In vitro, trial-and-error is used to select solutes to optimize or perturb biopolymer processes (e.g. folding, assembly, crystallization, binding). Our long term goal is to develop quantitative methods to predict or interpret solute effects on biopolymer processes in terms of the amounts and types of biopolymer surfaces buried or exposed. To this end, vapor pressure osmometry is being developed to measure interactions of denaturants, osmolytes, crystallization agents and Hofmeister salts with the relatively charged and polar surfaces of native proteins and nucleic acids. Interactions of these solutes with relatively uncharged, less polar biopolymer surfaces are quantified from their effects on selected biopolymer conformational changes (unfolding of marginally stable peptides and proteins; melting of nucleic acid helices). The quantitative information about interactions of solutes with types of charged, polar and nonpolar biopolymer surface obtained from this data will be used to predict or interpret solute effects in terms of structure. Results for urea and glycine betaine show the merit of this quantitative approach for two very different solutes. In vivo, amounts of cytoplasmic solutes and their interactions with biopolymers and solutes completely determine the amount of cytoplasmic water, volume, and osmolality. We observe large changes in the amount of cytoplasmic water and in cytoplasmic concentrations of biopolymers and solutes (e.g. [K+], [glycine betaine]) in E. coli upon shifts in osmolality or addition of osmoprotectants. For all conditions examined, these changes correlate with changes in growth rate. To test these correlations and to probe their molecular basis, cytoplasmic solute composition will be varied at constant osmolality using different osmoprotectants and using strains lacking one osmoprotectant porter. Effects on growth rate and on amounts of cytoplasmic water and solutes will be determined, and used in quantitative models of volume regulation and of compensation mechanisms to reduce the perturbing effects of changes in cytoplasmic [K+].

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM047022-16
Application #
7391146
Study Section
Molecular and Cellular Biophysics Study Section (BBCA)
Program Officer
Preusch, Peter C
Project Start
1992-08-01
Project End
2009-12-14
Budget Start
2008-04-01
Budget End
2009-12-14
Support Year
16
Fiscal Year
2008
Total Cost
$270,483
Indirect Cost
Name
University of Wisconsin Madison
Department
Biochemistry
Type
Schools of Earth Sciences/Natur
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Cheng, Xian; Shkel, Irina A; O'Connor, Kevin et al. (2017) Experimental Atom-by-Atom Dissection of Amide-Amide and Amide-Hydrocarbon Interactions in H2O. J Am Chem Soc 139:9885-9894
Culham, Doreen E; Shkel, Irina A; Record Jr, M Thomas et al. (2016) Contributions of Coulombic and Hofmeister Effects to the Osmotic Activation of Escherichia coli Transporter ProP. Biochemistry 55:1301-13
Cheng, Xian; Guinn, Emily J; Buechel, Evan et al. (2016) Basis of Protein Stabilization by K Glutamate: Unfavorable Interactions with Carbon, Oxygen Groups. Biophys J 111:1854-1865
Sengupta, Rituparna; Pantel, Adrian; Cheng, Xian et al. (2016) Positioning the Intracellular Salt Potassium Glutamate in the Hofmeister Series by Chemical Unfolding Studies of NTL9. Biochemistry 55:2251-9
Shkel, Irina A; Knowles, D B; Record Jr, M Thomas (2015) Separating chemical and excluded volume interactions of polyethylene glycols with native proteins: Comparison with PEG effects on DNA helix formation. Biopolymers 103:517-27
Knowles, D B; Shkel, Irina A; Phan, Noel M et al. (2015) Chemical Interactions of Polyethylene Glycols (PEGs) and Glycerol with Protein Functional Groups: Applications to Effects of PEG and Glycerol on Protein Processes. Biochemistry 54:3528-42
Diehl, Roger C; Guinn, Emily J; Capp, Michael W et al. (2013) Quantifying additive interactions of the osmolyte proline with individual functional groups of proteins: comparisons with urea and glycine betaine, interpretation of m-values. Biochemistry 52:5997-6010
Guinn, Emily J; Schwinefus, Jeffrey J; Cha, Hyo Keun et al. (2013) Quantifying functional group interactions that determine urea effects on nucleic acid helix formation. J Am Chem Soc 135:5828-38
Record Jr, M Thomas; Guinn, Emily; Pegram, Laurel et al. (2013) Introductory lecture: interpreting and predicting Hofmeister salt ion and solute effects on biopolymer and model processes using the solute partitioning model. Faraday Discuss 160:9-44; discussion 103-20
Guinn, Emily J; Kontur, Wayne S; Tsodikov, Oleg V et al. (2013) Probing the protein-folding mechanism using denaturant and temperature effects on rate constants. Proc Natl Acad Sci U S A 110:16784-9

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