Bacterial proteostasis balances energy and chaperone utilization efficiently. Santra, M., Farrell, D. W., & Dill, K. A. Proceedings of the National Academy of Sciences, March, 2017. ![Bacterial proteostasis balances energy and chaperone utilization efficiently [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Significance A cell’s proteins must be properly folded. Therefore, cells have chaperones that help other proteins, their clients, fold and not aggregate. The machinery is like a hospital: it assesses the “sickness” of the patient (finds improperly folded proteins), sends the patient to the right doctor (sorts the protein to the right chaperone), and cures the disease (folds or disaggregates the protein). How are sick proteins recognized and routed to the right chaperone? How does the machine handle different growth rates? Here, we model proteostasis. We find that it can handle any arbitrary client protein, that it spends the least energy on least sick proteins, and that the cell produces just enough chaperone to keep the proteome folded but no more. , Chaperones are protein complexes that help to fold and disaggregate a cell’s proteins. It is not understood how four major chaperone systems of Escherichia coli work together in proteostasis: the recognition, sorting, folding, and disaggregating of the cell’s many different proteins. Here, we model this machine. We combine extensive data on chaperoning, folding, and aggregation rates with expression levels of proteins and chaperones measured at different growth rates. We find that the proteostasis machine recognizes and sorts a client protein based on two biophysical properties of the client’s misfolded state (M state): its stability and its kinetic accessibility from its unfolded state (U state). The machine is energy-efficient (the sickest proteins use the most ATP-expensive chaperones), comprehensive (it can handle any type of protein), and economical (the chaperone concentrations are just high enough to keep the whole proteome folded and disaggregated but no higher). The cell needs higher chaperone levels in two situations: fast growth (when protein production rates are high) and very slow growth (to mitigate the effects of protein degradation). This type of model complements experimental knowledge by showing how the various chaperones work together to achieve the broad folding and disaggregation needs of the cell.
@article{santra_bacterial_2017,
title = {Bacterial proteostasis balances energy and chaperone utilization efficiently},
volume = {114},
issn = {0027-8424, 1091-6490},
url = {https://pnas.org/doi/full/10.1073/pnas.1620646114},
doi = {10.1073/pnas.1620646114},
abstract = {Significance
A cell’s proteins must be properly folded. Therefore, cells have chaperones that help other proteins, their clients, fold and not aggregate. The machinery is like a hospital: it assesses the “sickness” of the patient (finds improperly folded proteins), sends the patient to the right doctor (sorts the protein to the right chaperone), and cures the disease (folds or disaggregates the protein). How are sick proteins recognized and routed to the right chaperone? How does the machine handle different growth rates? Here, we model proteostasis. We find that it can handle any arbitrary client protein, that it spends the least energy on least sick proteins, and that the cell produces just enough chaperone to keep the proteome folded but no more.
,
Chaperones are protein complexes that help to fold and disaggregate a cell’s proteins. It is not understood how four major chaperone systems of
Escherichia coli
work together in proteostasis: the recognition, sorting, folding, and disaggregating of the cell’s many different proteins. Here, we model this machine. We combine extensive data on chaperoning, folding, and aggregation rates with expression levels of proteins and chaperones measured at different growth rates. We find that the proteostasis machine recognizes and sorts a client protein based on two biophysical properties of the client’s misfolded state (M state): its stability and its kinetic accessibility from its unfolded state (U state). The machine is energy-efficient (the sickest proteins use the most ATP-expensive chaperones), comprehensive (it can handle any type of protein), and economical (the chaperone concentrations are just high enough to keep the whole proteome folded and disaggregated but no higher). The cell needs higher chaperone levels in two situations: fast growth (when protein production rates are high) and very slow growth (to mitigate the effects of protein degradation). This type of model complements experimental knowledge by showing how the various chaperones work together to achieve the broad folding and disaggregation needs of the cell.},
language = {en},
number = {13},
urldate = {2024-06-12},
journal = {Proceedings of the National Academy of Sciences},
author = {Santra, Mantu and Farrell, Daniel W. and Dill, Ken A.},
month = mar,
year = {2017},
}
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How does the machine handle different growth rates? Here, we model proteostasis. We find that it can handle any arbitrary client protein, that it spends the least energy on least sick proteins, and that the cell produces just enough chaperone to keep the proteome folded but no more. , Chaperones are protein complexes that help to fold and disaggregate a cell’s proteins. It is not understood how four major chaperone systems of Escherichia coli work together in proteostasis: the recognition, sorting, folding, and disaggregating of the cell’s many different proteins. Here, we model this machine. We combine extensive data on chaperoning, folding, and aggregation rates with expression levels of proteins and chaperones measured at different growth rates. We find that the proteostasis machine recognizes and sorts a client protein based on two biophysical properties of the client’s misfolded state (M state): its stability and its kinetic accessibility from its unfolded state (U state). The machine is energy-efficient (the sickest proteins use the most ATP-expensive chaperones), comprehensive (it can handle any type of protein), and economical (the chaperone concentrations are just high enough to keep the whole proteome folded and disaggregated but no higher). The cell needs higher chaperone levels in two situations: fast growth (when protein production rates are high) and very slow growth (to mitigate the effects of protein degradation). This type of model complements experimental knowledge by showing how the various chaperones work together to achieve the broad folding and disaggregation needs of the cell.","language":"en","number":"13","urldate":"2024-06-12","journal":"Proceedings of the National Academy of Sciences","author":[{"propositions":[],"lastnames":["Santra"],"firstnames":["Mantu"],"suffixes":[]},{"propositions":[],"lastnames":["Farrell"],"firstnames":["Daniel","W."],"suffixes":[]},{"propositions":[],"lastnames":["Dill"],"firstnames":["Ken","A."],"suffixes":[]}],"month":"March","year":"2017","bibtex":"@article{santra_bacterial_2017,\n\ttitle = {Bacterial proteostasis balances energy and chaperone utilization efficiently},\n\tvolume = {114},\n\tissn = {0027-8424, 1091-6490},\n\turl = {https://pnas.org/doi/full/10.1073/pnas.1620646114},\n\tdoi = {10.1073/pnas.1620646114},\n\tabstract = {Significance\n A cell’s proteins must be properly folded. Therefore, cells have chaperones that help other proteins, their clients, fold and not aggregate. The machinery is like a hospital: it assesses the “sickness” of the patient (finds improperly folded proteins), sends the patient to the right doctor (sorts the protein to the right chaperone), and cures the disease (folds or disaggregates the protein). How are sick proteins recognized and routed to the right chaperone? How does the machine handle different growth rates? Here, we model proteostasis. We find that it can handle any arbitrary client protein, that it spends the least energy on least sick proteins, and that the cell produces just enough chaperone to keep the proteome folded but no more.\n , \n \n Chaperones are protein complexes that help to fold and disaggregate a cell’s proteins. It is not understood how four major chaperone systems of\n Escherichia coli\n work together in proteostasis: the recognition, sorting, folding, and disaggregating of the cell’s many different proteins. Here, we model this machine. We combine extensive data on chaperoning, folding, and aggregation rates with expression levels of proteins and chaperones measured at different growth rates. We find that the proteostasis machine recognizes and sorts a client protein based on two biophysical properties of the client’s misfolded state (M state): its stability and its kinetic accessibility from its unfolded state (U state). The machine is energy-efficient (the sickest proteins use the most ATP-expensive chaperones), comprehensive (it can handle any type of protein), and economical (the chaperone concentrations are just high enough to keep the whole proteome folded and disaggregated but no higher). 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