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Copyright © 2004, The National Academy of Sciences Biophysics Membrane growth can generate a transmembrane pH gradient in fatty acid vesicles Howard Hughes Medical Institute and Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114 * To whom correspondence should be addressed. E-mail: szostak/at/molbio.mgh.harvard.edu. Edited by Leslie Orgel, The Salk Institute for Biological Studies, La Jolla, CA, and approved March 22, 2004 Received December 4, 2003. This article has been cited by other articles in PMC.Abstract Electrochemical proton gradients are the basis of energy transduction in modern cells, and may have played important roles in even the earliest cell-like structures. We have investigated the conditions under which pH gradients are maintained across the membranes of fatty acid vesicles, a model of early cell membranes. We show that pH gradients across such membranes decay rapidly in the presence of alkali-metal cations, but can be maintained in the absence of permeable cations. Under such conditions, when fatty acid vesicles grow through the incorporation of additional fatty acid, a transmembrane pH gradient is spontaneously generated. The formation of this pH gradient captures some of the energy released during membrane growth, but also opposes and limits further membrane area increase. The coupling of membrane growth to energy storage could have provided a growth advantage to early cells, once the membrane composition had evolved to allow the maintenance of stable pH gradients. Modern cells rely on electrochemical proton gradients for energy transduction and metabolism. Energy obtained from light or the oxidation of organic compounds drives the generation of these gradients, which can be used as an energy source for ATP synthesis. However, these processes require complex macromolecular machinery, including membrane-bound proton pumps, which were unavailable to early cellular life. We investigated the possibility of pH gradient energy storage in fatty acid vesicles, a model system for protocellular membranes. These vesicles can take part in unusual and interesting behaviors, including autocatalytic self-assembly (1, 2) and cyclical growth and division (3). These behaviors suggest that similar self-replicating vesicles may have played a crucial role in the formation of early protocells (4–8). In addition to their self-reproducing properties, a major advantage of fatty acid vesicles over phospholipid liposomes as prebiotic membranes is their chemical simplicity. Fatty acids have been found in extraterrestrial samples, such as the Murchison meteorite (9, 10), and can be synthesized under simulated prebiotic conditions (11–15). However, a perceived disadvantage of pure fatty acid membranes is that they are highly permeable to protons and are therefore incapable of maintaining pH gradients. Indeed, the addition of a small amount of oleic acid to phospholipid vesicles results in the dissipation of preestablished pH gradients within several seconds (16–19). The mechanism of pH gradient decay in phospholipid vesicles doped with fatty acid is believed to involve incorporation of fatty acid into the membrane, followed by flip-flop of protonated fatty acid molecules and release of protons, thereby equilibrating the pH across the membrane (16, 20). The change of pH inside vesicles can also be used as a surrogate measurement for the change in cation concentration, in situations in which proton flux is electrically counterbalanced by cation flux (21). Cation permeability constants are quite low for model phospholipid membranes. Permeability constants for potassium through pure phosphatidylcholine membranes are typically from 10–10 to 10–12 cm/s, such that the equilibration of large unilamellar liposomes takes at least several hours (22). However, the flip-flop of fatty acids is much faster, with equilibration occurring within a few seconds (20, 23, 24). Although previous work on proton and cation permeation has focused on pure phospholipid membranes or phospholipid membranes doped with a small amount of fatty acid, fatty acids themselves form negatively charged vesicles when prepared at a pH close to the pKa of the acid when incorporated into the membrane (25–27). Vesicles are initially formed as an aqueous dispersion of fatty acid, with a highly polydisperse size distribution (50 nm to several microns in diameter; ref. 28), which is consistent with the thermodynamics of vesicle systems (29). These preparations can be extruded through small-pore filters to yield vesicles of a defined size (30) that are stable for at least several hours (3, 25). Under these conditions, fatty acid micelles and free molecules are present in equilibrium with vesicles at a concentration equal to the critical aggregate concentration (cac), which is similar to a phase equilibrium (1, 31). For pure fatty acid vesicles prepared in high buffer concentrations, proton flux driven by a transmembrane pH gradient would soon lead to a significant membrane potential, halting further flux unless cations were moved in the opposite direction (21, 32). To understand the properties of pure fatty acid vesicles with respect to the maintenance and decay of pH gradients, we studied the pathway of proton flux and found that the transmembrane movement of cation-associated fatty acid appears to be the rate determining process in pH gradient decay. We also used an impermeant cation, arginine, to create pure fatty acid vesicles that can maintain a pH gradient for several hours. The ability of fatty acid vesicles to grow by incorporating additional fatty acid is one of their most interesting dynamic properties from an origin-of-life perspective. Growth can be achieved by the addition of fatty acid micelles, prepared at high pH, to a solution of preformed vesicles buffered at the proper pH. The system is transiently out of equilibrium upon micelle addition but reequilibrates as the fatty acid is incorporated into preformed and de novo vesicles (33). The final vesicle size distribution may depend on the protocol used for micelle addition (2, 3, 28). Growth in these systems has been demonstrated by several methods, including cryotransmission electron microscopy (2), dynamic light scattering (DLS) (34, 35), field flow fractionation with inline multiangle light scattering, and fluorescence resonance energy transfer (FRET) changes in membrane-incorporated dyes (3). The FRET assay relies on the distance-dependent fluorescence of nonexchanging lipid dyes. As membrane area increases, the surface density of the dyes decreases, causing a quantitative decrease in the FRET signal. This assay has been used to specifically measure changes in the surface area of preformed membranes, and it is insensitive to the potentially confounding effects of de novo vesicle formation and the so-called “matrix effect” on vesicle diameter (28). In fatty acid vesicles capable of maintaining a pH gradient, we found that growth resulted in the creation of a pH gradient, because protonated fatty acid molecules crossed the membrane and released protons into the interior. Our results demonstrate a simple means of capturing some of the energy released during membrane growth. Our results also put strong constraints on the composition of a protocellular system capable of maintaining and using pH gradients. Materials and Methods Materials. Oleic (C18:1), palmitoleic (C16:1), and myristoleic (C14:1) acid, and monomyristolein (the glycerol ester of myristoleic acid) were purchased from Nu Chek Prep (Elysian, MN). A quantity of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) was purchased from Avanti Polar Lipids; 8-hydroxypyrene-1,3,6-trisulfonic acid (HPTS; pyranine), N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)-1,2-dihexadecanoyl-sn-glycero-3-phosphoethanolamine (NBD-PE), and lissamine rhodamine B 1,2-dihexadecanoyl-sn-glycero-3-phosphoethanolamine (Rh-DHPE) were purchased from Molecular Probes; and 3H-arginine was purchased from New England Nuclear. All other chemicals were purchased from Sigma-Aldrich (St. Louis). Preparation of Fatty Acid Vesicles. Large unilamellar vesicles were prepared by mixing fatty acid with buffer (0.2 M bicine unless otherwise noted) to obtain the desired pH, typically between 7 and 9. To encapsulate HPTS, 0.5 mM HPTS was included in the resuspension solution. Vesicles labeled with the FRET dyes N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)-1,2-dihexadecanoyl-sn-glycero-3-phosphoethanolamine (NBD-PE) and lissamine rhodamine B 1,2-dihexadecanoyl-sn-glycero-3-phosphoethanolamine (Rh-DHPE) were prepared by mixing the dyes with fatty acid in methanol, removing the solvent by rotary evaporation, and resuspending in the desired buffer. The pH of buffer solutions was adjusted with the appropriate cation hydroxide. Final fatty acid concentration in the preparation was 80 mM. Preparations were vortexed briefly and mixed end over end overnight under argon. Vesicles were extruded for eleven passes through 100-nm pore filters by using the MiniExtruder system (Avanti Polar Lipids), unless otherwise noted. Vesicles were purified from unencapsulated dye by using a gravity-flow size exclusion column (Sepharose 4B). Myristoleic acid/monomyristolein vesicles were prepared by mixing 0.5 equivalents of neat monomyristolein with fatty acid, and then following the above procedure. Fatty Acid Micelles. Fatty acid micelles were prepared by using alkali hydroxide as described (3). For stock solutions of oleatearginine micelles, neat fatty acid was added to a 13–15% methanol solution containing one equivalent of arginine. This addition was necessary because micelles prepared without methanol formed a gel. The final concentration of methanol in growth reactions was <0.6%. This amount did not affect HPTS fluorescence or cause detectable leakage of encapsulated dye. DLS of oleate-arginine micelles was measured by an ALV/DLS/SLS-5000 compact goniometer system (ALV-GmbH, Langen, Germany) with a CW argon-ion laser and a detection angle of 90°. Data were analyzed by the method of cumulants (36, 37). pH Measurement. A pH meter (pH-25, Corning) was used to determine the pH of buffer solutions and vesicle solutions during preparation. Encapsulated HPTS was used to monitor internal vesicle pH. HPTS was excited at 402 and 460 nm and the emission was detected at 510 nm. The ratio of these emissions depends on the pH (38), and a standard curve was made by using vesicles prepared at different pH. All fluorescence measurements were performed by using a Cary Eclipse fluorimeter (Varian). Assay for Surface Area Growth in Vesicles. FRET efficiencies (ε) were approximated as 1 – Fv/Ft, where Fv is donor fluorescence in vesicles and Ft is donor fluorescence after the addition of 1% Triton X-100 (39, 40). Donor fluorescence was measured at 530 nm with excitation at 430 nm. A standard curve was generated by using known dye concentrations in vesicles. Stopped-Flow Kinetics. Vesicles were diluted to a concentration between 1.5 and 6 mM and were loaded into a 2.5-ml syringe of the RX-2000 rapid mix accessory to the fluorimeter (Applied Photophysics, Surrey, U.K.). In pH gradient decay experiments, buffer of the appropriate pH was loaded into a 2.5-ml syringe. The observed rate constant (k) of pH gradient decay was used to calculate a permeability coefficient by using the formula P = k(V/S), where V and S are the calculated volume and surface area of a 100-nm diameter vesicle, respectively. In growth experiments, micelles were loaded into a 100-μl syringe in 25-fold excess of the desired final concentration. Stopped-flow mixing was performed according to manufacturer's instructions. Fluorescence data were converted to internal vesicle pH or relative surface area by using the standard curves. Time course curves were fit to first-order exponential decay equations by using nonlinear regression. Arginine Permeability Assay. A quantity of 3H-arginine (2 μCi; 1 Ci = 37 GBq) was encapsulated by addition to buffer before resuspension with oleic acid. Vesicles were purified from unencapsulated 3H-arginine by size exclusion chromatography (Sepharose 4B). Size exclusion chromatography was repeated at different time points and the radioactivity in encapsulated and unencapsulated fractions was quantified by scintillation counting. Determination of Cac. Oleate vesicles were prepared by diluting a micelle stock into 0.2 M bicine, pH 8.5. After mixing for 3 h, the turbid solution was serially diluted in the concentration range from 1 μM to 2 mM. The 90° light scattering was measured by a PDDLS/Batch system (Precision Detectors, Bellingham, MA). Scattering intensities at low and high concentrations were log-transformed and were fit to straight lines, and the point of intersection was used to estimate the cac. Results We first verified that fatty acid vesicles prepared in the presence of alkali metal cations show high proton permeability. Vesicles prepared in 0.2 M bicine, pH 8.5 by using Na+, K+, Cs+, or Rb+ as a cation were mixed with buffer in a stopped-flow device to a final pH of 8.0, thereby establishing a pH gradient across the membrane. The internal pH of the vesicles was calculated from the changes in the fluorescence of an encapsulated dye, HPTS. pH equilibration occurred within a few seconds and data were well fit by a single exponential decay (Fig. 1A
Due to the high buffer concentration, the observed proton flux was too large to result from unidirectional fatty acid flip-flop and ionization. Because the membrane is only very slowly permeable to bicine (42), the fast pH gradient decay must be mediated by cation flux balancing proton flux (43). The rate constant of decay (k) for alkali metals decreased moderately when proceeding down the periodic table (Fig. 1B Our data for pure fatty acid vesicles are consistent with a mode of cation transport analogous to proton transport by fatty acid flip-flop, in which anionic oleate acts as an ionophore (47). To test this hypothesis, we prepared membranes composed of fatty acids with shorter acyl chains, which should exhibit faster flip-flop and therefore faster cation transport. This finding was verified by using myristoleate and palmitoleate vesicles prepared with K+ (Table 1). This transport pathway avoids the electrostatic barrier to transport of ions by diffusion through the hydrophobic core (48), and it allows fast cation permeation through fatty acid vesicles, relative to model membranes composed of phospholipids, which have flip-flop lifetimes of several hours (49). We were initially motivated to study the decay of pH gradients in pure fatty acid vesicles because we predicted that vesicle growth would generate a pH gradient. Growth should acidify the vesicle interior because half of the fatty acid that is initially incorporated into the outer leaflet of the membrane must transfer to the inner leaflet. This action presumably occurs through the flip-flop of the protonated acid, which is much faster than the flip-flop of negatively charged oleate (50). Fatty acid added to the inner leaflet would then equilibrate with the vesicle interior, causing acidification (20). This process would store some of the energy released during spontaneous vesicle growth in the form of a pH gradient (Fig. 2
To test this hypothesis, we required a fatty acid vesicle system that could maintain a pH gradient. Because cation permeability appeared to determine the rate of pH gradient decay across fatty acid membranes, we looked for chemically simple but impermeant cations to prevent the decay of pH gradients. Choline, which has been used to prevent cation flux in phospholipid membranes (32), slowed pH gradient decay somewhat (t1/2 ≈ 6 sec) in oleate vesicles. Arginine slowed the decay to a time scale much longer than growth (t1/2 ≈ 16 h, Fig. 3A
With the oleate-arginine system, we were able to study whether membrane growth caused pH acidification inside vesicles. Oleate-arginine vesicles were grown by stopped flow mixing of one equivalent of micelles with buffered vesicles. A significant internal pH drop was in fact observed upon micelle addition (Fig. 3B
An intriguing possibility was that the pH gradient itself opposed further growth. As a pH gradient develops across the membrane, it becomes increasingly difficult to further increase the pH gradient because work must be performed against the gradient (51). The magnitude of the additional work would not depend on the buffer concentration, which is consistent with the results described above. We hypothesized that a preexisting but opposite pH gradient, i.e., vesicle interior alkaline relative to the external buffer, would allow a greater decrease in internal pH during growth. Indeed, if vesicles were prepared at high pH, diluted into a lower pH buffer, and then mixed with micelles, the magnitude of internal acidification increased as the pH of the exterior buffer decreased, causing a pH drop of up to 0.8 pH units (Table 2). Although the surface area increase of oleatearginine vesicles had been undetectable by the FRET assay when the initial internal and external pHs were equal, membrane growth of these initially alkaline vesicles was detectable as a 15% increase in surface area. Moreover, the increase observed by FRET had a time scale identical to the time scale of the acidification. (Fig. 3C In a further search for factors that could limit the growth of oleate-arginine vesicles, we asked whether the state of the added micelles could influence the extent of fatty acid incorporation into preformed membranes. Micelles diluted into an intermediate pH are rapidly transformed into metastable structures, which slowly evolve into vesicles (33). Because the energetically favorable micelle-to-vesicle transition drives growth, the driving force for growth decreases as the micelles are gradually altered in the low pH environment. We hypothesized that if a second aliquot of freshly prepared micelles was added to vesicles that had been previously grown to equilibrium, further vesicle growth should occur. As predicted, further acidification was observed upon addition of fresh micelles (Table 2). Taken together, these results indicate that vesicle growth was not limited by intrinsic properties of the membrane, but rather that growth stops when the “back pressure” of the proton gradient equals the driving force for growth (52, 53). Discussion The observed fast pH gradient decay in pure fatty acid vesicles prepared with alkali metal cations extends previous observations of rapid proton permeability mediated by small amounts of oleic acid (<5 mol %) in phospholipid vesicles (20, 51, 54). We found that the rate of pH gradient decay depends strongly on the identity of the cation, such that a relatively impermeant cation, arginine, allowed pH gradients to be maintained for several hours. This result is consistent with electroneutrality requirements, because uncompensated directional proton movement would create a transmembrane potential, limiting further ion flux. We determined the rate of decay of a pH gradient in the presence of different alkali metal cations. Because large changes in proton concentration were necessary to change the pH of the buffered solution in these experiments, proton flux was effectively limited by cation flux in the opposite direction. The decay of the pH gradient was therefore an indirect measure of the simultaneous decay of the cation gradient. Na+ was found to be most permeable, followed by K+, and Rb+, and Cs+ (Fig. 1B The pathway for cation transport may be written as follows, where subscripts i and o on chemical species denote the volumes on the inside and outside of the vesicle respectively, C+ denotes a cation, and FA– denotes a deprotonated fatty acid (e.g., oleate). Assuming that pH gradient decay is limited by cation transport, the apparent rate constant (kapp) for pH gradient decay is We studied the generation of a transmembrane pH gradient during growth by using oleate-arginine vesicles (Fig. 2 The conversion of micelles to vesicles is exergonic, and some of this energy was transduced into a transmembrane pH gradient. To estimate the efficiency of this conversion, the free energy of the micelle to vesicle transition was estimated from the cac of oleic acid in our system (82 μM, Fig. 4
The energy stored in a 0.3-pH unit transmembrane gradient per mol of protons transferred is given by ΔGgradient = –2.3 RT(ΔpH) =–1.7 kJ/mol. The titration of 0.2 M bicine from pH 8 to 7.7 requires the addition of 25 mM H+. Given the volume of a vesicle, 2.2 × 10–17 J are stored in the pH gradient per vesicle. Thus, the overall efficiency of energy transfer from the micelle to vesicle transition into the pH gradient was ≈12%. Part of this energetic loss is a necessary consequence of the process of growth. Approximately half of the fatty acid molecules incorporated into a preformed vesicle will be incorporated into the inner leaflet. Of these, approximately half will dissociate to produce a proton and the corresponding anion, because the solution is near the pKa of the membrane-incorporated fatty acid. Given these losses, the theoretical maximum efficiency for the conversion of energy into the pH gradient would be 25%. The remainder of the energy loss may be due to several factors, including the fast relaxation of micelles into metastable structures and entropic increases resulting from alterations in the structure of water surrounding the micelle or vesicle. The observed energy efficiency is similar to that of other energy transduction systems based on pH gradients (52); for example, the energy efficiency of photosynthetic conversion of absorbed red light into reduced carbon is 34% (60). In comparison with these systems, however, energy transduction is achieved in oleate-arginine vesicles with only a few chemical components, namely oleate and a buffer by using an impermeant cation. This simple chemical system demonstrates energy storage in the form of a pH gradient created by spontaneous vesicle growth. In a prebiotic context, growing vesicles might gain a selective advantage if the gradient could be used to drive other useful processes, such as uptake of metabolically useful amines (61). From a systems perspective, this process may couple growth of one protocellular component, the membrane, to the growth of other components that are able to use the stored energy. These studies also emphasize that the maintenance of a substantial transmembrane pH gradient in fatty acid vesicles is contingent on a membrane with low cation permeability. To use the energy released during membrane growth, early protocells using fatty acid membranes would have had to exist in the absence of a substantial concentration of alkali cations, which seems unlikely. Therefore, the ability to use energy stored in pH gradients may not have been possible until the evolution of membranes composed of less permeable membrane components, such as phosphate or glycerol esters, and with relatively low steady-state levels of free fatty acids. Finally, our observation that the development of an internally acidic pH gradient is strongly inhibitory to further membrane growth suggests that the evolution of less permeable membranes may have required the coevolution of ionophores to relax the inhibitory pH gradient. Further advantage may have been obtained through the evolution of a proton “pump,” requiring energetic input, that could generate an alkaline vesicle interior to increase the rate of membrane growth (61, 62). Such a pump, running in reverse, could have been co-opted later as part of a mechanism to couple a transmembrane gradient to the formation of energy-rich bonds. Acknowledgments We thank Shelly Fujikawa, Martin Hanczyc, and Pierre-Alain Monnard for technical advice and comments on the manuscript; Johan Mattson and David Weitz for guidance and use of the ALV-DLS; and David Deamer, Matthew Hartman, and Ching-Hsuan Tsai for comments on the manuscript. J.W.S. is an investigator of the Howard Hughes Medical Institute. This work was supported in part by National Aeronautics and Space Administration Exobiology Program Grant EXB02-0031-0018; National Institutes of Health Medical Scientist Training Program Grant T32-GM07753 (to I.A.C.); and National Institutes of Health Molecular Biophysics Training Grant T32-GM08313 (to I.A.C.). Notes This paper was submitted directly (Track II) to the PNAS office. Abbreviations: DLS, dynamic light scattering; FRET, fluorescence resonance energy transfer; HPTS, 8-hydroxypyrene-1,3,6-trisulfonic acid; cac, critical aggregate concentration. References 1. Walde, P., Wick, R., Fresta, M., Mangone, A. & Luisi, P. L. (1994. ) J. Am. Chem. Soc. 116, 11649–11654. 2. Berclaz, N., Muller, M., Walde, P. & Luisi, P. L. (2001. ) J. Phys. Chem. B 105, 1056–1064. 3. Hanczyc, M. M., Fujikawa, S. M. & Szostak, J. W. (2003. ) Science 302, 618–622. [PubMed] 4. Szathmary, E. & Demeter, L. (1987. ) J. Theor. Biol. 128, 463–486. [PubMed] 5. Chakrabarti, A. C., Breaker, R. R., Joyce, G. F. & Deamer, D. W. (1994. ) J. Mol. Evol. 39, 555–559. [PubMed] 6. Cavalier-Smith, T. (2001. ) J. Mol. Evol. 53, 555–595. [PubMed] 7. Segre, D., Ben-Eli, D., Deamer, D. W. & Lancet, D. (2001. ) Origins Life Evol. Biosphere 31, 119–145. 8. Szostak, J. W., Bartel, D. P. & Luisi, P. L. (2001. ) Nature 409, 387–390. [PubMed] 9. Yuen, G. U. & Kvenvolden, K. A. (1973. ) Nature 246, 301–303. 10. Deamer, D. W. (1985. ) Nature 317, 792–794. 11. Allen, W. V. & Ponnamperuma, C. (1967. ) Curr. Mod. Biol. 1, 24–28. [PubMed] 12. Yuen, G. U., Lawless, J. G. & Edelson, E. H. (1981. ) J. Mol. Evol. 17, 43–47. 13. McCollom, T. M., Ritter, G. & Simoneit, B. R. (1999. ) Origins Life Evol. Biosphere 29, 153–166. 14. Rushdi, A. I. & Simoneit, B. R. (2001. ) Origins Life Evol. Biosphere 31, 103–118. 15. Dworkin, J., Deamer, D., Sandford, S. & Allamandola, L. (2001. ) Proc. Natl. Acad. Sci. USA 98, 815–819. [PubMed] 16. Gutknecht, J. (1988. ) J. Membr. Biol. 106, 83–93. [PubMed] 17. Schonfeld, P., Schild, L. & Kunz, W. (1989. ) Biochim. Biophys. Acta 977, 266–272. [PubMed] 18. Zhang, F., Kamp, F. & Hamilton, J. A. (1996. ) Biochemistry 35, 16055–16060. [PubMed] 19. Pohl, E. E., Peterson, U., Sun, J. & Pohl, P. (2000. ) Biochemistry 39, 1834–1839. [PubMed] 20. Kamp, F. & Hamilton, J. A. (1992. ) Proc. Natl. Acad. Sci. USA 89, 11367–11370. [PubMed] 21. Deamer, D. W. & Nichols, J. W. (1983. ) Proc. Natl. Acad. Sci. USA 80, 165–168. [PubMed] 22. Paula, S., Volkov, A. G., Van Hoek, A. N., Haines, T. H. & Deamer, D. W. (1996. ) Biophys. J. 70, 339–348. [PubMed] 23. Kamp, F., Zakim, D., Zhang, F., Noy, N. & Hamilton, J. A. (1995. ) Biochemistry 34, 11928–11937. [PubMed] 24. Kleinfeld, A. M., Chu, P. & Romero, C. (1997. ) Biochemistry 36, 14146–14158. [PubMed] 25. Gebicki, J. M. & Hicks, M. (1973. ) Nature 243, 232–234. [PubMed] 26. Small, D. M. (1986. ) in The Physical Chemistry of Lipids: From Alkanes to Phospholipids, ed. Small, D. M. (Plenum, New York), pp. 285–343. 27. Cistola, D. P., Hamilton, J. A., Jackson, D. & Small, D. M. (1988. ) Biochemistry 27, 1881–1888. [PubMed] 28. Blochliger, E., Blocher, M., Walde, P. & Luisi, P. L. (1998. ) J. Phys. Chem. B 102, 10383–10390. 29. Israelachvili, J. N. (1991. ) Intermolecular and Surface Forces (Academic, London). 30. Hope, M. J., Bally, M. B., Webb, G. & Cullis, P. R. (1985. ) Biochim. Biophys. Acta 812, 55–65. 31. Blandamer, M. J., Cullis, P. M., Soldi, L. G., Engberts, J. B., Kacperska, A., Van Os, N. M. & Subha, M. C. (1995. ) Adv. Colloid Interface Sci. 58, 171–209. [PubMed] 32. Nichols, J. W. & Deamer, D. W. (1980. ) Proc. Natl. Acad. Sci. USA 77, 2038–2042. [PubMed] 33. Chen, I. & Szostak, J. W. Biophys. J., in press. 34. Lonchin, S., Luisi, P. L., Walde, P. & Robinson, B. H. (1999. ) J. Phys. Chem. B 103, 10910–10916. 35. Rasi, S., Mavelli, F. & Luisi, P. L. (2003. ) J. Phys. Chem. B 107, 14068–14076. 36. Koppel, D. E. (1972. ) J. Chem. Phys. 57, 4814–4820. 37. Frisken, B. J. (2001. ) Appl. Opt. 40, 4087–4091. 38. Kano, K. & Fendler, J. H. (1978. ) Biochim. Biophys. Acta 509, 289–299. [PubMed] 39. Fung, B. K.-K. & Stryer, L. (1978. ) Biochemistry 17, 5241–5248. [PubMed] 40. Struck, D. K., Hoekstra, D. & Pagano, R. E. (1981. ) Biochemistry 20, 4093–4099. [PubMed] 41. Monnard, P. A. & Deamer, D. W. (2003. ) Methods Enzymol. 372, 133–151. [PubMed] 42. Fujikawa, S. M. (2003. ) Ph.D. thesis (Harvard Univ., Boston). 43. Venema, K., Gibrat, R., Grouzis, J. P. & Grignon, C. (1993. ) Biochim. Biophys. Acta 1146, 87–96. [PubMed] 44. Grahame, D. C. (1947. ) Chem. Rev. (Washington, D.C.) 41, 441–501. 45. Plesner, I. W. & Michaeli, I. (1974. ) J. Chem. Phys. 60, 3016–3024. 46. Hunter, R. J. (2001. ) Foundations of Colloid Science (Oxford Univ. Press, Oxford). 47. Zeng, Y., Han, X., Schlesinger, P. & Gross, R. W. (1998. ) Biochemistry 37, 9497–9508. [PubMed] 48. Volkov, A. G., Paula, S. & Deamer, D. W. (1997. ) Bioelectrochem. Bioenerg. 42, 153–160. 49. van der Meer, B. W. (1993. ) in Biomembranes: Physical Aspects, ed. Shinitzky, M. (VCH, New York), pp. 97–158. 50. Hamilton, J. A. (1998. ) J. Lipid Res. 39, 467–481. [PubMed] 51. Thomas, R. M., Baici, A., Werder, M., Schulthess, G. & Hauser, H. (2002. ) Biochemistry 41, 1591–1601. [PubMed] 52. Sun, K. & Mauzerall, D. (1996. ) Proc. Natl. Acad. Sci. USA 93, 10758–10762. [PubMed] 53. van Rotterdam, B. J., Westerhoff, H. V., Visschers, R. W., Bloch, D. A., Hellingwerf, K. J., Jones, M. R. & Crielaard, W. (2001. ) Eur. J. Biochem. 268, 958–970. [PubMed] 54. Kamp, F., Hamilton, J. A. & Westerhoff, H. V. (1993. ) Biochemistry 32, 11074–11086. [PubMed] 55. Eisenberg, M., Gresalfi, T., Riccio, T. & McLaughlin, S. (1979. ) Biochemistry 18, 5213–5223. [PubMed] 56. Marsh, D. (1993. ) in Biomembranes: Physical Aspects, ed. Shinitzky, M. (VCH, New York), pp. 1–28. 57. Kraayenhof, R., Sterk, G. J., Wong Fong Sang, H. W., Krab, K. & Epand, R. M. (1996. ) Biochim. Biophys. Acta 1282, 293–302. [PubMed] 58. Molyneux, P., Rhodes, C. T. & Swarbrick, J. (1965. ) Trans. Faraday Soc. 61, 1043–1052. 59. Tanford, C. (1980. ) The Hydrophobic Effect: Formation of Micelles and Biological Membranes (Wiley, New York). 60. Whitmarsh, J. & Govindjee. (1999. ) in Concepts in Photobiology: Photosynthesis and Photomorphogenesis, eds. Singhal, G. S., Renger, G., Irrgang, K.-D., Sopory, S. & Govindjee (Narosa Publishers/Kluwer Academic Publishers, New Delhi), pp. 11–51. 61. Hope, M. J. & Cullis, P. R. (1987. ) J. Biol. Chem. 262, 4360–4366. [PubMed] 62. Eastman, S. J., Wilschut, J., Cullis, P. R. & Hope, M. J. (1989. ) Biochim. Biophys. Acta 981, 178–184. [PubMed] |
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Science. 2003 Oct 24; 302(5645):618-22.
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[Curr Mod Biol. 1967]Proc Natl Acad Sci U S A. 2001 Jan 30; 98(3):815-9.
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[Biochemistry. 2000]J Membr Biol. 1988 Nov; 106(1):83-93.
[J Membr Biol. 1988]Proc Natl Acad Sci U S A. 1992 Dec 1; 89(23):11367-70.
[Proc Natl Acad Sci U S A. 1992]Proc Natl Acad Sci U S A. 1983 Jan; 80(1):165-8.
[Proc Natl Acad Sci U S A. 1983]Biophys J. 1996 Jan; 70(1):339-48.
[Biophys J. 1996]Biochemistry. 1995 Sep 19; 34(37):11928-37.
[Biochemistry. 1995]Nature. 1973 May 25; 243(5404):232-4.
[Nature. 1973]Biochemistry. 1988 Mar 22; 27(6):1881-8.
[Biochemistry. 1988]Science. 2003 Oct 24; 302(5645):618-22.
[Science. 2003]Adv Colloid Interface Sci. 1995 Jul 12; 58(2-3):171-209.
[Adv Colloid Interface Sci. 1995]Proc Natl Acad Sci U S A. 1983 Jan; 80(1):165-8.
[Proc Natl Acad Sci U S A. 1983]Proc Natl Acad Sci U S A. 1980 Apr; 77(4):2038-42.
[Proc Natl Acad Sci U S A. 1980]Science. 2003 Oct 24; 302(5645):618-22.
[Science. 2003]Science. 2003 Oct 24; 302(5645):618-22.
[Science. 2003]Biochim Biophys Acta. 1978 May 18; 509(2):289-99.
[Biochim Biophys Acta. 1978]Biochemistry. 1978 Nov 28; 17(24):5241-8.
[Biochemistry. 1978]Biochemistry. 1981 Jul 7; 20(14):4093-9.
[Biochemistry. 1981]Methods Enzymol. 2003; 372():133-51.
[Methods Enzymol. 2003]Proc Natl Acad Sci U S A. 1992 Dec 1; 89(23):11367-70.
[Proc Natl Acad Sci U S A. 1992]Biochemistry. 1998 Jun 30; 37(26):9497-508.
[Biochemistry. 1998]Biochim Biophys Acta. 1993 Feb 23; 1146(1):87-96.
[Biochim Biophys Acta. 1993]Proc Natl Acad Sci U S A. 1992 Dec 1; 89(23):11367-70.
[Proc Natl Acad Sci U S A. 1992]Biochemistry. 1998 Jun 30; 37(26):9497-508.
[Biochemistry. 1998]J Lipid Res. 1998 Mar; 39(3):467-81.
[J Lipid Res. 1998]Proc Natl Acad Sci U S A. 1992 Dec 1; 89(23):11367-70.
[Proc Natl Acad Sci U S A. 1992]Proc Natl Acad Sci U S A. 1980 Apr; 77(4):2038-42.
[Proc Natl Acad Sci U S A. 1980]Biochemistry. 2002 Feb 5; 41(5):1591-601.
[Biochemistry. 2002]Proc Natl Acad Sci U S A. 1996 Oct 1; 93(20):10758-62.
[Proc Natl Acad Sci U S A. 1996]Eur J Biochem. 2001 Feb; 268(4):958-70.
[Eur J Biochem. 2001]Proc Natl Acad Sci U S A. 1992 Dec 1; 89(23):11367-70.
[Proc Natl Acad Sci U S A. 1992]Biochemistry. 2002 Feb 5; 41(5):1591-601.
[Biochemistry. 2002]Biochemistry. 1993 Oct 19; 32(41):11074-86.
[Biochemistry. 1993]Biochemistry. 1998 Jun 30; 37(26):9497-508.
[Biochemistry. 1998]Biochemistry. 1979 Nov 13; 18(23):5213-23.
[Biochemistry. 1979]Biochim Biophys Acta. 1996 Jul 25; 1282(2):293-302.
[Biochim Biophys Acta. 1996]Biochemistry. 1988 Mar 22; 27(6):1881-8.
[Biochemistry. 1988]Adv Colloid Interface Sci. 1995 Jul 12; 58(2-3):171-209.
[Adv Colloid Interface Sci. 1995]Proc Natl Acad Sci U S A. 1996 Oct 1; 93(20):10758-62.
[Proc Natl Acad Sci U S A. 1996]J Biol Chem. 1987 Mar 25; 262(9):4360-6.
[J Biol Chem. 1987]J Biol Chem. 1987 Mar 25; 262(9):4360-6.
[J Biol Chem. 1987]Biochim Biophys Acta. 1989 Jun 6; 981(2):178-84.
[Biochim Biophys Acta. 1989]Science. 2003 Oct 24; 302(5645):618-22.
[Science. 2003]