---
_id: '1244'
abstract:
- lang: eng
text: Cell polarity refers to a functional spatial organization of proteins that
is crucial for the control of essential cellular processes such as growth and
division. To establish polarity, cells rely on elaborate regulation networks that
control the distribution of proteins at the cell membrane. In fission yeast cells,
a microtubule-dependent network has been identified that polarizes the distribution
of signaling proteins that restricts growth to cell ends and targets the cytokinetic
machinery to the middle of the cell. Although many molecular components have been
shown to play a role in this network, it remains unknown which molecular functionalities
are minimally required to establish a polarized protein distribution in this system.
Here we show that a membrane-binding protein fragment, which distributes homogeneously
in wild-type fission yeast cells, can be made to concentrate at cell ends by attaching
it to a cytoplasmic microtubule end-binding protein. This concentration results
in a polarized pattern of chimera proteins with a spatial extension that is very
reminiscent of natural polarity patterns in fission yeast. However, chimera levels
fluctuate in response to microtubule dynamics, and disruption of microtubules
leads to disappearance of the pattern. Numerical simulations confirm that the
combined functionality of membrane anchoring and microtubule tip affinity is in
principle sufficient to create polarized patterns. Our chimera protein may thus
represent a simple molecular functionality that is able to polarize the membrane,
onto which additional layers of molecular complexity may be built to provide the
temporal robustness that is typical of natural polarity patterns.
acknowledgement: "We thank Sophie Martin, Ken Sawin, Stephen Huisman,\r\nand Damian
Brunner for strains; Julianne\r\nTeapal, Marcel Janson, Sergio Rincon,\r\nand Phong
Tran for technical assistance; Andrew Mugler and Bela Mulder for\r\ndiscussions;
and Sander Tans, Phong Tran,\r\nand Anne Paoletti for critical reading\r\nof the
manuscript. This work is part of the research program of the\r\n“\r\nStichting\r\nvoor
Fundamenteel Onderzoek de Materie,\r\n”\r\nwhich is financially supported by\r\nthe\r\n“\r\nNederlandse
organisatie voor Wete\r\nnschappelijk Onderzoek (NWO).\r\n”"
author:
- first_name: Pierre
full_name: Recouvreux, Pierre
last_name: Recouvreux
- first_name: Thomas R
full_name: Sokolowski, Thomas R
id: 3E999752-F248-11E8-B48F-1D18A9856A87
last_name: Sokolowski
orcid: 0000-0002-1287-3779
- first_name: Aristea
full_name: Grammoustianou, Aristea
last_name: Grammoustianou
- first_name: Pieter
full_name: Tenwolde, Pieter
last_name: Tenwolde
- first_name: Marileen
full_name: Dogterom, Marileen
last_name: Dogterom
citation:
ama: Recouvreux P, Sokolowski TR, Grammoustianou A, Tenwolde P, Dogterom M. Chimera
proteins with affinity for membranes and microtubule tips polarize in the membrane
of fission yeast cells. PNAS. 2016;113(7):1811-1816. doi:10.1073/pnas.1419248113
apa: Recouvreux, P., Sokolowski, T. R., Grammoustianou, A., Tenwolde, P., &
Dogterom, M. (2016). Chimera proteins with affinity for membranes and microtubule
tips polarize in the membrane of fission yeast cells. PNAS. National Academy
of Sciences. https://doi.org/10.1073/pnas.1419248113
chicago: Recouvreux, Pierre, Thomas R Sokolowski, Aristea Grammoustianou, Pieter
Tenwolde, and Marileen Dogterom. “Chimera Proteins with Affinity for Membranes
and Microtubule Tips Polarize in the Membrane of Fission Yeast Cells.” PNAS.
National Academy of Sciences, 2016. https://doi.org/10.1073/pnas.1419248113.
ieee: P. Recouvreux, T. R. Sokolowski, A. Grammoustianou, P. Tenwolde, and M. Dogterom,
“Chimera proteins with affinity for membranes and microtubule tips polarize in
the membrane of fission yeast cells,” PNAS, vol. 113, no. 7. National Academy
of Sciences, pp. 1811–1816, 2016.
ista: Recouvreux P, Sokolowski TR, Grammoustianou A, Tenwolde P, Dogterom M. 2016.
Chimera proteins with affinity for membranes and microtubule tips polarize in
the membrane of fission yeast cells. PNAS. 113(7), 1811–1816.
mla: Recouvreux, Pierre, et al. “Chimera Proteins with Affinity for Membranes and
Microtubule Tips Polarize in the Membrane of Fission Yeast Cells.” PNAS,
vol. 113, no. 7, National Academy of Sciences, 2016, pp. 1811–16, doi:10.1073/pnas.1419248113.
short: P. Recouvreux, T.R. Sokolowski, A. Grammoustianou, P. Tenwolde, M. Dogterom,
PNAS 113 (2016) 1811–1816.
date_created: 2018-12-11T11:50:55Z
date_published: 2016-02-16T00:00:00Z
date_updated: 2021-01-12T06:49:21Z
day: '16'
department:
- _id: GaTk
doi: 10.1073/pnas.1419248113
intvolume: ' 113'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4763754/
month: '02'
oa: 1
oa_version: Submitted Version
page: 1811 - 1816
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '6085'
quality_controlled: '1'
scopus_import: 1
status: public
title: Chimera proteins with affinity for membranes and microtubule tips polarize
in the membrane of fission yeast cells
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 113
year: '2016'
...
---
_id: '1248'
abstract:
- lang: eng
text: Life depends as much on the flow of information as on the flow of energy.
Here we review the many efforts to make this intuition precise. Starting with
the building blocks of information theory, we explore examples where it has been
possible to measure, directly, the flow of information in biological networks,
or more generally where information-theoretic ideas have been used to guide the
analysis of experiments. Systems of interest range from single molecules (the
sequence diversity in families of proteins) to groups of organisms (the distribution
of velocities in flocks of birds), and all scales in between. Many of these analyses
are motivated by the idea that biological systems may have evolved to optimize
the gathering and representation of information, and we review the experimental
evidence for this optimization, again across a wide range of scales.
acknowledgement: "Our work was supported in part by the US\r\nNational Science Foundation
(PHY–1305525 and CCF–\r\n0939370), by the Austrian Science Foundation (FWF\r\nP25651),
by the Human Frontiers Science Program, and\r\nby the Simons and Swartz Foundations."
author:
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: William
full_name: Bialek, William
last_name: Bialek
citation:
ama: Tkačik G, Bialek W. Information processing in living systems. Annual Review
of Condensed Matter Physics. 2016;7:89-117. doi:10.1146/annurev-conmatphys-031214-014803
apa: Tkačik, G., & Bialek, W. (2016). Information processing in living systems.
Annual Review of Condensed Matter Physics. Annual Reviews. https://doi.org/10.1146/annurev-conmatphys-031214-014803
chicago: Tkačik, Gašper, and William Bialek. “Information Processing in Living Systems.”
Annual Review of Condensed Matter Physics. Annual Reviews, 2016. https://doi.org/10.1146/annurev-conmatphys-031214-014803.
ieee: G. Tkačik and W. Bialek, “Information processing in living systems,” Annual
Review of Condensed Matter Physics, vol. 7. Annual Reviews, pp. 89–117, 2016.
ista: Tkačik G, Bialek W. 2016. Information processing in living systems. Annual
Review of Condensed Matter Physics. 7, 89–117.
mla: Tkačik, Gašper, and William Bialek. “Information Processing in Living Systems.”
Annual Review of Condensed Matter Physics, vol. 7, Annual Reviews, 2016,
pp. 89–117, doi:10.1146/annurev-conmatphys-031214-014803.
short: G. Tkačik, W. Bialek, Annual Review of Condensed Matter Physics 7 (2016)
89–117.
date_created: 2018-12-11T11:50:56Z
date_published: 2016-03-10T00:00:00Z
date_updated: 2021-01-12T06:49:23Z
day: '10'
department:
- _id: GaTk
doi: 10.1146/annurev-conmatphys-031214-014803
intvolume: ' 7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1412.8752
month: '03'
oa: 1
oa_version: Preprint
page: 89 - 117
project:
- _id: 254D1A94-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 25651-N26
name: Sensitivity to higher-order statistics in natural scenes
publication: Annual Review of Condensed Matter Physics
publication_status: published
publisher: Annual Reviews
publist_id: '6080'
quality_controlled: '1'
scopus_import: 1
status: public
title: Information processing in living systems
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2016'
...
---
_id: '1260'
abstract:
- lang: eng
text: In this work, the Gardner problem of inferring interactions and fields for
an Ising neural network from given patterns under a local stability hypothesis
is addressed under a dual perspective. By means of duality arguments, an integer
linear system is defined whose solution space is the dual of the Gardner space
and whose solutions represent mutually unstable patterns. We propose and discuss
Monte Carlo methods in order to find and remove unstable patterns and uniformly
sample the space of interactions thereafter. We illustrate the problem on a set
of real data and perform ensemble calculation that shows how the emergence of
phase dominated by unstable patterns can be triggered in a nonlinear discontinuous
way.
article_number: '1650067'
article_processing_charge: No
article_type: original
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
citation:
ama: De Martino D. The dual of the space of interactions in neural network models.
International Journal of Modern Physics C. 2016;27(6). doi:10.1142/S0129183116500674
apa: De Martino, D. (2016). The dual of the space of interactions in neural network
models. International Journal of Modern Physics C. World Scientific Publishing.
https://doi.org/10.1142/S0129183116500674
chicago: De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network
Models.” International Journal of Modern Physics C. World Scientific Publishing,
2016. https://doi.org/10.1142/S0129183116500674.
ieee: D. De Martino, “The dual of the space of interactions in neural network models,”
International Journal of Modern Physics C, vol. 27, no. 6. World Scientific
Publishing, 2016.
ista: De Martino D. 2016. The dual of the space of interactions in neural network
models. International Journal of Modern Physics C. 27(6), 1650067.
mla: De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network
Models.” International Journal of Modern Physics C, vol. 27, no. 6, 1650067,
World Scientific Publishing, 2016, doi:10.1142/S0129183116500674.
short: D. De Martino, International Journal of Modern Physics C 27 (2016).
date_created: 2018-12-11T11:51:00Z
date_published: 2016-06-01T00:00:00Z
date_updated: 2021-01-12T06:49:28Z
day: '01'
department:
- _id: GaTk
doi: 10.1142/S0129183116500674
external_id:
arxiv:
- '1505.02963'
intvolume: ' 27'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1505.02963
month: '06'
oa: 1
oa_version: Preprint
publication: International Journal of Modern Physics C
publication_status: published
publisher: World Scientific Publishing
publist_id: '6065'
quality_controlled: '1'
scopus_import: 1
status: public
title: The dual of the space of interactions in neural network models
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 27
year: '2016'
...
---
_id: '1266'
abstract:
- lang: eng
text: 'Cortical networks exhibit ‘global oscillations’, in which neural spike times
are entrained to an underlying oscillatory rhythm, but where individual neurons
fire irregularly, on only a fraction of cycles. While the network dynamics underlying
global oscillations have been well characterised, their function is debated. Here,
we show that such global oscillations are a direct consequence of optimal efficient
coding in spiking networks with synaptic delays and noise. To avoid firing unnecessary
spikes, neurons need to share information about the network state. Ideally, membrane
potentials should be strongly correlated and reflect a ‘prediction error’ while
the spikes themselves are uncorrelated and occur rarely. We show that the most
efficient representation is when: (i) spike times are entrained to a global Gamma
rhythm (implying a consistent representation of the error); but (ii) few neurons
fire on each cycle (implying high efficiency), while (iii) excitation and inhibition
are tightly balanced. This suggests that cortical networks exhibiting such dynamics
are tuned to achieve a maximally efficient population code.'
acknowledgement: Boris Gutkin acknowledges funding by the Russian Academic Excellence
Project '5-100’.
article_number: e13824
author:
- first_name: Matthew J
full_name: Chalk, Matthew J
id: 2BAAC544-F248-11E8-B48F-1D18A9856A87
last_name: Chalk
orcid: 0000-0001-7782-4436
- first_name: Boris
full_name: Gutkin, Boris
last_name: Gutkin
- first_name: Sophie
full_name: Denève, Sophie
last_name: Denève
citation:
ama: Chalk MJ, Gutkin B, Denève S. Neural oscillations as a signature of efficient
coding in the presence of synaptic delays. eLife. 2016;5(2016JULY). doi:10.7554/eLife.13824
apa: Chalk, M. J., Gutkin, B., & Denève, S. (2016). Neural oscillations as a
signature of efficient coding in the presence of synaptic delays. ELife.
eLife Sciences Publications. https://doi.org/10.7554/eLife.13824
chicago: Chalk, Matthew J, Boris Gutkin, and Sophie Denève. “Neural Oscillations
as a Signature of Efficient Coding in the Presence of Synaptic Delays.” ELife.
eLife Sciences Publications, 2016. https://doi.org/10.7554/eLife.13824.
ieee: M. J. Chalk, B. Gutkin, and S. Denève, “Neural oscillations as a signature
of efficient coding in the presence of synaptic delays,” eLife, vol. 5,
no. 2016JULY. eLife Sciences Publications, 2016.
ista: Chalk MJ, Gutkin B, Denève S. 2016. Neural oscillations as a signature of
efficient coding in the presence of synaptic delays. eLife. 5(2016JULY), e13824.
mla: Chalk, Matthew J., et al. “Neural Oscillations as a Signature of Efficient
Coding in the Presence of Synaptic Delays.” ELife, vol. 5, no. 2016JULY,
e13824, eLife Sciences Publications, 2016, doi:10.7554/eLife.13824.
short: M.J. Chalk, B. Gutkin, S. Denève, ELife 5 (2016).
date_created: 2018-12-11T11:51:02Z
date_published: 2016-07-01T00:00:00Z
date_updated: 2021-01-12T06:49:30Z
day: '01'
ddc:
- '571'
department:
- _id: GaTk
doi: 10.7554/eLife.13824
file:
- access_level: open_access
checksum: dc52d967dc76174477bb258d84be2899
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:20Z
date_updated: 2020-07-14T12:44:42Z
file_id: '4874'
file_name: IST-2016-700-v1+1_e13824-download.pdf
file_size: 2819055
relation: main_file
file_date_updated: 2020-07-14T12:44:42Z
has_accepted_license: '1'
intvolume: ' 5'
issue: 2016JULY
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: eLife
publication_status: published
publisher: eLife Sciences Publications
publist_id: '6056'
pubrep_id: '700'
quality_controlled: '1'
scopus_import: 1
status: public
title: Neural oscillations as a signature of efficient coding in the presence of synaptic
delays
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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 5
year: '2016'
...
---
_id: '1290'
abstract:
- lang: eng
text: We developed a competition-based screening strategy to identify compounds
that invert the selective advantage of antibiotic resistance. Using our assay,
we screened over 19,000 compounds for the ability to select against the TetA tetracycline-resistance
efflux pump in Escherichia coli and identified two hits, β-thujaplicin and disulfiram.
Treating a tetracycline-resistant population with β-thujaplicin selects for loss
of the resistance gene, enabling an effective second-phase treatment with doxycycline.
acknowledgement: "This work was supported in part by National Institute of Allergy
and Infectious Diseases grant U54 AI057159, US National Institutes of Health grants
R01 GM081617 (to R.K.) and GM086258 (to J.C.), European Research Council FP7 ERC
grant 281891 (to R.K.) and a National Science Foundation Graduate Fellowship (to
L.K.S.).\r\n"
author:
- first_name: Laura
full_name: Stone, Laura
last_name: Stone
- first_name: Michael
full_name: Baym, Michael
last_name: Baym
- first_name: Tami
full_name: Lieberman, Tami
last_name: Lieberman
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Jon
full_name: Clardy, Jon
last_name: Clardy
- first_name: Roy
full_name: Kishony, Roy
last_name: Kishony
citation:
ama: Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. Compounds that
select against the tetracycline-resistance efflux pump. Nature Chemical Biology.
2016;12(11):902-904. doi:10.1038/nchembio.2176
apa: Stone, L., Baym, M., Lieberman, T., Chait, R. P., Clardy, J., & Kishony,
R. (2016). Compounds that select against the tetracycline-resistance efflux pump.
Nature Chemical Biology. Nature Publishing Group. https://doi.org/10.1038/nchembio.2176
chicago: Stone, Laura, Michael Baym, Tami Lieberman, Remy P Chait, Jon Clardy, and
Roy Kishony. “Compounds That Select against the Tetracycline-Resistance Efflux
Pump.” Nature Chemical Biology. Nature Publishing Group, 2016. https://doi.org/10.1038/nchembio.2176.
ieee: L. Stone, M. Baym, T. Lieberman, R. P. Chait, J. Clardy, and R. Kishony, “Compounds
that select against the tetracycline-resistance efflux pump,” Nature Chemical
Biology, vol. 12, no. 11. Nature Publishing Group, pp. 902–904, 2016.
ista: Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. 2016. Compounds
that select against the tetracycline-resistance efflux pump. Nature Chemical Biology.
12(11), 902–904.
mla: Stone, Laura, et al. “Compounds That Select against the Tetracycline-Resistance
Efflux Pump.” Nature Chemical Biology, vol. 12, no. 11, Nature Publishing
Group, 2016, pp. 902–04, doi:10.1038/nchembio.2176.
short: L. Stone, M. Baym, T. Lieberman, R.P. Chait, J. Clardy, R. Kishony, Nature
Chemical Biology 12 (2016) 902–904.
date_created: 2018-12-11T11:51:10Z
date_published: 2016-11-01T00:00:00Z
date_updated: 2021-01-12T06:49:39Z
day: '01'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1038/nchembio.2176
intvolume: ' 12'
issue: '11'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069154/
month: '11'
oa: 1
oa_version: Preprint
page: 902 - 904
publication: Nature Chemical Biology
publication_status: published
publisher: Nature Publishing Group
publist_id: '6026'
quality_controlled: '1'
scopus_import: 1
status: public
title: Compounds that select against the tetracycline-resistance efflux pump
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2016'
...