Binding partners for the COOH-terminal appendage domains of the GGAs and gamma-adaptin

The adaptor appendage domains are believed to act as binding platforms for coated vesicle accessory proteins. Using glutathione S-transferase pulldowns from pig brain cytosol, we find three proteins that can bind to the appendage domains of both the AP-1 gamma subunit and the GGAs: gamma-synergin and two novel proteins, p56 and p200. p56 elicited better antibodies than p200 and was generally more tractable. Although p56 and gamma-synergin bind to both GGA and gamma appendages in vitro, immunofluorescence labeling of nocodazole-treated cells shows that p56 colocalizes with GGAs on TGN46-positive membranes, whereas gamma-synergin colocalizes with AP-1 primarily on a different membrane compartment. Furthermore, in AP-1-deficient cells, p56 remains membrane-associated whereas gamma-synergin becomes cytosolic. Thus, p56 and gamma-synergin show very strong preferences for GGAs and AP-1, respectively, in vivo. However, the GGA and gamma appendages share the same fold as determined by x-ray crystallography, and mutagenesis reveals that the same amino acids contribute to their binding sites. By overexpressing wild-type GGA and gamma appendage domains in cells, we can drive p56 and gamma-synergin, respectively, into the cytosol, suggesting a possible mechanism for selectively disrupting the two pathways.     

COMT polymorphism modulates the resting‐state EEG alpha oscillatory response to acute nicotine in male non‐smokers

Performance improvements in cognitive tasks requiring executive functions are evident with nicotinic acetylcholine receptor (nAChR) agonists, and activation of the underlying neural circuitry supporting these cognitive effects is thought to involve dopamine neurotransmission. As individual difference in response to nicotine may be related to a functional polymorphism in the gene encoding catechol‐O‐methyltransferase (COMT), an enzyme that strongly influences cortical dopamine metabolism, this study examined the modulatory effects of the COMT Val158Met polymorphism on the neural response to acute nicotine as measured with resting‐state electroencephalographic (EEG) oscillations. In a sample of 62 healthy non‐smoking adult males, a single dose (6 mg) of nicotine gum administered in a randomized, double‐blind, placebo‐controlled design was shown to affect α oscillatory activity, increasing power of upper α oscillations in frontocentral regions of Met/Met homozygotes and in parietal/occipital regions of Val/Met heterozygotes. Peak α frequency was also found to be faster with nicotine (vs. placebo) treatment in Val/Met heterozygotes, who exhibited a slower α frequency compared to Val/Val homozygotes. The data tentatively suggest that interindividual differences in brain α oscillations and their response to nicotinic agonist treatment are influenced by genetic mechanisms involving COMT.     

Shotgun proteomic analysis of the unicellular alga Ostreococcus tauri

Ostreococcus tauri is a unicellular green alga and amongst the smallest and simplest free-living eukaryotes. The O. tauri genome sequence was determined in 2006. Molecular, physiological and taxonomic data that has been generated since then highlight its potential as a simple model species for algae and plants. However, its proteome remains largely unexplored. This paper describes the global proteomic study of O. tauri, using mass spectrometry-based approaches: phosphopeptide enrichment, cellular fractionation, label-free quantification and (15)N metabolic labeling. The O. tauri proteome was analyzed under the following conditions: sampling at different times during the circadian cycle, after 24h of illumination, after 24h of darkness and under various nitrogen source supply levels. Cell cycle related proteins such as dynamin and kinesin were significantly up-regulated during the daylight-to-darkness transition. This is reflected by their higher intensity at ZT13 and this transition phase coincides with the end of mitosis. Proteins involved in several metabolic mechanisms were found to be up-regulated under low nitrogen conditions, including carbon storage pathways, glycolysis, phosphate transport, and the synthesis of inorganic polyphosphates. Ostreococcus tauri responds to low nitrogen conditions by reducing its nitrogen assimilation machinery which suggests an atypical adaptation mechanism for coping with a nutrient-limited environment.     

A suite of photoreceptors entrains the plant circadian clock

Circadian rhythms in plants are relatively robust, as they are maintained both in constant light of high fluence rates and in darkness. Plant circadian clocks exhibit the expected modes of photoentrainment, including period modulation by ambient light and phase resetting by brief light pulses. Several of the phytochrome and cryptochrome photoreceptors responsible have been studied in detail. This review concentrates on the resulting patterns of entrainment and on the multiple proposed mechanisms of light input to the circadian oscillator components.     

Combining experimental and predicted datasets for determination of the subcellular location of proteins in Arabidopsis

Substantial experimental datasets defining the subcellular location of Arabidopsis (Arabidopsis thaliana) proteins have been reported in the literature in the form of organelle proteomes built from mass spectrometry data (approximately 2,500 proteins). Subcellular location for specific proteins has also been published based on imaging of chimeric fluorescent fusion proteins in intact cells (approximately 900 proteins). Further, the more diverse history of biochemical determination of subcellular location is stored in the entries of the Swiss-Prot database for the products of many Arabidopsis genes (approximately 1,800 proteins). Combined with the range of bioinformatic targeting prediction tools and comparative genomic analysis, these experimental datasets provide a powerful basis for defining the final location of proteins within the wide variety of subcellular structures present inside Arabidopsis cells. We have analyzed these published experimental and prediction data to answer a range of substantial questions facing researchers about the veracity of these approaches to determining protein location and their interrelatedness. We have merged these data to form the subcellular location database for Arabidopsis proteins (SUBA), providing an integrated understanding of protein location, encompassing the plastid, mitochondrion, peroxisome, nucleus, plasma membrane, endoplasmic reticulum, vacuole, Golgi, cytoskeleton structures, and cytosol (www.suba.bcs.uwa.edu.au). This includes data on more than 4,400 nonredundant Arabidopsis protein sequences. We also provide researchers with an online resource that may be used to query protein sets or protein families and determine whether predicted or experimental location data exist; to analyze the nature of contamination between published proteome sets; and/or for building theoretical subcellular proteomes in Arabidopsis using the latest experimental data.     

Occurrence and molecular genotyping of Cryptosporidium spp. in surface waters in Northern Ireland

AIMS: To investigate the incidence and genotype of Cryptosporidium parvum oocysts in drinking water sources in Northern Ireland for the period 1996-1999, and to compare conventional and molecular methods of detection. METHODS AND RESULTS: Four hundred and seventy-four waters were investigated by conventional methods, namely immuno-fluorescent antibody detection (IFA; 380) and immuno-magnetic separation-IFA (IMS-IFA; 94), of which 14/474 (3%) were positive. Two hundred and fourteen samples (214/474) were also investigated by PCR techniques, targeting both the 18S rRNA and TRAP-C2 genes, of which 11/214 (5.1%) were positive. These 11 samples were classified as genotype II following sequence analysis of the TRAP-C2 amplicon. CONCLUSIONS: This study demonstrated the low incidence of oocysts of C. parvum in water sources in Northern Ireland. SIGNIFICANCE AND IMPACT OF THE STUDY: Such molecular-based techniques offer a number of advantages over conventional detection methodologies, namely greater sensitivity and specificity as well as the ability to provide accurate genotyping data rapidly, which may be valuable in directing operational management in potential outbreak situations.