. Proteins retain function when attached to some surfaces (e.g., the cell membrane) and yet very often unfold and inactivate on others (e.g., the artificial surfaces used in many technologies). Our understanding of why this is, however, has been hampered by a lack of quantitative methods by which we can measure the thermodynamics of biomolecule-surface interactions. That is, despite a large body of qualitative literature describing how adsorption alters protein structure, and a large number of empirical studies searching for adsorption-resistant surfaces, quantitative, experimentally testable insights into how and why proteins unfold on some surfaces and not others have proven elusive. In response, we have developed a new experimental approach for measuring the folding free energy of biomolecules site-specifically attached to well- defined, macroscopic surfaces (i.e., flat at the molecular length scale), including surfaces that closely mimic the cell membrane. Comparison with bulk-solution-phase free energies then informs on the thermodynamics of the biomolecule's interactions with the surface and, in turn, the mechanisms that drive them. Using this novel approach we have, for the first time, accurately measured the free energy with which a simple biomolecule interacts with a set of chemically distinct macroscopic surfaces. In parallel, we have also developed both first- principles theory and atomistic simulation approaches that provide molecular-level structural details unavailable to experiment alone. Leveraging these promising preliminary results we propose here the systematic experimental, theoretical and computational study of protein-surface interactions, with our overarching goal being to understand protein-surface interactions in sufficient detail to predict or even rationally design protein-surface pairings supporting reversible refolding and the retention of function.

Public Health Relevance

Health relevance. Proteins interact with surfaces in many and varied ways, and the rich behaviors that results from these interactions is interesting from both a scientific and, increasingly, practical standpoint. Many important biotechnologies, for example, exploit ?or, more often, are limited by? such interactions, including biosensors, protein microarrays, drug-targeting nanoparticles, biocompatible materials, and tissue engineering scaffolds. Despite the importance of such effects, however, our understanding of the mechanisms by which proteins interact with surfaces ?much less how we might rationally control such interactions? remains limited. By producing quantitative, experimentally-tested, structurally-resolved models of how proteins interact with specific surfaces the successful conclusion of our research will not only further our understanding of this important biological phenomenon but also augment our ability to design functional, biomolecule-modified and biomolecule-resistant surfaces and materials.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM118560-02
Application #
9394809
Study Section
Macromolecular Structure and Function B Study Section (MSFB)
Program Officer
Lyster, Peter
Project Start
2017-01-01
Project End
2020-11-30
Budget Start
2017-12-01
Budget End
2018-11-30
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of California Santa Barbara
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
094878394
City
Santa Barbara
State
CA
Country
United States
Zip Code
93106
Watkins, Herschel M; Ricci, Francesco; Plaxco, Kevin W (2018) Experimental Measurement of Surface Charge Effects on the Stability of a Surface-Bound Biopolymer. Langmuir :
Kurnik, Martin; Ortega, Gabriel; Dauphin-Ducharme, Philippe et al. (2018) Quantitative measurements of protein-surface interaction thermodynamics. Proc Natl Acad Sci U S A 115:8352-8357
Ganguly, Pritam; Boserman, Pablo; van der Vegt, Nico F A et al. (2018) Trimethylamine N-oxide Counteracts Urea Denaturation by Inhibiting Protein-Urea Preferential Interaction. J Am Chem Soc 140:483-492