---
_id: '5858'
abstract:
- lang: eng
text: Spatial patterns are ubiquitous on the subcellular, cellular and tissue level,
and can be studied using imaging techniques such as light and fluorescence microscopy.
Imaging data provide quantitative information about biological systems; however,
mechanisms causing spatial patterning often remain elusive. In recent years, spatio-temporal
mathematical modelling has helped to overcome this problem. Yet, outliers and
structured noise limit modelling of whole imaging data, and models often consider
spatial summary statistics. Here, we introduce an integrated data-driven modelling
approach that can cope with measurement artefacts and whole imaging data. Our
approach combines mechanistic models of the biological processes with robust statistical
models of the measurement process. The parameters of the integrated model are
calibrated using a maximum-likelihood approach. We used this integrated modelling
approach to study in vivo gradients of the chemokine (C-C motif) ligand 21 (CCL21).
CCL21 gradients guide dendritic cells and are important in the adaptive immune
response. Using artificial data, we verified that the integrated modelling approach
provides reliable parameter estimates in the presence of measurement noise and
that bias and variance of these estimates are reduced compared to conventional
approaches. The application to experimental data allowed the parametrization and
subsequent refinement of the model using additional mechanisms. Among other results,
model-based hypothesis testing predicted lymphatic vessel-dependent concentration
of heparan sulfate, the binding partner of CCL21. The selected model provided
an accurate description of the experimental data and was partially validated using
published data. Our findings demonstrate that integrated statistical modelling
of whole imaging data is computationally feasible and can provide novel biological
insights.
article_number: '20180600'
article_processing_charge: No
author:
- first_name: Sabrina
full_name: Hross, Sabrina
last_name: Hross
- first_name: Fabian J.
full_name: Theis, Fabian J.
last_name: Theis
- first_name: Michael K
full_name: Sixt, Michael K
id: 41E9FBEA-F248-11E8-B48F-1D18A9856A87
last_name: Sixt
orcid: 0000-0002-6620-9179
- first_name: Jan
full_name: Hasenauer, Jan
last_name: Hasenauer
citation:
ama: Hross S, Theis FJ, Sixt MK, Hasenauer J. Mechanistic description of spatial
processes using integrative modelling of noise-corrupted imaging data. Journal
of the Royal Society Interface. 2018;15(149). doi:10.1098/rsif.2018.0600
apa: Hross, S., Theis, F. J., Sixt, M. K., & Hasenauer, J. (2018). Mechanistic
description of spatial processes using integrative modelling of noise-corrupted
imaging data. Journal of the Royal Society Interface. Royal Society Publishing.
https://doi.org/10.1098/rsif.2018.0600
chicago: Hross, Sabrina, Fabian J. Theis, Michael K Sixt, and Jan Hasenauer. “Mechanistic
Description of Spatial Processes Using Integrative Modelling of Noise-Corrupted
Imaging Data.” Journal of the Royal Society Interface. Royal Society Publishing,
2018. https://doi.org/10.1098/rsif.2018.0600.
ieee: S. Hross, F. J. Theis, M. K. Sixt, and J. Hasenauer, “Mechanistic description
of spatial processes using integrative modelling of noise-corrupted imaging data,”
Journal of the Royal Society Interface, vol. 15, no. 149. Royal Society
Publishing, 2018.
ista: Hross S, Theis FJ, Sixt MK, Hasenauer J. 2018. Mechanistic description of
spatial processes using integrative modelling of noise-corrupted imaging data.
Journal of the Royal Society Interface. 15(149), 20180600.
mla: Hross, Sabrina, et al. “Mechanistic Description of Spatial Processes Using
Integrative Modelling of Noise-Corrupted Imaging Data.” Journal of the Royal
Society Interface, vol. 15, no. 149, 20180600, Royal Society Publishing, 2018,
doi:10.1098/rsif.2018.0600.
short: S. Hross, F.J. Theis, M.K. Sixt, J. Hasenauer, Journal of the Royal Society
Interface 15 (2018).
date_created: 2019-01-20T22:59:18Z
date_published: 2018-12-05T00:00:00Z
date_updated: 2023-09-13T08:55:05Z
day: '05'
ddc:
- '570'
department:
- _id: MiSi
doi: 10.1098/rsif.2018.0600
external_id:
isi:
- '000456783800011'
file:
- access_level: open_access
checksum: 56eb4308a15b7190bff938fab1f780e8
content_type: application/pdf
creator: dernst
date_created: 2019-02-05T14:46:44Z
date_updated: 2020-07-14T12:47:13Z
file_id: '5925'
file_name: 2018_Interface_Hross.pdf
file_size: 1464288
relation: main_file
file_date_updated: 2020-07-14T12:47:13Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '149'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
publication: Journal of the Royal Society Interface
publication_identifier:
issn:
- '17425689'
publication_status: published
publisher: Royal Society Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Mechanistic description of spatial processes using integrative modelling of
noise-corrupted imaging data
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: 15
year: '2018'
...
---
_id: '5860'
abstract:
- lang: eng
text: 'A major problem for evolutionary theory is understanding the so-called open-ended
nature of evolutionary change, from its definition to its origins. Open-ended
evolution (OEE) refers to the unbounded increase in complexity that seems to characterize
evolution on multiple scales. This property seems to be a characteristic feature
of biological and technological evolution and is strongly tied to the generative
potential associated with combinatorics, which allows the system to grow and expand
their available state spaces. Interestingly, many complex systems presumably displaying
OEE, from language to proteins, share a common statistical property: the presence
of Zipf''s Law. Given an inventory of basic items (such as words or protein domains)
required to build more complex structures (sentences or proteins) Zipf''s Law
tells us that most of these elements are rare whereas a few of them are extremely
common. Using algorithmic information theory, in this paper we provide a fundamental
definition for open-endedness, which can be understood as postulates. Its statistical
counterpart, based on standard Shannon information theory, has the structure of
a variational problem which is shown to lead to Zipf''s Law as the expected consequence
of an evolutionary process displaying OEE. We further explore the problem of information
conservation through an OEE process and we conclude that statistical information
(standard Shannon information) is not conserved, resulting in the paradoxical
situation in which the increase of information content has the effect of erasing
itself. We prove that this paradox is solved if we consider non-statistical forms
of information. This last result implies that standard information theory may
not be a suitable theoretical framework to explore the persistence and increase
of the information content in OEE systems.'
article_number: '20180395'
article_processing_charge: No
arxiv: 1
author:
- first_name: Bernat
full_name: Corominas-Murtra, Bernat
id: 43BE2298-F248-11E8-B48F-1D18A9856A87
last_name: Corominas-Murtra
orcid: 0000-0001-9806-5643
- first_name: Luís F.
full_name: Seoane, Luís F.
last_name: Seoane
- first_name: Ricard
full_name: Solé, Ricard
last_name: Solé
citation:
ama: Corominas-Murtra B, Seoane LF, Solé R. Zipf’s Law, unbounded complexity and
open-ended evolution. Journal of the Royal Society Interface. 2018;15(149).
doi:10.1098/rsif.2018.0395
apa: Corominas-Murtra, B., Seoane, L. F., & Solé, R. (2018). Zipf’s Law, unbounded
complexity and open-ended evolution. Journal of the Royal Society Interface.
Royal Society Publishing. https://doi.org/10.1098/rsif.2018.0395
chicago: Corominas-Murtra, Bernat, Luís F. Seoane, and Ricard Solé. “Zipf’s Law,
Unbounded Complexity and Open-Ended Evolution.” Journal of the Royal Society
Interface. Royal Society Publishing, 2018. https://doi.org/10.1098/rsif.2018.0395.
ieee: B. Corominas-Murtra, L. F. Seoane, and R. Solé, “Zipf’s Law, unbounded complexity
and open-ended evolution,” Journal of the Royal Society Interface, vol.
15, no. 149. Royal Society Publishing, 2018.
ista: Corominas-Murtra B, Seoane LF, Solé R. 2018. Zipf’s Law, unbounded complexity
and open-ended evolution. Journal of the Royal Society Interface. 15(149), 20180395.
mla: Corominas-Murtra, Bernat, et al. “Zipf’s Law, Unbounded Complexity and Open-Ended
Evolution.” Journal of the Royal Society Interface, vol. 15, no. 149, 20180395,
Royal Society Publishing, 2018, doi:10.1098/rsif.2018.0395.
short: B. Corominas-Murtra, L.F. Seoane, R. Solé, Journal of the Royal Society Interface
15 (2018).
date_created: 2019-01-20T22:59:19Z
date_published: 2018-12-12T00:00:00Z
date_updated: 2023-09-19T10:40:38Z
day: '12'
department:
- _id: EdHa
doi: 10.1098/rsif.2018.0395
external_id:
arxiv:
- '1612.01605'
isi:
- '000456783800002'
intvolume: ' 15'
isi: 1
issue: '149'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1612.01605
month: '12'
oa: 1
oa_version: Preprint
publication: Journal of the Royal Society Interface
publication_identifier:
issn:
- '17425689'
publication_status: published
publisher: Royal Society Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Zipf's Law, unbounded complexity and open-ended evolution
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 15
year: '2018'
...
---
_id: '1077'
abstract:
- lang: eng
text: Viral capsids are structurally constrained by interactions among the amino
acids (AAs) of their constituent proteins. Therefore, epistasis is expected to
evolve among physically interacting sites and to influence the rates of substitution.
To study the evolution of epistasis, we focused on the major structural protein
of the fX174 phage family by first reconstructing the ancestral protein sequences
of 18 species using a Bayesian statistical framework. The inferred ancestral reconstruction
differed at eight AAs, for a total of 256 possible ancestral haplotypes. For each
ancestral haplotype and the extant species, we estimated, in silico, the distribution
of free energies and epistasis of the capsid structure. We found that free energy
has not significantly increased but epistasis has. We decomposed epistasis up
to fifth order and found that higher-order epistasis sometimes compensates pairwise
interactions making the free energy seem additive. The dN/dS ratio is low, suggesting
strong purifying selection, and that structure is under stabilizing selection.
We synthesized phages carrying ancestral haplotypes of the coat protein gene and
measured their fitness experimentally. Our findings indicate that stabilizing
mutations can have higher fitness, and that fitness optima do not necessarily
coincide with energy minima.
article_number: '20160139'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Rodrigo A
full_name: Fernandes Redondo, Rodrigo A
id: 409D5C96-F248-11E8-B48F-1D18A9856A87
last_name: Fernandes Redondo
orcid: 0000-0002-5837-2793
- first_name: Harold
full_name: Vladar, Harold
id: 2A181218-F248-11E8-B48F-1D18A9856A87
last_name: Vladar
orcid: 0000-0002-5985-7653
- first_name: Tomasz
full_name: Włodarski, Tomasz
last_name: Włodarski
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
citation:
ama: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. Evolutionary interplay
between structure, energy and epistasis in the coat protein of the ϕX174 phage
family. Journal of the Royal Society Interface. 2017;14(126). doi:10.1098/rsif.2016.0139
apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., & Bollback, J.
P. (2017). Evolutionary interplay between structure, energy and epistasis in the
coat protein of the ϕX174 phage family. Journal of the Royal Society Interface.
Royal Society of London. https://doi.org/10.1098/rsif.2016.0139
chicago: Fernandes Redondo, Rodrigo A, Harold de Vladar, Tomasz Włodarski, and Jonathan
P Bollback. “Evolutionary Interplay between Structure, Energy and Epistasis in
the Coat Protein of the ΦX174 Phage Family.” Journal of the Royal Society Interface.
Royal Society of London, 2017. https://doi.org/10.1098/rsif.2016.0139.
ieee: R. A. Fernandes Redondo, H. de Vladar, T. Włodarski, and J. P. Bollback, “Evolutionary
interplay between structure, energy and epistasis in the coat protein of the ϕX174
phage family,” Journal of the Royal Society Interface, vol. 14, no. 126.
Royal Society of London, 2017.
ista: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. 2017. Evolutionary
interplay between structure, energy and epistasis in the coat protein of the ϕX174
phage family. Journal of the Royal Society Interface. 14(126), 20160139.
mla: Fernandes Redondo, Rodrigo A., et al. “Evolutionary Interplay between Structure,
Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.” Journal
of the Royal Society Interface, vol. 14, no. 126, 20160139, Royal Society
of London, 2017, doi:10.1098/rsif.2016.0139.
short: R.A. Fernandes Redondo, H. de Vladar, T. Włodarski, J.P. Bollback, Journal
of the Royal Society Interface 14 (2017).
date_created: 2018-12-11T11:50:01Z
date_published: 2017-01-04T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '04'
ddc:
- '570'
department:
- _id: NiBa
- _id: JoBo
doi: 10.1098/rsif.2016.0139
ec_funded: 1
external_id:
isi:
- '000393380400001'
file:
- access_level: open_access
content_type: application/pdf
creator: dernst
date_created: 2019-01-18T09:14:02Z
date_updated: 2019-01-18T09:14:02Z
file_id: '5843'
file_name: 2017_JRSI_Redondo.pdf
file_size: 1092015
relation: main_file
success: 1
file_date_updated: 2019-01-18T09:14:02Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
issue: '126'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: Journal of the Royal Society Interface
publication_identifier:
issn:
- '17425689'
publication_status: published
publisher: Royal Society of London
publist_id: '6303'
quality_controlled: '1'
related_material:
record:
- id: '9864'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Evolutionary interplay between structure, energy and epistasis in the coat
protein of the ϕX174 phage family
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: 14
year: '2017'
...