Effect of lipid composition on peptide-induced coalescence in bicellar mixtures Chris Miranda 1, Michael R. Morrow 1, Valerie Booth 2,1 Memorial University.

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Effect of lipid composition on peptide-induced coalescence in bicellar mixtures Chris Miranda 1, Michael R. Morrow 1, Valerie Booth 2,1 Memorial University of Newfoundland and Labrador 1 Department of Physics and Physical Oceanography 2 Department of Biochemistry

Protein-Lipid Interactions Perturbation of bilayers by peptides can be important in many biological contexts. For example: Lung surfactant Antimicrobial activity This Study: Compare effects of a lung surfactant peptide fragment and an antimicrobial peptide on a membrane model system (bicellar dispersions) whose organization is very sensitive to perturbing interactions Ask: Do two peptides (both cationic and amphipathic but apparently different functionally) perturb the model system differently? Is the observed perturbation sensitive to bilayer composition (i.e. anionic lipid content)?

Surfactant Protein B air fluid multilayers tubular myelin lamellar bodies type II alveoli Alveolar Function H 3 N + - GR + MLPQLVCR + LVLR + CS- COO - Surfactant Protein B SP-B: 79 residue monomer Cationic (+7), amphipathic, mainly hydrophobic SP-B C-TERM Amphipathic α-helix Cationic (+3), mainly hydrophobic Retains some functionality of full length SP-B

Magainin 2 Amphipathic α-helix Cationic (+4) and hydrophobic Suggested to disrupt membrane via pore formation PDBID: 2MAG Gesell, J.. Z. M.. O. S. J. (1997). Two-dimensional 1H NMR experiments show that the 23-residue magainin antibiotic peptide is an alpha-helix in dodecylphosphocholine micelles, sodium dodecylsulfate micelles, and trifluoroethanol/water solution. J.Biomol.NMR, 9, 127–135.

Bicellar Mixtures Mixtures of long chain and short chain lipids Coalesce to larger structures upon warming Isotropic Phase Magnetically Oriented Phase Extended Lamellar Phase 21 Low Temperature High Temperature

2 H NMR of Bicelles H NMR distinguishes bicelle phases 2 H NMR Deuteron splittings reflect motional averaging of orientational dependent quadrupole interaction

Zwitterionic Bicellar Mixtures with/without SP-B C- TERM DMPC-d 54 /DHPC SP-B C-TERM has little effect on transitions in mixtures of DMPC/DHPC (both zwitterionic) DMPC-d 54 /DMPC/DHPC (3:1:1) With 10% SP-B C-TERM (w/w)

SP-B C-TERM and Bicellar Mixtures with Anionic Lipids DMPC-d 54 /DMPG/DHPC In lipid-only bicellar mixtures, anionic lipid lowers and sharpens the ribbon-to- extended lamellar transition. SP-B C-TERM further lowers the ribbon-to-extended lamellar transition Implies that SP-B C-TERM depends on the presence of anionic lipids to promote ribbon- micelle coalescence DMPC-d 54 /DMPG/DHPC (3:1:1) With 10% SP-B C-TERM (w/w)

Does SP-B C-TERM segregate DMPG? DMPC /DMPG-d 54 /DHPC DMPG-d 54 and DMPC-d 54 report similar behaviours DMPC/DMPG-d 54 /DHPC (3:1:1) With 10% SP-B C-TERM (w/w) DMPC-d 54 /DMPG/DHPC (3:1:1) With 10% SP-B C-TERM (w/w)

How does Magainin 2 affect bicellar phase behaviour? DMPC-d 54 /DMPG/DHPC Addition of Magainin 2 appeared to reverse the effect of DMPG on bicellar mixture phase behaviour Spectra similar to DMPC- d 54 /DHPC (4:1) bicelles Peptide-induced segregation of DMPG? DMPC-d 54 /DMPG/DHPC (3:1:1) With 10% Magainin 2 (w/w) DMPC-d 54 /DMPG/DHPC (3:1:1) With 10% SP-B C-TERM (w/w)

DMPC and DMPG appear to be in different environments in bicellar mixtures with Magainin DMPC /DMPG-d 54 /DHPC Spectra suggest that Magainin 2 interaction promotes a distinct environment for DMPG (anionic lipid) Peptide-induced clustering anionic lipids? DMPC/DMPG-d 54 /DHPC (3:1:1) With 10% Magainin 2 (w/w)

Conclusions Peptide-induced reorganization of bicellar mixtures appears to be facilitated by the presence of anionic lipid SP-B C-TERM Promotes ribbon-to-extended lamellar coalescence at a lower temperature when anionic lipids are present Does not appear to involve separation of DMPG and DMPC Magainin 2 Appears to preferentially interact with anionic lipids Spectra suggest separation of anionic lipids, possibly clustering

Acknowledgements Supervisor: Michael R. Morrow Group Members: Gagandeep Sandhu Suhad Sbeih Collin Knight Collaborators: Valerie Booth Donna Jackman Funding Provided by: