Determining the precise spatial extent of expression of genes across different tissues, along with knowledge of the biochemical function of the genes is critical for understanding the roles of various genes in the development of metazoan organisms. To address this problem, we have developed high-throughput methods for generating images of gene expression in Drosophila melanogaster imaginal discs and for the automated analysis of these images. Our method automatically learns tissue shapes from a small number of manually segmented training examples and automatically aligns, extracts and scores new images, which are analyzed to generate gene expression maps for each gene. We have developed a reverse lookup procedure that enables us to identify genes that have spatial expression patterns most similar to a given gene of interest. Our methods enable us to cluster both the genes and the pixels that of the maps, thereby identifying sets of genes that have similar patterns, and regions of the tissues of interest that have similar gene expression profiles across a large number of genes.

Sulfolobus solfataricus metabolizes the five-carbon sugar d-arabinose to 2-oxoglutarate by an inducible pathway consisting of dehydrogenases and dehydratases. Here we report the crystal structure and biochemical properties of the first enzyme of this pathway: the d-arabinose dehydrogenase. The AraDH structure was solved to a resolution of 1.80 A by single-wavelength anomalous diffraction and phased using the two endogenous zinc ions per subunit. The structure revealed a catalytic and cofactor binding domain, typically present in mesophilic and thermophilic alcohol dehydrogenases. Cofactor modeling showed the presence of a phosphate binding pocket sequence motif (SRS-X2-H), which is likely to be responsible for the enzyme’s preference for NADP+. The homo-tetrameric enzyme is specific for d-arabinose, l-fucose, l-galactose and d-ribose, which could be explained by the hydrogen bonding patterns of the C3 and C4 hydroxyl groups observed in substrate docking simulations. The enzyme optimally converts sugars at pH 8.2 and 91 degrees C, and displays a half-life of 42 and 26 min at 85 and 90 degrees C, respectively, indicating that the enzyme is thermostable at physiological operating temperatures of 80 degrees C. The structure represents the first crystal structure of an NADP+-dependent member of the medium-chain dehydrogenase/reductase (MDR) superfamily from Archaea.

Cells tightly regulate their contents. Still, nonspecific Coulombic interactions between cationic molecules and anionic membrane components can lead to adventitious endocytosis. Here, we characterize this process in a natural system. To do so, we create variants of human pancreatic ribonuclease (RNase 1) that differ in net molecular charge. By conjugating a small-molecule latent fluorophore to these variants and using flow cytometry, we are able to determine the kinetic mechanism for RNase 1 internalization into live human cells. We find that internalization increases with solution concentration and is not saturable. Internalization also increases with time to a steady-state level, which varies linearly with molecular charge. In contrast, the rate constant for internalization (t1/2 = 2 h) is independent of charge. We conclude that internalization involves an extracellular equilibrium complex between the cationic proteins and abundant anionic cell-surface molecules, followed by rate-limiting internalization. The enhanced internalization of more cationic variants of RNase 1 is, however, countered by their increased affinity for the cytosolic ribonuclease inhibitor protein, which is anionic. Thus, Coulombic forces mediate extracellular and intracellular equilibria in a dichotomous manner that both endangers cells and defends them from the potentially lethal enzymatic activity of ribonucleases.

This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Correcting Output Coding (ECOC), which uses a code matrix to decompose a multi-class problem into multiple binary problems. ECOC for multi-class classification hinges on the design of the code matrix. We propose to explore the distribution of data classes and optimize both the composition and the number of base learners to design an effective and compact code matrix. Two real world applications are studied: (1) the holistic recognition (i.e., recognition without segmentation) of touching handwritten numeral pairs and (2) the classification of cancer tissue types based on microarray gene expression data. The results show that the proposed DECOC is able to deliver competitive accuracy compared with other ECOC methods, using parsimonious base learners than the pairwise coupling (one-vs-one) decomposition scheme. With a rejection scheme defined by a simple robustness measure, high reliabilities of around 98% are achieved in both applications.

In CA1 pyramidal neurons, burst firing is correlated with hippocampally dependent behaviours and modulation of synaptic strength. One of the mechanisms underlying burst firing in these cells is the afterdepolarization (ADP) that follows each action potential. Previous work has shown that the ADP results from the interaction of several depolarizing and hyperpolarizing conductances located in the soma and the dendrites. By using patch-clamp recordings from acute rat hippocampal slices we show that D-type potassium current modulates the size of the ADP and the bursting of CA1 pyramidal neurons. Sensitivity to alpha-dendrotoxin suggests that Kv1-containing potassium channels mediate this current. Dual somato-dendritic recording, outside-out dendritic recordings, and focal application of dendrotoxin together indicate that the channels mediating this current are located in the apical dendrites. Thus, our data present evidence for a dendritic segregation of Kv1-like channels in CA1 pyramidal neurons and identify a novel action for these channels, showing that they inhibit action potential bursting by restricting the size of the ADP.

The hippocampus is essential for episodic memory, which requires single-trial learning. Although long-term potentiation (LTP) of synaptic strength is a candidate mechanism for learning, it is typically induced by using repeated synaptic activation to produce precisely timed, high-frequency, or rhythmic firing. Here we show that hippocampal synapses potentiate robustly in response to strong activation by a single burst. The induction mechanism of this single-burst LTP requires activation of NMDA receptors, L-type voltage-gated calcium channels, and dendritic spikes. Thus, dendritic spikes are a critical trigger for a form of LTP that is consistent with the function of the hippocampus in episodic memory.

In conventional biological imaging, diffraction places a limit on the minimal xy distance at which two marked objects can be discerned. Consequently, resolution of target molecules within cells is typically coarser by two orders of magnitude than the molecular scale at which the proteins are spatially distributed. Photoactivated localization microscopy (PALM) optically resolves selected subsets of protect fluorescent probes within cells at mean separations of <25 nanometers. It involves serial photoactivation and subsequent photobleaching of numerous sparse subsets of photoactivated fluorescent protein molecules. Individual molecules are localized at near molecular resolution by determining their centers of fluorescent emission via a statistical fit of their point-spread-function. The position information from all subsets is then assembled into a super-resolution image, in which individual fluorescent molecules are isolated at high molecular densities. In this paper, some of the limitations for PALM imaging under current experimental conditions are discussed.

Ca2+ signals associated with action potentials (APs) and metabotropic glutamate receptor (mGluR) activation exert distinct influences on neuronal activity and synaptic plasticity. However, it is not clear how these two types of Ca2+ signals are differentially regulated by neurotransmitter inputs in a single neuron. We investigated this issue in dopaminergic neurons of the ventral midbrain using brain slices. Intracellular Ca2+ was assessed by measuring Ca2+-sensitive K+ currents or imaging the fluorescence of Ca2+ indicator dyes. Tonic activation of metabotropic neurotransmitter receptors (mGluRs, alpha1 adrenergic receptors, and muscarinic acetylcholine receptors), attained by superfusion of agonists or weak, sustained (approximately 1 s) synaptic stimulation, augmented AP-induced Ca2+ transients. In contrast, Ca2+ signals elicited by strong, transient (50-200 ms) activation of mGluRs with aspartate iontophoresis were suppressed by superfusion of agonists. These opposing effects on Ca2+ signals were both mediated by an increase in intracellular inositol 1,4,5-trisphosphate (IP3) levels, because they were blocked by heparin, an IP3 receptor antagonist, and reproduced by photolytic application of IP3. Evoking APs repetitively at low frequency (2 Hz) caused inactivation of IP3 receptors and abolished IP3 facilitation of single AP-induced Ca2+ signals, whereas facilitation of Ca2+ signals triggered by bursts of APs (five at 20 Hz) was attenuated by less than half. We further obtained evidence suggesting that the psychostimulant amphetamine may augment burst-induced Ca2+ signals via both depression of basal firing and production of IP3. We propose that intracellular IP3 tone provides a mechanism to selectively amplify burst-induced Ca2+ signals in dopaminergic neurons.

Pharmacological and genetic studies have implicated the mu opioid receptor (MOR) in the regulation of ethanol intake in animal models and humans. Non-specific antagonists of opioid receptors have been shown to affect ethanol consumption when infused directly into the ventral tegmental area (VTA) of rats. However, administration of MOR-selective antagonists into the VTA has yielded mixed results. We used RNA interference (RNAi) to specifically decrease levels of MOR messenger RNA in the VTA of mice and examined the effect on ethanol consumption in a two-bottle choice paradigm. Mice were injected in the VTA with lentivirus expressing either a small hairpin RNA (shRNA) targeting MOR or a control shRNA. One week after virus injection, mice were examined for ethanol consumption in a two-bottle choice experiment with increasing concentrations of ethanol over the course of 1 month. Expression of an shRNA targeting MOR in the VTA led to a significant reduction in ethanol consumption. These results strengthen the hypothesis that MOR in the VTA is one of the key brain substrates mediating alcohol consumption. The RNAi combined with lentiviral delivery can be used successfully in brain to effect a sustained reduction in expression of specific genes for behavioral analysis.