---
_id: '1027'
abstract:
- lang: eng
text: The rising prevalence of antibiotic resistant bacteria is an increasingly
serious public health challenge. To address this problem, recent work ranging
from clinical studies to theoretical modeling has provided valuable insights into
the mechanisms of resistance, its emergence and spread, and ways to counteract
it. A deeper understanding of the underlying dynamics of resistance evolution
will require a combination of experimental and theoretical expertise from different
disciplines and new technology for studying evolution in the laboratory. Here,
we review recent advances in the quantitative understanding of the mechanisms
and evolution of antibiotic resistance. We focus on key theoretical concepts and
new technology that enables well-controlled experiments. We further highlight
key challenges that can be met in the near future to ultimately develop effective
strategies for combating resistance.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Mark Tobias
full_name: Bollenbach, Mark Tobias
id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
last_name: Bollenbach
orcid: 0000-0003-4398-476X
citation:
ama: Lukacisinova M, Bollenbach MT. Toward a quantitative understanding of antibiotic
resistance evolution. Current Opinion in Biotechnology. 2017;46:90-97.
doi:10.1016/j.copbio.2017.02.013
apa: Lukacisinova, M., & Bollenbach, M. T. (2017). Toward a quantitative understanding
of antibiotic resistance evolution. Current Opinion in Biotechnology. Elsevier.
https://doi.org/10.1016/j.copbio.2017.02.013
chicago: Lukacisinova, Marta, and Mark Tobias Bollenbach. “Toward a Quantitative
Understanding of Antibiotic Resistance Evolution.” Current Opinion in Biotechnology.
Elsevier, 2017. https://doi.org/10.1016/j.copbio.2017.02.013.
ieee: M. Lukacisinova and M. T. Bollenbach, “Toward a quantitative understanding
of antibiotic resistance evolution,” Current Opinion in Biotechnology,
vol. 46. Elsevier, pp. 90–97, 2017.
ista: Lukacisinova M, Bollenbach MT. 2017. Toward a quantitative understanding of
antibiotic resistance evolution. Current Opinion in Biotechnology. 46, 90–97.
mla: Lukacisinova, Marta, and Mark Tobias Bollenbach. “Toward a Quantitative Understanding
of Antibiotic Resistance Evolution.” Current Opinion in Biotechnology,
vol. 46, Elsevier, 2017, pp. 90–97, doi:10.1016/j.copbio.2017.02.013.
short: M. Lukacisinova, M.T. Bollenbach, Current Opinion in Biotechnology 46 (2017)
90–97.
date_created: 2018-12-11T11:49:45Z
date_published: 2017-08-01T00:00:00Z
date_updated: 2024-03-28T23:30:29Z
day: '01'
ddc:
- '570'
department:
- _id: ToBo
doi: 10.1016/j.copbio.2017.02.013
ec_funded: 1
external_id:
isi:
- '000408077400015'
file:
- access_level: open_access
content_type: application/pdf
creator: dernst
date_created: 2019-01-18T09:57:57Z
date_updated: 2019-01-18T09:57:57Z
file_id: '5846'
file_name: 2017_CurrentOpinion_Lukaciinova.pdf
file_size: 858338
relation: main_file
success: 1
file_date_updated: 2019-01-18T09:57:57Z
has_accepted_license: '1'
intvolume: ' 46'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '08'
oa: 1
oa_version: Published Version
page: 90 - 97
project:
- _id: 25E9AF9E-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P27201-B22
name: Revealing the mechanisms underlying drug interactions
- _id: 25E83C2C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '303507'
name: Optimality principles in responses to antibiotics
- _id: 25EB3A80-B435-11E9-9278-68D0E5697425
grant_number: RGP0042/2013
name: Revealing the fundamental limits of cell growth
publication: Current Opinion in Biotechnology
publication_status: published
publisher: Elsevier
publist_id: '6364'
pubrep_id: '801'
quality_controlled: '1'
related_material:
record:
- id: '6263'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Toward a quantitative understanding of antibiotic resistance evolution
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 46
year: '2017'
...
---
_id: '1154'
abstract:
- lang: eng
text: "Cellular locomotion is a central hallmark of eukaryotic life. It is governed
by cell-extrinsic molecular factors, which can either emerge in the soluble phase
or as immobilized, often adhesive ligands. To encode for direction, every cue
must be present as a spatial or temporal gradient. Here, we developed a microfluidic
chamber that allows measurement of cell migration in combined response to surface
immobilized and soluble molecular gradients. As a proof of principle we study
the response of dendritic cells to their major guidance cues, chemokines. The
majority of data on chemokine gradient sensing is based on in vitro studies employing
soluble gradients. Despite evidence suggesting that in vivo chemokines are often
immobilized to sugar residues, limited information is available how cells respond
to immobilized chemokines. We tracked migration of dendritic cells towards immobilized
gradients of the chemokine CCL21 and varying superimposed soluble gradients of
CCL19. Differential migratory patterns illustrate the potential of our setup to
quantitatively study the competitive response to both types of gradients. Beyond
chemokines our approach is broadly applicable to alternative systems of chemo-
and haptotaxis such as cells migrating along gradients of adhesion receptor ligands
vs. any soluble cue. \r\n"
acknowledgement: 'This work was supported by the Swiss National Science Foundation
(Ambizione fellowship; PZ00P3-154733 to M.M.), the Swiss Multiple Sclerosis Society
(research support to M.M.), a fellowship from the Boehringer Ingelheim Fonds (BIF)
to J.S., the European Research Council (grant ERC GA 281556) and a START award from
the Austrian Science Foundation (FWF) to M.S. #BioimagingFacility'
article_number: '36440'
author:
- first_name: Jan
full_name: Schwarz, Jan
id: 346C1EC6-F248-11E8-B48F-1D18A9856A87
last_name: Schwarz
- first_name: Veronika
full_name: Bierbaum, Veronika
id: 3FD04378-F248-11E8-B48F-1D18A9856A87
last_name: Bierbaum
- first_name: Jack
full_name: Merrin, Jack
id: 4515C308-F248-11E8-B48F-1D18A9856A87
last_name: Merrin
orcid: 0000-0001-5145-4609
- first_name: Tino
full_name: Frank, Tino
last_name: Frank
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Mark Tobias
full_name: Bollenbach, Mark Tobias
id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
last_name: Bollenbach
orcid: 0000-0003-4398-476X
- first_name: Savaş
full_name: Tay, Savaş
last_name: Tay
- 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: Matthias
full_name: Mehling, Matthias
id: 3C23B994-F248-11E8-B48F-1D18A9856A87
last_name: Mehling
orcid: 0000-0001-8599-1226
citation:
ama: Schwarz J, Bierbaum V, Merrin J, et al. A microfluidic device for measuring
cell migration towards substrate bound and soluble chemokine gradients. Scientific
Reports. 2016;6. doi:10.1038/srep36440
apa: Schwarz, J., Bierbaum, V., Merrin, J., Frank, T., Hauschild, R., Bollenbach,
M. T., … Mehling, M. (2016). A microfluidic device for measuring cell migration
towards substrate bound and soluble chemokine gradients. Scientific Reports.
Nature Publishing Group. https://doi.org/10.1038/srep36440
chicago: Schwarz, Jan, Veronika Bierbaum, Jack Merrin, Tino Frank, Robert Hauschild,
Mark Tobias Bollenbach, Savaş Tay, Michael K Sixt, and Matthias Mehling. “A Microfluidic
Device for Measuring Cell Migration towards Substrate Bound and Soluble Chemokine
Gradients.” Scientific Reports. Nature Publishing Group, 2016. https://doi.org/10.1038/srep36440.
ieee: J. Schwarz et al., “A microfluidic device for measuring cell migration
towards substrate bound and soluble chemokine gradients,” Scientific Reports,
vol. 6. Nature Publishing Group, 2016.
ista: Schwarz J, Bierbaum V, Merrin J, Frank T, Hauschild R, Bollenbach MT, Tay
S, Sixt MK, Mehling M. 2016. A microfluidic device for measuring cell migration
towards substrate bound and soluble chemokine gradients. Scientific Reports. 6,
36440.
mla: Schwarz, Jan, et al. “A Microfluidic Device for Measuring Cell Migration towards
Substrate Bound and Soluble Chemokine Gradients.” Scientific Reports, vol.
6, 36440, Nature Publishing Group, 2016, doi:10.1038/srep36440.
short: J. Schwarz, V. Bierbaum, J. Merrin, T. Frank, R. Hauschild, M.T. Bollenbach,
S. Tay, M.K. Sixt, M. Mehling, Scientific Reports 6 (2016).
date_created: 2018-12-11T11:50:27Z
date_published: 2016-11-07T00:00:00Z
date_updated: 2021-01-12T06:48:41Z
day: '07'
ddc:
- '579'
department:
- _id: MiSi
- _id: NanoFab
- _id: Bio
- _id: ToBo
doi: 10.1038/srep36440
ec_funded: 1
file:
- access_level: open_access
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:32Z
date_updated: 2018-12-12T10:09:32Z
file_id: '4756'
file_name: IST-2017-744-v1+1_srep36440.pdf
file_size: 2353456
relation: main_file
file_date_updated: 2018-12-12T10:09:32Z
has_accepted_license: '1'
intvolume: ' 6'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25A603A2-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '281556'
name: Cytoskeletal force generation and force transduction of migrating leukocytes
(EU)
- _id: 25A8E5EA-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Y 564-B12
name: Cytoskeletal force generation and transduction of leukocytes (FWF)
publication: Scientific Reports
publication_status: published
publisher: Nature Publishing Group
publist_id: '6204'
pubrep_id: '744'
quality_controlled: '1'
scopus_import: 1
status: public
title: A microfluidic device for measuring cell migration towards substrate bound
and soluble chemokine gradients
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2016'
...
---
_id: '1218'
abstract:
- lang: eng
text: Investigating the physiology of cyanobacteria cultured under a diel light
regime is relevant for a better understanding of the resulting growth characteristics
and for specific biotechnological applications that are foreseen for these photosynthetic
organisms. Here, we present the results of a multiomics study of the model cyanobacterium
Synechocystis sp. strain PCC 6803, cultured in a lab-scale photobioreactor in
physiological conditions relevant for large-scale culturing. The culture was sparged
withN2 andCO2, leading to an anoxic environment during the dark period. Growth
followed the availability of light. Metabolite analysis performed with 1Hnuclear
magnetic resonance analysis showed that amino acids involved in nitrogen and sulfur
assimilation showed elevated levels in the light. Most protein levels, analyzed
through mass spectrometry, remained rather stable. However, several high-light-response
proteins and stress-response proteins showed distinct changes at the onset of
the light period. Microarray-based transcript analysis found common patterns of~56%
of the transcriptome following the diel regime. These oscillating transcripts
could be grouped coarsely into genes that were upregulated and downregulated in
the dark period. The accumulated glycogen was degraded in the anaerobic environment
in the dark. A small part was degraded gradually, reflecting basic maintenance
requirements of the cells in darkness. Surprisingly, the largest part was degraded
rapidly in a short time span at the end of the dark period. This degradation could
allow rapid formation of metabolic intermediates at the end of the dark period,
preparing the cells for the resumption of growth at the start of the light period.
acknowledgement: "Dutch Ministry of Economic Affairs, Agriculture, and Innovation
through the program BioSolar CellsS. Andreas Angermayr,Pascal van Alphen, Klaas
J. Hellingwerf\r\nWe thank Naira Quintana (presently at Rousselot, Belgium) for
the ini-\r\ntiative at the 10th Cyanobacterial Molecular Biology Workshop\r\n(CMBW),
June 2010, Lake Arrowhead, Los Angeles, CA, USA, to start the\r\ncollaborative endeavor
reported here. We thank Timo Maarleveld from\r\nCWI/VU (Amsterdam) for a custom-made
Python script handling the output from the NMR analysis and for evaluating and visualizing
the\r\nseparate metabolites for their evaluation. We thank Rob Verpoorte from\r\nLeiden
University (metabolome analysis) and Hans Aerts from the AMC\r\n(proteome analysis)
for lab space and equipment. We thank Robert Leh-\r\nmann (Humboldt University Berlin)
and Ilka Axmann (University of\r\nDüsseldorf) for sharing the R-code for the LOS
transformation of the\r\ntranscript data. We thank Hans C. P. Matthijs from IBED
for inspiring\r\ndialogues and insightful thoughts on continuous culturing of cyanobac-\r\nteria.
We thank Sandra Waaijenborg for performing the transcript nor-\r\nmalization and
Johan Westerhuis from BDA, Jeroen van der Steen and\r\nFilipe Branco dos Santos
from MMP, and Lucas Stal from IBED/NIOZ for\r\nhelpful discussions. We thank Milou
Schuurmans from MMP for help\r\nwith sampling and glycogen determination. We thank
the members of the\r\nRNA Biology & Applied Bioinformatics group at SILS, in particular
Selina\r\nvan Leeuwen, Elisa Hoekstra, and Martijs Jonker, for the microarray anal-\r\nysis.
We thank the reviewers of this work for their insightful comments\r\nwhich improved
the quality of the manuscript. This work, including the efforts of S. Andreas Angermayr,
Pascal van\r\nAlphen, and Klaas J. Hellingwerf, was funded by Dutch Ministry of
Eco-\r\nnomic Affairs, Agriculture, and Innovation through the program BioSolar\r\nCells."
author:
- first_name: Andreas
full_name: Angermayr, Andreas
id: 4677C796-F248-11E8-B48F-1D18A9856A87
last_name: Angermayr
orcid: 0000-0001-8619-2223
- first_name: Pascal
full_name: Van Alphen, Pascal
last_name: Van Alphen
- first_name: Dicle
full_name: Hasdemir, Dicle
last_name: Hasdemir
- first_name: Gertjan
full_name: Kramer, Gertjan
last_name: Kramer
- first_name: Muzamal
full_name: Iqbal, Muzamal
last_name: Iqbal
- first_name: Wilmar
full_name: Van Grondelle, Wilmar
last_name: Van Grondelle
- first_name: Huub
full_name: Hoefsloot, Huub
last_name: Hoefsloot
- first_name: Younghae
full_name: Choi, Younghae
last_name: Choi
- first_name: Klaas
full_name: Hellingwerf, Klaas
last_name: Hellingwerf
citation:
ama: Angermayr A, Van Alphen P, Hasdemir D, et al. Culturing synechocystis sp. Strain
pcc 6803 with N2 and CO2 in a diel regime reveals multiphase glycogen dynamics
with low maintenance costs. Applied and Environmental Microbiology. 2016;82(14):4180-4189.
doi:10.1128/AEM.00256-16
apa: Angermayr, A., Van Alphen, P., Hasdemir, D., Kramer, G., Iqbal, M., Van Grondelle,
W., … Hellingwerf, K. (2016). Culturing synechocystis sp. Strain pcc 6803 with
N2 and CO2 in a diel regime reveals multiphase glycogen dynamics with low maintenance
costs. Applied and Environmental Microbiology. American Society for Microbiology.
https://doi.org/10.1128/AEM.00256-16
chicago: Angermayr, Andreas, Pascal Van Alphen, Dicle Hasdemir, Gertjan Kramer,
Muzamal Iqbal, Wilmar Van Grondelle, Huub Hoefsloot, Younghae Choi, and Klaas
Hellingwerf. “Culturing Synechocystis Sp. Strain Pcc 6803 with N2 and CO2 in a
Diel Regime Reveals Multiphase Glycogen Dynamics with Low Maintenance Costs.”
Applied and Environmental Microbiology. American Society for Microbiology,
2016. https://doi.org/10.1128/AEM.00256-16.
ieee: A. Angermayr et al., “Culturing synechocystis sp. Strain pcc 6803 with
N2 and CO2 in a diel regime reveals multiphase glycogen dynamics with low maintenance
costs,” Applied and Environmental Microbiology, vol. 82, no. 14. American
Society for Microbiology, pp. 4180–4189, 2016.
ista: Angermayr A, Van Alphen P, Hasdemir D, Kramer G, Iqbal M, Van Grondelle W,
Hoefsloot H, Choi Y, Hellingwerf K. 2016. Culturing synechocystis sp. Strain pcc
6803 with N2 and CO2 in a diel regime reveals multiphase glycogen dynamics with
low maintenance costs. Applied and Environmental Microbiology. 82(14), 4180–4189.
mla: Angermayr, Andreas, et al. “Culturing Synechocystis Sp. Strain Pcc 6803 with
N2 and CO2 in a Diel Regime Reveals Multiphase Glycogen Dynamics with Low Maintenance
Costs.” Applied and Environmental Microbiology, vol. 82, no. 14, American
Society for Microbiology, 2016, pp. 4180–89, doi:10.1128/AEM.00256-16.
short: A. Angermayr, P. Van Alphen, D. Hasdemir, G. Kramer, M. Iqbal, W. Van Grondelle,
H. Hoefsloot, Y. Choi, K. Hellingwerf, Applied and Environmental Microbiology
82 (2016) 4180–4189.
date_created: 2018-12-11T11:50:46Z
date_published: 2016-07-01T00:00:00Z
date_updated: 2021-01-12T06:49:10Z
day: '01'
department:
- _id: ToBo
doi: 10.1128/AEM.00256-16
intvolume: ' 82'
issue: '14'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959195/
month: '07'
oa: 1
oa_version: Submitted Version
page: 4180 - 4189
publication: Applied and Environmental Microbiology
publication_status: published
publisher: American Society for Microbiology
publist_id: '6117'
quality_controlled: '1'
scopus_import: 1
status: public
title: Culturing synechocystis sp. Strain pcc 6803 with N2 and CO2 in a diel regime
reveals multiphase glycogen dynamics with low maintenance costs
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 82
year: '2016'
...
---
_id: '1552'
abstract:
- lang: eng
text: Antibiotic resistance carries a fitness cost that must be overcome in order
for resistance to persist over the long term. Compensatory mutations that recover
the functional defects associated with resistance mutations have been argued to
play a key role in overcoming the cost of resistance, but compensatory mutations
are expected to be rare relative to generally beneficial mutations that increase
fitness, irrespective of antibiotic resistance. Given this asymmetry, population
genetics theory predicts that populations should adapt by compensatory mutations
when the cost of resistance is large, whereas generally beneficial mutations should
drive adaptation when the cost of resistance is small. We tested this prediction
by determining the genomic mechanisms underpinning adaptation to antibiotic-free
conditions in populations of the pathogenic bacterium Pseudomonas aeruginosa that
carry costly antibiotic resistance mutations. Whole-genome sequencing revealed
that populations founded by high-cost rifampicin-resistant mutants adapted via
compensatory mutations in three genes of the RNA polymerase core enzyme, whereas
populations founded by low-cost mutants adapted by generally beneficial mutations,
predominantly in the quorum-sensing transcriptional regulator gene lasR. Even
though the importance of compensatory evolution in maintaining resistance has
been widely recognized, our study shows that the roles of general adaptation in
maintaining resistance should not be underestimated and highlights the need to
understand how selection at other sites in the genome influences the dynamics
of resistance alleles in clinical settings.
acknowledgement: "We thank the High-Throughput Genomics Group at the Wellcome Trust
Centre for Human Genetics funded by Wellcome\r\nTrust grant reference 090532/Z/09/Z
and Medical Research Council Hub grant no. G0900747 91070 for generation of the
high-throughput sequencing data. We thank Wook Kim and two anonymous reviewers for
their constructive feedback on previous versions of our manuscript."
article_number: '20152452'
author:
- first_name: Qin
full_name: Qi, Qin
id: 3B22D412-F248-11E8-B48F-1D18A9856A87
last_name: Qi
orcid: 0000-0002-6148-2416
- first_name: Macarena
full_name: Toll Riera, Macarena
last_name: Toll Riera
- first_name: Karl
full_name: Heilbron, Karl
last_name: Heilbron
- first_name: Gail
full_name: Preston, Gail
last_name: Preston
- first_name: R Craig
full_name: Maclean, R Craig
last_name: Maclean
citation:
ama: Qi Q, Toll Riera M, Heilbron K, Preston G, Maclean RC. The genomic basis of
adaptation to the fitness cost of rifampicin resistance in Pseudomonas aeruginosa.
Proceedings of the Royal Society of London Series B Biological Sciences.
2016;283(1822). doi:10.1098/rspb.2015.2452
apa: Qi, Q., Toll Riera, M., Heilbron, K., Preston, G., & Maclean, R. C. (2016).
The genomic basis of adaptation to the fitness cost of rifampicin resistance in
Pseudomonas aeruginosa. Proceedings of the Royal Society of London Series B
Biological Sciences. Royal Society, The. https://doi.org/10.1098/rspb.2015.2452
chicago: Qi, Qin, Macarena Toll Riera, Karl Heilbron, Gail Preston, and R Craig
Maclean. “The Genomic Basis of Adaptation to the Fitness Cost of Rifampicin Resistance
in Pseudomonas Aeruginosa.” Proceedings of the Royal Society of London Series
B Biological Sciences. Royal Society, The, 2016. https://doi.org/10.1098/rspb.2015.2452.
ieee: Q. Qi, M. Toll Riera, K. Heilbron, G. Preston, and R. C. Maclean, “The genomic
basis of adaptation to the fitness cost of rifampicin resistance in Pseudomonas
aeruginosa,” Proceedings of the Royal Society of London Series B Biological
Sciences, vol. 283, no. 1822. Royal Society, The, 2016.
ista: Qi Q, Toll Riera M, Heilbron K, Preston G, Maclean RC. 2016. The genomic basis
of adaptation to the fitness cost of rifampicin resistance in Pseudomonas aeruginosa.
Proceedings of the Royal Society of London Series B Biological Sciences. 283(1822),
20152452.
mla: Qi, Qin, et al. “The Genomic Basis of Adaptation to the Fitness Cost of Rifampicin
Resistance in Pseudomonas Aeruginosa.” Proceedings of the Royal Society of
London Series B Biological Sciences, vol. 283, no. 1822, 20152452, Royal Society,
The, 2016, doi:10.1098/rspb.2015.2452.
short: Q. Qi, M. Toll Riera, K. Heilbron, G. Preston, R.C. Maclean, Proceedings
of the Royal Society of London Series B Biological Sciences 283 (2016).
date_created: 2018-12-11T11:52:40Z
date_published: 2016-01-13T00:00:00Z
date_updated: 2021-01-12T06:51:33Z
day: '13'
ddc:
- '570'
department:
- _id: ToBo
doi: 10.1098/rspb.2015.2452
file:
- access_level: open_access
checksum: 78ffe70c1c88af3856d31ca6b7195a27
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:43Z
date_updated: 2020-07-14T12:45:02Z
file_id: '4899'
file_name: IST-2016-488-v1+1_20152452.full.pdf
file_size: 626804
relation: main_file
file_date_updated: 2020-07-14T12:45:02Z
has_accepted_license: '1'
intvolume: ' 283'
issue: '1822'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
publication: Proceedings of the Royal Society of London Series B Biological Sciences
publication_status: published
publisher: Royal Society, The
publist_id: '5619'
pubrep_id: '488'
quality_controlled: '1'
scopus_import: 1
status: public
title: The genomic basis of adaptation to the fitness cost of rifampicin resistance
in Pseudomonas aeruginosa
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 283
year: '2016'
...
---
_id: '5556'
abstract:
- lang: eng
text: "MATLAB code and processed datasets available for reproducing the results
in: \r\nLukačišin, M.*, Landon, M.*, Jajoo, R*. (2016) Sequence-Specific Thermodynamic
Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking
in Yeast.\r\n*equal contributions"
article_processing_charge: No
author:
- first_name: Martin
full_name: Lukacisin, Martin
id: 298FFE8C-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisin
orcid: 0000-0001-6549-4177
- first_name: Matthieu
full_name: Landon, Matthieu
last_name: Landon
- first_name: Rishi
full_name: Jajoo, Rishi
last_name: Jajoo
citation:
ama: Lukacisin M, Landon M, Jajoo R. MATLAB analysis code for “Sequence-Specific
Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing
and Backtracking in Yeast.” 2016. doi:10.15479/AT:ISTA:45
apa: Lukacisin, M., Landon, M., & Jajoo, R. (2016). MATLAB analysis code for
“Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional
Pausing and Backtracking in Yeast.” Institute of Science and Technology Austria.
https://doi.org/10.15479/AT:ISTA:45
chicago: Lukacisin, Martin, Matthieu Landon, and Rishi Jajoo. “MATLAB Analysis Code
for ‘Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both
Transcriptional Pausing and Backtracking in Yeast.’” Institute of Science and
Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:45.
ieee: M. Lukacisin, M. Landon, and R. Jajoo, “MATLAB analysis code for ‘Sequence-Specific
Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing
and Backtracking in Yeast.’” Institute of Science and Technology Austria, 2016.
ista: Lukacisin M, Landon M, Jajoo R. 2016. MATLAB analysis code for ‘Sequence-Specific
Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing
and Backtracking in Yeast’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:45.
mla: Lukacisin, Martin, et al. MATLAB Analysis Code for “Sequence-Specific Thermodynamic
Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking
in Yeast.” Institute of Science and Technology Austria, 2016, doi:10.15479/AT:ISTA:45.
short: M. Lukacisin, M. Landon, R. Jajoo, (2016).
datarep_id: '45'
date_created: 2018-12-12T12:31:31Z
date_published: 2016-08-25T00:00:00Z
date_updated: 2024-02-21T13:51:53Z
day: '25'
ddc:
- '571'
department:
- _id: ToBo
doi: 10.15479/AT:ISTA:45
file:
- access_level: open_access
checksum: ee697f2b1ade4dc14d6ac0334dd832ab
content_type: application/zip
creator: system
date_created: 2018-12-12T13:02:58Z
date_updated: 2020-07-14T12:47:02Z
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file_name: IST-2016-45-v1+1_PaperCode.zip
file_size: 296722548
relation: main_file
file_date_updated: 2020-07-14T12:47:02Z
has_accepted_license: '1'
keyword:
- transcription
- pausing
- backtracking
- polymerase
- RNA
- NET-seq
- nucleosome
- basepairing
license: https://creativecommons.org/licenses/by-sa/4.0/
month: '08'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
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- id: '8431'
relation: used_in_publication
status: deleted
- id: '1029'
relation: research_paper
status: public
status: public
title: MATLAB analysis code for 'Sequence-Specific Thermodynamic Properties of Nucleic
Acids Influence Both Transcriptional Pausing and Backtracking in Yeast'
tmp:
image: /images/cc_by_sa.png
legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode
name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC
BY-SA 4.0)
short: CC BY-SA (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2016'
...