Application of capillary electrophoresis-electrospray ionization mass spectometry in the determination of molecular diversity.

By means of capillary electrophoresis coupled online to electrospray ionization MS, a library of theoretically 171 disubstituted xanthene derivatives was analyzed. The method allowed the purity and makeup of the library to be determined: 160 of the expected compounds were found to be present, and 12 side-products were also detected in the mixture. Due to the ability of capillary electrophoresis to separate analytes on the basis of charge, most of the xanthene derivatives could be resolved by simple capillary electrophoresis-MS procedures even though 124 of the 171 theoretical compounds were isobaric with at least one other molecule in the mixture. Any remaining unresolved peaks were resolved by MS/MS experiments. The method shows promise for the analysis of small combinatorial libraries with fewer than 1000 components.

DNA sequencing by delayed extraction-matrix-assisted laser desorption/ionization time of flight mass spectrometry.

Matrix-assisted laser desorption/ionization (MALDI) time of flight mass spectrometry was used to detect and order DNA fragments generated by Sanger dideoxy cycle sequencing. This was accomplished by improving the sensitivity and resolution of the MALDI method using a delayed ion extraction technique (DE-MALDI). The cycle sequencing chemistry was optimized to produce as much as 100 fmol of each specific dideoxy terminated fragment, generated from extension of a 13-base primer annealed on 40- and 50-base templates. Analysis of the resultant sequencing mixture by DE-MALDI identified the appropriate termination products. The technique provides a new non-gel-based method to sequence DNA which may ultimately have considerable speed advantages over traditional methodologies.

Low ethanol concentrations enhance GABAergic inhibitory postsynaptic potentials in hippocampal pyramidal neurons only after block of GABAB receptors.

Despite considerable evidence that ethanol can enhance chloride flux through the gamma-aminobutyric acid type A (GABA/A/) receptor-channel complex in several central neuron types, the effect of ethanol on hippocampal GABAergic systems is still controversial. Therefore, we have reevaluated this interaction in hippocampal pyramidal neurons subjected to local monosynaptic activation combined with pharmacological isolation of the various components of excitatory and inhibitory synaptic potentials, using intracellular current- and voltage-clamp recording methods in the hippocampal slice. In accord with our previous findings, we found that ethanol had little effect on compound inhibitory postsynaptic potentials/currents (IPSP/Cs) containing both GABA/A/ and GABA/B/ components. However, after selective pharmacological blockade of the GABA/B/ component of the IPSP (GABA/B/-IPSP/C) by CGP-35348, low concentrations of ethanol (22-66 mM) markedly enhanced the peak amplitude, and especially the area, of the GABA/A/ component (GABA/A/-IPSP/C) in most CA1 pyramidal neurons. Ethanol had no significant effect on the peak amplitude or area of the pharmacologically isolated GABA/B/-inhibitory postsynaptic current (IPSC). These results provide new data showing that activation of GABAB receptors can obscure ethanol enhancement of GABA/A/ receptor function in hippocampus and suggest that similar methods of pharmacological isolation might be applied to other brain regions showing negative or mixed ethanol-GABA interactions.

Rapid local synchronization of action potentials: toward computation with coupled integrate-and-fire neurons.

The collective behavior of interconnected spiking nerve cells is investigated. It is shown that a variety of model systems exhibit the same short-time behavior and rapidly converge to (approximately) periodic firing patterns with locally synchronized action potentials. The dynamics of one model can be described by a downhill motion on an abstract energy landscape. Since an energy landscape makes it possible to understand and program computation done by an attractor network, the results will extend our understanding of collective computation from models based on a firing-rate description to biologically more realistic systems with integrate-and-fire neurons.