Dynamic binding of the bacterial chaperone Trigger factor to translating ribosomes in Escherichia coli
https://doi.org/10.17044/SCILIFELAB.27637464
This repository contains all raw data, software tools for data analysis, and scripts for generating the figures and tables provided in the main text and supplementary information of the manuscript "Dynamic binding of the bacterial chaperone Trigger factor to translating ribosomes in Escherichia coli".
The bacterial chaperone Trigger factor (TF) binds to ribosome-nascent chain complexes (RNCs) and co-translationally aids the folding of proteins in bacteria. Here, we used single-particle tracking (SPT) to measure TF binding to translating ribosomes inside living Escherichia coli. TF displays distinct binding modes — longer (ca 1 s) and shorter (ca 50 ms) RNC bindings. 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.
The data and corresponding analyses have been divided into folders corresponding to different experimental conditions. Each experimental condition folder contains raw microscopy images ("RawData") with three phase contrast images ("A_Phase"), one brightfield image ("B_Bf"), and a stack of fluorescence images ("C_553", "C_546", or "C_638", depending on what laser was used). The "Tracking_EXP_YY_YYYY" folder contains single-particle tracking analysis of the corresponding raw data, and the "HMM_analysis" folder contains HMM-based diffusion analysis of the single-particle trajectories. The "Tools" folder contains all software for data analysis, and "Figures_and_tables_scripts" contains scripts for generating figures and tables.
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https://doi.org/10.17044/SCILIFELAB.27637464
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Citation and access
Creator/Principal investigator(s):
- Mikhail Metelev
- Erik Lundin
- Ivan L Volkov
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Citation:
Administrative information
Administrative information
Funding
Funding
Funding agency:
- Swedish Research Council
Opens a new window at ror.org.
ROR
Award number:
2018-05973_VR
Award title:
SNIC 2.0: Swedish National Infrastructure for Computing
Funding agency:
- European Research Council
Opens a new window at ror.org.
ROR
Award number:
947747
Award title:
Single-molecule tracking for live-cell protein synthesis kinetics
Funding agency:
- Swedish Research Council
Opens a new window at ror.org.
ROR
Award number:
2019-03714_VR
Award title:
Determinants for efficient synthesis, folding, and targeting of proteins in living cells
Funding agency:
- Swedish Research Council
Opens a new window at ror.org.
ROR
Award number:
2023-03383_VR
Award title:
The why, how, and when of bacterial ribosome rescue
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Topic and keywords
Swedish Standard Classification of Research Subjects 2025:
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