Most proteins are in equilibrium with partially and globally unfolded conformations. In contrast, kinetically stable proteins (KSPs) are trapped by an energy barrier in a specific state, unable to transiently sample other conformations. Among many potential roles, it appears that kinetic stability (KS) is a feature used by nature to allow proteins to maintain activity under harsh conditions and to preserve the structure of proteins that are prone to misfolding. The biological and pathological significance of KS remains poorly understood because of the lack of simple experimental methods to identify this property and its infrequent occurrence in proteins. Based on our previous correlation between KS and a protein's resistance to the denaturing detergent SDS, we show here the application of a diagonal 2D (D2D) SDS/PAGE assay to identify KSPs in complex mixtures. We applied this method to the lysate of Escherichia coli and upon proteomics analysis have identified 50 nonredundant proteins that were SDS-resistant (i.e., kinetically stable). Structural and functional analyses of a subset (44) of these proteins with known 3D structure revealed some potential structural and functional biases toward and against KS. This simple D2D SDS/PAGE assay will allow the widespread investigation of KS, including the proteomics-level identification of KSPs in different systems, potentially leading to a better understanding of the biological and pathological significance of this intriguing property of proteins.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2077256 | PMC |
http://dx.doi.org/10.1073/pnas.0705417104 | DOI Listing |
Polymers (Basel)
December 2024
German Institutes of Textile and Fiber Research (DITF), Koerschtalstr. 26, D-73770 Denkendorf, Germany.
Environ Pollut
January 2025
School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Proc Natl Acad Sci U S A
January 2025
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
CO mineralization, a process where CO reacts with minerals to form stable carbonates, presents a sustainable approach for CO sequestration and mitigation of global warming. While the crucial role of water in regulating CO mineralization efficiency is widely acknowledged, a comprehensive understanding of the underlying mechanisms remains elusive. This study employs a combined experimental and atomistic simulation approach to elucidate the intricate mechanisms governing moisture-driven carbonation kinetics of calcium-bearing minerals.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China.
Dissolution of CO in water followed by the subsequent hydrolysis reactions is of great importance to the global carbon cycle, and carbon capture and storage. Despite numerous previous studies, the reactions are still not fully understood at the atomistic scale. Here, we combined ab initio molecular dynamics (AIMD) simulations with Markov state models to elucidate the reaction mechanisms and kinetics of CO in supercritical water both in the bulk and nanoconfined states.
View Article and Find Full Text PDFACS Nano
January 2025
Department of Physics, JC STEM Lab of Energy and Materials Physics, City University of Hong Kong, Hong Kong 999077, P. R. China.
Solid polymer electrolytes (SPEs) are promising candidates for lithium metal batteries (LMBs) owing to their safety features and compatibility with lithium metal anodes. However, the inferior ionic conductivity and electrochemical stability of SPEs hinder their application in high-voltage solid-state LMBs (HVSSLMBs). Here, a strategy is proposed to develop a dual-anion-rich solvation structure by implementing ferroelectric barium titanate (BTO) nanoparticles (NPs) and dual lithium salts into poly(vinylidene fluoride) (PVDF)-based SPEs for HVSSLMBs.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!