2018, pp. 2205–21, doi:10.1083/jcb.201612051.
short: M. Brown, L. Johnson, D. Leone, P. Májek, K. Vaahtomeri, D. Senfter, N. Bukosza,
H. Schachner, G. Asfour, B. Langer, R. Hauschild, K. Parapatics, Y. Hong, K. Bennett,
R. Kain, M. Detmar, M.K. Sixt, D. Jackson, D. Kerjaschki, Journal of Cell Biology
217 (2018) 2205–2221.
date_created: 2018-12-11T11:45:33Z
date_published: 2018-04-12T00:00:00Z
date_updated: 2023-09-13T08:51:29Z
day: '12'
ddc:
- '570'
department:
- _id: MiSi
- _id: Bio
doi: 10.1083/jcb.201612051
ec_funded: 1
external_id:
isi:
- '000438077800026'
pmid:
- '29650776'
file:
- access_level: open_access
checksum: 9c7eba51a35c62da8c13f98120b64df4
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T12:50:07Z
date_updated: 2020-07-14T12:45:45Z
file_id: '5704'
file_name: 2018_JournalCellBiology_Brown.pdf
file_size: 2252043
relation: main_file
file_date_updated: 2020-07-14T12:45:45Z
has_accepted_license: '1'
intvolume: ' 217'
isi: 1
issue: '6'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 2205 - 2221
pmid: 1
project:
- _id: 25A8E5EA-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Y 564-B12
name: Cytoskeletal force generation and transduction of leukocytes (FWF)
- _id: 25A603A2-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '281556'
name: Cytoskeletal force generation and force transduction of migrating leukocytes
(EU)
publication: Journal of Cell Biology
publication_status: published
publisher: Rockefeller University Press
publist_id: '7627'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Lymphatic exosomes promote dendritic cell migration along guidance cues
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 217
year: '2018'
...
---
_id: '158'
abstract:
- lang: eng
text: 'The angiosperm seed is composed of three genetically distinct tissues: the
diploid embryo that originates from the fertilized egg cell, the triploid endosperm
that is produced from the fertilized central cell, and the maternal sporophytic
integuments that develop into the seed coat1. At the onset of embryo development
in Arabidopsis thaliana, the zygote divides asymmetrically, producing a small
apical embryonic cell and a larger basal cell that connects the embryo to the
maternal tissue2. The coordinated and synchronous development of the embryo and
the surrounding integuments, and the alignment of their growth axes, suggest communication
between maternal tissues and the embryo. In contrast to animals, however, where
a network of maternal factors that direct embryo patterning have been identified3,4,
only a few maternal mutations have been described to affect embryo development
in plants5–7. Early embryo patterning in Arabidopsis requires accumulation of
the phytohormone auxin in the apical cell by directed transport from the suspensor8–10.
However, the origin of this auxin has remained obscure. Here we investigate the
source of auxin for early embryogenesis and provide evidence that the mother plant
coordinates seed development by supplying auxin to the early embryo from the integuments
of the ovule. We show that auxin response increases in ovules after fertilization,
due to upregulated auxin biosynthesis in the integuments, and this maternally
produced auxin is required for correct embryo development.'
acknowledgement: This work was further supported by the Czech Science Foundation GACR
(GA13-40637S) to J.F.;
article_processing_charge: No
author:
- first_name: Hélène
full_name: Robert, Hélène
last_name: Robert
- first_name: Chulmin
full_name: Park, Chulmin
last_name: Park
- first_name: Carla
full_name: Gutièrrez, Carla
last_name: Gutièrrez
- first_name: Barbara
full_name: Wójcikowska, Barbara
last_name: Wójcikowska
- first_name: Aleš
full_name: Pěnčík, Aleš
last_name: Pěnčík
- first_name: Ondřej
full_name: Novák, Ondřej
last_name: Novák
- first_name: Junyi
full_name: Chen, Junyi
last_name: Chen
- first_name: Wim
full_name: Grunewald, Wim
last_name: Grunewald
- first_name: Thomas
full_name: Dresselhaus, Thomas
last_name: Dresselhaus
- first_name: Jirí
full_name: Friml, Jirí
id: 4159519E-F248-11E8-B48F-1D18A9856A87
last_name: Friml
orcid: 0000-0002-8302-7596
- first_name: Thomas
full_name: Laux, Thomas
last_name: Laux
citation:
ama: Robert H, Park C, Gutièrrez C, et al. Maternal auxin supply contributes to
early embryo patterning in Arabidopsis. Nature Plants. 2018;4(8):548-553.
doi:10.1038/s41477-018-0204-z
apa: Robert, H., Park, C., Gutièrrez, C., Wójcikowska, B., Pěnčík, A., Novák, O.,
… Laux, T. (2018). Maternal auxin supply contributes to early embryo patterning
in Arabidopsis. Nature Plants. Nature Publishing Group. https://doi.org/10.1038/s41477-018-0204-z
chicago: Robert, Hélène, Chulmin Park, Carla Gutièrrez, Barbara Wójcikowska, Aleš
Pěnčík, Ondřej Novák, Junyi Chen, et al. “Maternal Auxin Supply Contributes to
Early Embryo Patterning in Arabidopsis.” Nature Plants. Nature Publishing
Group, 2018. https://doi.org/10.1038/s41477-018-0204-z.
ieee: H. Robert et al., “Maternal auxin supply contributes to early embryo
patterning in Arabidopsis,” Nature Plants, vol. 4, no. 8. Nature Publishing
Group, pp. 548–553, 2018.
ista: Robert H, Park C, Gutièrrez C, Wójcikowska B, Pěnčík A, Novák O, Chen J, Grunewald
W, Dresselhaus T, Friml J, Laux T. 2018. Maternal auxin supply contributes to
early embryo patterning in Arabidopsis. Nature Plants. 4(8), 548–553.
mla: Robert, Hélène, et al. “Maternal Auxin Supply Contributes to Early Embryo Patterning
in Arabidopsis.” Nature Plants, vol. 4, no. 8, Nature Publishing Group,
2018, pp. 548–53, doi:10.1038/s41477-018-0204-z.
short: H. Robert, C. Park, C. Gutièrrez, B. Wójcikowska, A. Pěnčík, O. Novák, J.
Chen, W. Grunewald, T. Dresselhaus, J. Friml, T. Laux, Nature Plants 4 (2018)
548–553.
date_created: 2018-12-11T11:44:56Z
date_published: 2018-07-16T00:00:00Z
date_updated: 2023-09-13T08:53:28Z
day: '16'
department:
- _id: JiFr
doi: 10.1038/s41477-018-0204-z
ec_funded: 1
external_id:
isi:
- '000443861300011'
pmid:
- '30013211'
intvolume: ' 4'
isi: 1
issue: '8'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pubmed/30013211
month: '07'
oa: 1
oa_version: Submitted Version
page: 548 - 553
pmid: 1
project:
- _id: 25716A02-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '282300'
name: Polarity and subcellular dynamics in plants
publication: Nature Plants
publication_status: published
publisher: Nature Publishing Group
publist_id: '7763'
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/plant-mothers-talk-to-their-embryos-via-the-hormone-auxin/
scopus_import: '1'
status: public
title: Maternal auxin supply contributes to early embryo patterning in Arabidopsis
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 4
year: '2018'
...