Ric1p and the Ypt6p GTPase Function in a Common Pathway Required for Localization of Trans-Golgi Network Membrane Proteins

In Saccharomyces cerevisiae, clathrin is necessary for localization of trans-Golgi network (TGN) membrane proteins, a process that involves cycling of TGN proteins between the TGN and endosomes. To characterize further TGN protein localization, we applied a screen for mutations that cause severe growth defects in combination with a temperature-sensitive clathrin heavy chain. This screen yielded a mutant allele of RIC1. Cells carrying a deletion of RIC1 (ric1Δ) mislocalize TGN membrane proteins Kex2p and Vps10p to the vacuole. Delivery to the vacuole occurs in ric1Δ cells also harboring end3Δ to block endocytosis, indicative of a defect in retrieval to the TGN rather than sorting to endosomes. SYS1, originally discovered as a multicopy suppressor of defects caused by the absence of the Rab GTPase YPT6, was identified as a multicopy suppressor of ric1Δ. Further comparison of ric1Δ and ypt6Δ cells demonstrated identical phenotypes. Multicopy plasmids expressing v-SNAREs Gos1p or Ykt6p, but not other v- and t-SNAREs, partially suppressed phenotypes of ric1Δ and ypt6Δ cells. SLY1–20, a dominant activator of the cis-Golgi network t-SNARE Sed5p, also functioned as a multicopy suppressor. Because Gos1p and Ykt6p interact with Sed5p, these results raise the possibility that TGN membrane protein localization requires Ric1p- and Ypt6p-dependent retrieval to the cis-Golgi network.

Innovation in the teaching of sustainable development in Europe: the case of ISLE Erasmus Network

Sustainable Development (SD) is one of the most widely used terms during the last years. It is a multidisciplinary concept, which applies mostly to life sciences but is not limited to them. Even though the short survey conducted by the authors revealed that there are only a few cases of Higher Educational Institutes (HEIs) around Europe that provide programs dedicated to SD, it is obvious that there is a constant raise in the need for implementing courses related to SD in existing programs. This paper discusses the case study of I.S.L.E., an Erasmus Academic Network, which aims to use the existing knowledge and tools in the context of teaching sustainable development topics in Universities and HEIs around Europe as a basis, and elaborate further by introducing an innovative approach towards the improvement of teaching SD in HEIs, based on the current needs as they are identified by the actions of the Network.

Analyzing the commercial activities of a street network by ranking their nodes: a case study in Murcia, Spain

Urban researchers and planners are often interested in understanding how economic activities are distributed in urban regions, what forces influence their special pattern and how urban structure and functions are mutually dependent. In this paper, we want to show how an algorithm for ranking the nodes in a network can be used to understand and visualize certain commercial activities of a city. The first part of the method consists of collecting real information about different types of commercial activities at each location in the urban network of the city of Murcia, Spain. Four clearly differentiated commercial activities are studied, such as restaurants and bars, shops, banks and supermarkets or department stores, but obviously we can study other. The information collected is then quantified by means of a data matrix, which is used as the basis for the implementation of a PageRank algorithm which produces a ranking of all the nodes in the network, according to their significance within it. Finally, we visualize the resulting classification using a colour scale that helps us to represent the business network.

Ground-water quality and geochemistry of Las Vegas Valley, Clark County, Nevada, 1981-83 : implementation of a monitoring network /

Mode of access: Internet.

Unity of the iron network: showing how the last argument for the break of gauge, competition, is at variance with the true interests of the public.

Mode of access: Internet.

Wings of progress : State of Illinois Demonstration Network, fiscal year 198l.

"Title IV, ESEA."

Environmental characteristics and water quality of hydrologic benchmark network stations in the eastern United States, 1963-95 /

Mode of access: Internet.

Environmental characteristics and water quality of hydrologic benchmark network stations in the midwestern United States, 1963-95 /

Mode of access: Internet.

GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease

Background The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and environmental factors remains a statistical and computational challenge in genetic epidemiology. We have previously introduced a genetic programming optimized neural network (GPNN) as a method for optimizing the architecture of a neural network to improve the identification of gene combinations associated with disease risk. The goal of this study was to evaluate the power of GPNN for identifying high-order gene-gene interactions. We were also interested in applying GPNN to a real data analysis in Parkinson's disease. Results We show that GPNN has high power to detect even relatively small genetic effects (2–3% heritability) in simulated data models involving two and three locus interactions. The limits of detection were reached under conditions with very small heritability (

GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease

Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and environmental factors remains a statistical and computational challenge in genetic epidemiology. We have previously introduced a genetic programming optimized neural network (GPNN) as a method for optimizing the architecture of a neural network to improve the identification of gene combinations associated with disease risk. The goal of this study was to evaluate the power of GPNN for identifying high-order gene-gene interactions. We were also interested in applying GPNN to a real data analysis in Parkinson's disease. Results: We show that GPNN has high power to detect even relatively small genetic effects (2-3% heritability) in simulated data models involving two and three locus interactions. The limits of detection were reached under conditions with very small heritability (

The network structure of a regional tourism organization: Application of he social network theory in one region of Queensland

Regional tourism organizations (RTOs) plays a central role in planning, coordinating and marketing tourism in many areas, including Queensland, Australia. RTOs rely on interaction with a network of other organizations for their efficient functioning. This paper describes an exploratory case study that develops a method for use of social network analysis techniques to analyse the inter-organizational network in one RTO region in Queensland. Results indicate that differences exist in the structure of inter-organizational links between commercial tourism organizations and planning organizations, between tourism organizations and other sectoral clusters, and between organizations at local, regional and state levels. The results highlight areas or improvement in the role and responsibilities of RTOs in Queensland.