Pierre-Yves Bolinger

How curved membranes recruit amphipathic helices and protein anchoring motifs

Lipids and several specialized proteins are thought to be able to sense the curvature of membranes (MC). Here we used quantitative fluorescence microscopy to measure curvature-selective binding of amphipathic motifs on single liposomes 50-700 nm in diameter. Our results revealed that sensing is predominantly mediated by a higher density of binding sites on curved membranes instead of higher affinity. We proposed a model based on curvature-induced defects in lipid packing that related these findings to lipid sorting and accurately predicted the existence of a new ubiquitous class of curvature sensors: membrane-anchored proteins. The fact that unrelated structural motifs such as alpha-helices and alkyl chains sense MC led us to propose that MC sensing is a generic property of curved membranes rather than a property of the anchoring molecules. We therefore anticipate that MC will promote the redistribution of proteins that are anchored in membranes through other types of hydrophobic moieties.

Amphipathic motifs in BAR domains are essential for membrane curvature sensing

BAR (Bin/Amphiphysin/Rvs) domains and amphipathic α‐helices (AHs) are believed to be sensors of membrane curvature thus facilitating the assembly of protein complexes on curved membranes. Here, we used quantitative fluorescence microscopy to compare the binding of both motifs on single nanosized liposomes of different diameters and therefore membrane curvature. Characterization of members of the three BAR domain families showed surprisingly that the crescent‐shaped BAR dimer with its positively charged concave face is not able to sense membrane curvature. Mutagenesis on BAR domains showed that membrane curvature sensing critically depends on the N‐terminal AH and furthermore that BAR domains sense membrane curvature through hydrophobic insertion in lipid packing defects and not through electrostatics. Consequently, amphipathic motifs, such as AHs, that are often associated with BAR domains emerge as an important means for a protein to sense membrane curvature. Measurements on single liposomes allowed us to document heterogeneous binding behaviour within the ensemble and quantify the influence of liposome polydispersity on bulk membrane curvature sensing experiments. The latter results suggest that bulk liposome‐binding experiments should be interpreted with great caution.

An Integrated Self-Assembled Nanofluidic System for Controlled Biological Chemistries†

Reference EPFL-ARTICLE-148631doi:10.1002/anie.200801606View record in Web of Science Record created on 2010-04-30, modified on 2017-05-12

Encapsulation Efficiency Measured on Single Small Unilamellar Vesicles

In this communication we present a fluorescent based method to measure the encapsulation efficiency in single small unilamellar vesicles. The single small unilamellar vesicles are loaded with a dye in the membrane and a dye in the lumen. They are immobilized on a surface and then imaged with a fluorescent microscope. The dye in the membrane is used to determine the vesicle size, and the lumen dye is used to determine the absolute amount of encapsulant. The correlation of the two signals allows us to calculate the encapsulation efficiency in a single vesicle as a function of size. We discovered that the encapsulation efficiency is inversely proportional to the vesicle radius and that a significant number of vesicles are empty. Both observations would be averaged out in bulk experiments. They pertain for vesicles prepared through the rehydration technique but may be relevant for other formulations as well.

Mixing subattolitre volumes in a quantitative and highly parallel manner with soft matter nanofluidics

Handling and mixing ultrasmall volumes of reactants in parallel can increase the throughput and complexity of screening assays while simultaneously reducing reagent consumption. Microfabricated silicon and plastic can provide reliable fluidic devices, but cannot typically handle total volumes smaller than ∼1 × 10(-12) l. Self-assembled soft matter nanocontainers can in principle significantly improve miniaturization and biocompatibility, but exploiting their full potential is a challenge due to their small dimensions. Here, we show that small unilamellar lipid vesicles can be used to mix volumes as small as 1 × 10(-19) l in a reproducible and highly parallelized fashion. The self-enclosed nanoreactors are functionalized with lipids of opposite charge to achieve reliable fusion. Single vesicles encapsulating one set of reactants are immobilized on a glass surface and then fused with diffusing vesicles of opposite charge that carry a complementary set of reactants. We find that ∼85% of the ∼1 × 10(6) cm(-2) surface-tethered nanoreactors undergo non-deterministic fusion, which is leakage-free in all cases, and the system allows up to three to four consecutive mixing events per nanoreactor.

Single Enzyme Studies Reveal the Existence of Discrete Functional States for Monomeric Enzymes and How They Are “Selected” upon Allosteric Regulation

Allosteric regulation of enzymatic activity forms the basis for controlling a plethora of vital cellular processes. While the mechanism underlying regulation of multimeric enzymes is generally well understood and proposed to primarily operate via conformational selection, the mechanism underlying allosteric regulation of monomeric enzymes is poorly understood. Here we monitored for the first time allosteric regulation of enzymatic activity at the single molecule level. We measured single stochastic catalytic turnovers of a monomeric metabolic enzyme (Thermomyces lanuginosus Lipase) while titrating its proximity to a lipid membrane that acts as an allosteric effector. The single molecule measurements revealed the existence of discrete binary functional states that could not be identified in macroscopic measurements due to ensemble averaging. The discrete functional states correlate with the enzymes major conformational states and are redistributed in the presence of the regulatory effector. Thus, our data support allosteric regulation of monomeric enzymes to operate via selection of preexisting functional states and not via induction of new ones.