A Dynamic Corral Model of Receptor Trafficking at a Synapse

The postsynaptic density (PSD) is a cytoskeletal specialization within the postsynaptic membrane of a neuron that helps to concentrate and organize neurotransmitter receptors at a chemical synapse. The total number of receptors within the PSD, which is a major factor in determining the physiological strength or weight of a synapse, fluctuates due to the surface diffusion of receptors into and out of the PSD, and the interactions of receptors with scaffolding proteins and cytoskeletal elements within the PSD. In this article, we present a stochastic model of protein receptor trafficking at the PSD that takes into account these various processes. The PSD is treated as a stochastically gated corral, which contributes a source of extrinsic or environmental noise that supplements the intrinsic noise arising from small receptor numbers. Using a combination of stochastic analysis and Monte Carlo simulations, we determine the time-dependent variation in the mean and variance of synaptic receptor numbers for a variety of initial conditions that simulate fluorescence recovery after photobleaching experiments, and indicate how such data might be used to infer certain properties of the PSD.     

Snapshot prediction of carbon productivity,carbon and protein content in a Southern Ocean diatom using FTIR spectroscopy

Diatoms, an important group of phytoplankton, bloom annually in the Southern Ocean, covering thousands of square kilometers and dominating the region''s phytoplankton communities. In their role as the major food source to marine grazers, diatoms supply carbon, nutrients and energy to the Southern Ocean food web. Prevailing environmental conditions influence diatom phenotypic traits (for example, photophysiology, macromolecular composition and morphology), which in turn affect the transfer of energy, carbon and nutrients to grazers and higher trophic levels, as well as oceanic biogeochemical cycles. The paucity of phenotypic data on Southern Ocean phytoplankton limits our understanding of the ecosystem and how it may respond to future environmental change. Here we used a novel approach to create a ‘snapshot'' of cell phenotype. Using mass spectrometry, we measured nitrogen (a proxy for protein), total carbon and carbon-13 enrichment (carbon productivity), then used this data to build spectroscopy-based predictive models. The models were used to provide phenotypic data for samples from a third sample set. Importantly, this approach enabled the first ever rate determination of carbon productivity from a single time point, circumventing the need for time-series measurements. This study showed that Chaetoceros simplex was less productive and had lower protein and carbon content during short-term periods of high salinity. Applying this new phenomics approach to natural phytoplankton samples could provide valuable insight into understanding phytoplankton productivity and function in the marine system.     

Characterisation of RNA fragments obtained by mild nuclease digestion of 30-S ribosomal subunits from Escherichia coli.

When Escherichia coli 30-S ribosomal subunits are hydrolysed under mild conditions, two ribonucleoprotein fragments of unequal size are produced. Knowledge of the RNA sequences contained in these hydrolysis products was required for the experiments described in the preceding paper, and the RNA sub-fragments have therefore been examined by oligonucleotide analysis. Two well-defined small fragments of free RNA, produced concomitantly with the ribonucleoprotein fragments, were also analysed. The larger ribonucleoprotein fragment, containing predominantly proteins S4, S5, S8, S15, S16 (17) and S20, contains a complex mixture of RNA sub-fragments varying from about 100 to 800 nucleotides in length. All these fragments arose from the 5'-terminal 900 nucleotides of 16-S RNA, corresponding to the well-known 12-S fragment. No long-range interactions could be detected within this RNA region in these experiments. The RNA from the smaller ribonucleoprotein fragment (containing proteins S7, S9 S10, S14 and S19) has been described in detail previously, and consists of about 450 nucleotides near the 3' end of the 16-S RNA, but lacking the 3'-terminal 150 nucleotides. The two small free RNA fragments (above) partly account for these missing 150 nucleotides; both fragments arose from section A of the 16-S RNA, but section J (the 3'-terminal 50 nucleotides) was not found. This result suggests that the 3' region of 16-S RNA is not involved in stable interactions with protein.     

Decrease in stability of human albumin with increase in protein concentration

The stability (reflected in denaturation temperature, Td) of defatted human albumin monomer, monitored by differential scanning calorimetry, decreases with increasing protein concentration. This is shown to be compatible with a simple model in which reversible polymerization of denatured monomer promotes unfolding. This model also predicts an increase in transition cooperativity with decreasing protein concentration whereas experimentally cooperativity decreases because the rate of thermally induced polymerization of unfolded monomer is slow relative to the scan rate of the calorimeter. The denaturation of undefatted human albumin monomer, subsaturated with high affinity endogenous long-chain fatty acid (LCFA), was previously observed by differential scanning calorimetry to be a biphasic process. Td for the first endotherm, associated with the denaturation of LCFA-poor species, decreases with increasing protein concentration similar to that for defatted monomer whereas Td for the second endotherm, associated with denaturation of LCFA-rich species, is independent of concentration. The magnitude of the concentration dependence of Td relates directly to the extent of polymerization of denatured monomer, which decreases with increasing level of bound ligand. The bimodal thermogram observed for undefatted monomer persists upon simultaneous extrapolation of Td values to low concentration and low scan rate thereby demonstrating that this biphasic denaturation arising from ligand redistribution during denaturation is a true thermodynamic phenomenon and not an artifact of specific experimental conditions or the method used to induce denaturation.     

CHANGE OF ACID AGGLUTINATION OPTIMUM AS INDEX OF BACTERIAL MUTATION

A distinct difference in acid agglutination optimum for Type D (bacillus of rabbit septicemia) and its mutant form, Type G, has been observed. The optimum for Type D lies between pH 3.5 and pH 3.0. This changes during mutation, the resulting Type G mutants having in general an optimum lying between pH 4.7 and pH 3.8. The constancy of the optimum for Type D is very strict, while that for Type G is slightly less so. The variation is never so great as to cause an overlapping of optima and consequent failure of differentiation. These acid agglutination optima are in the nature of physical constants for the two types and would imply a fundamental difference in the chemical constitution of the organisms. Animal passage, far from causing a reversion of the mutant Type G to the primordial Type D form, brings about a still greater instability in the presence of H ions.