Equation of State for Phospholipid Self-Assembly

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Presentation transcript:

Equation of State for Phospholipid Self-Assembly Derek Marsh  Biophysical Journal  Volume 110, Issue 1, Pages 188-196 (January 2016) DOI: 10.1016/j.bpj.2015.11.012 Copyright © 2016 Biophysical Society Terms and Conditions

Figure 1 Temperature dependence of the entropy ΔStro (upper panel) and enthalpy ΔHtro (lower panel) of lipid monomer transfer from water to micelles of saturated 1-acyl lysophosphatidylcholines (n:0)LPC (solid symbols and lines) and 1,2-diacyl phosphatidylcholines (n:0)2PC (open symbols and dashed lines) of different chain lengths, n. Experimental data from Heerklotz and Epand (6). Biophysical Journal 2016 110, 188-196DOI: (10.1016/j.bpj.2015.11.012) Copyright © 2016 Biophysical Society Terms and Conditions

Figure 2 Dependence of the transfer entropy ΔStr25 (upper panel) and enthalpy ΔHtr25 (lower panel), from water into micelles at 25°C, on heat capacity of transfer ΔCPo for the lysophosphatidylcholines and diacyl phosphatidylcholines of Fig. 1 (solid squares). Solid lines are linear regressions according to Eqs. 1 and 2 (regression coefficients: 0.971 and −0.952, respectively). Open squares are corresponding data for charged lipids (8:0)2PG and (8:0)2PA in 0 and 0.15 M NaCl, from Marsh (7). Biophysical Journal 2016 110, 188-196DOI: (10.1016/j.bpj.2015.11.012) Copyright © 2016 Biophysical Society Terms and Conditions

Figure 3 Temperature dependence of the free energy ΔGtro of lipid monomer transfer from water into micelles of 1-acyl lysophosphatidylcholines (n:0)LPC (solid symbols and lines) and 1,2-diacyl phosphatidylcholines (n:0)2PC (open symbols and dashed lines). Symbols defined as in Fig. 1. Lines are predictions from Eq. 3 with the parameters obtained from Fig. 2 and heat capacities of transfer, for each phosphatidylcholine as indicated on the figure. Biophysical Journal 2016 110, 188-196DOI: (10.1016/j.bpj.2015.11.012) Copyright © 2016 Biophysical Society Terms and Conditions

Figure 4 Temperature dependence of the critical micelle concentration, [CMC] in molar units, of 1-acyl lysophosphatidylcholines (n:0)LPC (solid symbols and lines) and 1,2-diacyl phosphatidylcholines (n:0)2PC (open symbols and dashed lines). Data from Heerklotz and Epand (6), with additional points from the literature (10,11,16,18–26)—see Marsh (8). Symbols and annotations as in Fig. 3. Lines are predictions from Eqs. 3 and 4, with fixed parameters as in Fig. 3 and effective heat capacities from Table 1. Biophysical Journal 2016 110, 188-196DOI: (10.1016/j.bpj.2015.11.012) Copyright © 2016 Biophysical Society Terms and Conditions

Figure 5 Temperature dependence of the critical micelle concentration of spin-labeled phosphatidylglycerol (12:0/4-DOXYL5:0)PG in 0.15 M NaCl (squares), and phosphatidylcholine (12:0/4-DOXYL5:0)PC in water (circles). Data from King and Marsh (15). Lines are predictions from Eqs. 3 and 4, with fixed parameters as in Fig. 3 and effective heat capacities from Tables 1 and 2. Biophysical Journal 2016 110, 188-196DOI: (10.1016/j.bpj.2015.11.012) Copyright © 2016 Biophysical Society Terms and Conditions

Figure 6 Dependence of the enthalpy ΔHtr25 (upper panel) and entropy ΔStr25 (lower panel), for transfer from water into the gas phase (circles) or neat liquid phase (squares) at 25°C, on heat capacity of transfer ΔCPo for gaseous n-alkanes (circles, from Abraham and Matteoli (35)) and liquid aromatic and aliphatic hydrocarbons (squares, from Gill and Wadsö (27)). Biophysical Journal 2016 110, 188-196DOI: (10.1016/j.bpj.2015.11.012) Copyright © 2016 Biophysical Society Terms and Conditions

Figure 7 Chain-length dependence of the standard free energy of transfer (see Eq. 4) of 1,2-diacyl phosphatidylcholines (n:0)2PC from water to micelles (or bilayers) at 21−25°C. (Circles) All experimental data points collected in Marsh (8), which includes those in Table 1. (Solid line) Linear regression to all data points; (dashed line) linear regression for data with n ≤ 10. Uncertainty range without symbol is extrapolated to n=12 from the linear regression. Biophysical Journal 2016 110, 188-196DOI: (10.1016/j.bpj.2015.11.012) Copyright © 2016 Biophysical Society Terms and Conditions