Distribution and Role of Heterotrimeric G-Proteins in the Secretory Pathway of Polarized Epithelial-Cells

The movement of newly synthesized proteins in the constitutive secretory pathway, from their site of synthesis in the endoplasmic reticulum to the cell surface or to intracellular destinations, requires an orderly sequence of transport steps between membrane-bound compartments. Until recently, the trafficking and secretion of proteins through this pathway was thought to occur as a relatively automatic, unregulated series of events. Recent studies show that protein trafficking in the constitutive secretory pathway requires GTP hydrolysis by families of GTP-binding proteins (G proteins), which at multiple steps potentially provide regulation and specificity for protein trafficking. Many monomeric G proteins are known to be localized and functional on membrane compartments in the constitutive secretory pathway. Now, members of the heterotrimeric G protein family have also been localized on intracellular membranes and compartments such as the Golgi complex. We have studied the localization and targeting of G alpha subunits to distinct membrane domains in polarized epithelial cells. The distribution of different G alpha subunits on very specific membrane domains in cultured epithelial cells, and in epithelial cells of the kidney cortex, is highly suggestive of roles for these G proteins in intracellular trafficking pathways. One of these G protein subunits, G alpha(i-3), was localized on Golgi membranes. Studies on LLC-PK1 cells overexpressing G alpha(i-3) provided evidence for its functional role in regulating the transport of a constitutively secreted heparan sulfate proteoglycan through the Golgi complex. Inhibition or activation of heterotrimeric G proteins by pertussis toxin or by aluminium fluoride respectively, have provided further evidence for regulation of intracellular transport by pertussis toxin-sensitive G proteins. Although the functions of Golgi-associated G proteins are not yet understood at the molecular level, heterotrimeric G proteins have been implicated in the binding of cytosolic coat proteins and vesicle formation on Golgi membranes. Future studies will elucidate how multiple G proteins, of both the heterotrimeric and monomeric families, are involved in the regulation of Golgi function and protein trafficking in the secretory pathway. subunits on very specific membrane domains in cultured epithelia

Binding of the Cytosolic P200 Protein to Golgi Membranes Is Regulated by Heterotrimeric G-Proteins

The formation of vesicles for protein trafficking requires the dynamic binding of cytosolic coat proteins onto Golgi membranes and this binding is regulated by a variety of GTPases, including heterotrimeric G proteins. We have previously shown the presence of the pertussis toxin-sensitive Galpha(i-3) protein on Golgi membranes and demonstrated a functional role for Galpha(i-3) in the trafficking of secretory proteins through the Golgi complex. We have also described a brefeldin A-sensitive phosphoprotein, p200, which is found in the cytoplasm and on Golgi membranes. The present study investigations the role of heterotrimeric G proteins in the regulation of p200 binding to Golgi membranes. An in vitro binding assay was used to measure the binding of cytosolic p200 to LLC-PK1 cell microsomal membranes and to purified rat liver Golgi membranes in the presence of specific activators of G proteins. The binding of p200 to Golgi membranes was compared to that of the coatomer protein beta-COP, for which G protein-dependent membrane binding has previously been established. Membrane binding of both p200 and beta-COP was induced maximally by activation of all G proteins in the presence of GTPgammaS. More selective activation of the heterotrimeric G proteins, with AlFn or mastoparan, also induced membrane binding of p200 and beta-COP. Pertussis toxin pretreatment of Golgi membranes, to selectively inactivate Galpha(i-3), reduced the AlFn and mastoparan-induced binding of p200 to Golgi membranes, whereas no significant effect of pertussis toxin on beta-COP binding was found in this assay. The effect of pertussis toxin thus implicates Galpha(i-3), as one component of a regulatory pathway, in the binding of cytosolic p200 to Golgi membranes. The effects of AlFn and pertussis toxin on p200 membrane binding were also shown in intact cells by immunofluorescence staining. AlFn treatment of cells induced translocation of p200 from the cytoplasm onto the Golgi complex, resulting in a conformational change in some Golgi membranes. The translocation of p200 was blocked by pretreatment of intact NRK cells with pertussis toxin. The data presented here support the conclusion that the binding of the p200 protein to Golgi membranes involves regulation by the pertussis toxin-sensitive heterotrimeric G proteins, specifically the Galpha(i-3) protein

p230 is associated with vesicles budding from the trans-Golgi network

Transport vesicle formation requires the association of cytosolic proteins with the membrane, We have previously described a brefeldin-A sensitive, hydrophilic protein (p230), containing a very high frequency of heptad repeats, found in the cytosol and associated with Golgi membranes, We show here that p230 is localised on the trans-Golgi network, by immunogold labeling of HeLa cell cryosections using alpha 2,6 sialyltransferase as a compartment-specific marker, The role of G protein activators on the binding of p230 to Golgi membranes and in vesicle biogenesis has been investigated, Treatment of streptolysin-O permeabilised HeLa cells with either GTP gamma S or AlF4- resulted in accumulation of p230 on Golgi membranes, Furthermore, immunolabeling of isolated Golgi membranes treated with AlF4-, to induce the accumulation of vesicles, showed that p230 is predominantly localised to the cytoplasmic surface of trans-Golgi network-derived budding structures and small coated vesicles, p230-labeled vesicles have a thin (similar to 10 nm) electron dense cytoplasmic coat and could be readily distinguished from clathrin-coated vesicles, Dual immunogold labeling of perforated cells, or of cryosections of treated Golgi membranes, revealed that p230 and the trans-Golgi network-associated p200, which we show here to be distinct molecules, appear to be localised on separate populations of vesicles budding from the trans-Golgi network, These results strongly suggest the presence of distinct populations of non-clathrin coated vesicles derived from the trans-Golgi network, As p230 recycles between the cytosol and buds/vesicles of TGN membranes, a process regulated by G proteins, we propose that p230 is involved in the biogenesis of a specific population of non-clathrin coated vesicles

Targeting of Chimeric G-Alpha(I) Proteins to Specific Membrane Domains

Heterotrimeric guanine nucleotide-regulatory (G) proteins are associated with a variety of intracellular membranes and specific plasma membrane domains. In polarized epithelial LLC-PK1 cells we have shown previously that endogenous Galpha(i-2) is localized on the basolateral plasma membrane, whereas Galpha(i-3) is localized on Golgi membranes. The targeting of these highly homologous Galpha(i) proteins to distinct membrane domains was studied by the transfection and expression of chimeric Galpha(i) proteins in LLC-PK1 cells. Chimeric cDNAs were constructed from the cDNAs for Galpha(i-3) and Galpha(i-2) and introduced into a pMXX eukaryotic expression vector containing a mouse metaltothionein-I promotor. Stably transfected cell lines were produced that expressed either Galpha(i-2/3) or Galpha(i-3/2) chimeric proteins. Chimeric and endogenous Galpha(i) proteins were detected in cells using specific carboxy-terminal peptide antibodies. Immunofluorescence staining was used to localize endogenous and chimeric Galpha(i) proteins in LLC-PK1 cells. The staining of chimeric proteins was detected as an increased intensity of staining on membranes containing endogenous Galpha(i) proteins. Using confocal microscopy and image analysis we localized Galpha(i-2) to a specific sub-domain of the lateral membrane of polarized cells, the chimeric Galpha(i-3/2) protein was then shown to colocalize with endognenous Galpha(i-2) in the same lateral plasma membrane domain. The chimeric Galpha(i-2/3) protein colocalized with endogenous Galpha(i-3) on Golgi membranes in LLC-PK1 cells. These results show that chimeric Galpha(i) proteins were targeted to the same membrane domains as endogenous Galpha(i) proteins and the specificity of their membrane targeting was conferred by the carboxy-terminal end of the proteins. These data provide the first evidence for specific targeting information contained in the carboxy termini of Galpha(i) proteins, which appears to be independent of amino-terminal membrane attachment sites in these proteins

Caterpillars and fungal pathogens: two co-occurring parasites of an ant-plant mutualism

In mutualisms, each interacting species obtains resources from its partner that it would obtain less efficiently if alone, and so derives a net fitness benefit. In exchange for shelter (domatia) and food, mutualistic plant-ants protect their host myrmecophytes from herbivores, encroaching vines and fungal pathogens. Although selective filters enable myrmecophytes to host those ant species most favorable to their fitness, some insects can by-pass these filters, exploiting the rewards supplied whilst providing nothing in return. This is the case in French Guiana for Cecropia obtusa (Cecropiaceae) as Pseudocabima guianalis caterpillars (Lepidoptera, Pyralidae) can colonize saplings before the installation of their mutualistic Azteca ants. The caterpillars shelter in the domatia and feed on food bodies (FBs) whose production increases as a result. They delay colonization by ants by weaving a silk shield above the youngest trichilium, where the FBs are produced, blocking access to them. This probable temporal priority effect also allows female moths to lay new eggs on trees that already shelter caterpillars, and so to occupy the niche longer and exploit Cecropia resources before colonization by ants. However, once incipient ant colonies are able to develop, they prevent further colonization by the caterpillars. Although no higher herbivory rates were noted, these caterpillars are ineffective in protecting their host trees from a pathogenic fungus, Fusarium moniliforme (Deuteromycetes), that develops on the trichilium in the absence of mutualistic ants. Therefore, the Cecropia treelets can be parasitized by two often overlooked species: the caterpillars that shelter in the domatia and feed on FBs, delaying colonization by mutualistic ants, and the fungal pathogen that develops on old trichilia. The cost of greater FB production plus the presence of the pathogenic fungus likely affect tree growth

Behavioural syndrome in a solitary predator is independent of body size and growth rate.

Models explaining behavioural syndromes often focus on state-dependency, linking behavioural variation to individual differences in other phenotypic features. Empirical studies are, however, rare. Here, we tested for a size and growth-dependent stable behavioural syndrome in the juvenile-stages of a solitary apex predator (pike, Esox lucius), shown as repeatable foraging behaviour across risk. Pike swimming activity, latency to prey attack, number of successful and unsuccessful prey attacks was measured during the presence/absence of visual contact with a competitor or predator. Foraging behaviour across risks was considered an appropriate indicator of boldness in this solitary predator where a trade-off between foraging behaviour and threat avoidance has been reported. Support was found for a behavioural syndrome, where the rank order differences in the foraging behaviour between individuals were maintained across time and risk situation. However, individual behaviour was independent of body size and growth in conditions of high food availability, showing no evidence to support the state-dependent personality hypothesis. The importance of a combination of spatial and temporal environmental variation for generating growth differences is highlighted

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. RESULTS: Threshold adjacency statistics are applied to classification of protein sub-cellular localization images. They are tested on two image sets (available for download), one for which fluorescently tagged proteins are endogenously expressed in 10 sub-cellular locations, and another for which proteins are transfected into 11 locations. For each image set, a support vector machine was trained and tested. Classification accuracies of 94.4% and 86.6% are obtained on the endogenous and transfected sets, respectively. Threshold adjacency statistics are found to provide comparable or higher accuracy than other commonly used statistics while being an order of magnitude faster to calculate. Further, threshold adjacency statistics in combination with Haralick measures give accuracies of 98.2% and 93.2% on the endogenous and transfected sets, respectively. CONCLUSION: Threshold adjacency statistics have the potential to greatly extend the scale and range of applications of image statistics in computational image analysis. They remove the need for cropping of individual cells from images, and are an order of magnitude faster to calculate than other commonly used statistics while providing comparable or better classification accuracy, both essential requirements for application to large-scale approaches

Global quantitative indices reflecting provider process-of-care: data-base derivation

Background: Controversy has attended the relationship between risk-adjusted mortality and process-of-care. There would be advantage in the establishment, at the data-base level, of global quantitative indices subsuming the diversity of process-of-care. Methods: A retrospective, cohort study of patients identified in the Australian and New Zealand Intensive Care Society Adult Patient Database, 1993-2003, at the level of geographic and ICU-level descriptors (n = 35), for both hospital survivors and non-survivors. Process-of-care indices were established by analysis of: (i) the smoothed time-hazard curve of individual patient discharge and determined by pharmaco-kinetic methods as area under the hazard-curve (AUC), reflecting the integrated experience of the discharge process, and time-to-peak-hazard (TMAX, in days), reflecting the time to maximum rate of hospital discharge; and (ii) individual patient ability to optimize output (as length-of-stay) for recorded data-base physiological inputs; estimated as a technical production-efficiency (TE, scaled [0,(maximum)1]), via the econometric technique of stochastic frontier analysis. For each descriptor, multivariate correlation-relationships between indices and summed mortality probability were determined. Results: The data-set consisted of 223129 patients from 99 ICUs with mean (SD) age and APACHE III score of 59.2(18.9) years and 52.7(30.6) respectively; 41.7% were female and 45.7% were mechanically ventilated within the first 24 hours post-admission. For survivors, AUC was maximal in rural and for-profit ICUs, whereas TMAX (≥ 7.8 days) and TE (≥ 0.74) were maximal in tertiary-ICUs. For non-survivors, AUC was maximal in tertiary-ICUs, but TMAX (≥ 4.2 days) and TE (≥ 0.69) were maximal in for-profit ICUs. Across descriptors, significant differences in indices were demonstrated (analysisof- variance, P ≤ 0.0001). Total explained variance, for survivors (0.89) and non-survivors (0.89), was maximized by combinations of indices demonstrating a low correlation with mortality probability. Conclusions: Global indices reflecting process of care may be formally established at the level of national patient databases. These indices appear orthogonal to mortality outcome.John L Moran, Patricia J Solomon and the Adult Database Management Committee (ADMC) of the Australian and New Zealand Intensive Care Society (ANZICS