Soluble NSF attachment protein receptor molecular mimicry by a Legionella pneumophila Dot/Icm effector

Upon infection, Legionella pneumophila uses the Dot/Icm type IV secretion system to translocate effector proteins from the Legionella‐containing vacuole (LCV) into the host cell cytoplasm. The effectors target a wide array of host cellular processes that aid LCV biogenesis, including the manipulation of membrane trafficking. In this study, we used a hidden Markov model screen to identify two novel, non‐eukaryotic s oluble N SF a ttachment protein re ceptor (SNARE) homologs: the bacterial Legionella SNARE effector A (LseA) and viral SNARE homolog A proteins. We characterized LseA as a Dot/Icm effector of L. pneumophila, which has close homology to the Qc‐SNARE subfamily. The lseA gene was present in multiple sequenced L. pneumophila strains including Corby and was well distributed among L. pneumophila clinical and environmental isolates. Employing a variety of biochemical, cell biological and microbiological techniques, we found that farnesylated LseA localized to membranes associated with the Golgi complex in mammalian cells and LseA interacted with a subset of Qa‐, Qb‐ and R‐SNAREs in host cells. Our results suggested that LseA acts as a SNARE protein and has the potential to regulate or mediate membrane fusion events in Golgi‐associated pathways.     

The golgin GCC88 is required for efficient retrograde transport of cargo from the early endosomes to the trans-Golgi network

Retrograde transport pathways from early/recycling endosomes to the trans-Golgi network (TGN) are poorly defined. We have investigated the role of TGN golgins in retrograde trafficking. Of the four TGN golgins, p230/golgin-245, golgin-97, GCC185, and GCC88, we show that GCC88 defines a retrograde transport pathway from early endosomes to the TGN. Depletion of GCC88 in HeLa cells by interference RNA resulted in a block in plasma membrane-TGN recycling of two cargo proteins, TGN38 and a CD8 mannose-6-phosphate receptor cytoplasmic tail fusion protein. In GCC88-depleted cells, cargo recycling was blocked in the early endosome. Depletion of GCC88 dramatically altered the TGN localization of the t-SNARE syntaxin 6, a syntaxin required for endosome to TGN transport. Furthermore, the transport block in GCC88-depleted cells was rescued by syntaxin 6 overexpression. Internalized Shiga toxin was efficiently transported from endosomes to the Golgi of GCC88-depleted cells, indicating that Shiga toxin and TGN38 are internalized by distinct retrograde transport pathways. These findings have identified an essential role for GCC88 in the localization of TGN fusion machinery for transport from early endosomes to the TGN, and they have allowed the identification of a retrograde pathway which differentially selects TGN38 and mannose-6-phosphate receptor from Shiga toxin.     

Spatial gene expression in the T-stage mouse metanephros

The E11.5 mouse metanephros is comprised of a T-stage ureteric epithelial tubule sub-divided into tip and trunk cells surrounded by metanephric mesenchyme (MM). Tip cells are induced to undergo branching morphogenesis by the MM. In contrast, signals within the mesenchyme surrounding the trunk prevent ectopic branching of this region. In order to identify novel genes involved in the molecular regulation of branching morphogenesis we compared the gene expression profiles of isolated tip, trunk and MM cells using Compugen mouse long oligo microarrays. We identified genes enriched in the tip epithelium, sim-1, Arg2, Tacstd1, Crlf-1 and BMP7; genes enriched in the trunk epithelium, Innp1, Itm2b, Mkrn1, SPARC, Emu2 and Gsta3 and genes spatially restricted to the mesenchyme surrounding the trunk, CSPG2 and CV-2, with overlapping and complimentary expression to BMP4, respectively. This study has identified genes spatially expressed in regions of the developing kidney involved in branching morphogenesis, nephrogenesis and the development of the collecting duct system, calyces, renal pelvis and ureter.     

Interkingdom signaling by structurally related cyanobacterial and algal secondary metabolites

Several groups of structurally-related compounds, comprised of either five or six-membered ring structures with attached lipophilic carbon chains and in some cases possessing halogen atoms, have been isolated from various marine algae and filamentous cyanobacteria. The related compounds considered in the present work include the coibacins, laurenciones, honaucins, malyngamides and the tumonoic acids. Members of all of these compound families were assayed and found to inhibit the production of nitric oxide in lipopolysaccharides-stimulated macrophages, indicating their anti-inflammatory potential. In addition, several of these same marine natural products were found to inhibit quorum sensing mediated phenotypes in Vibrio harveyi BB120 and/or Escherichia coli JB525. The mechanism and evolutionary significance for inhibition of these cellular processes in prokaryotic and eukaryotic systems are speculated on and discussed.     

The Effect of Sediment Type and pH-Adjustment on the Porewater Chemistry of Copper- and Zinc-Spiked Sediments

The spiking of metals into sediments lowers pH, raises the oxidative state, and exacerbates the partitioning of Fe, Mn, and spiked metal to the porewater. This study reports the geochemical response of three sediments of varying metal-binding capacity to Cu-/Zn-additions and the influence of pH-adjustment on the major metal-partitioning processes. The increase in redox potential and porewater metal concentrations observed in metal-spiked sediment was minimized by sediment neutralization to pH 7 irrespective of sediment type. In the presence of minimal sulfide concentrations, porewater metal concentrations suggested a greater affinity of copper for organic carbon than zinc, which was thought more dependent on iron oxyhydroxide phases. The amount of iron in the porewater of metal-spiked pH adjusted sediment was, in turn, affected by the type and concentration of spiked metal in the porewater. Increasing porewater concentrations of copper and zinc corresponded to decreasing and increasing porewater iron concentrations, respectively. Porewater copper appeared to act as a toxicant of Fe(III) reducing bacteria, while porewater zinc is thought to have had a stimulatory effect. The present study provides further insight on geochemical changes occurring to metal-spiked sediments and their implications for the interpretation of toxicity tests.     

Intelligence and educational level in adult males at the extremes of stature

Stature and intellectual ability are commonly found to correlate positively (r approximately 0.2). In this study we have assessed whether this relationship holds true at the extremes of stature in adults. From a representative study population of 76,111 young Danish men, we defined an extremely short group as those below the 2d percentile (less than or equal to 163 cm) and an extremely tall group as those above the 98th percentile (greater than or equal to 191 cm). The short group had intelligence test scores and educational levels lying at approximately two-thirds of a standard deviation below the overall means. The tall group had means lying approximately one-half standard deviation above the overall means. These deviations are to a large degree in agreement with the observed overall correlations of height with intelligence test scores (r = 0.244) and with educational level (r = 0.264). Both groups, however, appear to score somewhat below the levels expected from a purely linear relationship. For the short group there appear to be local factors that are particularly detrimental to intellectual ability. For the tall group corresponding local factors are relatively independent of intellectual ability.     

Fast automated cell phenotype image classification

Background  

The genomic revolution has led to rapid growth in sequencing of genes and proteins, and attention is now turning to the function of the encoded proteins. In this respect, microscope imaging of a protein's sub-cellular localisation is proving invaluable, and recent advances in automated fluorescent microscopy allow protein localisations to be imaged in high throughput. Hence there is a need for large scale automated computational techniques to efficiently quantify, distinguish and classify sub-cellular images. While image statistics have proved highly successful in distinguishing localisation, commonly used measures suffer from being relatively slow to compute, and often require cells to be individually selected from experimental images, thus limiting both throughput and the range of potential applications. Here we introduce threshold adjacency statistics, the essence which is to threshold the image and to count the number of above threshold pixels with a given number of above threshold pixels adjacent. These novel measures are shown to distinguish and classify images of distinct sub-cellular localization with high speed and accuracy without image cropping.     

Statistical and visual differentiation of subcellular imaging

Background  

Automated microscopy technologies have led to a rapid growth in imaging data on a scale comparable to that of the genomic revolution. High throughput screens are now being performed to determine the localisation of all of proteins in a proteome. Closer to the bench, large image sets of proteins in treated and untreated cells are being captured on a daily basis to determine function and interactions. Hence there is a need for new methodologies and protocols to test for difference in subcellular imaging both to remove bias and enable throughput. Here we introduce a novel method of statistical testing, and supporting software, to give a rigorous test for difference in imaging. We also outline the key questions and steps in establishing an analysis pipeline.