---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '21245'
abstract:
- lang: eng
text: Flickering light is a new promising, fully non-invasive brain stimulation
technique that utilizes intermittent sensory stimulation to induce brainwave synchronization
(entrainment). While the effects of 40 Hz externally induced neural entrainment
have been extensively described, little is known about 60 Hz entrainment in humans.
This study presents preliminary observations on the neural and somatic response
to flickering 60 Hz light in healthy volunteers over a 3-week period. Fourteen
volunteers were randomized to receive either 60 Hz flickering white light or constant
light as sham (30-min sessions, 3 weeks, 5 days/week on weekdays). Neural entrainment
was assessed with EEG on days 1, 5 and 19. Salivary cortisol and C-reactive protein
(CRP) levels, measured with ELISA, assessed the somatic response to stimulation.
Side effects and well-being were monitored via questionnaires. EEG recordings
showed neural entrainment and synchrony in response to 60 Hz flickering light
across multiple cortical regions, including occipital, central, temporal, and
frontal areas. The entrainment power and synchronization between different cortical
regions declined significantly by day 19 compared to day 1, indicating possible
neural habituation. Cortisol and CRP salivary levels were unchanged, and minor
side effects were reported with equal frequency in the active and sham groups.
Our findings show that 60 Hz flickering light can induce significant neural entrainment
and synchrony in healthy adults and is well tolerated. The decline in entrainment
strength and neural synchrony observed with repeated 60 Hz stimulations suggests
plastic changes in the cortex. To the best of our knowledge, this is the first
study to characterize neural and somatic responses to repeated 60 Hz flickering
visual stimuli. Given the well-known connection between 60 Hz brain oscillations
and cognition, neuroplasticity, and their role in neuropsychiatric disorders,
additional research in both preclinical and clinical settings is warranted.
acknowledgement: This study was funded by Syntropic Medical and supported by an Austria
Wirtschaftsservice (AWS) grant (grant number P2414247 to Syntropic Medical). Syntropic
Medical employees were involved in study design, data collection and analysis, decision
to publish, and preparation of the manuscript. AWS had no role in study design,
data collection and analysis, decision to publish, or preparation of the manuscript.
article_number: e0332310
article_processing_charge: Yes
article_type: original
author:
- first_name: MohammadAmin
full_name: Alamalhoda, MohammadAmin
last_name: Alamalhoda
- first_name: Friederike
full_name: Leesch, Friederike
last_name: Leesch
- first_name: Francesca
full_name: Giovanetti, Francesca
last_name: Giovanetti
- first_name: Eoghan
full_name: Dunne, Eoghan
last_name: Dunne
- first_name: Giuseppina
full_name: Pilloni, Giuseppina
last_name: Pilloni
- first_name: Mark
full_name: Caffrey, Mark
last_name: Caffrey
- first_name: Jack
full_name: O’Keeffe, Jack
last_name: O’Keeffe
- first_name: Alessandro
full_name: Venturino, Alessandro
id: 41CB84B2-F248-11E8-B48F-1D18A9856A87
last_name: Venturino
orcid: 0000-0003-2356-9403
- first_name: Maria Teresa
full_name: Ferretti, Maria Teresa
last_name: Ferretti
citation:
ama: Alamalhoda M, Leesch F, Giovanetti F, et al. Exploring neural entrainment and
synchrony in response to repeated 60 Hz flickering white light in healthy volunteers.
PLOS One. 2025;20(10). doi:10.1371/journal.pone.0332310
apa: Alamalhoda, M., Leesch, F., Giovanetti, F., Dunne, E., Pilloni, G., Caffrey,
M., … Ferretti, M. T. (2025). Exploring neural entrainment and synchrony in response
to repeated 60 Hz flickering white light in healthy volunteers. PLOS One.
Public Library of Science. https://doi.org/10.1371/journal.pone.0332310
chicago: Alamalhoda, MohammadAmin, Friederike Leesch, Francesca Giovanetti, Eoghan
Dunne, Giuseppina Pilloni, Mark Caffrey, Jack O’Keeffe, Alessandro Venturino,
and Maria Teresa Ferretti. “Exploring Neural Entrainment and Synchrony in Response
to Repeated 60 Hz Flickering White Light in Healthy Volunteers.” PLOS One.
Public Library of Science, 2025. https://doi.org/10.1371/journal.pone.0332310.
ieee: M. Alamalhoda et al., “Exploring neural entrainment and synchrony in
response to repeated 60 Hz flickering white light in healthy volunteers,” PLOS
One, vol. 20, no. 10. Public Library of Science, 2025.
ista: Alamalhoda M, Leesch F, Giovanetti F, Dunne E, Pilloni G, Caffrey M, O’Keeffe
J, Venturino A, Ferretti MT. 2025. Exploring neural entrainment and synchrony
in response to repeated 60 Hz flickering white light in healthy volunteers. PLOS
One. 20(10), e0332310.
mla: Alamalhoda, MohammadAmin, et al. “Exploring Neural Entrainment and Synchrony
in Response to Repeated 60 Hz Flickering White Light in Healthy Volunteers.” PLOS
One, vol. 20, no. 10, e0332310, Public Library of Science, 2025, doi:10.1371/journal.pone.0332310.
short: M. Alamalhoda, F. Leesch, F. Giovanetti, E. Dunne, G. Pilloni, M. Caffrey,
J. O’Keeffe, A. Venturino, M.T. Ferretti, PLOS One 20 (2025).
date_created: 2026-02-16T15:29:26Z
date_published: 2025-10-07T00:00:00Z
date_updated: 2026-02-17T12:19:15Z
day: '07'
ddc:
- '570'
department:
- _id: SaSi
doi: 10.1371/journal.pone.0332310
external_id:
pmid:
- '41056352 '
file:
- access_level: open_access
checksum: 22a4e92a733152633c4553f107f66765
content_type: application/pdf
creator: dernst
date_created: 2026-02-17T12:16:18Z
date_updated: 2026-02-17T12:16:18Z
file_id: '21301'
file_name: 2025_PlosOne_Alamalhoda.pdf
file_size: 1388424
relation: main_file
success: 1
file_date_updated: 2026-02-17T12:16:18Z
has_accepted_license: '1'
intvolume: ' 20'
issue: '10'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLOS One
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/AminAlam/HVS
status: public
title: Exploring neural entrainment and synchrony in response to repeated 60 Hz flickering
white light in healthy volunteers
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2025'
...
---
_id: '12706'
abstract:
- lang: eng
text: Allometric settings of population dynamics models are appealing due to their
parsimonious nature and broad utility when studying system level effects. Here,
we parameterise the size-scaled Rosenzweig-MacArthur differential equations to
eliminate prey-mass dependency, facilitating an in depth analytic study of the
equations which incorporates scaling parameters’ contributions to coexistence.
We define the functional response term to match empirical findings, and examine
situations where metabolic theory derivations and observation diverge. The dynamical
properties of the Rosenzweig-MacArthur system, encompassing the distribution of
size-abundance equilibria, the scaling of period and amplitude of population cycling,
and relationships between predator and prey abundances, are consistent with empirical
observation. Our parameterisation is an accurate minimal model across 15+ orders
of mass magnitude.
acknowledgement: "This research was supported by an Australian Government Research
Training Program\r\n(RTP) Scholarship to JCM (https://www.dese.gov.au), and LB is
supported by the Centre de\r\nrecherche sur le vieillissement Fellowship Program.
The funders had no role in study design, data collection and analysis, decision
to publish, or preparation of the manuscript."
article_processing_charge: No
article_type: original
author:
- first_name: Jody C.
full_name: Mckerral, Jody C.
last_name: Mckerral
- first_name: Maria
full_name: Kleshnina, Maria
id: 4E21749C-F248-11E8-B48F-1D18A9856A87
last_name: Kleshnina
- first_name: Vladimir
full_name: Ejov, Vladimir
last_name: Ejov
- first_name: Louise
full_name: Bartle, Louise
last_name: Bartle
- first_name: James G.
full_name: Mitchell, James G.
last_name: Mitchell
- first_name: Jerzy A.
full_name: Filar, Jerzy A.
last_name: Filar
citation:
ama: Mckerral JC, Kleshnina M, Ejov V, Bartle L, Mitchell JG, Filar JA. Empirical
parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur
equations. PLoS One. 2023;18(2):e0279838. doi:10.1371/journal.pone.0279838
apa: Mckerral, J. C., Kleshnina, M., Ejov, V., Bartle, L., Mitchell, J. G., &
Filar, J. A. (2023). Empirical parameterisation and dynamical analysis of the
allometric Rosenzweig-MacArthur equations. PLoS One. Public Library of
Science. https://doi.org/10.1371/journal.pone.0279838
chicago: Mckerral, Jody C., Maria Kleshnina, Vladimir Ejov, Louise Bartle, James
G. Mitchell, and Jerzy A. Filar. “Empirical Parameterisation and Dynamical Analysis
of the Allometric Rosenzweig-MacArthur Equations.” PLoS One. Public Library
of Science, 2023. https://doi.org/10.1371/journal.pone.0279838.
ieee: J. C. Mckerral, M. Kleshnina, V. Ejov, L. Bartle, J. G. Mitchell, and J. A.
Filar, “Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur
equations,” PLoS One, vol. 18, no. 2. Public Library of Science, p. e0279838,
2023.
ista: Mckerral JC, Kleshnina M, Ejov V, Bartle L, Mitchell JG, Filar JA. 2023. Empirical
parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur
equations. PLoS One. 18(2), e0279838.
mla: Mckerral, Jody C., et al. “Empirical Parameterisation and Dynamical Analysis
of the Allometric Rosenzweig-MacArthur Equations.” PLoS One, vol. 18, no.
2, Public Library of Science, 2023, p. e0279838, doi:10.1371/journal.pone.0279838.
short: J.C. Mckerral, M. Kleshnina, V. Ejov, L. Bartle, J.G. Mitchell, J.A. Filar,
PLoS One 18 (2023) e0279838.
date_created: 2023-03-05T23:01:05Z
date_published: 2023-02-27T00:00:00Z
date_updated: 2023-10-17T12:53:30Z
day: '27'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1371/journal.pone.0279838
external_id:
isi:
- '000996122900022'
pmid:
- '36848357'
file:
- access_level: open_access
checksum: 798ed5739a4117b03173e5d56e0534c9
content_type: application/pdf
creator: cchlebak
date_created: 2023-03-07T10:26:45Z
date_updated: 2023-03-07T10:26:45Z
file_id: '12712'
file_name: 2023_PLOSOne_Mckerral.pdf
file_size: 1257003
relation: main_file
success: 1
file_date_updated: 2023-03-07T10:26:45Z
has_accepted_license: '1'
intvolume: ' 18'
isi: 1
issue: '2'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: e0279838
pmid: 1
publication: PLoS One
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur
equations
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 18
year: '2023'
...
---
_id: '12758'
abstract:
- lang: eng
text: AlphaFold changed the field of structural biology by achieving three-dimensional
(3D) structure prediction from protein sequence at experimental quality. The astounding
success even led to claims that the protein folding problem is “solved”. However,
protein folding problem is more than just structure prediction from sequence.
Presently, it is unknown if the AlphaFold-triggered revolution could help to solve
other problems related to protein folding. Here we assay the ability of AlphaFold
to predict the impact of single mutations on protein stability (ΔΔG) and function.
To study the question we extracted the pLDDT and metrics from AlphaFold
predictions before and after single mutation in a protein and correlated the predicted
change with the experimentally known ΔΔG values. Additionally, we correlated the
same AlphaFold pLDDT metrics with the impact of a single mutation on structure
using a large scale dataset of single mutations in GFP with the experimentally
assayed levels of fluorescence. We found a very weak or no correlation between
AlphaFold output metrics and change of protein stability or fluorescence. Our
results imply that AlphaFold may not be immediately applied to other problems
or applications in protein folding.
acknowledgement: The authors acknowledge the use of Zhores supercomputer [28] for
obtaining the results presented in this paper.The authors thank Zimin Foundation
and Petrovax for support of the presented study at the School of Molecular and Theoretical
Biology 2021.
article_number: e0282689
article_processing_charge: No
article_type: original
author:
- first_name: Marina A.
full_name: Pak, Marina A.
last_name: Pak
- first_name: Karina A.
full_name: Markhieva, Karina A.
last_name: Markhieva
- first_name: Mariia S.
full_name: Novikova, Mariia S.
last_name: Novikova
- first_name: Dmitry S.
full_name: Petrov, Dmitry S.
last_name: Petrov
- first_name: Ilya S.
full_name: Vorobyev, Ilya S.
last_name: Vorobyev
- first_name: Ekaterina
full_name: Maksimova, Ekaterina
id: 2FBE0DE4-F248-11E8-B48F-1D18A9856A87
last_name: Maksimova
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Dmitry N.
full_name: Ivankov, Dmitry N.
last_name: Ivankov
citation:
ama: Pak MA, Markhieva KA, Novikova MS, et al. Using AlphaFold to predict the impact
of single mutations on protein stability and function. PLoS ONE. 2023;18(3).
doi:10.1371/journal.pone.0282689
apa: Pak, M. A., Markhieva, K. A., Novikova, M. S., Petrov, D. S., Vorobyev, I.
S., Maksimova, E., … Ivankov, D. N. (2023). Using AlphaFold to predict the impact
of single mutations on protein stability and function. PLoS ONE. Public
Library of Science. https://doi.org/10.1371/journal.pone.0282689
chicago: Pak, Marina A., Karina A. Markhieva, Mariia S. Novikova, Dmitry S. Petrov,
Ilya S. Vorobyev, Ekaterina Maksimova, Fyodor Kondrashov, and Dmitry N. Ivankov.
“Using AlphaFold to Predict the Impact of Single Mutations on Protein Stability
and Function.” PLoS ONE. Public Library of Science, 2023. https://doi.org/10.1371/journal.pone.0282689.
ieee: M. A. Pak et al., “Using AlphaFold to predict the impact of single
mutations on protein stability and function,” PLoS ONE, vol. 18, no. 3.
Public Library of Science, 2023.
ista: Pak MA, Markhieva KA, Novikova MS, Petrov DS, Vorobyev IS, Maksimova E, Kondrashov
F, Ivankov DN. 2023. Using AlphaFold to predict the impact of single mutations
on protein stability and function. PLoS ONE. 18(3), e0282689.
mla: Pak, Marina A., et al. “Using AlphaFold to Predict the Impact of Single Mutations
on Protein Stability and Function.” PLoS ONE, vol. 18, no. 3, e0282689,
Public Library of Science, 2023, doi:10.1371/journal.pone.0282689.
short: M.A. Pak, K.A. Markhieva, M.S. Novikova, D.S. Petrov, I.S. Vorobyev, E. Maksimova,
F. Kondrashov, D.N. Ivankov, PLoS ONE 18 (2023).
date_created: 2023-03-26T22:01:07Z
date_published: 2023-03-16T00:00:00Z
date_updated: 2025-04-23T08:50:30Z
day: '16'
ddc:
- '570'
department:
- _id: FyKo
- _id: MaRo
doi: 10.1371/journal.pone.0282689
external_id:
isi:
- '000985134400106'
pmid:
- '36928239'
file:
- access_level: open_access
checksum: 0281bdfccf8d76c4e08dd011c603f6b6
content_type: application/pdf
creator: dernst
date_created: 2023-03-27T07:09:08Z
date_updated: 2023-03-27T07:09:08Z
file_id: '12771'
file_name: 2023_PLoSOne_Pak.pdf
file_size: 856625
relation: main_file
success: 1
file_date_updated: 2023-03-27T07:09:08Z
has_accepted_license: '1'
intvolume: ' 18'
isi: 1
issue: '3'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS ONE
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Using AlphaFold to predict the impact of single mutations on protein stability
and function
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 18
year: '2023'
...
---
_id: '12759'
abstract:
- lang: eng
text: Stereological methods for estimating the 3D particle size and density from
2D projections are essential to many research fields. These methods are, however,
prone to errors arising from undetected particle profiles due to sectioning and
limited resolution, known as ‘lost caps’. A potential solution developed by Keiding,
Jensen, and Ranek in 1972, which we refer to as the Keiding model, accounts for
lost caps by quantifying the smallest detectable profile in terms of its limiting
‘cap angle’ (ϕ), a size-independent measure of a particle’s distance from the
section surface. However, this simple solution has not been widely adopted nor
tested. Rather, model-independent design-based stereological methods, which do
not explicitly account for lost caps, have come to the fore. Here, we provide
the first experimental validation of the Keiding model by comparing the size and
density of particles estimated from 2D projections with direct measurement from
3D EM reconstructions of the same tissue. We applied the Keiding model to estimate
the size and density of somata, nuclei and vesicles in the cerebellum of mice
and rats, where high packing density can be problematic for design-based methods.
Our analysis reveals a Gaussian distribution for ϕ rather than a single value.
Nevertheless, curve fits of the Keiding model to the 2D diameter distribution
accurately estimate the mean ϕ and 3D diameter distribution. While systematic
testing using simulations revealed an upper limit to determining ϕ, our analysis
shows that estimated ϕ can be used to determine the 3D particle density from the
2D density under a wide range of conditions, and this method is potentially more
accurate than minimum-size-based lost-cap corrections and disector methods. Our
results show the Keiding model provides an efficient means of accurately estimating
the size and density of particles from 2D projections even under conditions of
a high density.
acknowledged_ssus:
- _id: EM-Fac
acknowledgement: "We thank the IST Austria Electron Microscopy Facility for technical
support, and Diccon Coyle, Andrea Lőrincz and Zoltan Nusser for their helpful comments
and discussions.\r\nFunding for JSR and RAS was from the Wellcome Trust (203048;
224499; https://\r\nwellcome.org/). RAS is in receipt of a Wellcome Trust Principal
Research Fellowship (224499).\r\nFunding for CBM and PJ was from Fond zur Förderung
der Wissenschaftlichen Forschung (V\r\n739-B27 Elise-Richter Programme to CBM, Z
312-B27 Wittgenstein Award to PJ; \r\nhttps://www.fwf.ac.at). PJ received funding
from the European Research Council (ERC; https://erc.europa.eu) under the European
Union’s Horizon 2020 research and innovation programme (grant agreement no. 692692).
NH was supported by a European\r\nResearch Council Advanced Grant (ERC-AG787157)."
article_number: e0277148
article_processing_charge: No
article_type: original
author:
- first_name: Jason Seth
full_name: Rothman, Jason Seth
last_name: Rothman
- first_name: Carolina
full_name: Borges Merjane, Carolina
id: 4305C450-F248-11E8-B48F-1D18A9856A87
last_name: Borges Merjane
orcid: 0000-0003-0005-401X
- first_name: Noemi
full_name: Holderith, Noemi
last_name: Holderith
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
- first_name: R.
full_name: Angus Silver, R.
last_name: Angus Silver
citation:
ama: Rothman JS, Borges Merjane C, Holderith N, Jonas PM, Angus Silver R. Validation
of a stereological method for estimating particle size and density from 2D projections
with high accuracy. PLoS ONE. 2023;18(3 March). doi:10.1371/journal.pone.0277148
apa: Rothman, J. S., Borges Merjane, C., Holderith, N., Jonas, P. M., & Angus
Silver, R. (2023). Validation of a stereological method for estimating particle
size and density from 2D projections with high accuracy. PLoS ONE. Public
Library of Science. https://doi.org/10.1371/journal.pone.0277148
chicago: Rothman, Jason Seth, Carolina Borges Merjane, Noemi Holderith, Peter M
Jonas, and R. Angus Silver. “Validation of a Stereological Method for Estimating
Particle Size and Density from 2D Projections with High Accuracy.” PLoS ONE.
Public Library of Science, 2023. https://doi.org/10.1371/journal.pone.0277148.
ieee: J. S. Rothman, C. Borges Merjane, N. Holderith, P. M. Jonas, and R. Angus
Silver, “Validation of a stereological method for estimating particle size and
density from 2D projections with high accuracy,” PLoS ONE, vol. 18, no.
3 March. Public Library of Science, 2023.
ista: Rothman JS, Borges Merjane C, Holderith N, Jonas PM, Angus Silver R. 2023.
Validation of a stereological method for estimating particle size and density
from 2D projections with high accuracy. PLoS ONE. 18(3 March), e0277148.
mla: Rothman, Jason Seth, et al. “Validation of a Stereological Method for Estimating
Particle Size and Density from 2D Projections with High Accuracy.” PLoS ONE,
vol. 18, no. 3 March, e0277148, Public Library of Science, 2023, doi:10.1371/journal.pone.0277148.
short: J.S. Rothman, C. Borges Merjane, N. Holderith, P.M. Jonas, R. Angus Silver,
PLoS ONE 18 (2023).
date_created: 2023-03-26T22:01:07Z
date_published: 2023-03-17T00:00:00Z
date_updated: 2025-04-23T08:50:50Z
day: '17'
ddc:
- '570'
department:
- _id: PeJo
doi: 10.1371/journal.pone.0277148
ec_funded: 1
external_id:
isi:
- '001024737400001'
pmid:
- '36930689'
file:
- access_level: open_access
checksum: 2380331ec27cc87808826fc64419ac1c
content_type: application/pdf
creator: dernst
date_created: 2023-03-27T06:51:09Z
date_updated: 2023-03-27T06:51:09Z
file_id: '12770'
file_name: 2023_PLoSOne_Rothman.pdf
file_size: 7290413
relation: main_file
success: 1
file_date_updated: 2023-03-27T06:51:09Z
has_accepted_license: '1'
intvolume: ' 18'
isi: 1
issue: 3 March
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glutamatergic synapse
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: Synaptic communication in neuronal microcircuits
- _id: 2696E7FE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: V00739
name: Structural plasticity at mossy fiber-CA3 synapses
publication: PLoS ONE
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Validation of a stereological method for estimating particle size and density
from 2D projections with high accuracy
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 18
year: '2023'
...
---
_id: '11704'
abstract:
- lang: eng
text: In Fall 2020, several European countries reported rapid increases in COVID-19
cases along with growing estimates of the effective reproduction rates. Such an
acceleration in epidemic spread is usually attributed to time-dependent effects,
e.g. human travel, seasonal behavioral changes, mutations of the pathogen etc.
In this case however the acceleration occurred when counter measures such as testing
and contact tracing exceeded their capacity limit. Considering Austria as an example,
here we show that this dynamics can be captured by a time-independent, i.e. autonomous,
compartmental model that incorporates these capacity limits. In this model, the
epidemic acceleration coincides with the exhaustion of mitigation efforts, resulting
in an increasing fraction of undetected cases that drive the effective reproduction
rate progressively higher. We demonstrate that standard models which does not
include this effect necessarily result in a systematic underestimation of the
effective reproduction rate.
article_number: e0269975
article_processing_charge: No
article_type: original
author:
- first_name: Nazmi B
full_name: Budanur, Nazmi B
id: 3EA1010E-F248-11E8-B48F-1D18A9856A87
last_name: Budanur
orcid: 0000-0003-0423-5010
- first_name: Björn
full_name: Hof, Björn
id: 3A374330-F248-11E8-B48F-1D18A9856A87
last_name: Hof
orcid: 0000-0003-2057-2754
citation:
ama: Budanur NB, Hof B. An autonomous compartmental model for accelerating epidemics.
PLoS ONE. 2022;17(7). doi:10.1371/journal.pone.0269975
apa: Budanur, N. B., & Hof, B. (2022). An autonomous compartmental model for
accelerating epidemics. PLoS ONE. Public Library of Science. https://doi.org/10.1371/journal.pone.0269975
chicago: Budanur, Nazmi B, and Björn Hof. “An Autonomous Compartmental Model for
Accelerating Epidemics.” PLoS ONE. Public Library of Science, 2022. https://doi.org/10.1371/journal.pone.0269975.
ieee: N. B. Budanur and B. Hof, “An autonomous compartmental model for accelerating
epidemics,” PLoS ONE, vol. 17, no. 7. Public Library of Science, 2022.
ista: Budanur NB, Hof B. 2022. An autonomous compartmental model for accelerating
epidemics. PLoS ONE. 17(7), e0269975.
mla: Budanur, Nazmi B., and Björn Hof. “An Autonomous Compartmental Model for Accelerating
Epidemics.” PLoS ONE, vol. 17, no. 7, e0269975, Public Library of Science,
2022, doi:10.1371/journal.pone.0269975.
short: N.B. Budanur, B. Hof, PLoS ONE 17 (2022).
corr_author: '1'
date_created: 2022-07-31T22:01:48Z
date_published: 2022-07-18T00:00:00Z
date_updated: 2025-06-11T13:37:36Z
day: '18'
ddc:
- '510'
department:
- _id: BjHo
doi: 10.1371/journal.pone.0269975
external_id:
isi:
- '000911392100055'
pmid:
- '35849565'
file:
- access_level: open_access
checksum: 1ddd9b91e6dec31ab0e7a8433ca2d452
content_type: application/pdf
creator: dernst
date_created: 2022-08-01T08:02:38Z
date_updated: 2022-08-01T08:02:38Z
file_id: '11712'
file_name: 2022_PLoSONE_Budanur.pdf
file_size: 1421256
relation: main_file
success: 1
file_date_updated: 2022-08-01T08:02:38Z
has_accepted_license: '1'
intvolume: ' 17'
isi: 1
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS ONE
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
record:
- id: '11711'
relation: research_data
status: public
scopus_import: '1'
status: public
title: An autonomous compartmental model for accelerating epidemics
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2022'
...
---
_id: '9362'
abstract:
- lang: eng
text: A central goal in systems neuroscience is to understand the functions performed
by neural circuits. Previous top-down models addressed this question by comparing
the behaviour of an ideal model circuit, optimised to perform a given function,
with neural recordings. However, this requires guessing in advance what function
is being performed, which may not be possible for many neural systems. To address
this, we propose an inverse reinforcement learning (RL) framework for inferring
the function performed by a neural network from data. We assume that the responses
of each neuron in a network are optimised so as to drive the network towards ‘rewarded’
states, that are desirable for performing a given function. We then show how one
can use inverse RL to infer the reward function optimised by the network from
observing its responses. This inferred reward function can be used to predict
how the neural network should adapt its dynamics to perform the same function
when the external environment or network structure changes. This could lead to
theoretical predictions about how neural network dynamics adapt to deal with cell
death and/or varying sensory stimulus statistics.
acknowledgement: The authors would like to thank Ulisse Ferrari for useful discussions
and feedback.
article_number: e0248940
article_processing_charge: No
article_type: original
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: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Olivier
full_name: Marre, Olivier
last_name: Marre
citation:
ama: Chalk MJ, Tkačik G, Marre O. Inferring the function performed by a recurrent
neural network. PLoS ONE. 2021;16(4). doi:10.1371/journal.pone.0248940
apa: Chalk, M. J., Tkačik, G., & Marre, O. (2021). Inferring the function performed
by a recurrent neural network. PLoS ONE. Public Library of Science. https://doi.org/10.1371/journal.pone.0248940
chicago: Chalk, Matthew J, Gašper Tkačik, and Olivier Marre. “Inferring the Function
Performed by a Recurrent Neural Network.” PLoS ONE. Public Library of Science,
2021. https://doi.org/10.1371/journal.pone.0248940.
ieee: M. J. Chalk, G. Tkačik, and O. Marre, “Inferring the function performed by
a recurrent neural network,” PLoS ONE, vol. 16, no. 4. Public Library of
Science, 2021.
ista: Chalk MJ, Tkačik G, Marre O. 2021. Inferring the function performed by a recurrent
neural network. PLoS ONE. 16(4), e0248940.
mla: Chalk, Matthew J., et al. “Inferring the Function Performed by a Recurrent
Neural Network.” PLoS ONE, vol. 16, no. 4, e0248940, Public Library of
Science, 2021, doi:10.1371/journal.pone.0248940.
short: M.J. Chalk, G. Tkačik, O. Marre, PLoS ONE 16 (2021).
date_created: 2021-05-02T22:01:28Z
date_published: 2021-04-15T00:00:00Z
date_updated: 2026-04-02T13:58:56Z
day: '15'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1371/journal.pone.0248940
external_id:
isi:
- '000641474900072'
pmid:
- '33857170'
file:
- access_level: open_access
checksum: c52da133850307d2031f552d998f00e8
content_type: application/pdf
creator: kschuh
date_created: 2021-05-04T13:22:19Z
date_updated: 2021-05-04T13:22:19Z
file_id: '9371'
file_name: 2021_pone_Chalk.pdf
file_size: 2768282
relation: main_file
success: 1
file_date_updated: 2021-05-04T13:22:19Z
has_accepted_license: '1'
intvolume: ' 16'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS ONE
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Inferring the function performed by a recurrent neural network
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: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 16
year: '2021'
...
---
_id: '9816'
abstract:
- lang: eng
text: "Aims: Mass antigen testing programs have been challenged because of an alleged
insufficient specificity, leading to a large number of false positives. The objective
of this study is to derive a lower bound of the specificity of the SD Biosensor
Standard Q Ag-Test in large scale practical use.\r\nMethods: Based on county data
from the nationwide tests for SARS-CoV-2 in Slovakia between 31.10.–1.11. 2020
we calculate a lower confidence bound for the specificity. As positive test results
were not systematically verified by PCR tests, we base the lower bound on a worst
case assumption, assuming all positives to be false positives.\r\nResults: 3,625,332
persons from 79 counties were tested. The lowest positivity rate was observed
in the county of Rožňava where 100 out of 34307 (0.29%) tests were positive. This
implies a test specificity of at least 99.6% (97.5% one-sided lower confidence
bound, adjusted for multiplicity).\r\nConclusion: The obtained lower bound suggests
a higher specificity compared to earlier studies in spite of the underlying worst
case assumption and the application in a mass testing setting. The actual specificity
is expected to exceed 99.6% if the prevalence in the respective regions was non-negligible
at the time of testing. To our knowledge, this estimate constitutes the first
bound obtained from large scale practical use of an antigen test."
acknowledgement: We would like to thank Alfred Uhl, Richard Kollár and Katarína Bod’ová
for very helpful comments. We also thank Matej Mišík for discussion and information
regarding the Slovak testing data and Ag-Test used.
article_number: e0255267
article_processing_charge: Yes
article_type: original
author:
- first_name: Michal
full_name: Hledik, Michal
id: 4171253A-F248-11E8-B48F-1D18A9856A87
last_name: Hledik
- first_name: Jitka
full_name: Polechova, Jitka
id: 3BBFB084-F248-11E8-B48F-1D18A9856A87
last_name: Polechova
orcid: 0000-0003-0951-3112
- first_name: Mathias
full_name: Beiglböck, Mathias
last_name: Beiglböck
- first_name: Anna Nele
full_name: Herdina, Anna Nele
last_name: Herdina
- first_name: Robert
full_name: Strassl, Robert
last_name: Strassl
- first_name: Martin
full_name: Posch, Martin
last_name: Posch
citation:
ama: Hledik M, Polechova J, Beiglböck M, Herdina AN, Strassl R, Posch M. Analysis
of the specificity of a COVID-19 antigen test in the Slovak mass testing program.
PLoS ONE. 2021;16(7). doi:10.1371/journal.pone.0255267
apa: Hledik, M., Polechova, J., Beiglböck, M., Herdina, A. N., Strassl, R., &
Posch, M. (2021). Analysis of the specificity of a COVID-19 antigen test in the
Slovak mass testing program. PLoS ONE. Public Library of Science. https://doi.org/10.1371/journal.pone.0255267
chicago: Hledik, Michal, Jitka Polechova, Mathias Beiglböck, Anna Nele Herdina,
Robert Strassl, and Martin Posch. “Analysis of the Specificity of a COVID-19 Antigen
Test in the Slovak Mass Testing Program.” PLoS ONE. Public Library of Science,
2021. https://doi.org/10.1371/journal.pone.0255267.
ieee: M. Hledik, J. Polechova, M. Beiglböck, A. N. Herdina, R. Strassl, and M. Posch,
“Analysis of the specificity of a COVID-19 antigen test in the Slovak mass testing
program,” PLoS ONE, vol. 16, no. 7. Public Library of Science, 2021.
ista: Hledik M, Polechova J, Beiglböck M, Herdina AN, Strassl R, Posch M. 2021.
Analysis of the specificity of a COVID-19 antigen test in the Slovak mass testing
program. PLoS ONE. 16(7), e0255267.
mla: Hledik, Michal, et al. “Analysis of the Specificity of a COVID-19 Antigen Test
in the Slovak Mass Testing Program.” PLoS ONE, vol. 16, no. 7, e0255267,
Public Library of Science, 2021, doi:10.1371/journal.pone.0255267.
short: M. Hledik, J. Polechova, M. Beiglböck, A.N. Herdina, R. Strassl, M. Posch,
PLoS ONE 16 (2021).
date_created: 2021-08-08T22:01:26Z
date_published: 2021-07-29T00:00:00Z
date_updated: 2023-08-10T14:26:32Z
day: '29'
ddc:
- '610'
department:
- _id: NiBa
doi: 10.1371/journal.pone.0255267
external_id:
isi:
- '000685248200095'
pmid:
- '34324553'
file:
- access_level: open_access
checksum: ae4df60eb62f4491278588548d0c1f93
content_type: application/pdf
creator: asandaue
date_created: 2021-08-09T11:52:14Z
date_updated: 2021-08-09T11:52:14Z
file_id: '9835'
file_name: 2021_PLoSONE_Hledík.pdf
file_size: 773921
relation: main_file
success: 1
file_date_updated: 2021-08-09T11:52:14Z
has_accepted_license: '1'
intvolume: ' 16'
isi: 1
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS ONE
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Analysis of the specificity of a COVID-19 antigen test in the Slovak mass testing
program
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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 16
year: '2021'
...
---
_id: '9821'
abstract:
- lang: eng
text: Heart rate variability (hrv) is a physiological phenomenon of the variation
in the length of the time interval between consecutive heartbeats. In many cases
it could be an indicator of the development of pathological states. The classical
approach to the analysis of hrv includes time domain methods and frequency domain
methods. However, attempts are still being made to define new and more effective
hrv assessment tools. Persistent homology is a novel data analysis tool developed
in the recent decades that is rooted at algebraic topology. The Topological Data
Analysis (TDA) approach focuses on examining the shape of the data in terms of
connectedness and holes, and has recently proved to be very effective in various
fields of research. In this paper we propose the use of persistent homology to
the hrv analysis. We recall selected topological descriptors used in the literature
and we introduce some new topological descriptors that reflect the specificity
of hrv, and we discuss their relation to the standard hrv measures. In particular,
we show that this novel approach provides a collection of indices that might be
at least as useful as the classical parameters in differentiating between series
of beat-to-beat intervals (RR-intervals) in healthy subjects and patients suffering
from a stroke episode.
acknowledgement: We express our gratitude to the anonymous referees who provided constructive
comments that helped us improve the quality of the paper.
article_number: e0253851
article_processing_charge: Yes
article_type: original
author:
- first_name: Grzegorz
full_name: Graff, Grzegorz
last_name: Graff
- first_name: Beata
full_name: Graff, Beata
last_name: Graff
- first_name: Pawel
full_name: Pilarczyk, Pawel
id: 3768D56A-F248-11E8-B48F-1D18A9856A87
last_name: Pilarczyk
- first_name: Grzegorz
full_name: Jablonski, Grzegorz
id: 4483EF78-F248-11E8-B48F-1D18A9856A87
last_name: Jablonski
orcid: 0000-0002-3536-9866
- first_name: Dariusz
full_name: Gąsecki, Dariusz
last_name: Gąsecki
- first_name: Krzysztof
full_name: Narkiewicz, Krzysztof
last_name: Narkiewicz
citation:
ama: Graff G, Graff B, Pilarczyk P, Jablonski G, Gąsecki D, Narkiewicz K. Persistent
homology as a new method of the assessment of heart rate variability. PLoS
ONE. 2021;16(7). doi:10.1371/journal.pone.0253851
apa: Graff, G., Graff, B., Pilarczyk, P., Jablonski, G., Gąsecki, D., & Narkiewicz,
K. (2021). Persistent homology as a new method of the assessment of heart rate
variability. PLoS ONE. Public Library of Science. https://doi.org/10.1371/journal.pone.0253851
chicago: Graff, Grzegorz, Beata Graff, Pawel Pilarczyk, Grzegorz Jablonski, Dariusz
Gąsecki, and Krzysztof Narkiewicz. “Persistent Homology as a New Method of the
Assessment of Heart Rate Variability.” PLoS ONE. Public Library of Science,
2021. https://doi.org/10.1371/journal.pone.0253851.
ieee: G. Graff, B. Graff, P. Pilarczyk, G. Jablonski, D. Gąsecki, and K. Narkiewicz,
“Persistent homology as a new method of the assessment of heart rate variability,”
PLoS ONE, vol. 16, no. 7. Public Library of Science, 2021.
ista: Graff G, Graff B, Pilarczyk P, Jablonski G, Gąsecki D, Narkiewicz K. 2021.
Persistent homology as a new method of the assessment of heart rate variability.
PLoS ONE. 16(7), e0253851.
mla: Graff, Grzegorz, et al. “Persistent Homology as a New Method of the Assessment
of Heart Rate Variability.” PLoS ONE, vol. 16, no. 7, e0253851, Public
Library of Science, 2021, doi:10.1371/journal.pone.0253851.
short: G. Graff, B. Graff, P. Pilarczyk, G. Jablonski, D. Gąsecki, K. Narkiewicz,
PLoS ONE 16 (2021).
date_created: 2021-08-08T22:01:28Z
date_published: 2021-07-01T00:00:00Z
date_updated: 2026-04-02T13:56:42Z
day: '01'
ddc:
- '006'
department:
- _id: HeEd
doi: 10.1371/journal.pone.0253851
external_id:
isi:
- '000678124900050'
pmid:
- '34292957'
file:
- access_level: open_access
checksum: 0277aa155d5db1febd2cb384768bba5f
content_type: application/pdf
creator: asandaue
date_created: 2021-08-09T09:25:41Z
date_updated: 2021-08-09T09:25:41Z
file_id: '9832'
file_name: 2021_PLoSONE_Graff.pdf
file_size: 2706919
relation: main_file
success: 1
file_date_updated: 2021-08-09T09:25:41Z
has_accepted_license: '1'
intvolume: ' 16'
isi: 1
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS ONE
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Persistent homology as a new method of the assessment of heart rate variability
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: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 16
year: '2021'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '906'
abstract:
- lang: eng
text: The origin and evolution of novel biochemical functions remains one of the
key questions in molecular evolution. We study recently emerged methacrylate reductase
function that is thought to have emerged in the last century and reported in Geobacter
sulfurreducens strain AM-1. We report the sequence and study the evolution of
the operon coding for the flavin-containing methacrylate reductase (Mrd) and tetraheme
cytochrome (Mcc) in the genome of G. sulfurreducens AM-1. Different types of signal
peptides in functionally interlinked proteins Mrd and Mcc suggest a possible complex
mechanism of biogenesis for chromoproteids of the methacrylate redox system. The
homologs of the Mrd and Mcc sequence found in δ-Proteobacteria and Deferribacteres
are also organized into an operon and their phylogenetic distribution suggested
that these two genes tend to be horizontally transferred together. Specifically,
the mrd and mcc genes from G. sulfurreducens AM-1 are not monophyletic with any
of the homologs found in other Geobacter genomes. The acquisition of methacrylate
reductase function by G. sulfurreducens AM-1 appears linked to a horizontal gene
transfer event. However, the new function of the products of mrd and mcc may have
evolved either prior or subsequent to their acquisition by G. sulfurreducens AM-1.
acknowledgement: 'Funding: The work has been supported by a grant of the HHMI International
Early Career Scientist Program (55007424), the Spanish Ministry of Economy and Competitiveness
(EUI-EURYIP-2011-4320) as part of the EMBO YIP program, two grants from the Spanish
Ministry of Economy and Competitiveness, "Centro de Excelencia Severo Ochoa 2013–2017
(Sev-2012-0208)" and (BFU2012-31329), the European Union and the European Research
Council under grant agreement 335980_EinME. The funders had no role in study design,
data collection and analysis, decision to publish, or preparation of the manuscript.Our
author Dr., Prof. Akimenko Vasilii K. (1942–2013) passed away during work on the
article. Prof. Akimenko was a leading biochemist in IBPM RAS and active researcher
until last days. A number of his work remains unfinished. We mourn premature care
of Prof. Akimenko Vasilii. We thank Heinz Himmelbauer and the CRG Genomic Unit for
the sequencing.'
article_processing_charge: No
article_type: original
author:
- first_name: Oksana
full_name: Arkhipova, Oksana
last_name: Arkhipova
- first_name: Margarita
full_name: Meer, Margarita
last_name: Meer
- first_name: Galina
full_name: Mikoulinskaia, Galina
last_name: Mikoulinskaia
- first_name: Marina
full_name: Zakharova, Marina
last_name: Zakharova
- first_name: Alexander
full_name: Galushko, Alexander
last_name: Galushko
- first_name: Vasilii
full_name: Akimenko, Vasilii
last_name: Akimenko
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
citation:
ama: Arkhipova O, Meer M, Mikoulinskaia G, et al. Recent origin of the methacrylate
redox system in Geobacter sulfurreducens AM-1 through horizontal gene transfer.
PLoS One. 2015;10(5). doi:10.1371/journal.pone.0125888
apa: Arkhipova, O., Meer, M., Mikoulinskaia, G., Zakharova, M., Galushko, A., Akimenko,
V., & Kondrashov, F. (2015). Recent origin of the methacrylate redox system
in Geobacter sulfurreducens AM-1 through horizontal gene transfer. PLoS One.
Public Library of Science. https://doi.org/10.1371/journal.pone.0125888
chicago: Arkhipova, Oksana, Margarita Meer, Galina Mikoulinskaia, Marina Zakharova,
Alexander Galushko, Vasilii Akimenko, and Fyodor Kondrashov. “Recent Origin of
the Methacrylate Redox System in Geobacter Sulfurreducens AM-1 through Horizontal
Gene Transfer.” PLoS One. Public Library of Science, 2015. https://doi.org/10.1371/journal.pone.0125888.
ieee: O. Arkhipova et al., “Recent origin of the methacrylate redox system
in Geobacter sulfurreducens AM-1 through horizontal gene transfer,” PLoS One,
vol. 10, no. 5. Public Library of Science, 2015.
ista: Arkhipova O, Meer M, Mikoulinskaia G, Zakharova M, Galushko A, Akimenko V,
Kondrashov F. 2015. Recent origin of the methacrylate redox system in Geobacter
sulfurreducens AM-1 through horizontal gene transfer. PLoS One. 10(5).
mla: Arkhipova, Oksana, et al. “Recent Origin of the Methacrylate Redox System in
Geobacter Sulfurreducens AM-1 through Horizontal Gene Transfer.” PLoS One,
vol. 10, no. 5, Public Library of Science, 2015, doi:10.1371/journal.pone.0125888.
short: O. Arkhipova, M. Meer, G. Mikoulinskaia, M. Zakharova, A. Galushko, V. Akimenko,
F. Kondrashov, PLoS One 10 (2015).
date_created: 2018-12-11T11:49:08Z
date_published: 2015-05-11T00:00:00Z
date_updated: 2026-05-19T08:57:00Z
day: '11'
doi: 10.1371/journal.pone.0125888
extern: '1'
external_id:
pmid:
- '25962149'
intvolume: ' 10'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1371/journal.pone.0125888
month: '05'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS One
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
publist_id: '6742'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Recent origin of the methacrylate redox system in Geobacter sulfurreducens
AM-1 through horizontal gene transfer
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 10
year: '2015'
...
---
OA_type: gold
_id: '3906'
acknowledgement: 'Funding was obtained from the European Community: FP5 EU research-training
network ‘INSECTS’ (JJB SC PD FPD DPH) and FP6 Individual Marie Curie EIF grant (SC),
the Alexander-von-Humboldt Foundation (Feodor-Lynen postdoctoral stipend to SC),
the Danish Natural Science Research Council (JSP), the Danish National Research
Foundation (JJB DRN JSP), and the Austrian Science Fund (BCS FMS CS HK).'
article_number: e3838
article_processing_charge: No
article_type: original
author:
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
- first_name: Line V
full_name: Ugelvig, Line V
id: 3DC97C8E-F248-11E8-B48F-1D18A9856A87
last_name: Ugelvig
orcid: 0000-0003-1832-8883
- first_name: Falko
full_name: Drijfhout, Falko
last_name: Drijfhout
- first_name: Birgit
full_name: Schlick Steiner, Birgit
last_name: Schlick Steiner
- first_name: Florian
full_name: Steiner, Florian
last_name: Steiner
- first_name: Bernhard
full_name: Seifert, Bernhard
last_name: Seifert
- first_name: David
full_name: Hughes, David
last_name: Hughes
- first_name: Andreas
full_name: Schulz, Andreas
last_name: Schulz
- first_name: Klaus
full_name: Petersen, Klaus
last_name: Petersen
- first_name: Heino
full_name: Konrad, Heino
last_name: Konrad
- first_name: Christian
full_name: Stauffer, Christian
last_name: Stauffer
- first_name: Kadri
full_name: Kiran, Kadri
last_name: Kiran
- first_name: Xavier
full_name: Espadaler, Xavier
last_name: Espadaler
- first_name: Patrizia
full_name: D'Ettorre, Patrizia
last_name: D'Ettorre
- first_name: Nihat
full_name: Aktaç, Nihat
last_name: Aktaç
- first_name: Jørgen
full_name: Eilenberg, Jørgen
last_name: Eilenberg
- first_name: Graeme
full_name: Jones, Graeme
last_name: Jones
- first_name: David
full_name: Nash, David
last_name: Nash
- first_name: Jes
full_name: Pedersen, Jes
last_name: Pedersen
- first_name: Jacobus
full_name: Boomsma, Jacobus
last_name: Boomsma
citation:
ama: Cremer S, Ugelvig LV, Drijfhout F, et al. The evolution of invasiveness in
garden ants. PLoS One. 2008;3(12). doi:10.1371/journal.pone.0003838
apa: Cremer, S., Ugelvig, L. V., Drijfhout, F., Schlick Steiner, B., Steiner, F.,
Seifert, B., … Boomsma, J. (2008). The evolution of invasiveness in garden ants.
PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0003838
chicago: Cremer, Sylvia, Line V Ugelvig, Falko Drijfhout, Birgit Schlick Steiner,
Florian Steiner, Bernhard Seifert, David Hughes, et al. “The Evolution of Invasiveness
in Garden Ants.” PLoS One. Public Library of Science, 2008. https://doi.org/10.1371/journal.pone.0003838.
ieee: S. Cremer et al., “The evolution of invasiveness in garden ants,” PLoS
One, vol. 3, no. 12. Public Library of Science, 2008.
ista: Cremer S, Ugelvig LV, Drijfhout F, Schlick Steiner B, Steiner F, Seifert B,
Hughes D, Schulz A, Petersen K, Konrad H, Stauffer C, Kiran K, Espadaler X, D’Ettorre
P, Aktaç N, Eilenberg J, Jones G, Nash D, Pedersen J, Boomsma J. 2008. The evolution
of invasiveness in garden ants. PLoS One. 3(12), e3838.
mla: Cremer, Sylvia, et al. “The Evolution of Invasiveness in Garden Ants.” PLoS
One, vol. 3, no. 12, e3838, Public Library of Science, 2008, doi:10.1371/journal.pone.0003838.
short: S. Cremer, L.V. Ugelvig, F. Drijfhout, B. Schlick Steiner, F. Steiner, B.
Seifert, D. Hughes, A. Schulz, K. Petersen, H. Konrad, C. Stauffer, K. Kiran,
X. Espadaler, P. D’Ettorre, N. Aktaç, J. Eilenberg, G. Jones, D. Nash, J. Pedersen,
J. Boomsma, PLoS One 3 (2008).
date_created: 2018-12-11T12:05:49Z
date_published: 2008-12-03T00:00:00Z
date_updated: 2026-05-29T09:35:45Z
day: '03'
doi: 10.1371/journal.pone.0003838
extern: '1'
external_id:
pmid:
- '19050762'
intvolume: ' 3'
issue: '12'
language:
- iso: eng
month: '12'
oa_version: None
pmid: 1
publication: PLoS One
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
publist_id: '2247'
status: public
title: The evolution of invasiveness in garden ants
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 3
year: '2008'
...
---
OA_place: publisher
OA_type: gold
_id: '3970'
abstract:
- lang: eng
text: 'While genome-wide gene expression data are generated at an increasing rate,
the repertoire of approaches for pattern discovery in these data is still limited.
Identifying subtle patterns of interest in large amounts of data (tens of thousands
of profiles) associated with a certain level of noise remains a challenge. A microarray
time series was recently generated to study the transcriptional program of the
mouse segmentation clock, a biological oscillator associated with the periodic
formation of the segments of the body axis. A method related to Fourier analysis,
the Lomb-Scargle periodogram, was used to detect periodic profiles in the dataset,
leading to the identification of a novel set of cyclic genes associated with the
segmentation clock. Here, we applied to the same microarray time series dataset
four distinct mathematical methods to identify significant patterns in gene expression
profiles. These methods are called: Phase consistency, Address reduction, Cyclohedron
test and Stable persistence, and are based on different conceptual frameworks
that are either hypothesis- or data-driven. Some of the methods, unlike Fourier
transforms, are not dependent on the assumption of periodicity of the pattern
of interest. Remarkably, these methods identified blindly the expression profiles
of known cyclic genes as the most significant patterns in the dataset. Many candidate
genes predicted by more than one approach appeared to be true positive cyclic
genes and will be of particular interest for future research. In addition, these
methods predicted novel candidate cyclic genes that were consistent with previous
biological knowledge and experimental validation in mouse embryos. Our results
demonstrate the utility of these novel pattern detection strategies, notably for
detection of periodic profiles, and suggest that combining several distinct mathematical
approaches to analyze microarray datasets is a valuable strategy for identifying
genes that exhibit novel, interesting transcriptional patterns.'
acknowledgement: This research was partially supported by DARPA grant HR 0011-05-1-0057.
HE and YM mathematical work was supported by DARPA grant HR0011-05-1-0007. AS research
was supported by a Lucent Technologies Bell Labs Graduate Research. Fellowship;
AK and MR research was supported by NIH grant GM U54 GM74942; and SA research was
supported by Association pour la Recherche sur le Cancer (ARC), France. OP, AM,
MLD, EG and GH research was supported by the Stowers Institute for Medical Research.
OP is a Howard Hughes Medical Institute Investigator.
article_processing_charge: No
article_type: original
author:
- first_name: Mary
full_name: Dequéant, Mary
last_name: Dequéant
- first_name: Sebastian
full_name: Ahnert, Sebastian
last_name: Ahnert
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Thomas
full_name: Fink, Thomas
last_name: Fink
- first_name: Earl
full_name: Glynn, Earl
last_name: Glynn
- first_name: Gaye
full_name: Hattem, Gaye
last_name: Hattem
- first_name: Andrzej
full_name: Kudlicki, Andrzej
last_name: Kudlicki
- first_name: Yuriy
full_name: Mileyko, Yuriy
last_name: Mileyko
- first_name: Jason
full_name: Morton, Jason
last_name: Morton
- first_name: Arcady
full_name: Mushegian, Arcady
last_name: Mushegian
- first_name: Lior
full_name: Pachter, Lior
last_name: Pachter
- first_name: Maga
full_name: Rowicka, Maga
last_name: Rowicka
- first_name: Anne
full_name: Shiu, Anne
last_name: Shiu
- first_name: Bernd
full_name: Sturmfels, Bernd
last_name: Sturmfels
- first_name: Olivier
full_name: Pourquie, Olivier
last_name: Pourquie
citation:
ama: Dequéant M, Ahnert S, Edelsbrunner H, et al. Comparison of pattern detection
methods in microarray time series of the segmentation clock. PLoS One.
2008;3(8). doi:10.1371/journal.pone.0002856
apa: Dequéant, M., Ahnert, S., Edelsbrunner, H., Fink, T., Glynn, E., Hattem, G.,
… Pourquie, O. (2008). Comparison of pattern detection methods in microarray time
series of the segmentation clock. PLoS One. Public Library of Science.
https://doi.org/10.1371/journal.pone.0002856
chicago: Dequéant, Mary, Sebastian Ahnert, Herbert Edelsbrunner, Thomas Fink, Earl
Glynn, Gaye Hattem, Andrzej Kudlicki, et al. “Comparison of Pattern Detection
Methods in Microarray Time Series of the Segmentation Clock.” PLoS One.
Public Library of Science, 2008. https://doi.org/10.1371/journal.pone.0002856.
ieee: M. Dequéant et al., “Comparison of pattern detection methods in microarray
time series of the segmentation clock,” PLoS One, vol. 3, no. 8. Public
Library of Science, 2008.
ista: Dequéant M, Ahnert S, Edelsbrunner H, Fink T, Glynn E, Hattem G, Kudlicki
A, Mileyko Y, Morton J, Mushegian A, Pachter L, Rowicka M, Shiu A, Sturmfels B,
Pourquie O. 2008. Comparison of pattern detection methods in microarray time series
of the segmentation clock. PLoS One. 3(8).
mla: Dequéant, Mary, et al. “Comparison of Pattern Detection Methods in Microarray
Time Series of the Segmentation Clock.” PLoS One, vol. 3, no. 8, Public
Library of Science, 2008, doi:10.1371/journal.pone.0002856.
short: M. Dequéant, S. Ahnert, H. Edelsbrunner, T. Fink, E. Glynn, G. Hattem, A.
Kudlicki, Y. Mileyko, J. Morton, A. Mushegian, L. Pachter, M. Rowicka, A. Shiu,
B. Sturmfels, O. Pourquie, PLoS One 3 (2008).
date_created: 2018-12-11T12:06:11Z
date_published: 2008-08-06T00:00:00Z
date_updated: 2026-05-29T09:10:12Z
day: '06'
doi: 10.1371/journal.pone.0002856
extern: '1'
external_id:
pmid:
- '18682743'
intvolume: ' 3'
issue: '8'
language:
- iso: eng
month: '08'
oa_version: None
pmid: 1
publication: PLoS One
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
publist_id: '2157'
status: public
title: Comparison of pattern detection methods in microarray time series of the segmentation
clock
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 3
year: '2008'
...