---
_id: '20'
abstract:
- lang: eng
text: 'Background: Norepinephrine (NE) signaling has a key role in white adipose
tissue (WAT) functions, including lipolysis, free fatty acid liberation and, under
certain conditions, conversion of white into brite (brown-in-white) adipocytes.
However, acute effects of NE stimulation have not been described at the transcriptional
network level. Results: We used RNA-seq to uncover a broad transcriptional response.
The inference of protein-protein and protein-DNA interaction networks allowed
us to identify a set of immediate-early genes (IEGs) with high betweenness, validating
our approach and suggesting a hierarchical control of transcriptional regulation.
In addition, we identified a transcriptional regulatory network with IEGs as master
regulators, including HSF1 and NFIL3 as novel NE-induced IEG candidates. Moreover,
a functional enrichment analysis and gene clustering into functional modules suggest
a crosstalk between metabolic, signaling, and immune responses. Conclusions: Altogether,
our network biology approach explores for the first time the immediate-early systems
level response of human adipocytes to acute sympathetic activation, thereby providing
a first network basis of early cell fate programs and crosstalks between metabolic
and transcriptional networks required for proper WAT function.'
acknowledgement: This work was funded by the German Centre for Diabetes Research (DZD)
and the Austrian Science Fund (FWF, P25729-B19).
article_processing_charge: No
article_type: original
author:
- first_name: Juan
full_name: Higareda Almaraz, Juan
last_name: Higareda Almaraz
- first_name: Michael
full_name: Karbiener, Michael
last_name: Karbiener
- first_name: Maude
full_name: Giroud, Maude
last_name: Giroud
- first_name: Florian
full_name: Pauler, Florian
id: 48EA0138-F248-11E8-B48F-1D18A9856A87
last_name: Pauler
orcid: 0000-0002-7462-0048
- first_name: Teresa
full_name: Gerhalter, Teresa
last_name: Gerhalter
- first_name: Stephan
full_name: Herzig, Stephan
last_name: Herzig
- first_name: Marcel
full_name: Scheideler, Marcel
last_name: Scheideler
citation:
ama: Higareda Almaraz J, Karbiener M, Giroud M, et al. Norepinephrine triggers an
immediate-early regulatory network response in primary human white adipocytes.
BMC Genomics. 2018;19(1). doi:10.1186/s12864-018-5173-0
apa: Higareda Almaraz, J., Karbiener, M., Giroud, M., Pauler, F., Gerhalter, T.,
Herzig, S., & Scheideler, M. (2018). Norepinephrine triggers an immediate-early
regulatory network response in primary human white adipocytes. BMC Genomics.
BioMed Central. https://doi.org/10.1186/s12864-018-5173-0
chicago: Higareda Almaraz, Juan, Michael Karbiener, Maude Giroud, Florian Pauler,
Teresa Gerhalter, Stephan Herzig, and Marcel Scheideler. “Norepinephrine Triggers
an Immediate-Early Regulatory Network Response in Primary Human White Adipocytes.”
BMC Genomics. BioMed Central, 2018. https://doi.org/10.1186/s12864-018-5173-0.
ieee: J. Higareda Almaraz et al., “Norepinephrine triggers an immediate-early
regulatory network response in primary human white adipocytes,” BMC Genomics,
vol. 19, no. 1. BioMed Central, 2018.
ista: Higareda Almaraz J, Karbiener M, Giroud M, Pauler F, Gerhalter T, Herzig S,
Scheideler M. 2018. Norepinephrine triggers an immediate-early regulatory network
response in primary human white adipocytes. BMC Genomics. 19(1).
mla: Higareda Almaraz, Juan, et al. “Norepinephrine Triggers an Immediate-Early
Regulatory Network Response in Primary Human White Adipocytes.” BMC Genomics,
vol. 19, no. 1, BioMed Central, 2018, doi:10.1186/s12864-018-5173-0.
short: J. Higareda Almaraz, M. Karbiener, M. Giroud, F. Pauler, T. Gerhalter, S.
Herzig, M. Scheideler, BMC Genomics 19 (2018).
date_created: 2018-12-11T11:44:12Z
date_published: 2018-11-03T00:00:00Z
date_updated: 2023-09-13T09:10:47Z
day: '03'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.1186/s12864-018-5173-0
external_id:
isi:
- '000450976700002'
file:
- access_level: open_access
checksum: a56516e734dab589dc7f3e1915973b4d
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T14:52:57Z
date_updated: 2020-07-14T12:45:23Z
file_id: '5712'
file_name: 2018_BMCGenomics_Higareda.pdf
file_size: 4629784
relation: main_file
file_date_updated: 2020-07-14T12:45:23Z
has_accepted_license: '1'
intvolume: ' 19'
isi: 1
issue: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
publication: BMC Genomics
publication_identifier:
issn:
- 1471-2164
publication_status: published
publisher: BioMed Central
publist_id: '8035'
quality_controlled: '1'
related_material:
record:
- id: '9807'
relation: research_data
status: public
- id: '9808'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Norepinephrine triggers an immediate-early regulatory network response in primary
human white adipocytes
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: 19
year: '2018'
...
---
_id: '107'
abstract:
- lang: eng
text: 'We introduce the notion of “non-malleable codes” which relaxes the notion
of error correction and error detection. Informally, a code is non-malleable if
the message contained in a modified codeword is either the original message, or
a completely unrelated value. In contrast to error correction and error detection,
non-malleability can be achieved for very rich classes of modifications. We construct
an efficient code that is non-malleable with respect to modifications that affect
each bit of the codeword arbitrarily (i.e., leave it untouched, flip it, or set
it to either 0 or 1), but independently of the value of the other bits of the
codeword. Using the probabilistic method, we also show a very strong and general
statement: there exists a non-malleable code for every “small enough” family F
of functions via which codewords can be modified. Although this probabilistic
method argument does not directly yield efficient constructions, it gives us efficient
non-malleable codes in the random-oracle model for very general classes of tampering
functions—e.g., functions where every bit in the tampered codeword can depend
arbitrarily on any 99% of the bits in the original codeword. As an application
of non-malleable codes, we show that they provide an elegant algorithmic solution
to the task of protecting functionalities implemented in hardware (e.g., signature
cards) against “tampering attacks.” In such attacks, the secret state of a physical
system is tampered, in the hopes that future interaction with the modified system
will reveal some secret information. This problem was previously studied in the
work of Gennaro et al. in 2004 under the name “algorithmic tamper proof security”
(ATP). We show that non-malleable codes can be used to achieve important improvements
over the prior work. In particular, we show that any functionality can be made
secure against a large class of tampering attacks, simply by encoding the secret
state with a non-malleable code while it is stored in memory.'
article_number: '20'
article_processing_charge: No
article_type: original
author:
- first_name: Stefan
full_name: Dziembowski, Stefan
last_name: Dziembowski
- first_name: Krzysztof Z
full_name: Pietrzak, Krzysztof Z
id: 3E04A7AA-F248-11E8-B48F-1D18A9856A87
last_name: Pietrzak
orcid: 0000-0002-9139-1654
- first_name: Daniel
full_name: Wichs, Daniel
last_name: Wichs
citation:
ama: Dziembowski S, Pietrzak KZ, Wichs D. Non-malleable codes. Journal of the
ACM. 2018;65(4). doi:10.1145/3178432
apa: Dziembowski, S., Pietrzak, K. Z., & Wichs, D. (2018). Non-malleable codes.
Journal of the ACM. ACM. https://doi.org/10.1145/3178432
chicago: Dziembowski, Stefan, Krzysztof Z Pietrzak, and Daniel Wichs. “Non-Malleable
Codes.” Journal of the ACM. ACM, 2018. https://doi.org/10.1145/3178432.
ieee: S. Dziembowski, K. Z. Pietrzak, and D. Wichs, “Non-malleable codes,” Journal
of the ACM, vol. 65, no. 4. ACM, 2018.
ista: Dziembowski S, Pietrzak KZ, Wichs D. 2018. Non-malleable codes. Journal of
the ACM. 65(4), 20.
mla: Dziembowski, Stefan, et al. “Non-Malleable Codes.” Journal of the ACM,
vol. 65, no. 4, 20, ACM, 2018, doi:10.1145/3178432.
short: S. Dziembowski, K.Z. Pietrzak, D. Wichs, Journal of the ACM 65 (2018).
date_created: 2018-12-11T11:44:40Z
date_published: 2018-08-01T00:00:00Z
date_updated: 2023-09-13T09:05:17Z
day: '01'
department:
- _id: KrPi
doi: 10.1145/3178432
ec_funded: 1
external_id:
isi:
- '000442938200004'
intvolume: ' 65'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eprint.iacr.org/2009/608
month: '08'
oa: 1
oa_version: Preprint
project:
- _id: 258AA5B2-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '682815'
name: Teaching Old Crypto New Tricks
- _id: 258C570E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '259668'
name: Provable Security for Physical Cryptography
publication: Journal of the ACM
publication_status: published
publisher: ACM
publist_id: '7947'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Non-malleable codes
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 65
year: '2018'
...
---
_id: '5676'
abstract:
- lang: eng
text: 'In epithelial tissues, cells tightly connect to each other through cell–cell
junctions, but they also present the remarkable capacity of reorganizing themselves
without compromising tissue integrity. Upon injury, simple epithelia efficiently
resolve small lesions through the action of actin cytoskeleton contractile structures
at the wound edge and cellular rearrangements. However, the underlying mechanisms
and how they cooperate are still poorly understood. In this study, we combine
live imaging and theoretical modeling to reveal a novel and indispensable role
for occluding junctions (OJs) in this process. We demonstrate that OJ loss of
function leads to defects in wound-closure dynamics: instead of contracting, wounds
dramatically increase their area. OJ mutants exhibit phenotypes in cell shape,
cellular rearrangements, and mechanical properties as well as in actin cytoskeleton
dynamics at the wound edge. We propose that OJs are essential for wound closure
by impacting on epithelial mechanics at the tissue level, which in turn is crucial
for correct regulation of the cellular events occurring at the wound edge.'
article_processing_charge: No
author:
- first_name: Lara
full_name: Carvalho, Lara
last_name: Carvalho
- first_name: Pedro
full_name: Patricio, Pedro
last_name: Patricio
- first_name: Susana
full_name: Ponte, Susana
last_name: Ponte
- first_name: Carl-Philipp J
full_name: Heisenberg, Carl-Philipp J
id: 39427864-F248-11E8-B48F-1D18A9856A87
last_name: Heisenberg
orcid: 0000-0002-0912-4566
- first_name: Luis
full_name: Almeida, Luis
last_name: Almeida
- first_name: André S.
full_name: Nunes, André S.
last_name: Nunes
- first_name: Nuno A.M.
full_name: Araújo, Nuno A.M.
last_name: Araújo
- first_name: Antonio
full_name: Jacinto, Antonio
last_name: Jacinto
citation:
ama: Carvalho L, Patricio P, Ponte S, et al. Occluding junctions as novel regulators
of tissue mechanics during wound repair. Journal of Cell Biology. 2018;217(12):4267-4283.
doi:10.1083/jcb.201804048
apa: Carvalho, L., Patricio, P., Ponte, S., Heisenberg, C.-P. J., Almeida, L., Nunes,
A. S., … Jacinto, A. (2018). Occluding junctions as novel regulators of tissue
mechanics during wound repair. Journal of Cell Biology. Rockefeller University
Press. https://doi.org/10.1083/jcb.201804048
chicago: Carvalho, Lara, Pedro Patricio, Susana Ponte, Carl-Philipp J Heisenberg,
Luis Almeida, André S. Nunes, Nuno A.M. Araújo, and Antonio Jacinto. “Occluding
Junctions as Novel Regulators of Tissue Mechanics during Wound Repair.” Journal
of Cell Biology. Rockefeller University Press, 2018. https://doi.org/10.1083/jcb.201804048.
ieee: L. Carvalho et al., “Occluding junctions as novel regulators of tissue
mechanics during wound repair,” Journal of Cell Biology, vol. 217, no.
12. Rockefeller University Press, pp. 4267–4283, 2018.
ista: Carvalho L, Patricio P, Ponte S, Heisenberg C-PJ, Almeida L, Nunes AS, Araújo
NAM, Jacinto A. 2018. Occluding junctions as novel regulators of tissue mechanics
during wound repair. Journal of Cell Biology. 217(12), 4267–4283.
mla: Carvalho, Lara, et al. “Occluding Junctions as Novel Regulators of Tissue Mechanics
during Wound Repair.” Journal of Cell Biology, vol. 217, no. 12, Rockefeller
University Press, 2018, pp. 4267–83, doi:10.1083/jcb.201804048.
short: L. Carvalho, P. Patricio, S. Ponte, C.-P.J. Heisenberg, L. Almeida, A.S.
Nunes, N.A.M. Araújo, A. Jacinto, Journal of Cell Biology 217 (2018) 4267–4283.
date_created: 2018-12-16T22:59:19Z
date_published: 2018-12-01T00:00:00Z
date_updated: 2023-09-13T09:11:17Z
day: '01'
department:
- _id: CaHe
doi: 10.1083/jcb.201804048
ec_funded: 1
external_id:
isi:
- '000451960800018'
pmid:
- '30228162 '
intvolume: ' 217'
isi: 1
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pubmed/30228162
month: '12'
oa: 1
oa_version: Submitted Version
page: 4267-4283
pmid: 1
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Journal of Cell Biology
publication_identifier:
issn:
- '00219525'
publication_status: published
publisher: Rockefeller University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Occluding junctions as novel regulators of tissue mechanics during wound repair
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 217
year: '2018'
...
---
_id: '14224'
abstract:
- lang: eng
text: Clustering is a cornerstone of unsupervised learning which can be thought
as disentangling multiple generative mechanisms underlying the data. In this paper
we introduce an algorithmic framework to train mixtures of implicit generative
models which we particularize for variational autoencoders. Relying on an additional
set of discriminators, we propose a competitive procedure in which the models
only need to approximate the portion of the data distribution from which they
can produce realistic samples. As a byproduct, each model is simpler to train,
and a clustering interpretation arises naturally from the partitioning of the
training points among the models. We empirically show that our approach splits
the training distribution in a reasonable way and increases the quality of the
generated samples.
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: Damien
full_name: Vincent, Damien
last_name: Vincent
- first_name: Ilya
full_name: Tolstikhin, Ilya
last_name: Tolstikhin
- first_name: Gunnar
full_name: Ratsch, Gunnar
last_name: Ratsch
- first_name: Sylvain
full_name: Gelly, Sylvain
last_name: Gelly
- first_name: Bernhard
full_name: Scholkopf, Bernhard
last_name: Scholkopf
citation:
ama: 'Locatello F, Vincent D, Tolstikhin I, Ratsch G, Gelly S, Scholkopf B. Clustering
meets implicit generative models. In: 6th International Conference on Learning
Representations. ; 2018.'
apa: Locatello, F., Vincent, D., Tolstikhin, I., Ratsch, G., Gelly, S., & Scholkopf,
B. (2018). Clustering meets implicit generative models. In 6th International
Conference on Learning Representations. Vancouver, Canada.
chicago: Locatello, Francesco, Damien Vincent, Ilya Tolstikhin, Gunnar Ratsch, Sylvain
Gelly, and Bernhard Scholkopf. “Clustering Meets Implicit Generative Models.”
In 6th International Conference on Learning Representations, 2018.
ieee: F. Locatello, D. Vincent, I. Tolstikhin, G. Ratsch, S. Gelly, and B. Scholkopf,
“Clustering meets implicit generative models,” in 6th International Conference
on Learning Representations, Vancouver, Canada, 2018.
ista: Locatello F, Vincent D, Tolstikhin I, Ratsch G, Gelly S, Scholkopf B. 2018.
Clustering meets implicit generative models. 6th International Conference on Learning
Representations. International Conference on Machine Learning.
mla: Locatello, Francesco, et al. “Clustering Meets Implicit Generative Models.”
6th International Conference on Learning Representations, 2018.
short: F. Locatello, D. Vincent, I. Tolstikhin, G. Ratsch, S. Gelly, B. Scholkopf,
in:, 6th International Conference on Learning Representations, 2018.
conference:
end_date: 2018-05-03
location: Vancouver, Canada
name: International Conference on Machine Learning
start_date: 2018-04-30
date_created: 2023-08-22T14:25:34Z
date_published: 2018-05-01T00:00:00Z
date_updated: 2023-09-13T09:08:24Z
day: '01'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1804.11130'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1804.11130
month: '05'
oa: 1
oa_version: Preprint
publication: 6th International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Clustering meets implicit generative models
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '9807'
abstract:
- lang: eng
text: Table S1. Genes with highest betweenness. Table S2. Local and Master regulators
up-regulated. Table S3. Local and Master regulators down-regulated (XLSX 23 kb).
article_processing_charge: No
author:
- first_name: Juan
full_name: Higareda Almaraz, Juan
last_name: Higareda Almaraz
- first_name: Michael
full_name: Karbiener, Michael
last_name: Karbiener
- first_name: Maude
full_name: Giroud, Maude
last_name: Giroud
- first_name: Florian
full_name: Pauler, Florian
id: 48EA0138-F248-11E8-B48F-1D18A9856A87
last_name: Pauler
orcid: 0000-0002-7462-0048
- first_name: Teresa
full_name: Gerhalter, Teresa
last_name: Gerhalter
- first_name: Stephan
full_name: Herzig, Stephan
last_name: Herzig
- first_name: Marcel
full_name: Scheideler, Marcel
last_name: Scheideler
citation:
ama: 'Higareda Almaraz J, Karbiener M, Giroud M, et al. Additional file 1: Of Norepinephrine
triggers an immediate-early regulatory network response in primary human white
adipocytes. 2018. doi:10.6084/m9.figshare.7295339.v1'
apa: 'Higareda Almaraz, J., Karbiener, M., Giroud, M., Pauler, F., Gerhalter, T.,
Herzig, S., & Scheideler, M. (2018). Additional file 1: Of Norepinephrine
triggers an immediate-early regulatory network response in primary human white
adipocytes. Springer Nature. https://doi.org/10.6084/m9.figshare.7295339.v1'
chicago: 'Higareda Almaraz, Juan, Michael Karbiener, Maude Giroud, Florian Pauler,
Teresa Gerhalter, Stephan Herzig, and Marcel Scheideler. “Additional File 1: Of
Norepinephrine Triggers an Immediate-Early Regulatory Network Response in Primary
Human White Adipocytes.” Springer Nature, 2018. https://doi.org/10.6084/m9.figshare.7295339.v1.'
ieee: 'J. Higareda Almaraz et al., “Additional file 1: Of Norepinephrine
triggers an immediate-early regulatory network response in primary human white
adipocytes.” Springer Nature, 2018.'
ista: 'Higareda Almaraz J, Karbiener M, Giroud M, Pauler F, Gerhalter T, Herzig
S, Scheideler M. 2018. Additional file 1: Of Norepinephrine triggers an immediate-early
regulatory network response in primary human white adipocytes, Springer Nature,
10.6084/m9.figshare.7295339.v1.'
mla: 'Higareda Almaraz, Juan, et al. Additional File 1: Of Norepinephrine Triggers
an Immediate-Early Regulatory Network Response in Primary Human White Adipocytes.
Springer Nature, 2018, doi:10.6084/m9.figshare.7295339.v1.'
short: J. Higareda Almaraz, M. Karbiener, M. Giroud, F. Pauler, T. Gerhalter, S.
Herzig, M. Scheideler, (2018).
date_created: 2021-08-06T12:26:53Z
date_published: 2018-11-03T00:00:00Z
date_updated: 2023-09-13T09:10:47Z
day: '03'
department:
- _id: SiHi
doi: 10.6084/m9.figshare.7295339.v1
main_file_link:
- open_access: '1'
url: https://doi.org/10.6084/m9.figshare.7295339.v1
month: '11'
oa: 1
oa_version: Published Version
publisher: Springer Nature
related_material:
record:
- id: '20'
relation: used_in_publication
status: public
status: public
title: 'Additional file 1: Of Norepinephrine triggers an immediate-early regulatory
network response in primary human white adipocytes'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2018'
...