@article{0bcd4dd23cf64e45b0442f1a82d9c3c9,
title = "How soluble misfolded proteins bypass chaperones at the molecular level",
abstract = "Subpopulations of soluble, misfolded proteins can bypass chaperones within cells. The extent of this phenomenon and how it happens at the molecular level are unknown. Through a meta-analysis of the experimental literature we find that in all quantitative protein refolding studies there is always a subpopulation of soluble but misfolded protein that does not fold in the presence of one or more chaperones, and can take days or longer to do so. Thus, some misfolded subpopulations commonly bypass chaperones. Using multi-scale simulation models we observe that the misfolded structures that bypass various chaperones can do so because their structures are highly native like, leading to a situation where chaperones do not distinguish between the folded and near-native-misfolded states. More broadly, these results provide a mechanism by which long-time scale changes in protein structure and function can persist in cells because some misfolded states can bypass components of the proteostasis machinery.",
author = "Ritaban Halder and Nissley, {Daniel A.} and Ian Sitarik and Yang Jiang and Yiyun Rao and Vu, {Quyen V.} and Li, {Mai Suan} and Justin Pritchard and O{\textquoteright}Brien, {Edward P.}",
note = "Funding Information: E.P.O. acknowledges support from the National Science Foundation (MCB-1553291) as well as from the National Institutes of Health (R35-GM124818), and the support of the Huck Institute at Pennsylvania State University. Portions of numerical computations and data analysis in this work have been carried out on the CyberLAMP cluster, which is supported by NSF-MRI-1626251 and operated by the Institute for Computational and Data Sciences at The Pennsylvania State University. Some parts of the simulations were carried out using the Expanse allocations obtained from an XSEDE grant (MCB160069). M.S.L was supported by Narodowe Centrum Nauki in Poland (grant 2019/35/B/ST4/02086). Funding Information: E.P.O. acknowledges support from the National Science Foundation (MCB-1553291) as well as from the National Institutes of Health (R35-GM124818), and the support of the Huck Institute at Pennsylvania State University. Portions of numerical computations and data analysis in this work have been carried out on the CyberLAMP cluster, which is supported by NSF-MRI-1626251 and operated by the Institute for Computational and Data Sciences at The Pennsylvania State University. Some parts of the simulations were carried out using the Expanse allocations obtained from an XSEDE grant (MCB160069). M.S.L was supported by Narodowe Centrum Nauki in Poland (grant 2019/35/B/ST4/02086). Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
month = dec,
doi = "10.1038/s41467-023-38962-z",
language = "English (US)",
volume = "14",
journal = "Nature communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",
}