1,182 research outputs found
The influence of towers and conductor sag on transmission-line shielding
This paper is the third of a sequence of papers intended to present data which may be used in determining the degree of protection from lightning obtainable by shielding transmission lines and structures with grounded overhead wires and masts. The first two papers of the sequence are: “Shielding of Transmission Lines,” and “Shielding of Substations.
Leishmania donovani promastigotes evade the antimicrobial activity of neutrophil extracellular traps
The influence of towers and conductor sag on transmission-line shielding
This paper is the third of a sequence of papers intended to present data which may be used in determining the degree of protection from lightning obtainable by shielding transmission lines and structures with grounded overhead wires and masts. The first two papers of the sequence are: “Shielding of Transmission Lines,” and “Shielding of Substations.
A Computational Pipeline for the Development of Multi-Marker Bio-Signature Panels and Ensemble Classifiers
BACKGROUND:Biomarker panels derived separately from genomic and proteomic data and with a variety of computational methods have demonstrated promising classification performance in various diseases. An open question is how to create effective proteo-genomic panels. The framework of ensemble classifiers has been applied successfully in various analytical domains to combine classifiers so that the performance of the ensemble exceeds the performance of individual classifiers. Using blood-based diagnosis of acute renal allograft rejection as a case study, we address the following question in this paper: Can acute rejection classification performance be improved by combining individual genomic and proteomic classifiers in an ensemble?RESULTS:The first part of the paper presents a computational biomarker development pipeline for genomic and proteomic data. The pipeline begins with data acquisition (e.g., from bio-samples to microarray data), quality control, statistical analysis and mining of the data, and finally various forms of validation. The pipeline ensures that the various classifiers to be combined later in an ensemble are diverse and adequate for clinical use. Five mRNA genomic and five proteomic classifiers were developed independently using single time-point blood samples from 11 acute-rejection and 22 non-rejection renal transplant patients. The second part of the paper examines five ensembles ranging in size from two to 10 individual classifiers. Performance of ensembles is characterized by area under the curve (AUC), sensitivity, and specificity, as derived from the probability of acute rejection for individual classifiers in the ensemble in combination with one of two aggregation methods: (1) Average Probability or (2) Vote Threshold. One ensemble demonstrated superior performance and was able to improve sensitivity and AUC beyond the best values observed for any of the individual classifiers in the ensemble, while staying within the range of observed specificity. The Vote Threshold aggregation method achieved improved sensitivity for all 5 ensembles, but typically at the cost of decreased specificity.CONCLUSION:Proteo-genomic biomarker ensemble classifiers show promise in the diagnosis of acute renal allograft rejection and can improve classification performance beyond that of individual genomic or proteomic classifiers alone. Validation of our results in an international multicenter study is currently underway
Effect of BMAP-28 Antimicrobial Peptides on Leishmania major Promastigote and Amastigote Growth: Role of Leishmanolysin in Parasite Survival
Protozoan parasites are the causative agent of much disease in tropical areas of the world. Currently, the control of these diseases is dependent on outdated drug treatment, with associated high toxicity and drug resistance. There is an urgent need for novel anti-parasitic therapies. One emerging anti-parasitic therapies is Host defence peptides (HDPs). Here we test the HDP BMAP-28 as an anti-leishmanial therapy against two lifecycle stages of Leishmania major, the promastigotes (insect infective form) and the intracellular amastigote (mammalian infective form). Two stereoisomers of BMAP-28, the D-amino acid form (D-BMAP-28) and the retro-inverso form (RI-BMAP-28), were also tested for anti-leishmanial activity. The BMAP-28 form (L-form) was susceptible to degradation by GP63, the metalloproteinase that covers the promastigotes cell surface. However, the BMAP-28 isomers, the D-form and RI-form were resistant, and therefore more potent against the promastigote parasite. Though other anti-leishmanial HDP studies focus on the promastigote form of the parasite, it is the mammalian infective form, the amastigote, which causes the disease symptoms. Here we demonstrate that BMAP-28 and its isomers D-BMAP-28 and RI-BMAP-28 are effective against the amastigote form of the parasite using a macrophage infection model. These findings show that BMAP-28 has excellent potential as a novel anti-leishmanial therapeutic
MDQC: a new quality assessment method for microarrays based on quality control reports
Motivation: The process of producing microarray data involves multiple steps, some of which may suffer from technical problems and seriously damage the quality of the data. Thus, it is essential to identify those arrays with low quality. This article addresses two questions: (1) how to assess the quality of a microarray dataset using the measures provided in quality control (QC) reports; (2) how to identify possible sources of the quality problems. Results: We propose a novel multivariate approach to evaluate the quality of an array that examines the ‘Mahalanobis distance' of its quality attributes from those of other arrays. Thus, we call it Mahalanobis Distance Quality Control (MDQC) and examine different approaches of this method. MDQC flags problematic arrays based on the idea of outlier detection, i.e. it flags those arrays whose quality attributes jointly depart from those of the bulk of the data. Using two case studies, we show that a multivariate analysis gives substantially richer information than analyzing each parameter of the QC report in isolation. Moreover, once the QC report is produced, our quality assessment method is computationally inexpensive and the results can be easily visualized and interpreted. Finally, we show that computing these distances on subsets of the quality measures in the report may increase the method's ability to detect unusual arrays and helps to identify possible reasons of the quality problems. Availability: The library to implement MDQC will soon be available from Bioconductor Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics onlin
A Study of the Sediments of Narragansett Bay, Volume 1: The Surface Sediments of Narragansett Bay
This report is divided into two volumes. The focus of Volume I is the surface sediments of Narragansett Bay. Volume I contains a study of the surface sediments of Narragansett Bay (Chapter 1), a study of suspended sediments in the northwestern section of the Narragansett Bay System (Chapter 2), a study of the relationship between contaminant concentrations in the surface sediments and soft tissues of the hard clam, Mercenaria mercenaria in Narragansett Bay (Chapter 3), and the results of a side-scan sonar survey of the Providence River dredged channel (Chapter 4).
The focus of Volume II is a study of sediment cores from the Narragansett Bay System. Chapter 5 contains the results of geophysical (side-scan and sub-bottom sonar) that support the core studies. The results of studies of sediment cores from Narragansett Bay are contained in Chapter 6, and the results of sediment core studies from its freshwater tributaries (i.e., the Blackstone and Pawtuxet Rivers) are contained in Chapter 7.
(Text taken from report preface
Protein adsorption on preadsorbed polyampholytic monolayers
The adsorption behaviour of five different globular proteins on pure silicon substrates and on preadsorbed polyampholytic monolayers has been investigated as a function of protein concentration. The prelayers were prepared by adsorption of the ampholytic diblock copolymer poly(methacrylic acid)-block-poly ((dimethylamino)ethyl methacrylate) (PMAA-b-PDMAEMA). This polyampholyte adsorbs in densely packed micelles directly from aqueous solution. Ellipsometry was used to determine the amount of adsorbed polyampholyte and protein. While ATR-IR spectroscopy gives information about the adsorption and desorption behaviour of the preadsorbed polyampholytic layer, the lateral structures of the dried films were investigated by scanning force microscopy (SFM). The amount of protein adsorbed was found to be strongly influenced by the preadsorbed polyampholyte compared to the adsorption on the pure silicon substrates. No displacement of the polyampholyte by the proteins was detected. In most cases the protein adsorption was reduced by the preadsorbed polyampholytic layer. The observed trends are explained by the change in electrostatic and hydrophilic characteristics of the substrates. Furthermore, the entropy of adsorption has to be taken into account.Peer reviewe
Leishmania-Induced Inactivation of the Macrophage Transcription Factor AP-1 Is Mediated by the Parasite Metalloprotease GP63
Leishmania parasites have evolved sophisticated mechanisms to subvert macrophage immune responses by altering the host cell signal transduction machinery, including inhibition of JAK/STAT signalling and other transcription factors such as AP-1, CREB and NF-κB. AP-1 regulates pro-inflammatory cytokines, chemokines and nitric oxide production. Herein we show that upon Leishmania infection, AP-1 activity within host cells is abolished and correlates with lower expression of 5 of the 7 AP-1 subunits. Of interest, c-Jun, the central component of AP-1, is cleaved by Leishmania. Furthermore, the cleavage of c-Jun is dependent on the expression and activity of the major Leishmania surface protease GP63. Immunoprecipitation of c-Jun from nuclear extracts showed that GP63 interacts, and cleaves c-Jun at the perinuclear area shortly after infection. Phagocytosis inhibition by cytochalasin D did not block c-Jun down-regulation, suggesting that internalization of the parasite might not be necessary to deliver GP63 molecules inside the host cell. This observation was corroborated by the maintenance of c-Jun cleavage upon incubation with L. mexicana culture supernatant, suggesting that secreted, soluble GP63 could use a phagocytosis-independent mechanism to enter the host cell. In support of this, disruption of macrophage lipid raft microdomains by Methyl β-Cyclodextrin (MβCD) partially inhibits the degradation of full length c-Jun. Together our results indicate a novel role of the surface protease GP63 in the Leishmania-mediated subversion of host AP-1 activity
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