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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Functional and Physical Interaction between the Trigger Factor Folding Chaperone and the ClpXP Degradation System

Ologbenla, Adedeji 09 December 2013 (has links)
Molecular chaperones and proteases help maintain protein homeostasis in the cell. While chaperones assist in the folding of polypeptide chains to their native state, proteases degrade misfolded or unfolded proteins and also help regulate protein levels. While mapping chaperone interaction networks, we found that tig (trigger factor chaperone gene), clpP and clpX genes co-localize next to each other on the genome of most examined bacteria. This led us to hypothesize that trigger factor (TF) chaperone and ClpXP protease might interact functionally. TF is a ribosome-associated chaperone that co-translationally folds polypeptide chains. ClpXP is a proteolytic complex that degrades a wide range of substrate proteins. We observed that TF enhanced the rate of the ClpXP degradation of the λO phage protein in vitro and in vivo. TF was also found to enhance the degradation of ribosome-stalled λO thus suggesting the existence of co-translational protein degradation in E. coli.
2

Ribosome Associated Factors Recruited for Protein Export and Folding

Raine, Amanda January 2005 (has links)
<p>Protein folding and export to the membrane are crucial events in the cell. Both processes may be initiated already at the ribosome, assisted by factors that bind to the polypeptide as it emerges from the ribosome. The signal recognition particle (SRP) scans the ribosome for nascent peptides destined for membrane insertion and targets these ribosomes to the site for translocation in the membrane. Trigger factor (TF) is a folding chaperone that interacts with nascent chains to promote their correct folding, prevent misfolding and aggregation. </p><p>In this thesis, we first investigated membrane targeting and insertion of two heterologous membrane proteins in E. coli by using in vitro translation, membrane targeting and cross-linking. We found that these proteins are dependent on SRP for targeting and that they initially interact with translocon components in the same way as native nascent membrane proteins. </p><p>Moreover we have characterised the SRP and TF interactions with the ribosome both with cross-linking experiments and with quantitative binding experiments. Both SRP and TF bind to ribosomal L23 close to the nascent peptide exit site where they are strategically placed for binding to the nascent polypeptide. </p><p>Quantitative analysis of TF and SRP binding determined their respective KD values for binding to non translating ribosomes and reveals that they bind simultaneously to the ribosome, thus having separate binding sites on L23. </p><p>Finally, binding studies on ribosome nascent chain adds clues as to how TF functions as a chaperone.</p>
3

Ribosome Associated Factors Recruited for Protein Export and Folding

Raine, Amanda January 2005 (has links)
Protein folding and export to the membrane are crucial events in the cell. Both processes may be initiated already at the ribosome, assisted by factors that bind to the polypeptide as it emerges from the ribosome. The signal recognition particle (SRP) scans the ribosome for nascent peptides destined for membrane insertion and targets these ribosomes to the site for translocation in the membrane. Trigger factor (TF) is a folding chaperone that interacts with nascent chains to promote their correct folding, prevent misfolding and aggregation. In this thesis, we first investigated membrane targeting and insertion of two heterologous membrane proteins in E. coli by using in vitro translation, membrane targeting and cross-linking. We found that these proteins are dependent on SRP for targeting and that they initially interact with translocon components in the same way as native nascent membrane proteins. Moreover we have characterised the SRP and TF interactions with the ribosome both with cross-linking experiments and with quantitative binding experiments. Both SRP and TF bind to ribosomal L23 close to the nascent peptide exit site where they are strategically placed for binding to the nascent polypeptide. Quantitative analysis of TF and SRP binding determined their respective KD values for binding to non translating ribosomes and reveals that they bind simultaneously to the ribosome, thus having separate binding sites on L23. Finally, binding studies on ribosome nascent chain adds clues as to how TF functions as a chaperone.
4

Investigation of Peptidyl-prolyl cis/trans isomerases in the virulence of Staphylococcus aureus

Keogh, Rebecca 23 September 2020 (has links)
No description available.
5

Single-particle tracking for direct measurements of Trigger Factor ribosome binding in live cells

Hävermark, Tora January 2021 (has links)
Trigger Factor (TF) is a prokaryotic chaperone protein that exerts its major chaperone activity while associated with translating ribosomes, assisting de novo folding of the emerging nascent chain. Although much is known about the kinetics behind TF-ribosome binding, most results are based on in vitro experiments which fail to mimic the cellular environment. Single-particle approaches have gained increasing power for studying binding kinetics of biomolecules in living cells. One such method is single-particle tracking by super-resolution fluorescence microscopy, where the position of a fluorescently labelled particle is recorded over time, giving information about the movement of the particle inside the cell. Changes in diffusion behaviour is then used as an indicator of changes in biological activities. In this work, a diffusion model that qualitatively and quantitatively describes TF’s binding to ribosomes is presented. The model was obtained by single-particle tracking of TF labelled with HaloTag. Particle movements were analysed with a Hidden Markov Model-based algorithm that fit the trajectories to a defined set of different diffusion states, where fast diffusion could be related to free TF and slow diffusion to a ribosome-bound state. Moreover, the model could distinguish between two types of ribosome interactions: TF’s stable binding to ribosomes and a faster sampling behaviour. The average time spent stably bound to ribosomes is 670 ms and these interactions account for 53% of TF’s activity. TF is one of many processing proteins that interact with the emerging peptide chain during translation. By using the same approach on more of these factors, the interplay between them and the growing nascent chain can be characterized, giving an increased understanding of the highly complex translation machinery.

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