---
_id: '457'
abstract:
- lang: eng
text: Temperate bacteriophages integrate in bacterial genomes as prophages and represent
an important source of genetic variation for bacterial evolution, frequently transmitting
fitness-augmenting genes such as toxins responsible for virulence of major pathogens.
However, only a fraction of bacteriophage infections are lysogenic and lead to
prophage acquisition, whereas the majority are lytic and kill the infected bacteria.
Unless able to discriminate lytic from lysogenic infections, mechanisms of immunity
to bacteriophages are expected to act as a double-edged sword and increase the
odds of survival at the cost of depriving bacteria of potentially beneficial prophages.
We show that although restriction-modification systems as mechanisms of innate
immunity prevent both lytic and lysogenic infections indiscriminately in individual
bacteria, they increase the number of prophage-acquiring individuals at the population
level. We find that this counterintuitive result is a consequence of phage-host
population dynamics, in which restriction-modification systems delay infection
onset until bacteria reach densities at which the probability of lysogeny increases.
These results underscore the importance of population-level dynamics as a key
factor modulating costs and benefits of immunity to temperate bacteriophages
article_processing_charge: No
author:
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Dominik
full_name: Refardt, Dominik
last_name: Refardt
- first_name: Bruce
full_name: Levin, Bruce
last_name: Levin
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Pleska M, Lang M, Refardt D, Levin B, Guet CC. Phage-host population dynamics
promotes prophage acquisition in bacteria with innate immunity. Nature Ecology
and Evolution. 2018;2(2):359-366. doi:10.1038/s41559-017-0424-z
apa: Pleska, M., Lang, M., Refardt, D., Levin, B., & Guet, C. C. (2018). Phage-host
population dynamics promotes prophage acquisition in bacteria with innate immunity.
Nature Ecology and Evolution. Springer Nature. https://doi.org/10.1038/s41559-017-0424-z
chicago: Pleska, Maros, Moritz Lang, Dominik Refardt, Bruce Levin, and Calin C Guet.
“Phage-Host Population Dynamics Promotes Prophage Acquisition in Bacteria with
Innate Immunity.” Nature Ecology and Evolution. Springer Nature, 2018.
https://doi.org/10.1038/s41559-017-0424-z.
ieee: M. Pleska, M. Lang, D. Refardt, B. Levin, and C. C. Guet, “Phage-host population
dynamics promotes prophage acquisition in bacteria with innate immunity,” Nature
Ecology and Evolution, vol. 2, no. 2. Springer Nature, pp. 359–366, 2018.
ista: Pleska M, Lang M, Refardt D, Levin B, Guet CC. 2018. Phage-host population
dynamics promotes prophage acquisition in bacteria with innate immunity. Nature
Ecology and Evolution. 2(2), 359–366.
mla: Pleska, Maros, et al. “Phage-Host Population Dynamics Promotes Prophage Acquisition
in Bacteria with Innate Immunity.” Nature Ecology and Evolution, vol. 2,
no. 2, Springer Nature, 2018, pp. 359–66, doi:10.1038/s41559-017-0424-z.
short: M. Pleska, M. Lang, D. Refardt, B. Levin, C.C. Guet, Nature Ecology and Evolution
2 (2018) 359–366.
date_created: 2018-12-11T11:46:35Z
date_published: 2018-02-01T00:00:00Z
date_updated: 2023-09-15T12:04:57Z
day: '01'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1038/s41559-017-0424-z
ec_funded: 1
external_id:
isi:
- '000426516400027'
intvolume: ' 2'
isi: 1
issue: '2'
language:
- iso: eng
month: '02'
oa_version: None
page: 359 - 366
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 251BCBEC-B435-11E9-9278-68D0E5697425
grant_number: RGY0079/2011
name: Multi-Level Conflicts in Evolutionary Dynamics of Restriction-Modification
Systems (HFSP Young investigators' grant)
- _id: 251D65D8-B435-11E9-9278-68D0E5697425
grant_number: '24210'
name: Effects of Stochasticity on the Function of Restriction-Modi cation Systems
at the Single-Cell Level (DOC Fellowship)
publication: Nature Ecology and Evolution
publication_status: published
publisher: Springer Nature
publist_id: '7364'
quality_controlled: '1'
related_material:
record:
- id: '202'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Phage-host population dynamics promotes prophage acquisition in bacteria with
innate immunity
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2
year: '2018'
...
---
_id: '5984'
abstract:
- lang: eng
text: G-protein-coupled receptors (GPCRs) form the largest receptor family, relay
environmental stimuli to changes in cell behavior and represent prime drug targets.
Many GPCRs are classified as orphan receptors because of the limited knowledge
on their ligands and coupling to cellular signaling machineries. Here, we engineer
a library of 63 chimeric receptors that contain the signaling domains of human
orphan and understudied GPCRs functionally linked to the light-sensing domain
of rhodopsin. Upon stimulation with visible light, we identify activation of canonical
cell signaling pathways, including cAMP-, Ca2+-, MAPK/ERK-, and Rho-dependent
pathways, downstream of the engineered receptors. For the human pseudogene GPR33,
we resurrect a signaling function that supports its hypothesized role as a pathogen
entry site. These results demonstrate that substituting unknown chemical activators
with a light switch can reveal information about protein function and provide
an optically controlled protein library for exploring the physiology and therapeutic
potential of understudied GPCRs.
article_number: '1950'
article_processing_charge: No
author:
- first_name: Maurizio
full_name: Morri, Maurizio
id: 4863116E-F248-11E8-B48F-1D18A9856A87
last_name: Morri
- first_name: Inmaculada
full_name: Sanchez-Romero, Inmaculada
id: 3D9C5D30-F248-11E8-B48F-1D18A9856A87
last_name: Sanchez-Romero
- first_name: Alexandra-Madelaine
full_name: Tichy, Alexandra-Madelaine
id: 29D8BB2C-F248-11E8-B48F-1D18A9856A87
last_name: Tichy
- first_name: Stephanie
full_name: Kainrath, Stephanie
id: 32CFBA64-F248-11E8-B48F-1D18A9856A87
last_name: Kainrath
- first_name: Elliot J.
full_name: Gerrard, Elliot J.
last_name: Gerrard
- first_name: Priscila
full_name: Hirschfeld, Priscila
id: 435ACB3A-F248-11E8-B48F-1D18A9856A87
last_name: Hirschfeld
- first_name: Jan
full_name: Schwarz, Jan
id: 346C1EC6-F248-11E8-B48F-1D18A9856A87
last_name: Schwarz
- first_name: Harald L
full_name: Janovjak, Harald L
id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
last_name: Janovjak
orcid: 0000-0002-8023-9315
citation:
ama: Morri M, Sanchez-Romero I, Tichy A-M, et al. Optical functionalization of human
class A orphan G-protein-coupled receptors. Nature Communications. 2018;9(1).
doi:10.1038/s41467-018-04342-1
apa: Morri, M., Sanchez-Romero, I., Tichy, A.-M., Kainrath, S., Gerrard, E. J.,
Hirschfeld, P., … Janovjak, H. L. (2018). Optical functionalization of human class
A orphan G-protein-coupled receptors. Nature Communications. Springer Nature.
https://doi.org/10.1038/s41467-018-04342-1
chicago: Morri, Maurizio, Inmaculada Sanchez-Romero, Alexandra-Madelaine Tichy,
Stephanie Kainrath, Elliot J. Gerrard, Priscila Hirschfeld, Jan Schwarz, and Harald
L Janovjak. “Optical Functionalization of Human Class A Orphan G-Protein-Coupled
Receptors.” Nature Communications. Springer Nature, 2018. https://doi.org/10.1038/s41467-018-04342-1.
ieee: M. Morri et al., “Optical functionalization of human class A orphan
G-protein-coupled receptors,” Nature Communications, vol. 9, no. 1. Springer
Nature, 2018.
ista: Morri M, Sanchez-Romero I, Tichy A-M, Kainrath S, Gerrard EJ, Hirschfeld P,
Schwarz J, Janovjak HL. 2018. Optical functionalization of human class A orphan
G-protein-coupled receptors. Nature Communications. 9(1), 1950.
mla: Morri, Maurizio, et al. “Optical Functionalization of Human Class A Orphan
G-Protein-Coupled Receptors.” Nature Communications, vol. 9, no. 1, 1950,
Springer Nature, 2018, doi:10.1038/s41467-018-04342-1.
short: M. Morri, I. Sanchez-Romero, A.-M. Tichy, S. Kainrath, E.J. Gerrard, P. Hirschfeld,
J. Schwarz, H.L. Janovjak, Nature Communications 9 (2018).
date_created: 2019-02-14T10:50:24Z
date_published: 2018-12-01T00:00:00Z
date_updated: 2023-09-19T14:29:32Z
day: '01'
ddc:
- '570'
department:
- _id: HaJa
- _id: CaGu
- _id: MiSi
doi: 10.1038/s41467-018-04342-1
ec_funded: 1
external_id:
isi:
- '000432280000006'
file:
- access_level: open_access
checksum: 8325fcc194264af4749e662a73bf66b5
content_type: application/pdf
creator: kschuh
date_created: 2019-02-14T10:58:29Z
date_updated: 2020-07-14T12:47:14Z
file_id: '5985'
file_name: 2018_Springer_Morri.pdf
file_size: 1349914
relation: main_file
file_date_updated: 2020-07-14T12:47:14Z
has_accepted_license: '1'
intvolume: ' 9'
isi: 1
issue: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 25548C20-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '303564'
name: Microbial Ion Channels for Synthetic Neurobiology
- _id: 255A6082-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W1232-B24
name: Molecular Drug Targets
publication: Nature Communications
publication_identifier:
issn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Optical functionalization of human class A orphan G-protein-coupled receptors
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: 9
year: '2018'
...
---
_id: '19'
abstract:
- lang: eng
text: Bacteria regulate genes to survive antibiotic stress, but regulation can be
far from perfect. When regulation is not optimal, mutations that change gene expression
can contribute to antibiotic resistance. It is not systematically understood to
what extent natural gene regulation is or is not optimal for distinct antibiotics,
and how changes in expression of specific genes quantitatively affect antibiotic
resistance. Here we discover a simple quantitative relation between fitness, gene
expression, and antibiotic potency, which rationalizes our observation that a
multitude of genes and even innate antibiotic defense mechanisms have expression
that is critically nonoptimal under antibiotic treatment. First, we developed
a pooled-strain drug-diffusion assay and screened Escherichia coli overexpression
and knockout libraries, finding that resistance to a range of 31 antibiotics could
result from changing expression of a large and functionally diverse set of genes,
in a primarily but not exclusively drug-specific manner. Second, by synthetically
controlling the expression of single-drug and multidrug resistance genes, we observed
that their fitness-expression functions changed dramatically under antibiotic
treatment in accordance with a log-sensitivity relation. Thus, because many genes
are nonoptimally expressed under antibiotic treatment, many regulatory mutations
can contribute to resistance by altering expression and by activating latent defenses.
article_processing_charge: No
article_type: original
author:
- first_name: Adam
full_name: Palmer, Adam
last_name: Palmer
- 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: Roy
full_name: Kishony, Roy
last_name: Kishony
citation:
ama: Palmer A, Chait RP, Kishony R. Nonoptimal gene expression creates latent potential
for antibiotic resistance. Molecular Biology and Evolution. 2018;35(11):2669-2684.
doi:10.1093/molbev/msy163
apa: Palmer, A., Chait, R. P., & Kishony, R. (2018). Nonoptimal gene expression
creates latent potential for antibiotic resistance. Molecular Biology and Evolution.
Oxford University Press. https://doi.org/10.1093/molbev/msy163
chicago: Palmer, Adam, Remy P Chait, and Roy Kishony. “Nonoptimal Gene Expression
Creates Latent Potential for Antibiotic Resistance.” Molecular Biology and
Evolution. Oxford University Press, 2018. https://doi.org/10.1093/molbev/msy163.
ieee: A. Palmer, R. P. Chait, and R. Kishony, “Nonoptimal gene expression creates
latent potential for antibiotic resistance,” Molecular Biology and Evolution,
vol. 35, no. 11. Oxford University Press, pp. 2669–2684, 2018.
ista: Palmer A, Chait RP, Kishony R. 2018. Nonoptimal gene expression creates latent
potential for antibiotic resistance. Molecular Biology and Evolution. 35(11),
2669–2684.
mla: Palmer, Adam, et al. “Nonoptimal Gene Expression Creates Latent Potential for
Antibiotic Resistance.” Molecular Biology and Evolution, vol. 35, no. 11,
Oxford University Press, 2018, pp. 2669–84, doi:10.1093/molbev/msy163.
short: A. Palmer, R.P. Chait, R. Kishony, Molecular Biology and Evolution 35 (2018)
2669–2684.
date_created: 2018-12-11T11:44:11Z
date_published: 2018-08-28T00:00:00Z
date_updated: 2023-10-17T11:51:06Z
day: '28'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1093/molbev/msy163
external_id:
isi:
- '000452567200006'
pmid:
- '30169679'
intvolume: ' 35'
isi: 1
issue: '11'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pubmed/30169679
month: '08'
oa: 1
oa_version: Submitted Version
page: 2669 - 2684
pmid: 1
publication: Molecular Biology and Evolution
publication_identifier:
issn:
- 0737-4038
publication_status: published
publisher: Oxford University Press
publist_id: '8036'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Nonoptimal gene expression creates latent potential for antibiotic resistance
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 35
year: '2018'
...
---
_id: '438'
abstract:
- lang: eng
text: The MazF toxin sequence-specifically cleaves single-stranded RNA upon various
stressful conditions, and it is activated as a part of the mazEF toxin–antitoxin
module in Escherichia coli. Although autoregulation of mazEF expression through
the MazE antitoxin-dependent transcriptional repression has been biochemically
characterized, less is known about post-transcriptional autoregulation, as well
as how both of these autoregulatory features affect growth of single cells during
conditions that promote MazF production. Here, we demonstrate post-transcriptional
autoregulation of mazF expression dynamics by MazF cleaving its own transcript.
Single-cell analyses of bacterial populations during ectopic MazF production indicated
that two-level autoregulation of mazEF expression influences cell-to-cell growth
rate heterogeneity. The increase in growth rate heterogeneity is governed by the
MazE antitoxin, and tuned by the MazF-dependent mazF mRNA cleavage. Also, both
autoregulatory features grant rapid exit from the stress caused by mazF overexpression.
Time-lapse microscopy revealed that MazF-mediated cleavage of mazF mRNA leads
to increased temporal variability in length of individual cells during ectopic
mazF overexpression, as explained by a stochastic model indicating that mazEF
mRNA cleavage underlies temporal fluctuations in MazF levels during stress.
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Alexandra
full_name: Vandervelde, Alexandra
last_name: Vandervelde
- first_name: Tanino
full_name: Albanese, Tanino
last_name: Albanese
- first_name: Lendert
full_name: Gelens, Lendert
last_name: Gelens
- first_name: Isabella
full_name: Moll, Isabella
last_name: Moll
citation:
ama: Nikolic N, Bergmiller T, Vandervelde A, Albanese T, Gelens L, Moll I. Autoregulation
of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic
Acids Research. 2018;46(6):2918-2931. doi:10.1093/nar/gky079
apa: Nikolic, N., Bergmiller, T., Vandervelde, A., Albanese, T., Gelens, L., &
Moll, I. (2018). Autoregulation of mazEF expression underlies growth heterogeneity
in bacterial populations. Nucleic Acids Research. Oxford University Press.
https://doi.org/10.1093/nar/gky079
chicago: Nikolic, Nela, Tobias Bergmiller, Alexandra Vandervelde, Tanino Albanese,
Lendert Gelens, and Isabella Moll. “Autoregulation of MazEF Expression Underlies
Growth Heterogeneity in Bacterial Populations.” Nucleic Acids Research.
Oxford University Press, 2018. https://doi.org/10.1093/nar/gky079.
ieee: N. Nikolic, T. Bergmiller, A. Vandervelde, T. Albanese, L. Gelens, and I.
Moll, “Autoregulation of mazEF expression underlies growth heterogeneity in bacterial
populations,” Nucleic Acids Research, vol. 46, no. 6. Oxford University
Press, pp. 2918–2931, 2018.
ista: Nikolic N, Bergmiller T, Vandervelde A, Albanese T, Gelens L, Moll I. 2018.
Autoregulation of mazEF expression underlies growth heterogeneity in bacterial
populations. Nucleic Acids Research. 46(6), 2918–2931.
mla: Nikolic, Nela, et al. “Autoregulation of MazEF Expression Underlies Growth
Heterogeneity in Bacterial Populations.” Nucleic Acids Research, vol. 46,
no. 6, Oxford University Press, 2018, pp. 2918–31, doi:10.1093/nar/gky079.
short: N. Nikolic, T. Bergmiller, A. Vandervelde, T. Albanese, L. Gelens, I. Moll,
Nucleic Acids Research 46 (2018) 2918–2931.
date_created: 2018-12-11T11:46:29Z
date_published: 2018-04-06T00:00:00Z
date_updated: 2024-02-21T13:44:45Z
day: '06'
ddc:
- '576'
department:
- _id: CaGu
doi: 10.1093/nar/gky079
external_id:
isi:
- '000429009500021'
file:
- access_level: open_access
checksum: 3ff4f545c27e11a4cd20ccb30778793e
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:30Z
date_updated: 2020-07-14T12:46:27Z
file_id: '5151'
file_name: IST-2018-971-v1+1_2018_Nikoloc_Autoregulation_of.pdf
file_size: 5027978
relation: main_file
file_date_updated: 2020-07-14T12:46:27Z
has_accepted_license: '1'
intvolume: ' 46'
isi: 1
issue: '6'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 2918-2931
project:
- _id: 3AC91DDA-15DF-11EA-824D-93A3E7B544D1
call_identifier: FWF
name: FWF Open Access Fund
publication: Nucleic Acids Research
publication_status: published
publisher: Oxford University Press
pubrep_id: '971'
quality_controlled: '1'
related_material:
record:
- id: '5569'
relation: popular_science
status: public
scopus_import: '1'
status: public
title: Autoregulation of mazEF expression underlies growth heterogeneity in bacterial
populations
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: 46
year: '2018'
...
---
_id: '5569'
abstract:
- lang: eng
text: "Nela Nikolic, Tobias Bergmiller, Alexandra Vandervelde, Tanino G. Albanese,
Lendert Gelens, and Isabella Moll (2018)\r\n“Autoregulation of mazEF expression
underlies growth heterogeneity in bacterial populations” Nucleic Acids Research,
doi: 10.15479/AT:ISTA:74;\r\nmicroscopy experiments by Tobias Bergmiller; image
and data analysis by Nela Nikolic."
article_processing_charge: No
author:
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
citation:
ama: Bergmiller T, Nikolic N. Time-lapse microscopy data. 2018. doi:10.15479/AT:ISTA:74
apa: Bergmiller, T., & Nikolic, N. (2018). Time-lapse microscopy data. Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:74
chicago: Bergmiller, Tobias, and Nela Nikolic. “Time-Lapse Microscopy Data.” Institute
of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:74.
ieee: T. Bergmiller and N. Nikolic, “Time-lapse microscopy data.” Institute of Science
and Technology Austria, 2018.
ista: Bergmiller T, Nikolic N. 2018. Time-lapse microscopy data, Institute of Science
and Technology Austria, 10.15479/AT:ISTA:74.
mla: Bergmiller, Tobias, and Nela Nikolic. Time-Lapse Microscopy Data. Institute
of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:74.
short: T. Bergmiller, N. Nikolic, (2018).
datarep_id: '74'
date_created: 2018-12-12T12:31:35Z
date_published: 2018-02-07T00:00:00Z
date_updated: 2024-02-21T13:44:45Z
day: '07'
ddc:
- '579'
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:74
file:
- access_level: open_access
checksum: 61ebb92213cfffeba3ddbaff984b81af
content_type: application/zip
creator: system
date_created: 2018-12-12T13:04:39Z
date_updated: 2020-07-14T12:47:04Z
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date_updated: 2020-07-14T12:47:04Z
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creator: system
date_created: 2018-12-12T13:05:11Z
date_updated: 2020-07-14T12:47:04Z
file_id: '5639'
file_name: IST-2018-74-v1+4_Images_for_analysis.zip
file_size: 2140849248
relation: main_file
file_date_updated: 2020-07-14T12:47:04Z
has_accepted_license: '1'
keyword:
- microscopy
- microfluidics
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '02'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
publist_id: '7385'
related_material:
record:
- id: '438'
relation: research_paper
status: public
status: public
title: Time-lapse microscopy data
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: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '161'
abstract:
- lang: eng
text: 'Which properties of metabolic networks can be derived solely from stoichiometry?
Predictive results have been obtained by flux balance analysis (FBA), by postulating
that cells set metabolic fluxes to maximize growth rate. Here we consider a generalization
of FBA to single-cell level using maximum entropy modeling, which we extend and
test experimentally. Specifically, we define for Escherichia coli metabolism a
flux distribution that yields the experimental growth rate: the model, containing
FBA as a limit, provides a better match to measured fluxes and it makes a wide
range of predictions: on flux variability, regulation, and correlations; on the
relative importance of stoichiometry vs. optimization; on scaling relations for
growth rate distributions. We validate the latter here with single-cell data at
different sub-inhibitory antibiotic concentrations. The model quantifies growth
optimization as emerging from the interplay of competitive dynamics in the population
and regulation of metabolism at the level of single cells.'
article_number: '2988'
article_processing_charge: No
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
- first_name: Andersson Anna
full_name: Mc, Andersson Anna
last_name: Mc
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: De Martino D, Mc AA, Bergmiller T, Guet CC, Tkačik G. Statistical mechanics
for metabolic networks during steady state growth. Nature Communications.
2018;9(1). doi:10.1038/s41467-018-05417-9
apa: De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., & Tkačik, G. (2018).
Statistical mechanics for metabolic networks during steady state growth. Nature
Communications. Springer Nature. https://doi.org/10.1038/s41467-018-05417-9
chicago: De Martino, Daniele, Andersson Anna Mc, Tobias Bergmiller, Calin C Guet,
and Gašper Tkačik. “Statistical Mechanics for Metabolic Networks during Steady
State Growth.” Nature Communications. Springer Nature, 2018. https://doi.org/10.1038/s41467-018-05417-9.
ieee: D. De Martino, A. A. Mc, T. Bergmiller, C. C. Guet, and G. Tkačik, “Statistical
mechanics for metabolic networks during steady state growth,” Nature Communications,
vol. 9, no. 1. Springer Nature, 2018.
ista: De Martino D, Mc AA, Bergmiller T, Guet CC, Tkačik G. 2018. Statistical mechanics
for metabolic networks during steady state growth. Nature Communications. 9(1),
2988.
mla: De Martino, Daniele, et al. “Statistical Mechanics for Metabolic Networks during
Steady State Growth.” Nature Communications, vol. 9, no. 1, 2988, Springer
Nature, 2018, doi:10.1038/s41467-018-05417-9.
short: D. De Martino, A.A. Mc, T. Bergmiller, C.C. Guet, G. Tkačik, Nature Communications
9 (2018).
date_created: 2018-12-11T11:44:57Z
date_published: 2018-07-30T00:00:00Z
date_updated: 2024-02-21T13:45:39Z
day: '30'
ddc:
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department:
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- _id: CaGu
doi: 10.1038/s41467-018-05417-9
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month: '07'
oa: 1
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grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
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publication: Nature Communications
publication_status: published
publisher: Springer Nature
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scopus_import: '1'
status: public
title: Statistical mechanics for metabolic networks during steady state growth
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: 9
year: '2018'
...
---
_id: '26'
abstract:
- lang: eng
text: Expression of genes is a fundamental molecular phenotype that is subject to
evolution by different types of mutations. Both the rate and the effect of mutations
may depend on the DNA sequence context of a particular gene or a particular promoter
sequence. In this thesis I investigate the nature of this dependence using simple
genetic systems in Escherichia coli. With these systems I explore the evolution
of constitutive gene expression from random starting sequences at different loci
on the chromosome and at different locations in sequence space. First, I dissect
chromosomal neighborhood effects that underlie locus-dependent differences in
the potential of a gene under selection to become more highly expressed. Next,
I find that the effects of point mutations in promoter sequences are dependent
on sequence context, and that an existing energy matrix model performs poorly
in predicting relative expression of unrelated sequences. Finally, I show that
a substantial fraction of random sequences contain functional promoters and I
present an extended thermodynamic model that predicts promoter strength in full
sequence space. Taken together, these results provide new insights and guides
on how to integrate information on sequence context to improve our qualitative
and quantitative understanding of bacterial gene expression, with implications
for rapid evolution of drug resistance, de novo evolution of genes, and horizontal
gene transfer.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
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full_name: Steinrück, Magdalena
id: 2C023F40-F248-11E8-B48F-1D18A9856A87
last_name: Steinrück
orcid: 0000-0003-1229-9719
citation:
ama: Steinrück M. The influence of sequence context on the evolution of bacterial
gene expression. 2018. doi:10.15479/AT:ISTA:th1059
apa: Steinrück, M. (2018). The influence of sequence context on the evolution
of bacterial gene expression. Institute of Science and Technology Austria.
https://doi.org/10.15479/AT:ISTA:th1059
chicago: Steinrück, Magdalena. “The Influence of Sequence Context on the Evolution
of Bacterial Gene Expression.” Institute of Science and Technology Austria, 2018.
https://doi.org/10.15479/AT:ISTA:th1059.
ieee: M. Steinrück, “The influence of sequence context on the evolution of bacterial
gene expression,” Institute of Science and Technology Austria, 2018.
ista: Steinrück M. 2018. The influence of sequence context on the evolution of bacterial
gene expression. Institute of Science and Technology Austria.
mla: Steinrück, Magdalena. The Influence of Sequence Context on the Evolution
of Bacterial Gene Expression. Institute of Science and Technology Austria,
2018, doi:10.15479/AT:ISTA:th1059.
short: M. Steinrück, The Influence of Sequence Context on the Evolution of Bacterial
Gene Expression, Institute of Science and Technology Austria, 2018.
date_created: 2018-12-11T11:44:14Z
date_published: 2018-10-30T00:00:00Z
date_updated: 2023-09-07T12:48:43Z
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page: '109'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '8029'
pubrep_id: '1059'
related_material:
record:
- id: '704'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
title: The influence of sequence context on the evolution of bacterial gene expression
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '67'
abstract:
- lang: eng
text: 'Gene regulatory networks evolve through rewiring of individual components—that
is, through changes in regulatory connections. However, the mechanistic basis
of regulatory rewiring is poorly understood. Using a canonical gene regulatory
system, we quantify the properties of transcription factors that determine the
evolutionary potential for rewiring of regulatory connections: robustness, tunability
and evolvability. In vivo repression measurements of two repressors at mutated
operator sites reveal their contrasting evolutionary potential: while robustness
and evolvability were positively correlated, both were in trade-off with tunability.
Epistatic interactions between adjacent operators alleviated this trade-off. A
thermodynamic model explains how the differences in robustness, tunability and
evolvability arise from biophysical characteristics of repressor–DNA binding.
The model also uncovers that the energy matrix, which describes how mutations
affect repressor–DNA binding, encodes crucial information about the evolutionary
potential of a repressor. The biophysical determinants of evolutionary potential
for regulatory rewiring constitute a mechanistic framework for understanding network
evolution.'
article_processing_charge: No
article_type: original
author:
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. Evolutionary potential
of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution.
2018;2(10):1633-1643. doi:10.1038/s41559-018-0651-y
apa: Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018).
Evolutionary potential of transcription factors for gene regulatory rewiring.
Nature Ecology and Evolution. Nature Publishing Group. https://doi.org/10.1038/s41559-018-0651-y
chicago: Igler, Claudia, Mato Lagator, Gašper Tkačik, Jonathan P Bollback, and Calin
C Guet. “Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring.”
Nature Ecology and Evolution. Nature Publishing Group, 2018. https://doi.org/10.1038/s41559-018-0651-y.
ieee: C. Igler, M. Lagator, G. Tkačik, J. P. Bollback, and C. C. Guet, “Evolutionary
potential of transcription factors for gene regulatory rewiring,” Nature Ecology
and Evolution, vol. 2, no. 10. Nature Publishing Group, pp. 1633–1643, 2018.
ista: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. 2018. Evolutionary potential
of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution.
2(10), 1633–1643.
mla: Igler, Claudia, et al. “Evolutionary Potential of Transcription Factors for
Gene Regulatory Rewiring.” Nature Ecology and Evolution, vol. 2, no. 10,
Nature Publishing Group, 2018, pp. 1633–43, doi:10.1038/s41559-018-0651-y.
short: C. Igler, M. Lagator, G. Tkačik, J.P. Bollback, C.C. Guet, Nature Ecology
and Evolution 2 (2018) 1633–1643.
date_created: 2018-12-11T11:44:27Z
date_published: 2018-09-10T00:00:00Z
date_updated: 2024-03-28T23:30:49Z
day: '10'
ddc:
- '570'
department:
- _id: CaGu
- _id: GaTk
- _id: JoBo
doi: 10.1038/s41559-018-0651-y
ec_funded: 1
external_id:
isi:
- '000447947600021'
file:
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content_type: application/pdf
creator: dernst
date_created: 2020-05-14T11:28:52Z
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file_id: '7830'
file_name: 2018_NatureEcology_Igler.pdf
file_size: 1135973
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file_date_updated: 2020-07-14T12:47:37Z
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intvolume: ' 2'
isi: 1
issue: '10'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 1633 - 1643
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
- _id: 251EE76E-B435-11E9-9278-68D0E5697425
grant_number: '24573'
name: Design principles underlying genetic switch architecture (DOC Fellowship)
publication: Nature Ecology and Evolution
publication_status: published
publisher: Nature Publishing Group
publist_id: '7987'
quality_controlled: '1'
related_material:
record:
- id: '5585'
relation: popular_science
status: public
- id: '6371'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Evolutionary potential of transcription factors for gene regulatory rewiring
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2
year: '2018'
...
---
_id: '5585'
abstract:
- lang: eng
text: Mean repression values and standard error of the mean are given for all operator
mutant libraries.
article_processing_charge: No
author:
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. Data for the paper Evolutionary
potential of transcription factors for gene regulatory rewiring. 2018. doi:10.15479/AT:ISTA:108
apa: Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018).
Data for the paper Evolutionary potential of transcription factors for gene regulatory
rewiring. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:108
chicago: Igler, Claudia, Mato Lagator, Gašper Tkačik, Jonathan P Bollback, and Calin
C Guet. “Data for the Paper Evolutionary Potential of Transcription Factors for
Gene Regulatory Rewiring.” Institute of Science and Technology Austria, 2018.
https://doi.org/10.15479/AT:ISTA:108.
ieee: C. Igler, M. Lagator, G. Tkačik, J. P. Bollback, and C. C. Guet, “Data for
the paper Evolutionary potential of transcription factors for gene regulatory
rewiring.” Institute of Science and Technology Austria, 2018.
ista: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. 2018. Data for the paper
Evolutionary potential of transcription factors for gene regulatory rewiring,
Institute of Science and Technology Austria, 10.15479/AT:ISTA:108.
mla: Igler, Claudia, et al. Data for the Paper Evolutionary Potential of Transcription
Factors for Gene Regulatory Rewiring. Institute of Science and Technology
Austria, 2018, doi:10.15479/AT:ISTA:108.
short: C. Igler, M. Lagator, G. Tkačik, J.P. Bollback, C.C. Guet, (2018).
datarep_id: '108'
date_created: 2018-12-12T12:31:40Z
date_published: 2018-07-20T00:00:00Z
date_updated: 2024-03-28T23:30:49Z
day: '20'
ddc:
- '576'
department:
- _id: CaGu
- _id: GaTk
doi: 10.15479/AT:ISTA:108
ec_funded: 1
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file_name: IST-2018-108-v1+1_data_figures.xlsx
file_size: 16507
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month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
- _id: 251EE76E-B435-11E9-9278-68D0E5697425
grant_number: '24573'
name: Design principles underlying genetic switch architecture (DOC Fellowship)
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '67'
relation: research_paper
status: public
- id: '6371'
relation: research_paper
status: public
status: public
title: Data for the paper Evolutionary potential of transcription factors for gene
regulatory rewiring
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: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '538'
abstract:
- lang: ger
text: 'Optogenetik und Photopharmakologie ermöglichen präzise räumliche und zeitliche
Kontrolle von Proteinwechselwirkung und -funktion in Zellen und Tieren. Optogenetische
Methoden, die auf grünes Licht ansprechen und zum Trennen von Proteinkomplexen
geeignet sind, sind nichtweitläufig verfügbar, würden jedoch mehrfarbige Experimente
zur Beantwortung von biologischen Fragestellungen ermöglichen. Hier demonstrieren
wir die Verwendung von Cobalamin(Vitamin B12)-bindenden Domänen von bakteriellen
CarH-Transkriptionsfaktoren zur Grünlicht-induzierten Dissoziation von Rezeptoren.
Fusioniert mit dem Fibroblasten-W achstumsfaktor-Rezeptor 1 führten diese im Dunkeln
in kultivierten Zellen zu Signalaktivität durch Oligomerisierung, welche durch
Beleuchten umgehend aufgehoben wurde. In Zebrafischembryonen, die einen derartigen
Rezeptor exprimieren, ermöglichte grünes Licht die Kontrolle über abnormale Signalaktivität
während der Embryonalentwicklung. '
author:
- first_name: Stephanie
full_name: Kainrath, Stephanie
id: 32CFBA64-F248-11E8-B48F-1D18A9856A87
last_name: Kainrath
- first_name: Manuela
full_name: Stadler, Manuela
last_name: Stadler
- first_name: Eva
full_name: Gschaider-Reichhart, Eva
id: 3FEE232A-F248-11E8-B48F-1D18A9856A87
last_name: Gschaider-Reichhart
orcid: 0000-0002-7218-7738
- first_name: Martin
full_name: Distel, Martin
last_name: Distel
- first_name: Harald L
full_name: Janovjak, Harald L
id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
last_name: Janovjak
orcid: 0000-0002-8023-9315
citation:
ama: Kainrath S, Stadler M, Gschaider-Reichhart E, Distel M, Janovjak HL. Grünlicht-induzierte
Rezeptorinaktivierung durch Cobalamin-bindende Domänen. Angewandte Chemie.
2017;129(16):4679-4682. doi:10.1002/ange.201611998
apa: Kainrath, S., Stadler, M., Gschaider-Reichhart, E., Distel, M., & Janovjak,
H. L. (2017). Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende
Domänen. Angewandte Chemie. Wiley. https://doi.org/10.1002/ange.201611998
chicago: Kainrath, Stephanie, Manuela Stadler, Eva Gschaider-Reichhart, Martin Distel,
and Harald L Janovjak. “Grünlicht-Induzierte Rezeptorinaktivierung Durch Cobalamin-Bindende
Domänen.” Angewandte Chemie. Wiley, 2017. https://doi.org/10.1002/ange.201611998.
ieee: S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, and H. L. Janovjak,
“Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen,”
Angewandte Chemie, vol. 129, no. 16. Wiley, pp. 4679–4682, 2017.
ista: Kainrath S, Stadler M, Gschaider-Reichhart E, Distel M, Janovjak HL. 2017.
Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen. Angewandte
Chemie. 129(16), 4679–4682.
mla: Kainrath, Stephanie, et al. “Grünlicht-Induzierte Rezeptorinaktivierung Durch
Cobalamin-Bindende Domänen.” Angewandte Chemie, vol. 129, no. 16, Wiley,
2017, pp. 4679–82, doi:10.1002/ange.201611998.
short: S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, H.L. Janovjak,
Angewandte Chemie 129 (2017) 4679–4682.
date_created: 2018-12-11T11:47:02Z
date_published: 2017-05-20T00:00:00Z
date_updated: 2021-01-12T08:01:33Z
day: '20'
ddc:
- '571'
department:
- _id: CaGu
- _id: HaJa
doi: 10.1002/ange.201611998
ec_funded: 1
file:
- access_level: open_access
checksum: d66fee867e7cdbfa3fe276c2fb0778bb
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:13:24Z
date_updated: 2020-07-14T12:46:39Z
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title: Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen
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