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Susanne Schreiber

Publications and source records attributed to Susanne Schreiber.

2 recordsLinked to original sources

Transbilayer movement of phospholipids at the main phase transition of lipid membranes: implications for rapid flip-flop in biological membranes.

The transbilayer movement of fluorescent phospholipid analogs in liposomes was studied at the lipid phase transition of phospholipid membranes. Two NBD-labeled analogs were used, one bearing the fluorescent moiety at a short fatty acid chain in the sn-2 position (C(6)-NBD-PC) and one headgroup-labeled analog having two long fatty acyl chains (N-NBD-PE). The transbilayer redistribution of the analogs was assessed by a dithionite-based assay. We observed a drastic increase of the transbilayer movement of both analogs at the lipid phase transition of DPPC (T(c) = 41 degrees C) and DMPC (T(c) = 23 degrees C). The flip-flop of analogs was fast at the T(c) of DPPC with a half-time (t(1/2)) of ~6-10 min and even faster at the T(c) of DMPC with t(1/2) on the order of <2 min, as shown for C(6)-NBD-PC. Suppressing the phase transition by the addition of cholesterol, the rapid transbilayer movement was abolished. Molecular packing defects at the phase transition are assumed to be responsible for the rapid transbilayer movement. The relevance of those defects for understanding of the activity of flippases is discussed.

1,2-Dipalmitoylphosphatidylcholine↗

Energy-efficient coding with discrete stochastic events.

We investigate the energy efficiency of signaling mechanisms that transfer information by means of discrete stochastic events, such as the opening or closing of an ion channel. Using a simple model for the generation of graded electrical signals by sodium and potassium channels, we find optimum numbers of channels that maximize energy efficiency. The optima depend on several factors: the relative magnitudes of the signaling cost (current flow through channels), the fixed cost of maintaining the system, the reliability of the input, additional sources of noise, and the relative costs of upstream and downstream mechanisms. We also analyze how the statistics of input signals influence energy efficiency. We find that energy-efficient signal ensembles favor a bimodal distribution of channel activations and contain only a very small fraction of large inputs when energy is scarce. We conclude that when energy use is a significant constraint, trade-offs between information transfer and energy can strongly influence the number of signaling molecules and synapses used by neurons and the manner in which these mechanisms represent information.

Animals↗