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297 Pages·2016·15.13 MB·English
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INFLUENCE OF AROMATIC AND NEGATIVELY CHARGED SIDE CHAINS ON MEMBRANE PROTEIN STABILITY AND HYSTERESIS by Sarah Kempka McDonald A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland February 2016 © 2016 Sarah Kempka McDonald All Rights Reserved Abstract Fundamental to the field of biophysics is quantitating and understanding the physical forces responsible for the interactions of biomolecules. Membrane proteins are presented with cellular bilayers that provide a unique medium in which hydrophobic sequences can fold. Knowledge of the energetics of protein-lipid interactions is thus vital to understand cellular processes involving membrane proteins. In this work, we have addressed two important questions in biology: how do the aromatic side chains respond to the water density gradient in the membrane and how can we engineer membrane proteins to fold reversibly at a neutral pH? To address the first question, we used a host- guest mutational strategy with an outer membrane protein (OmpLA) to measure the water-to-lipid side chain transfer free energies as a function of membrane depth. The experimental measures demonstrated an energetic gradient in Trp and Tyr transfer, which was most favorable at the membrane interface. Complimenting this study with molecular dynamics simulations revealed the energetics were correlated with the changing water density naturally present in the membrane. To address the second question, we used the OmpLA folding system that is reversible at pH 3.8, but displays large hysteresis in unfolding/folding denaturant titrations at pH 8. We hypothesized that the ionization states of negative side chains were responsible for closure of the hysteresis gap. This idea was tested by introducing AspAsn and GluGln mutations to neutralize the charges in various regions of the molecule. Although hysteresis could not be completely eliminated at pH 8, we show that neutralization mutations in the loops and turns were responsible for a 60% closure in the hysteresis gap relative to the WT protein. Results from these ii projects may be applied to model protein structures in the membrane and will aid in the engineering of membrane proteins. Thesis advisor: Dr. Karen G. Fleming Second reader: Dr. Jeffrey Gray Thesis committee: Dr. Doug Barrick, Dr. Bertrand Garcia-Moreno, & Dr. Albert Lau iii Acknowledgements First I want like to thank my family. I would like to give a special thanks to my grandmother Gail Herron. Without your love, faith, and family traditions none of us would be who we are today. In memorium, I would like to thank my grandfather Jack Herron, who passed away while I was writing my thesis. I wish you would have seen me graduate, but I know how proud you were of me and I will carry that in my heart. I would next like to thank my mother Dianne Herron and my father Neil Kempka for allowing me to follow my dreams and supporting me along the way. I feel as I have the best of both of your traits; my mother has blessed me with her creativity and my father with his logic. Both have blessed me with their good looks. I would also like to thank my new parents, Jaime and Patti McDonald for loving me as your own. I couldn’t be happier with the family I have chosen. Being over 1000 miles away for 6 years has been a challenge, but the experience has made me appreciate how special and great all of you are. Thank you for your love and support throughout the years. I would next like to thank my wonderful husband Riley McDonald. We have been through a lot together over the past twelve years. In all of those years I have been in college, and you have constantly adapted your life to be with me. From driving back-and- forth to Duluth nearly every weekend, to making the great leap to Baltimore, you were there. Thank you for your support and understanding. You are so much more than my husband, you are my best friend and I look forward to the many years and adventures we have ahead of us. iv Thanks to the past and present members of the Fleming lab. It has been really fun to see the lab grow and change over the years. When I first joined in 2011, Emily Danoff was the only graduate student. Not only did she train me, she challenged me, and I will always love her for that. Over the years I have had the pleasure of working with two post- docs: Nathan Zaccai and Dennis Gessmann. Thank you for bringing your talents into the lab-you have both taught me so much. Cliff Sandlin joined the lab the year after me, and I am appreciative of his thoughtful insight on my projects. When Ashlee Plummer joined the next year, she brought a positive energy that not only motivated me, but also made coming to work every day a joy. I will miss starting my day with our chats over coffee. Thanks to Henry Lessen, for laughing at my jokes and whose own humor brightened my days. I am also grateful for Dagan Marx, who will carry on the stability measurements after my departure. I also cannot forget all of the bright undergraduates we have had in our lab: Sam Chirtel, Will Chung, Margo Goodall, Mike Yamakawa, Quenton Bubb, and Shawn Costello. Finally, I would like to thank Pat Fleming. Thank you Pat for being my second mentor and reminding me to always look at the chemical structure! Finally, huge thanks to all members of my thesis committee: Jeff Gray, Doug Barrick, Bertrand Garcia-Moreno and Albert Lau. Without you challenging my data, it would not be what it is today. Last, but not least, I would like to thank my thesis advisor Karen Fleming. Karen, I will never be able to express how grateful I am. You have taught me invaluable skills not only in science, but in life. Working with you has allowed me to grow my confidence and develop into a great scientist. Thank you for being so kind and caring. I am so glad that I was able to spend the last 6 years working with you. v List of abbreviations Agg Aggregation AIC Akaike’s information criterion ASA Accessible surface area ATP Adenosine triphosphate ATPase Enzymes that hydrolyze ATP AUC Analytical ultracentrifugation BAM complex -barrel assembly machine complex in outer membrane CD Circular dichroism COM Center of mass DLPC 1,2-dilauroyl-sn-glycero-3-phosphocholine DOF Degrees of freedom DOPC 1,2-dioleoyl-sn-glycero-3-phosphocholine DTNB 5,5′-dithio-bis-(2-nitrobenzoic acid) EDTA Ethylenediaminetetraacetic acid Exp. Exponential Gau. Gaussian GdnHCl Guanidine hydrochloride GTP Guanosine triphosphate GTPases Enzymes that hydrolyze GTP HDS 1-hexadecanosulfonic acid HEPC 2-hexadecanoyl-1-ethylphosphorylcholine IF In fusion IM Inner membrane IMP Inner membrane protein IPTG Isopropyl β-D-1-thiogalactopyranoside Lin. Linear LPS Lipopolysaccharide vi LUV Large unilamellar vesicle MARCC Maryland advanced research computing center MD Molecular dynamics NMR Nuclear magnetic resonance OM Outer membrane OMP Outer membrane protein OmpA Full length OmpA, includes the periplasmic domain 325 POPC 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine POPG 1-palmitoyl -2-oleoyl-sn-glycero-3-phosphoglycerol QC Quickchange Res. Residuals RGD Rayleigh-Gans-Debye RMSD Root mean squared S.C. Side chain SB3-14 3-N,N-Dimethylmyristyl-ammonio-propanesulfonate SDS Sodium dodecyl sulfate Sig. Sigmoidal SUV Small unilamellar vesicle TB Terrific broth TRIS Tris(hydroxymethyl)aminomethane uOMP Unfolded outer membrane protein VMD Visual molecular dynamics vii List of proteins BamA -barrel and POTRA component of BAM complex BamBCDE Additional proteins in BAM complex bR Bacteriorhodopsin DegP Periplasmic chaperone and protease DGK Diacyl glycerol kinase FadL Fatty acid transporter in outer membrane of bacteria FtsY SRP peripheral membrane protein receptor KdpD Potassium sensor in inner bacterial membrane OmpA Outer membrane protein A, phage receptor OmpC Outer membrane protein C, osmoporin OmpLA Outer membrane phospholipase A OmpT Outer membrane protein T OmpW Outer membrane protein W OmpX Outer membrane protein X PagP Enzyme in outer membrane, transfers a palmitate chain from a phospholipid to lipid A POTRA P1-P5 Polypeptide translocation associated domains in BAM complex SecA ATPase that provides the energy for translocation through SecYEG SecB Cytosolic chaperone for proteins that pass through the inner membrane SecYEG Protein translocation channel in bacteria Skp Seventeen kiloDalton protein, periplasmic chaperone SRP Signal recognition particle, directs polypeptide chain to translocon SurA Periplasmic chaperone and prolyl isomerase TF Trigger factor, ribosome binding chaperone Wza Outer membrane lipoprotein Wza, polysaccharide translocon viii Table of contents Abstract ii Acknowledgements iv List of abbreviations vi List of proteins viii Table of contents ix List of tables xi List of figures xv Chapter 1 Introduction 1 1.1 Overview and perspectives 1 1.2 Structures of membrane proteins and lipid bilayers 2 1.3 Biogenesis of membrane proteins in gram negative bacteria 6 1.4 Membrane protein stability measurements in vitro 13 1.5 The role of aromatic side chains in membrane protein stability 24 and folding 1.6 Overview of thesis 35 1.7 Figures 41 Chapter 2 Aromatic side chain water-to-lipid transfer free energies in 50 membrane proteins reflect the water density gradient across the bilayer normal 2.1 Abstract 50 2.2 Introduction 51 2.3 Materials and methods 55 2.4 Results 65 2.5 Discussion 77 2.6 Tables and figures 82 ix Chapter 3 Molecular dynamics simulations of aromatic side chain 133 variants show site specific behavior in response to the membrane and protein environment 3.1 Abstract 133 3.2 Introduction 134 3.3 Materials and methods 137 3.4 Results 141 3.5 Discussion 148 3.6 Tables and figures 151 Chapter 4 Neutralization of negative charges in the loops and turns 189 partially closes the hysteresis gap in outer membrane protein folding 4.1 Abstract 189 4.2 Introduction 190 4.3 Materials and methods 194 4.4 Results 201 4.5 Discussion 212 4.4 Tables and figures 218 Chapter 5 Concluding remarks 246 References 254 Curriculum vitae 278 x

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A dissertation submitted to Johns Hopkins University in conformity with the dynamics simulations revealed the energetics were correlated with the projects may be applied to model protein structures in the membrane and will aid in I would next like to thank my wonderful husband Riley McDonald.
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