The long-term goals of this application are to yield fundamental insight into the role of protein disorder in chaperone function and to better understand pH-modulated cellular processes. We focus on the bacterial chaperone HdeA, which is a member of a recently discovered class of stress-sensing proteins that become activated by the very conditions that cause their unfolding. As pathogenic enteric bacteria pass through the harshly acidic environment of the mammalian stomach, HdeA undergoes a pH-triggered transition from an inactive folded dimer to a chaperone-active partially unfolded monomer to prevent other unfolded proteins from acid-induced aggregation. Although a general mechanism for HdeA activity is understood, the structural details of the disordered monomeric active state have yet to be determined, preventing a complete understanding of its pH stress-sensing function. Through a multi-disciplinary interplay between simulation and experiment, we aim to 1) reconstruct the chaperone-active disordered ensemble as a function of pH and 2) characterize chaperone interaction with substrate. We will perform novel coarse-grained simulations to describe the long time-scale conformational dynamics of HdeA in different pH environments. From the coarse-grained ensemble, we will build all-atom models of the monomer and refine them against nuclear magnetic resonance (NMR) chemical shifts and residual dipolar couplings. Based on our experimentally refined ensemble of free chaperone, we will develop a coarse-grained model to simulate HdeA bound to an NMR-accessible substrate. The structure of the chaperone-substrate complex from simulation will be refined against fluorescence resonance energy transfer distances and NMR data. For the experimentally refined models of free and bound HdeA, we will perform all-atom constant pH molecular dynamics simulation to calculate the pKa's of all acid titratable residues. The pKa calculations will report on specific pH-modulated interactions (pH triggers) that contribute to monomer flexibility and substrate interaction. We will test our predicted pH triggers through biochemical mutational studies. Collectively, our efforts will allow us to fully uncover the pH-sensing mechanism of HdeA in bacterial pathogenicity and to gain insight into the manner in which chaperones interact with substrate.

Public Health Relevance

The acidic environment of the mammalian stomach poses a natural barrier of defense against invading microorganisms. As disease-causing enteric bacteria pass through the stomach, the chaperone HdeA is activated by the low pH environment and promotes bacterial survival by preventing acid-induced aggregation of other proteins. Our work will achieve an atomic-level description of how HdeA protects unfolded proteins during acid stress and releases them upon return to non-stress conditions.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32GM108298-02
Application #
8971626
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Sakalian, Michael
Project Start
2014-08-01
Project End
2015-11-29
Budget Start
2015-08-01
Budget End
2015-11-29
Support Year
2
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Wei, Shuai; Ahlstrom, Logan S; Brooks 3rd, Charles L (2017) Exploring Protein-Nanoparticle Interactions with Coarse-Grained Protein Folding Models. Small 13:
Salmon, Loïc; Ahlstrom, Logan S; Horowitz, Scott et al. (2016) Capturing a Dynamic Chaperone-Substrate Interaction Using NMR-Informed Molecular Modeling. J Am Chem Soc 138:9826-39
Horowitz, Scott; Salmon, Loïc; Koldewey, Philipp et al. (2016) Visualizing chaperone-assisted protein folding. Nat Struct Mol Biol 23:691-7
Dickson, Alex; Ahlstrom, Logan S; Brooks 3rd, Charles L (2016) Coupled folding and binding with 2D Window-Exchange Umbrella Sampling. J Comput Chem 37:587-94
Frank, Aaron T; Law, Sean M; Ahlstrom, Logan S et al. (2015) Predicting protein backbone chemical shifts from C? coordinates: extracting high resolution experimental observables from low resolution models. J Chem Theory Comput 11:325-31
Ahlstrom, Logan S; Law, Sean M; Dickson, Alex et al. (2015) Multiscale modeling of a conditionally disordered pH-sensing chaperone. J Mol Biol 427:1670-80
Law, Sean M; Ahlstrom, Logan S; Panahi, Afra et al. (2014) Hamiltonian Mapping Revisited: Calibrating Minimalist Models to Capture Molecular Recognition by Intrinsically Disordered Proteins. J Phys Chem Lett 5:3441-3444
Ahlstrom, Logan S; Dickson, Alex; Brooks 3rd, Charles L (2013) Binding and folding of the small bacterial chaperone HdeA. J Phys Chem B 117:13219-25