Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Systemic insight into bacterial protein processing by live-cell single-molecule tracking
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.ORCID iD: 0000-0002-3794-3243
2026 (English)Doctoral thesis, comprehensive summary (Other academic)
Description
Abstract [en]

A single Escherichia coli cell contains thousands of different kinds of proteins in a total of millions of copies, all working together to ensure that the cell can grow and divide. New proteins are made by large cellular machines known as ribosomes, and during optimal growth, the ribosomes must produce roughly 20 new proteins every second. To ensure that these new proteins end up correctly folded at their intended cellular location with correct chemical modifications, the ribosome and the nascent protein require assistance from a number of processing factors. Importantly, different proteins require help from different factors. How these factors find their target proteins among the tens of thousands of ribosomes, each translating one of thousands of possible proteins, and engage with them in a coordinated fashion without impeding the other factors, remains mysterious. Traditional in vitro studies have provided high-resolution details about the function of individual factors. However, these fail to mimic the dynamic, crowded conditions of a living cell required to get the full picture of the system. In this work, we have employed a range of single-molecule super-resolution microscopy techniques to study different aspects of protein synthesis directly inside living E. coli cells. In Paper I and Paper II, we used two different microscopy methods to benchmark the cellular activity of Trigger factor (TF), a processing factor that guides the folding of new proteins. We discovered that TF binding to ribosomes is more dynamic than previously perceived. We also saw that TF competes for ribosome binding with another vital factor, namely, the Signal recognition particle. In Paper III, we took a closer look on the biogenesis of outer-membrane proteins, assessing the possibility of using in vivo single-molecule FRET as a reporter for their folding. In all, this work provides fundamental insight into how proteins are processed within live bacterial cells. Such knowledge is key to developing new treatments for bacterial infections and for understanding human diseases linked to protein misfolding.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2026. , p. 57
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2623
Keywords [en]
co-translational processing, post-translational processing, Escherichia coli, Trigger factor, outer-membrane protein folding, OmpA, single-molecule tracking, single-molecule FRET
National Category
Molecular Biology
Identifiers
URN: urn:nbn:se:uu:diva-572623ISBN: 978-91-513-2697-9 (print)OAI: oai:DiVA.org:uu-572623DiVA, id: diva2:2019147
Public defence
2026-02-06, A1:107a Föreläsningssal, Uppsala biomedicinska centrum (BMC), 752 37 Uppsala, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2026-01-09 Created: 2025-12-05 Last updated: 2026-01-09
List of papers
1. Real-time single-molecule 3D tracking in E. coli based on cross-entropy minimization
Open this publication in new window or tab >>Real-time single-molecule 3D tracking in E. coli based on cross-entropy minimization
Show others...
2023 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 14, no 1, article id 1336Article in journal (Refereed) Published
Abstract [en]

Reaching sub-millisecond 3D tracking of individual molecules in living cells would enable direct measurements of diffusion-limited macromolecular interactions under physiological conditions. Here, we present a 3D tracking principle that approaches the relevant regime. The method is based on the true excitation point spread function and cross-entropy minimization for position localization of moving fluorescent reporters. Tests on beads moving on a stage reaches 67 nm lateral and 109 nm axial precision with a time resolution of 0.84 ms at a photon count rate of 60 kHz; the measurements agree with the theoretical and simulated predictions. Our implementation also features a method for microsecond 3D PSF positioning and an estimator for diffusion analysis of tracking data. Finally, we successfully apply these methods to track the Trigger Factor protein in living bacterial cells. Overall, our results show that while it is possible to reach sub-millisecond live-cell single-molecule tracking, it is still hard to resolve state transitions based on diffusivity at this time scale.

Place, publisher, year, edition, pages
Springer Nature, 2023
National Category
Other Physics Topics
Identifiers
urn:nbn:se:uu:diva-506957 (URN)10.1038/s41467-023-36879-1 (DOI)001001718000019 ()36906676 (PubMedID)
Funder
EU, European Research Council, BIGGER:885360EU, European Research Council, SMACK:947747Swedish Research Council, 2016.06213Swedish Research Council, 2019.03714Swedish Research Council, 2018.03958Knut and Alice Wallenberg Foundation, 2016.0077Knut and Alice Wallenberg Foundation, 2017.0291Knut and Alice Wallenberg Foundation, 2019.0439Swedish National Infrastructure for Computing (SNIC)
Available from: 2023-07-04 Created: 2023-07-04 Last updated: 2025-12-05Bibliographically approved
2. Dynamic binding of the bacterial chaperone Trigger factor to translating ribosomes in Escherichia coli
Open this publication in new window or tab >>Dynamic binding of the bacterial chaperone Trigger factor to translating ribosomes in Escherichia coli
Show others...
2025 (English)In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 122, no 1, article id 2409536121Article in journal (Refereed) Published
Abstract [en]

The bacterial chaperone Trigger factor (TF) binds to ribosome-nascent chain complexes (RNCs) and cotranslationally aids the folding of proteins in bacteria. Decades of studies have given a broad, but often conflicting, description of the substrate specificity of TF, its RNC-binding dynamics, and competition with other RNC-binding factors, such as the Signal Recognition Particle (SRP). Previous RNC-binding kinetics experiments were commonly conducted on stalled RNCs in reconstituted systems, and consequently, may not be representative of the interaction of TF with ribosomes translating mRNA in the cytoplasm of the cell. Here, we used single-particle tracking (SPT) to measure TF binding to actively translating ribosomes inside living Escherichia coli. In cells, TF displays distinct binding modes—longer (ca 1 s) and shorter (ca 50 ms) RNC bindings. Consequently, we conclude that TF, on average, stays bound to the RNC for only a fraction of the translation cycle. Further, binding events are interrupted only by transient excursions to a freely diffusing state (ca 40 ms), suggesting a highly dynamic binding and unbinding cycle of TF in vivo. We also show that TF competes with SRP for RNC binding, and in doing so, tunes the binding selectivity of SRP.

Place, publisher, year, edition, pages
Proceedings of the National Academy of Sciences (PNAS), 2025
Keywords
co-translational processing, protein folding, single- particle tracking, super-resolution microscopy
National Category
Biophysics Molecular Biology Cell Biology
Identifiers
urn:nbn:se:uu:diva-548441 (URN)10.1073/pnas.2409536121 (DOI)001394675000016 ()39739798 (PubMedID)2-s2.0-85214323371 (Scopus ID)
Funder
EU, European Research Council, 947747-SMACKSwedish Research Council, 2019-03714Swedish Research Council, 2023-03383Swedish Research Council, 2018-05973UPPMAX
Available from: 2025-01-29 Created: 2025-01-29 Last updated: 2025-12-05Bibliographically approved
3. Outer-membrane protein folding assessed by live-cell single-molecule FRET
Open this publication in new window or tab >>Outer-membrane protein folding assessed by live-cell single-molecule FRET
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Outer-membrane proteins (OMPs) embedded in the outer membrane (OM) of gram-negative bacteria are important for the rigidity, mobility, pathogenicity, and the selective permeability of the cell. Most OMPs share a common structure and biogenesis pathway, where the unfolded OMP is post-translationally translocated from the cytoplasm to the periplasm, with subsequent folding and insertion into the OM. In vitro studies on the targeting, translocation and folding of OMPs have proven challenging due to difficulties in reconstituting the physical and biological complexity of the biogenesis network, while commonly used in vivo methods suffer from low temporal resolution. Here, we investigate the possibility of using single-molecule FRET to directly observe the folded state of Outer-membrane protein A (OmpA) in live cells. In vitro double-labeled Cy3Cy5-OmpA was incorporated into Escherichia coli by electroporation. Using single-molecule tracking (SMT), we observed both cytosolic and immobilized, membrane-associated particles. On rare occasion, immobile particles displayed FRET, indicative of successful folding and OM incorporation of Cy3Cy5-OmpA. This work lays the foundation for combining SMT and smFRET for direct measurements of the complete targeting, translocation and folding pathway of OMPs at high spatiotemporal resolution in their native environment.

Keywords
outer-membrane protein folding, OmpA, in vivo smFRET, single-molecule tracking
National Category
Molecular Biology
Research subject
Molecular Life Sciences
Identifiers
urn:nbn:se:uu:diva-572620 (URN)
Available from: 2025-12-05 Created: 2025-12-05 Last updated: 2025-12-05

Open Access in DiVA

UUThesis_Hävermark,T_2026(1708 kB)74 downloads
File information
File name FULLTEXT01.pdfFile size 1708 kBChecksum SHA-512
1da522615fcf325901a06409cd0772c44db1ac7157b1f625a7c098430198bc2cef836975405148b8f9adc6179c851b6da04ef69587f0b20f3cd5001200ed77ee
Type fulltextMimetype application/pdf

Authority records

Hävermark, Tora

Search in DiVA

By author/editor
Hävermark, Tora
By organisation
Molecular Systems Biology
Molecular Biology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 2489 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf