2,706 research outputs found
Computational analysis of the LRRK2 interactome.
LRRK2 was identified in 2004 as the causative protein product of the Parkinson's disease locus designated PARK8. In the decade since then, genetic studies have revealed at least 6 dominant mutations in LRRK2 linked to Parkinson's disease, alongside one associated with cancer. It is now well established that coding changes in LRRK2 are one of the most common causes of Parkinson's. Genome-wide association studies (GWAs) have, more recently, reported single nucleotide polymorphisms (SNPs) around the LRRK2 locus to be associated with risk of developing sporadic Parkinson's disease and inflammatory bowel disorder. The functional research that has followed these genetic breakthroughs has generated an extensive literature regarding LRRK2 pathophysiology; however, there is still no consensus as to the biological function of LRRK2. To provide insight into the aspects of cell biology that are consistently related to LRRK2 activity, we analysed the plethora of candidate LRRK2 interactors available through the BioGRID and IntAct data repositories. We then performed GO terms enrichment for the LRRK2 interactome. We found that, in two different enrichment portals, the LRRK2 interactome was associated with terms referring to transport, cellular organization, vesicles and the cytoskeleton. We also verified that 21 of the LRRK2 interactors are genetically linked to risk for Parkinson's disease or inflammatory bowel disorder. The implications of these findings are discussed, with particular regard to potential novel areas of investigation
Exploring autophagy with Gene Ontology.
Autophagy is a fundamental cellular process that is well conserved among eukaryotes. It is one of the strategies that cells use to catabolize substances in a controlled way. Autophagy is used for recycling cellular components, responding to cellular stresses and ridding cells of foreign material. Perturbations in autophagy have been implicated in a number of pathological conditions such as neurodegeneration, cardiac disease and cancer. The growing knowledge about autophagic mechanisms needs to be collected in a computable and shareable format to allow its use in data representation and interpretation. The Gene Ontology (GO) is a freely available resource that describes how and where gene products function in biological systems. It consists of 3 interrelated structured vocabularies that outline what gene products do at the biochemical level, where they act in a cell and the overall biological objectives to which their actions contribute. It also consists of \u27annotations\u27 that associate gene products with the terms. Here we describe how we represent autophagy in GO, how we create and define terms relevant to autophagy researchers and how we interrelate those terms to generate a coherent view of the process, therefore allowing an interoperable description of its biological aspects. We also describe how annotation of gene products with GO terms improves data analysis and interpretation, hence bringing a significant benefit to this field of study. Autophagy 2018; 14(3):419-436
Exploring autophagy with Gene Ontology.
Autophagy is a fundamental cellular process that is well conserved among eukaryotes. It is one of the strategies that cells use to catabolize substances in a controlled way. Autophagy is used for recycling cellular components, responding to cellular stresses and ridding cells of foreign material. Perturbations in autophagy have been implicated in a number of pathological conditions such as neurodegeneration, cardiac disease and cancer. The growing knowledge about autophagic mechanisms needs to be collected in a computable and shareable format to allow its use in data representation and interpretation. The Gene Ontology (GO) is a freely available resource that describes how and where gene products function in biological systems. It consists of 3 interrelated structured vocabularies that outline what gene products do at the biochemical level, where they act in a cell and the overall biological objectives to which their actions contribute. It also consists of \u27annotations\u27 that associate gene products with the terms. Here we describe how we represent autophagy in GO, how we create and define terms relevant to autophagy researchers and how we interrelate those terms to generate a coherent view of the process, therefore allowing an interoperable description of its biological aspects. We also describe how annotation of gene products with GO terms improves data analysis and interpretation, hence bringing a significant benefit to this field of study. Autophagy 2018 Feb 17; 1-18
Direct transport across the plasma membrane of mammalian cells of Leishmania HASPB as revealed by a CHO export mutant
Leishmania HASPB is a lipoprotein that is exported to the extracellular space from both Leishmania parasites and mammalian cells via an unconventional secretory pathway. Exported HASPB remains anchored in the outer leaflet of the plasma membrane mediated by myristate and palmitate residues covalently attached to the N-terminal SH4 domain of HASPB. HASPB targeting to the plasma membrane depends on SH4 acylation that occurs at intracellular membranes. How acylated HASPB is targeted to the plasma membrane and, in particular, the subcellular site of HASPB membrane translocation is unknown. In order to address this issue, we screened for clonal CHO mutants that are incapable of exporting HASPB. A detailed characterization of such a CHO mutant cell line revealed that the expression level of the HASPB reporter molecule is unchanged compared to CHO wild-type cells; that it is both myristoylated and palmitoylated; and that it is mainly localized to the plasma membrane as judged by confocal microscopy and subcellular fractionation. However, based on a quantitative flow cytometry assay and a biochemical biotinylation assay of surface proteins, HASPB transport to the outer leaflet of the plasma membrane is largely reduced in this mutant. From these data, we conclude that the subcellular site of HASPB membrane translocation is the plasma membrane as the reporter molecule accumulates in this location when export is blocked. Thus, these results allow us to define a two-step process of HASPB cell surface biogenesis in which SH4 acylation of HASPB firstly mediates intracellular targeting to the plasma membrane. In a second step, the plasma membrane-resident machinery, which is apparently disrupted in the CHO mutant cell line, mediates membrane translocation of HASPB. Intriguingly, the angiogenic growth factor FGF-2, another protein secreted by unconventional means, is shown to be secreted normally from the HASPB export mutant cell line. These observations demonstrate that the export machinery component defective in the export mutant cell line functions specifically in the HASPB export pathway
Clemastine/tamoxifen hybrids as easily accessible antileishmanial drug leads
A library of hybrid molecules is developed based on the common chemical features shared by clemastine and tamoxifen both of which are well known for their antileishmanial activities. In the initial screening against Leishmania major and L. amazonensis promastigotes, as well as cytotoxicity assays using HepG2 cells, several hybrids showed submicromolar activity against the parasite and no toxicity against human cells. The compounds with an EC50 10 were further characterized against intracellular amastigotes as well as promastigotes of species that cause both visceral and cutaneous leishmaniasis, such as L. infantum and L. braziliensis, respectively. These sequential screenings revealed the high pan-activity of this class of molecules against these species, with several compounds displaying an EC50 ≤ 2 μM against both promastigotes and intracellular amastigotes. Two of them were identified as the potential templates for lead optimization of this series having shown the highest activities against all species in both stages of parasite. The present findings can serve as a good starting point in the search for novel antileishmanial compounds that are easy to access and highly active
Exploratory Behavior, Trap Models and Glass Transitions
A random walk is performed on a disordered landscape composed of sites
randomly and uniformly distributed inside a -dimensional hypercube. The
walker hops from one site to another with probability proportional to , where is the inverse of a formal temperature and
is an arbitrary cost function which depends on the hop distance .
Analytic results indicate that, if and , there
exists a glass transition at . Below
, the average trapping time diverges and the system falls into an
out-of-equilibrium regime with aging phenomena. A L\'evy flight scenario and
applications to exploratory behavior are considered.Comment: 4 pages, 1 figure, new versio
Learning from peer feedback on student-generated multiple choice questions: Views of introductory physics students
PeerWise is an online application where students are encouraged to generate a bank of multiple choice questions for their classmates to answer. After answering a question, students can provide feedback to the question author about the quality of the question and the question author can respond to this. Student use of, and attitudes to, this online community within PeerWise was investigated in two large first year undergraduate physics courses, across three academic years, to explore how students interact with the system and the extent to which they believe PeerWise to be useful to their learning. Most students recognized that there is value in engaging with PeerWise, and many students engaged deeply with the system, thinking critically about the quality of their submissions and reflecting on feedback provided to them. Students also valued the breadth of topics and level of difficulty offered by the questions, recognized the revision benefits afforded by the resource, and were often willing to contribute to the community by providing additional explanations and engaging in discussion
Supporting User-Defined Functions on Uncertain Data
Uncertain data management has become crucial in many sensing and scientific applications. As user-defined functions (UDFs) become widely used in these applications, an important task is to capture result uncertainty for queries that evaluate UDFs on uncertain data. In this work, we provide a general framework for supporting UDFs on uncertain data. Specifically, we propose a learning approach based on Gaussian processes (GPs) to compute approximate output distributions of a UDF when evaluated on uncertain input, with guaranteed error bounds. We also devise an online algorithm to compute such output distributions, which employs a suite of optimizations to improve accuracy and performance. Our evaluation using both real-world and synthetic functions shows that our proposed GP approach can outperform the state-of-the-art sampling approach with up to two orders of magnitude improvement for a variety of UDFs. 1
Pengembangan Aplikasi Penjadwalan Wisata Harian pada Smartphone dengan Pendekatan Scrum
The technology development affects people activites especially in this 20th century. Mobile phone ischanged into smartphone and travelling becomes a new lifestlye. A Tourism scheduler with a reminder is created from this research to fulfill the new trend of people lifestyle. The travelling data is stored in the system and some information such as the point of interest of an area, hotel, and transportation to reach the area are provided. Waterfall model becomes the method to build this system. Hence, an application that can create a trip for the user is completely built in Blackberry application system, consist of the trip information. The history feature provided in this application can be an advantange for the user to choose the new travelling destination. Moreover, the application has a good interface follow the eight golden rules and has a good performance that helps the tourists/users to create their own schedule and set the reminder for them
Deployment characterization of a floatable tidal energy converter on a tidal channel, Ria Formosa, Portugal
This paper presents the results of a pilot experiment with an existing tidal energy converter (TEC),
Evopod 1 kW floatable prototype, in a real test case scenario (Faro Channel, Ria Formosa, Portugal). A
baseline marine geophysical, hydrodynamic and ecological study based on the experience collected on
the test site is presented. The collected data was used to validate a hydro-morphodynamic model,
allowing the selection of the installation area based on both operational and environmental constraints.
Operational results related to the description of power generation capacity, energy capture area and
proportion of energy flux are presented and discussed, including the failures occurring during the
experimental setup. The data is now available to the scientific community and to TEC industry developers,
enhancing the operational knowledge of TEC technology concerning efficiency, environmental
effects, and interactions (i.e. device/environment). The results can be used by developers on the licensing
process, on overcoming the commercial deployment barriers, on offering extra assurance and confidence
to investors, who traditionally have seen environmental concerns as a barrier, and on providing the
foundations whereupon similar deployment areas can be considered around the world for marine tidal
energy extraction.Acknowledgements
The paper is a contribution to the SCORE project, funded by the
Portuguese Foundation for Science and Technology (FCT e PTDC/
AAG-TEC/1710/2014). Andre Pacheco was supported by the Portu-
guese Foundation for Science and Technology under the Portuguese
Researchers' Programme 2014 entitled “Exploring new concepts for
extracting energy from tides” (IF/00286/2014/CP1234). Eduardo GGorbena has received funding for the OpTiCA project from the ~
Marie Skłodowska-Curie Actions of the European Union's H2020-
MSCA-IF-EF-RI-2016/under REA grant agreement n [748747]. The
authors would like to thank to the Portuguese Maritime Authorities
and Sofareia SA for their help on the deployment.info:eu-repo/semantics/publishedVersio
- …