---
_id: '8657'
abstract:
- lang: eng
  text: "Synthesis of proteins – translation – is a fundamental process of life. Quantitative
    studies anchor translation into the context of bacterial physiology and reveal
    several mathematical relationships, called “growth laws,” which capture physiological
    feedbacks between protein synthesis and cell growth. Growth laws describe the
    dependency of the ribosome abundance as a function of growth rate, which can change
    depending on the growth conditions. Perturbations of translation reveal that bacteria
    employ a compensatory strategy in which the reduced translation capability results
    in increased expression of the translation machinery.\r\nPerturbations of translation
    are achieved in various ways; clinically interesting is the application of translation-targeting
    antibiotics – translation inhibitors. The antibiotic effects on bacterial physiology
    are often poorly understood. Bacterial responses to two or more simultaneously
    applied antibiotics are even more puzzling. The combined antibiotic effect determines
    the type of drug interaction, which ranges from synergy (the effect is stronger
    than expected) to antagonism (the effect is weaker) and suppression (one of the
    drugs loses its potency).\r\nIn the first part of this work, we systematically
    measure the pairwise interaction network for translation inhibitors that interfere
    with different steps in translation. We find that the interactions are surprisingly
    diverse and tend to be more antagonistic. To explore the underlying mechanisms,
    we begin with a minimal biophysical model of combined antibiotic action. We base
    this model on the kinetics of antibiotic uptake and binding together with the
    physiological response described by the growth laws. The biophysical model explains
    some drug interactions, but not all; it specifically fails to predict suppression.\r\nIn
    the second part of this work, we hypothesize that elusive suppressive drug interactions
    result from the interplay between ribosomes halted in different stages of translation.
    To elucidate this putative mechanism of drug interactions between translation
    inhibitors, we generate translation bottlenecks genetically using in- ducible
    control of translation factors that regulate well-defined translation cycle steps.
    These perturbations accurately mimic antibiotic action and drug interactions,
    supporting that the interplay of different translation bottlenecks partially causes
    these interactions.\r\nWe extend this approach by varying two translation bottlenecks
    simultaneously. This approach reveals the suppression of translocation inhibition
    by inhibited translation. We rationalize this effect by modeling dense traffic
    of ribosomes that move on transcripts in a translation factor-mediated manner.
    This model predicts a dissolution of traffic jams caused by inhibited translocation
    when the density of ribosome traffic is reduced by lowered initiation. We base
    this model on the growth laws and quantitative relationships between different
    translation and growth parameters.\r\nIn the final part of this work, we describe
    a set of tools aimed at quantification of physiological and translation parameters.
    We further develop a simple model that directly connects the abundance of a translation
    factor with the growth rate, which allows us to extract physiological parameters
    describing initiation. We demonstrate the development of tools for measuring translation
    rate.\r\nThis thesis showcases how a combination of high-throughput growth rate
    mea- surements, genetics, and modeling can reveal mechanisms of drug interactions.
    Furthermore, by a gradual transition from combinations of antibiotics to precise
    genetic interventions, we demonstrated the equivalency between genetic and chemi-
    cal perturbations of translation. These findings tile the path for quantitative
    studies of antibiotic combinations and illustrate future approaches towards the
    quantitative description of translation."
acknowledged_ssus:
- _id: LifeSc
- _id: M-Shop
acknowledgement: I thank Life Science Facilities for their continuous support with
  providing top-notch laboratory materials, keeping the devices humming, and coordinating
  the repairs and building of custom-designed laboratory equipment with the MIBA Machine
  shop.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Bor
  full_name: Kavcic, Bor
  id: 350F91D2-F248-11E8-B48F-1D18A9856A87
  last_name: Kavcic
  orcid: 0000-0001-6041-254X
citation:
  ama: 'Kavcic B. Perturbations of protein synthesis: from antibiotics to genetics
    and physiology. 2020. doi:<a href="https://doi.org/10.15479/AT:ISTA:8657">10.15479/AT:ISTA:8657</a>'
  apa: 'Kavcic, B. (2020). <i>Perturbations of protein synthesis: from antibiotics
    to genetics and physiology</i>. Institute of Science and Technology Austria. <a
    href="https://doi.org/10.15479/AT:ISTA:8657">https://doi.org/10.15479/AT:ISTA:8657</a>'
  chicago: 'Kavcic, Bor. “Perturbations of Protein Synthesis: From Antibiotics to
    Genetics and Physiology.” Institute of Science and Technology Austria, 2020. <a
    href="https://doi.org/10.15479/AT:ISTA:8657">https://doi.org/10.15479/AT:ISTA:8657</a>.'
  ieee: 'B. Kavcic, “Perturbations of protein synthesis: from antibiotics to genetics
    and physiology,” Institute of Science and Technology Austria, 2020.'
  ista: 'Kavcic B. 2020. Perturbations of protein synthesis: from antibiotics to genetics
    and physiology. Institute of Science and Technology Austria.'
  mla: 'Kavcic, Bor. <i>Perturbations of Protein Synthesis: From Antibiotics to Genetics
    and Physiology</i>. Institute of Science and Technology Austria, 2020, doi:<a
    href="https://doi.org/10.15479/AT:ISTA:8657">10.15479/AT:ISTA:8657</a>.'
  short: 'B. Kavcic, Perturbations of Protein Synthesis: From Antibiotics to Genetics
    and Physiology, Institute of Science and Technology Austria, 2020.'
date_created: 2020-10-13T16:46:14Z
date_published: 2020-10-14T00:00:00Z
date_updated: 2023-09-07T13:20:48Z
day: '14'
ddc:
- '571'
- '530'
- '570'
degree_awarded: PhD
department:
- _id: GaTk
doi: 10.15479/AT:ISTA:8657
file:
- access_level: open_access
  checksum: d708ecd62b6fcc3bc1feb483b8dbe9eb
  content_type: application/pdf
  creator: bkavcic
  date_created: 2020-10-15T06:41:20Z
  date_updated: 2021-10-07T22:30:03Z
  embargo: 2021-10-06
  file_id: '8663'
  file_name: kavcicB_thesis202009.pdf
  file_size: 52636162
  relation: main_file
- access_level: closed
  checksum: bb35f2352a04db19164da609f00501f3
  content_type: application/zip
  creator: bkavcic
  date_created: 2020-10-15T06:41:53Z
  date_updated: 2021-10-07T22:30:03Z
  embargo_to: open_access
  file_id: '8664'
  file_name: 2020b.zip
  file_size: 321681247
  relation: source_file
file_date_updated: 2021-10-07T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '271'
publication_identifier:
  isbn:
  - 978-3-99078-011-4
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '7673'
    relation: part_of_dissertation
    status: public
  - id: '8250'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Mark Tobias
  full_name: Bollenbach, Mark Tobias
  id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
  last_name: Bollenbach
  orcid: 0000-0003-4398-476X
title: 'Perturbations of protein synthesis: from antibiotics to genetics and physiology'
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
