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Updated: May 15, 2025

Detection of the pH-dependent Activity of Escherichia coli Chaperone HdeB In Vitro and In Vivo
Published on: October 23, 2016
Proteome-wide determinants of co-translational chaperone binding in bacteria
Carla Verónica Galmozzi1,2,3, Frank Tippmann1, Florian Wruck4
1Center for Molecular Biology of Heidelberg University (ZMBH), DKFZ-ZMBH Alliance, Heidelberg, Germany.
Scientists discovered that bacterial chaperones Trigger Factor (TF) and DnaK bind to partially folded proteins during translation. This finding simplifies understanding co-translational protein folding and chaperone interactions across the proteome.
Area of Science:
- Molecular Biology
- Biochemistry
- Proteomics
Background:
- Co-translational folding is crucial for protein function.
- Current methods limit understanding of chaperone interactions with nascent proteins.
- Principles governing proteome-wide co-translational chaperone binding remain unclear.
Purpose of the Study:
- To elucidate the principles of co-translational chaperone interaction.
- To develop a predictive model for chaperone binding based on protein sequence.
- To understand the roles of Trigger Factor (TF) and DnaK in nascent protein folding.
Main Methods:
- Genome-wide selective ribosome profiling.
- Single-molecule biophysical techniques.
- Computational predictions integrating AlphaFold.
Main Results:
- Chaperone binding of TF and DnaK correlates with exposed "unsatisfied residues" in partially folded proteins.
- A predictive model based on sequence accurately identifies co-translational chaperone binding sites.
- TF and DnaK preferentially bind partially folded, not unfolded, protein conformers.
- Synergistic roles of TF (intra-domain folding) and DnaK (preventing inter-domain contacts) were observed.
- The study revealed robustness within the TF, DnaK, and GroEL chaperone network.
Conclusions:
- Co-translational chaperone binding follows a general principle related to protein folding intermediates.
- Predictive rules for chaperone binding simplify the complex landscape of protein biosynthesis.
- This work provides a foundation for understanding productive and erroneous protein folding pathways.
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