The primary constituents of honeybee venom, melittin and phospholipase A (PLA), display toxin synergism in which the PLA activity is significantly enhanced by the presence of melittin. It has been shown previously that this is accomplished by the disruption in lipid packing, which allows PLA to become processive on the membrane surface. In this work, we show that melittin is capable of driving miscibility phase transition in giant unilamellar vesicles (GUVs) and that it raises the miscibility transition temperature () in a concentration-dependent manner. The induced phase separation enhances the processivity of PLA, particularly at its boundaries, where a substantial difference in domain thickness creates a membrane discontinuity. The catalytic action of PLA, in response, induces changes in the membrane, rendering it more conducive to melittin binding. This, in turn, facilitates further lipid phase separation and eventual vesicle lysis. Overall, our results show that melittin has powerful membrane-altering capabilities that activate PLA in various membrane contexts. More broadly, they exemplify how this biochemical system actively modulates and capitalizes on the spatial distribution of membrane lipids to efficiently achieve its objectives.
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http://dx.doi.org/10.1021/acs.langmuir.3c03920 | DOI Listing |
J Chem Phys
January 2025
Institute of Hydrogen Technology, Helmholtz-Zentrum Hereon, Geesthacht, Germany.
Coherent phase transformations in interstitial solid solutions or intercalation compounds with a miscibility gap are of practical relevance for energy storage materials and specifically for metal hydride or lithium-ion compound nanoparticles. Different conclusions on the size-dependence of the transformation conditions are reached by modeling or theory focusing on the impact of either one (internal, solid-state-) critical-point wetting of the nanoparticle surface or coherency constraints from solute-saturated surface layers. We report a hybrid numerical approach, combining atomistic grand canonical Monte Carlo simulation with a continuum mechanics analysis of coherency stress and modeling simultaneously wetting and mechanical constraints.
View Article and Find Full Text PDFSmall
January 2025
Jiangxi Province Key Laboratory of Functional Crystalline Materials Chemistry, School of Chemistry and Chemical Engineering, Jiangxi University of Science and Technology, 156 Ke Jia Avenue, Ganzhou, 341000, P. R. China.
Incorporating a third component through ternary copolymerization strategy has proven to be a promising and effective approach for further improving the device performance of polymer donors. However, terpolymer donors typically exhibit negative effects on molecular stacking and weaken charge transport due to the irregular distribution of the polymer skeleton. Herein, two terpolymers PBBQ-5 (5% ff-Qx) and PBBQ-10 (10% ff-Qx) are developed by introducing the difluoro-2-(3-hexyldecyloxy) quinoxaline (ff-Qx) to the main chain of PM6.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China.
As a leading candidate for high-voltage, cobalt-free cathodes, spinel LiNiMnO (LNMO) oxide is highly attractive for next-generation lithium-ion batteries. However, the instability of cation-oxygen bonds (especially Mn-O) and the adverse two-phase transition of LNMO result in rapid crystal collapse during cycling, thus limiting its practical deployment. To address these issues, herein we exploit the differences in miscibility between dopants and the spinel matrix to embed high-entropy doped microregions (HEDRs, 5-15 nm in size) within the spinel.
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou, 510006, China.
The combination of data science and materials informatics has significantly propelled the advancement of multi-component compound synthesis research. This study employs atomic-level data to predict miscibility in binary compounds using machine learning, demonstrating the feasibility of such predictions. We have integrated experimental data from the Materials Project (MP) database and the Inorganic Crystal Structure Database (ICSD), covering 2346 binary systems.
View Article and Find Full Text PDFAdv Mater
December 2024
Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids and State Key Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
Highly efficient nonfullerene acceptors (NFAs) for organic solar cells (OSCs) with low energy loss (E) and favorable morphology are critical for breaking the efficiency bottleneck and achieving commercial applications of OSCs. In this work, quinoxaline-based NFAs are designed and synthesized using a synergistic isomerization and bromination approach. The π-expanded quinoxaline-fused core exhibits different bromination sites for isomeric NFAs, namely AQx-21 and AQx-22.
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