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Sidney A Simon

Publications and source records attributed to Sidney A Simon.

3 recordsLinked to original sources

Sorting of lipids and transmembrane peptides between detergent-soluble bilayers and detergent-resistant rafts.

Specific proteins and lipids sequester to regions of cell membranes called rafts. Due to their high content of sphingomyelin (SM) and cholesterol, raft bilayers are thicker than nonraft bilayers and, at least at 4 degrees C, are resistant to Triton X-100 extraction. It has been postulated that rafts concentrate proteins with long transbilayer domains because of "hydrophobic matching" between the transbilayer domain and the thick bilayer hydrocarbon region. However, because the area compressibility and bending moduli of SM:cholesterol bilayers are larger than that of nonraft bilayers, there should be an energy cost to partition proteins or peptides into rafts. To determine the effects on peptide sorting of raft thickness and mechanical properties, we incorporated two transbilayer peptides (P-23, P-29) into bilayers composed of SM, dioleoylphosphatidylcholine, and cholesterol, separated detergent-soluble membranes (DSMs) from detergent-resistant membranes (DRMs), and measured their peptide and lipid compositions. P-23 and P-29 were designed to have transbilayer domains that matched the hydrocarbon thicknesses of DSMs and DRMs, respectively. At both 4 degrees C and 37 degrees C DSMs were enriched in dioleoylphosphatidylcholine and DRMs were enriched in SM and cholesterol. At both temperatures both P-23 and P-29 preferentially localized to DSMs, demonstrating the importance of bilayer mechanical properties relative to hydrophobic mismatch. However, at 37 degrees C significantly more P-29 than P-23 was located in DRMs, implying that hydrophobic matching played a role in peptide sorting at physiological temperature. These experiments demonstrate that the sorting of peptides as measured by detergent extraction is temperature-dependent and both bilayer mechanical properties and hydrophobic matching impact peptide distribution between DSMs and DRMs.

Animals↗

Bilayer interfacial properties modulate the binding of amphipathic peptides.

The free energy of transfer (DeltaG degrees ) from water to lipid bilayers was measured for two amphipathic peptides, the presequence of the mitochondrial peptide rhodanese (MPR) and melittin. Experiments were designed to determine the effects on peptide partitioning of the addition of lipids that produce structural modifications to the bilayer/water interface. In particular, the addition of cholesterol or the cholesterol analog 6-ketocholestanol increases the bilayer area compressibility modulus, indicating that these molecules modify lipid-lipid interactions in the plane of the bilayer. The addition of 6-ketocholestanol or lipids with attached polyethylene glycol chains (PEG-lipids) modify the effective thickness of the interfacial region; 6-ketocholestanol increases the width of hydrophilic headgroup region in the direction of the acyl chains whereas the protruding PEG chains of PEG-lipids increase the structural width of the headgroup region into the surrounding aqueous phase. The incorporation of PEG-lipids with PEG molecular weights of 2000 or 5000 had no appreciable effect on peptide partitioning that could not be accounted for by the presence of surface charge. However, for both MPR and melittin DeltaG degrees decreased linearly with increasing bilayer compressibility modulus, demonstrating the importance of bilayer mechanical properties in the binding of amphipathic peptides.

Cholesterol↗

Gustatory processing is dynamic and distributed.

The process of gustatory coding consists of neural responses that provide information about the quantity and quality of food, its generalized sensation, its hedonic value, and whether it should be swallowed. Many of the models presently used to analyze gustatory signals are static in that they use the average neural firing rate as a measure of activity and are unimodal in the sense they are thought to only involve chemosensory information. We have recently elaborated upon a dynamic model of gustatory coding that involves interactions between neurons in single as well as in spatially separate, gustatory and somatosensory regions. We propose that the specifics of gustatory responses grow not only out of information ascending from taste receptor cells, but also from the cycling of information around a massively interconnected system.

Action Potentials↗